Huan Liu - RankMe

897 papers A* 141A 124B 56C 4Misc 2Journal 392Unranked 136

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem. CoRR Rui Liu, Tao Zhe, Dongjie Wang, Zijun Yao, Kunpeng Liu, Yanjie Fu, Huan Liu, Jian Pei
2026	A*	`conf`	Causality Guided Representation Learning for Cross-Style Hate Speech Detection. WWW Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan, Huan Liu
2026	J	`jnl`	Close-enough general routing problem for multiple unmanned aerial vehicles in monitoring missions. CoRR Huan Liu, Michel Gendreau, Binjie Xu, Guohua Wu, Yi Gu
2026	A*	`conf`	Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling. WWW Xuankai Yang, Yan Wang, Jiajie Zhu, Pengfei Ding, Hongyang Liu, Xiuzhen Zhang, Huan Liu
2026	J	`jnl`	Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling. CoRR Xuankai Yang, Yan Wang, Jiajie Zhu, Pengfei Ding, Hongyang Liu, Xiuzhen Zhang, Huan Liu
2026	J	`jnl`	DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers. CoRR Shu Wan, Saketh Vishnubhatla, Iskander Kushbay, Tom Heffernan, Aaron Belikoff, Raha Moraffah, Huan Liu
2026	A	`conf`	Explaining the 'Unexplainable' Large Language Models. WSDM Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu
2026	J	`jnl`	GLM-OCR Technical Report. CoRR Shuaiqi Duan, Yadong Xue, Weihan Wang, Zhe Su, Huan Liu, Sheng Yang, Guobing Gan, Guo Wang, Zihan Wang, Shengdong Yan, Dexin Jin, Yuxuan Zhang, Guohong Wen, Yanfeng Wang, Yutao Zhang, Xiaohan Zhang, Wenyi Hong, Yukuo Cen, Da Yin, Bin Chen, Wenmeng Yu, Xiaotao Gu, Jie Tang
2026	J	`jnl`	GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems. CoRR Hongjiang Chen, Xin Zheng, Yixin Liu, Pengfei Jiao, Shiyuan Li, Huan Liu, Zhidong Zhao, Ziqi Xu, Ibrahim Khalil, Shirui Pan
2026	A*	`conf`	Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm. AAAI Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2026	A	`conf`	On Causal and Anticausal LLM-based Data Synthesis. WSDM Bohan Jiang, Pingchuan Ma, Zhuoyu Shi, Fred Morstatter, Adrienne Raglin, Huan Liu
2026	J	`jnl`	Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion. CoRR Zhen Tan, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2026	J	`jnl`	Proxy-Guided Measurement Calibration. CoRR Saketh Vishnubhatla, Shu Wan, Andre Harrison, Adrienne Raglin, Huan Liu
2026	A*	`conf`	RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking. AAAI Yehan Sun, Rongrong Ni, Chuangchuang Tan, Huan Liu, Wenhao Ni, Renshuai Tao, Yao Zhao
2026	J	`jnl`	ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents. CoRR Dawei Li, Yuguang Yao, Zhen Tan, Huan Liu, Ruocheng Guo
2026	A	`conf`	Workshop on Benchmarking Causal Models (CausalBench). WSDM K. Selcuk Candan, Huan Liu, Ruocheng Guo, Paras Sheth
2025	J	`jnl`	A Survey of Scaling in Large Language Model Reasoning. CoRR Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li
2025	J	`jnl`	A natural language processing-based approach for early detection of heart failure onset using electronic health records. Knowl. Based Syst. Yuxi Liu, Zhen Tan, Zhenhao Zhang, Song Wang, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian
2025	—	`conf`	AI4DE: The 1st International Workshop on AI for Data Editing. KDD (2) Yanjie Fu, Kunpeng Liu, Dongjie Wang, Xiangliang Zhang, Khalid K. Osman, Charu Aggarwal, Suzanne M. Shontz, Huan Liu, Jian Pei
2025	A	`conf`	An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution. CIKM Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu
2025	J	`jnl`	An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution. CoRR Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu
2025	J	`jnl`	Are Today's LLMs Ready to Explain Well-Being Concepts? CoRR Bohan Jiang, Dawei Li, Zhen Tan, Chengshuai Zhao, Huan Liu
2025	J	`jnl`	Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. CoRR Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu
2025	J	`jnl`	Assessing On-the-Ground Disaster Impact Using Online Data Sources. CoRR Saketh Vishnubhatla, Ujun Jeong, Bohan Jiang, Paras Sheth, Zhen Tan, Adrienne Raglin, Huan Liu
2025	J	`jnl`	Autonomous Data Agents: A New Opportunity for Smart Data. CoRR Yanjie Fu, Dongjie Wang, Wangyang Ying, Xiangliang Zhang, Huan Liu, Jian Pei
2025	B	`conf`	Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models. IEEE Big Data Liangjie Huang, Dawei Li, Huan Liu, Lu Cheng
2025	J	`jnl`	Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models. CoRR Liangjie Huang, Dawei Li, Huan Liu, Lu Cheng
2025	A	`conf`	Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Benchmark. CIKM Zhenhui Ou, Dawei Li, Zhen Tan, Wenlin Li, Huan Liu, Siyuan Song
2025	A*	`conf`	C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. AAAI Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei
2025	J	`jnl`	CAMO: Causality-Guided Adversarial Multimodal Domain Generalization for Crisis Classification. CoRR Pingchuan Ma, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, Huan Liu
2025	J	`jnl`	CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration. CoRR Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, Huan Liu
2025	B	`conf`	Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions? IEEE Big Data Alimohammad Beigi, Bohan Jiang, Dawei Li, Zhen Tan, Pouya Shaeri, Tharindu Kumarage, Amrita Bhattacharjee, Huan Liu
2025	—	`conf`	Can Typos Cause Harm? The Impact of Imperfect Input on LLM Safety. SBP-BRiMS Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Alimohammad Beigi, Huan Liu
2025	B	`conf`	CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting. IEEE Big Data Shu Wan, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
2025	J	`jnl`	CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting. CoRR Shu Wan, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
2025	A	`conf`	CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking. CIKM Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan
2025	—	`conf`	CausalBench: Causal Learning Research Streamlined. KDD (2) Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan
2025	J	`jnl`	Causality Guided Representation Learning for Cross-Style Hate Speech Detection. CoRR Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan, Huan Liu
2025	A	`conf`	CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education. CIKM Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Ying-Chih Chen, Yuli Deng, Huan Liu
2025	J	`jnl`	CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation. CoRR Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Yuli Deng, Ying-Chih Chen, Huan Liu
2025	J	`jnl`	DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation. CoRR Pingzhi Li, Zhen Tan, Huaizhi Qu, Huan Liu, Tianlong Chen
2025	J	`jnl`	Domain Knowledge-Enhanced LLMs for Fraud and Concept Drift Detection. CoRR Ali Senol, Garima Agrawal, Huan Liu
2025	J	`jnl`	EHGFL: Contrastive distillation for efficient heterogeneous graph few-shot learning. Neurocomputing Ning Ruan, Yufei Zeng, Huan Liu, Dong Liu, Pengfei Jiao
2025	J	`jnl`	Efficient and Secure Storage Verification in Cloud-Assisted Industrial IoT Networks. IEEE Trans. Computers Haiyang Yu, Hui Zhang, Zhen Yang, Yuwen Chen, Huan Liu
2025	J	`jnl`	EssayCBM: Rubric-Aligned Concept Bottleneck Models for Transparent Essay Grading. CoRR Kumar Satvik Chaudhary, Chengshuai Zhao, Fan Zhang, Yung Hin Tse, Garima Agrawal, Yuli Deng, Huan Liu
2025	J	`jnl`	Evolutionary Multitasking Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling Problem With Deterioration Effect. IEEE Trans Autom. Sci. Eng. Huan Liu, Fuqing Zhao, Ling Wang, Tianpeng Xu, Chenxing Dong
2025	—	`conf`	Fediverse Sharing: Cross-Platform Interaction Dynamics Between Threads and Mastodon Users. ASONAM (3) Ujun Jeong, Alimohammad Beigi, Anique Tahir, Susan Xu Tang, H. Russell Bernard, Huan Liu
2025	J	`jnl`	FediverseSharing: A Novel Dataset on Cross-Platform Interaction Dynamics between Threads and Mastodon Users. CoRR Ujun Jeong, Alimohammad Beigi, Anique Tahir, Susan Xu Tang, H. Russell Bernard, Huan Liu
2025	A*	`conf`	From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. EMNLP Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu
2025	J	`jnl`	From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars? CoRR Dawei Li, Abdullah Alnaibari, Muhammad Arslan, Manny Sandoval, Deborah L. Hall, Yasin N. Silva, Huan Liu
2025	A	`conf`	Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era. CIKM Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu
2025	J	`jnl`	Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era. CoRR Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu
2025	A	`conf`	GraphRCG: Self-Conditioned Graph Generation. CIKM Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2025	A*	`conf`	HGMP: Heterogeneous Graph Multi-Task Prompt Learning. IJCAI Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025	J	`jnl`	HGMP:Heterogeneous Graph Multi-Task Prompt Learning. CoRR Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025	A*	`conf`	Heterogeneous Temporal Hypergraph Neural Network. IJCAI Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025	J	`jnl`	Heterogeneous Temporal Hypergraph Neural Network. CoRR Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025	—	`conf`	In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. ACL (1) Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister
2025	J	`jnl`	In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. CoRR Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister
2025	A*	`conf`	Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract). IJCAI Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2025	J	`jnl`	Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens. CoRR Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu
2025	J	`jnl`	Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment. CoRR Ali Senol, Garima Agrawal, Huan Liu
2025	J	`jnl`	Label Distribution Learning-Enhanced Dual-KNN for Text Classification. CoRR Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang
2025	J	`jnl`	Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm. CoRR Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2025	J	`jnl`	Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing. Swarm Evol. Comput. Mingfeng Fan, Huan Liu, Guohua Wu, Aldy Gunawan, Guillaume Sartoretti
2025	J	`jnl`	Navigating Decentralized Online Social Networks: An Overview of Technical and Societal Challenges in Architectural Choices. CoRR Ujun Jeong, Lynnette Hui Xian Ng, Kathleen M. Carley, Huan Liu
2025	A*	`conf`	ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks. AAAI Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin, Yao Zhao
2025	B	`conf`	Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education. IEEE Big Data Chengshuai Zhao, Garima Agrawal, Fan Zhang, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu
2025	J	`jnl`	Personalized Attacks of Social Engineering in Multi-turn Conversations - LLM Agents for Simulation and Detection. CoRR Tharindu Kumarage, Cameron Johnson, Jadie Adams, Lin Ai, Matthias Kirchner, Anthony Hoogs, Joshua Garland, Julia Hirschberg, Arslan Basharat, Huan Liu
2025	J	`jnl`	Preference Leakage: A Contamination Problem in LLM-as-a-judge. CoRR Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu
2025	J	`jnl`	RedditESS: A Mental Health Social Support Interaction Dataset - Understanding Effective Social Support to Refine AI-Driven Support Tools. CoRR Zeyad Alghamdi, Tharindu Kumarage, Garima Agrawal, Mansooreh Karami, Ibrahim Almuteb, Huan Liu
2025	—	`conf`	RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025	—	`conf`	RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. WWW (Companion Volume) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025	—	`conf`	Resource-Efficient Learning for the Web. WWW (Companion Volume) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025	—	`conf`	SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. ACL (1) Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu
2025	J	`jnl`	SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. CoRR Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu
2025	J	`jnl`	Sentiment and Social Signals in the Climate Crisis: A Survey on Analyzing Social Media Responses to Extreme Weather Events. CoRR Pouya Shaeri, Yasaman Mohammadpour, Alimohammad Beigi, Ariane Middel, Huan Liu
2025	J	`jnl`	Social Media for Mental Health: Data, Methods, and Findings. CoRR Nur Shazwani Kamarudin, Ghazaleh Beigi, Lydia Manikonda, Huan Liu
2025	B	`conf`	Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging. IEEE Big Data Lo Pang-Yun Ting, Ali Senol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang, Huan Liu
2025	A*	`conf`	Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. AAAI Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu
2025	A*	`conf`	VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling. IJCAI Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang
2025	J	`jnl`	Visual Large Language Models for Generalized and Specialized Applications. CoRR Yifan Li, Zhixin Lai, Wentao Bao, Zhen Tan, Anh Dao, Kewei Sui, Jiayi Shen, Dong Liu, Huan Liu, Yu Kong
2025	J	`jnl`	Who's Your Judge? On the Detectability of LLM-Generated Judgments. CoRR Dawei Li, Zhen Tan, Chengshuai Zhao, Bohan Jiang, Baixiang Huang, Pingchuan Ma, Abdullah Alnaibari, Kai Shu, Huan Liu
2025	—	`conf`	Window Token Concatenation for Efficient Visual Large Language Models. CVPR Workshops Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2025	J	`jnl`	Window Token Concatenation for Efficient Visual Large Language Models. CoRR Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2025	J	`jnl`	xScore: A Simple Metric for Cross-Domain Robustness in Lightweight Vision Models. Algorithms Weidong Zhang, Pak Lun Kevin Ding, Baoxin Li, Huan Liu
2024	J	`jnl`	"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024	J	`jnl`	(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning. ACM Trans. Spatial Algorithms Syst. Fahim Tasneema Azad, K. Selçuk Candan, Ahmet Kapkiç, Mao-Lin Li, Huan Liu, Pratanu Mandal, Paras Sheth, Bilgehan Arslan, Gerardo Chowell-Puente, John Sabo, Rebecca Muenich, Javier Redondo Anton, Maria Luisa Sapino
2024	J	`jnl`	A Generative Approach to Surrogate-based Black-box Attacks. CoRR Raha Moraffah, Huan Liu
2024	A*	`conf`	A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. KDD Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen
2024	J	`jnl`	A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. CoRR Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu
2024	J	`jnl`	Adaptive large neighborhood search algorithm with reinforcement search strategy for solving extended cooperative multi task assignment problem of UAVs. Inf. Sci. Yougang Xiao, Yuhan Li, Huan Liu, Yingguo Chen, Yalin Wang, Guohua Wu
2024	—	`conf`	Adversarial Text Purification: A Large Language Model Approach for Defense. PAKDD (5) Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
2024	J	`jnl`	Adversarial Text Purification: A Large Language Model Approach for Defense. CoRR Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
2024	J	`jnl`	Assessing the Impact of Conspiracy Theories Using Large Language Models. CoRR Bohan Jiang, Dawei Li, Zhen Tan, Xinyi Zhou, Ashwin Rao, Kristina Lerman, H. Russell Bernard, Huan Liu
2024	J	`jnl`	BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social. CoRR Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu
2024	J	`jnl`	C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. CoRR Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei
2024	—	`conf`	Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. NAACL-HLT Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu
2024	—	`conf`	Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models. CogMI Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu
2024	J	`jnl`	Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models. CoRR Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu
2024	J	`jnl`	Causal Feature Selection for Responsible Machine Learning. CoRR Raha Moraffah, Paras Sheth, Saketh Vishnubhatla, Huan Liu
2024	—	`conf`	Causal Inductive Biases for Cognitive Machine Learning. CogMI Saketh Vishnubhatla, Adrienne Raglin, Raha Moraffah, Huan Liu
2024	A	`conf`	Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. WSDM Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu
2024	—	`conf`	Contextualization Distillation from Large Language Model for Knowledge Graph Completion. EACL (Findings) Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu
2024	J	`jnl`	Contextualization Distillation from Large Language Model for Knowledge Graph Completion. CoRR Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu
2024	B	`conf`	Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. IEEE Big Data Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2024	J	`jnl`	Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. CoRR Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2024	A*	`conf`	CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs. AAAI Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Ying-Chih Chen
2024	—	`conf`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
2024	J	`jnl`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
2024	J	`jnl`	Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection. CoRR Chuangchuang Tan, Ping Liu, Renshuai Tao, Huan Liu, Yao Zhao, Baoyuan Wu, Yunchao Wei
2024	A*	`conf`	Defending Against Social Engineering Attacks in the Age of LLMs. EMNLP Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg
2024	J	`jnl`	Defending Against Social Engineering Attacks in the Age of LLMs. CoRR Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg
2024	A	`conf`	Disinformation Detection: An Evolving Challenge in the Age of LLMs. SDM Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu
2024	B	`conf`	Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering. IEEE Big Data Aryan Keluskar, Amrita Bhattacharjee, Huan Liu
2024	J	`jnl`	Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering. CoRR Aryan Keluskar, Amrita Bhattacharjee, Huan Liu
2024	J	`jnl`	EAGLE: A Domain Generalization Framework for AI-generated Text Detection. CoRR Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2024	J	`jnl`	EV-FL: Efficient Verifiable Federated Learning With Weighted Aggregation for Industrial IoT Networks. IEEE/ACM Trans. Netw. Haiyang Yu, Runtong Xu, Hui Zhang, Zhen Yang, Huan Liu
2024	J	`jnl`	Efficient Reinforcement Learning via Large Language Model-based Search. CoRR Siddhant Bhambri, Amrita Bhattacharjee, Huan Liu, Subbarao Kambhampati
2024	—	`conf`	Evaluating LLMs Capabilities Towards Understanding Social Dynamics. ASONAM (3) Anique Tahir, Lu Cheng, Manuel Sandoval, Yasin N. Silva, Deborah L. Hall, Huan Liu
2024	J	`jnl`	Evaluating LLMs Capabilities Towards Understanding Social Dynamics. CoRR Anique Tahir, Lu Cheng, Manuel Sandoval, Yasin N. Silva, Deborah L. Hall, Huan Liu
2024	—	`conf`	Exploiting Class Probabilities for Black-box Sentence-level Attacks. EACL (Findings) Bahman Moraffah, Huan Liu
2024	J	`jnl`	Exploiting Class Probabilities for Black-box Sentence-level Attacks. CoRR Raha Moraffah, Huan Liu
2024	J	`jnl`	Exploring Large Language Models for Feature Selection: A Data-centric Perspective. CoRR Dawei Li, Zhen Tan, Huan Liu
2024	J	`jnl`	Exploring Large Language Models for Feature Selection: A Data-centric Perspective. SIGKDD Explor. Dawei Li, Zhen Tan, Huan Liu
2024	A	`conf`	Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. ICWSM Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu
2024	—	`conf`	Facial Affective Behavior Analysis with Instruction Tuning. ECCV (18) Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2024	J	`jnl`	Facial Affective Behavior Analysis with Instruction Tuning. CoRR Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
2024	J	`jnl`	FairSkin: Fair Diffusion for Skin Disease Image Generation. CoRR Ruichen Zhang, Yuguang Yao, Zhen Tan, Zhiming Li, Pan Wang, Huan Liu, Jingtong Hu, Sijia Liu, Tianlong Chen
2024	J	`jnl`	From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. CoRR Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu
2024	J	`jnl`	Fusion learning of preference and bias from ratings and reviews for item recommendation. Data Knowl. Eng. Junrui Liu, Tong Li, Zhen Yang, Di Wu, Huan Liu
2024	J	`jnl`	Generalized few-shot node classification: toward an uncertainty-based solution. Knowl. Inf. Syst. Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
2024	A*	`conf`	Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024	J	`jnl`	GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2024	J	`jnl`	HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs. IEEE Trans. Big Data Huan Liu, Pengfei Jiao, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang
2024	—	`conf`	Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2024	A	`conf`	Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. CIKM Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan
2024	J	`jnl`	Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. CoRR Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan
2024	—	`conf`	JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning. ACL (3) Anique Tahir, Lu Cheng, Huan Liu
2024	J	`jnl`	JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning. CoRR Anique Tahir, Lu Cheng, Huan Liu
2024	J	`jnl`	LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking. CoRR Alimohammad Beigi, Bohan Jiang, Dawei Li, Tharindu Kumarage, Zhen Tan, Pouya Shaeri, Huan Liu
2024	A	`conf`	Label Distribution Learning-Enhanced Dual-KNN for Text Classification. SDM Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang
2024	A*	`conf`	Large Language Models for Data Annotation and Synthesis: A Survey. EMNLP Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024	J	`jnl`	Large Language Models for Data Annotation: A Survey. CoRR Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024	A	`conf`	MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. WACV Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang
2024	B	`conf`	Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. DSAA Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu
2024	J	`jnl`	Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. CoRR Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu
2024	—	`conf`	Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation. FLLM Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu
2024	J	`jnl`	Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation. CoRR Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu
2024	B	`conf`	Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. DSAA Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu
2024	J	`jnl`	Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. CoRR Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu
2024	J	`jnl`	ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks. CoRR Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin, Yao Zhao
2024	J	`jnl`	Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education. CoRR Chengshuai Zhao, Garima Agrawal, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu
2024	B	`conf`	Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. IEEE Big Data Yoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
2024	J	`jnl`	Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. CoRR Yoonhyuk Choi, Reepal Shah, John Sabo, K. Selcuk Candan, Huan Liu
2024	A*	`conf`	RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
2024	A*	`conf`	ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. SIGIR Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu
2024	J	`jnl`	ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. CoRR Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu
2024	A*	`conf`	Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection. CVPR Chuangchuang Tan, Huan Liu, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei
2024	J	`jnl`	Revisiting MLLMs: An In-Depth Analysis of Image Classification Abilities. CoRR Huan Liu, Lingyu Xiao, Jiangjiang Liu, Xiaofan Li, Ze Feng, Sen Yang, Jingdong Wang
2024	J	`jnl`	Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. ACM Trans. Knowl. Discov. Data Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
2024	—	`conf`	Robust Stance Detection: Understanding Public Perceptions in Social Media. ASONAM (2) Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
2024	A*	`conf`	Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. AAAI Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu
2024	B	`conf`	Spatio-temporal Causal Learning for Streamflow Forecasting. IEEE Big Data Shu Wan, Reepal Shah, Qi Deng, John Sabo, Huan Liu, K. Selçuk Candan
2024	J	`jnl`	Spatio-temporal Causal Learning for Streamflow Forecasting. CoRR Shu Wan, Reepal Shah, Qi Deng, John Sabo, Huan Liu, K. Selçuk Candan
2024	A*	`conf`	Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2024	J	`jnl`	The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu
2024	J	`jnl`	Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity. IEEE Trans. Neural Networks Learn. Syst. Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White
2024	J	`jnl`	Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales. CoRR Ayushi Nirmal, Amrita Bhattacharjee, Paras Sheth, Huan Liu
2024	J	`jnl`	Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach. CoRR Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu
2024	J	`jnl`	Uncertainty-Aware Critic Augmentation for Hierarchical Multi-Agent EV Charging Control. CoRR Lo Pang-Yun Ting, Ali Senol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang, Huan Liu
2024	A	`conf`	User Migration across Multiple Social Media Platforms. SDM Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu
2024	J	`jnl`	Zero-shot LLM-guided Counterfactual Generation for Text. CoRR Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2024	B	`conf`	Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation. IEEE Big Data Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2023	A	`conf`	A Two-tier Shared Embedding Method for Review-based Recommender Systems. CIKM Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang, Huan Liu
2023	—	`conf`	AISecKG: Knowledge Graph Dataset for Cybersecurity Education. AAAI Spring Symposium: MAKE Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral
2023	J	`jnl`	An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time. Appl. Intell. Huan Liu, Fuqing Zhao, Ling Wang, Jie Cao, Jianxin Tang, Jonrinaldi
2023	J	`jnl`	Auction-Based Learning for Question Answering over Knowledge Graphs. Inf. Garima Agrawal, Dimitri P. Bertsekas, Huan Liu
2023	J	`jnl`	Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. CoRR Garima Agrawal, Tharindu Kumarage, Zeyad Alghami, Huan Liu
2023	J	`jnl`	Causal Disentanglement for Implicit Recommendations with Network Information. ACM Trans. Knowl. Discov. Data Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan
2023	J	`jnl`	CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations. ACM Trans. Knowl. Discov. Data Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu
2023	J	`jnl`	Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. CoRR Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2023	—	`conf`	ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. IJCNLP (1) Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu
2023	J	`jnl`	ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. CoRR Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu
2023	A*	`conf`	Contrastive Meta-Learning for Few-shot Node Classification. KDD Song Wang, Zhen Tan, Huan Liu, Jundong Li
2023	J	`jnl`	Contrastive Meta-Learning for Few-shot Node Classification. CoRR Song Wang, Zhen Tan, Huan Liu, Jundong Li
2023	J	`jnl`	Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. IEEE Intell. Syst. Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu
2023	J	`jnl`	Detecting Harmful Agendas in News Articles. CoRR Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown
2023	J	`jnl`	Disinformation Detection: An Evolving Challenge in the Age of LLMs. CoRR Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu
2023	J	`jnl`	Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation. IEEE Trans. Netw. Sci. Eng. Zhen Yang, Ming Zhou, Haiyang Yu, Richard O. Sinnott, Huan Liu
2023	A*	`conf`	Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. AAAI Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
2023	J	`jnl`	Exploring Musical, Lyrical, and Network Dimensions of Music Sharing Among Depression Individuals. CoRR Qihan Wang, Anique Tahir, Zeyad Alghamdi, Huan Liu
2023	J	`jnl`	Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. CoRR Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu
2023	A	`conf`	Fairness through Aleatoric Uncertainty. CIKM Anique Tahir, Lu Cheng, Huan Liu
2023	J	`jnl`	Fairness through Aleatoric Uncertainty. CoRR Anique Tahir, Lu Cheng, Huan Liu
2023	J	`jnl`	Fast Secure Aggregation With High Dropout Resilience for Federated Learning. IEEE Trans. Green Commun. Netw. Shisong Yang, Yuwen Chen, Zhen Yang, Bowen Li, Huan Liu
2023	J	`jnl`	Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? CoRR Amrita Bhattacharjee, Huan Liu
2023	J	`jnl`	Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? SIGKDD Explor. Amrita Bhattacharjee, Huan Liu
2023	A	`conf`	GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
2023	—	`conf`	How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. EMNLP (Findings) Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
2023	J	`jnl`	How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. CoRR Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
2023	A*	`conf`	HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. SIGIR Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
2023	J	`jnl`	HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. CoRR Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
2023	—	`conf`	Inductive Linear Probing for Few-Shot Node Classification. SBP-BRiMS Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu
2023	J	`jnl`	Inductive Linear Probing for Few-shot Node Classification. CoRR Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu
2023	J	`jnl`	Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu
2023	—	`conf`	J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. IJCNLP (1) Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland
2023	J	`jnl`	J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. CoRR Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland
2023	J	`jnl`	LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? CoRR Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2023	A	`conf`	Learning Node Abnormality with Weak Supervision. CIKM Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong
2023	A*	`conf`	Learning Strong Graph Neural Networks with Weak Information. KDD Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2023	J	`jnl`	Learning Strong Graph Neural Networks with Weak Information. CoRR Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2023	J	`jnl`	Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction. Pattern Recognit. Yifan Lu, Mengzhou Gao, Huan Liu, Zehao Liu, Wei Yu, Xiaoming Li, Pengfei Jiao
2023	—	`conf`	Neural Authorship Attribution: Stylometric Analysis on Large Language Models. CyberC Tharindu Kumarage, Huan Liu
2023	J	`jnl`	Neural Authorship Attribution: Stylometric Analysis on Large Language Models. CoRR Tharindu Kumarage, Huan Liu
2023	—	`conf`	PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. ECML/PKDD (1) Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2023	J	`jnl`	PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework. CoRR Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2023	B	`conf`	Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. ASONAM Faisal Alatawi, Paras Sheth, Huan Liu
2023	J	`jnl`	Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. CoRR Faisal Alatawi, Paras Sheth, Huan Liu
2023	J	`jnl`	Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection. CoRR Chuangchuang Tan, Huan Liu, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei
2023	J	`jnl`	STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation. CoRR Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
2023	J	`jnl`	STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2023	A	`conf`	STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. CIKM Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
2023	—	`conf`	Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. ICDM (Workshops) Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu
2023	J	`jnl`	Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. CoRR Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu
2023	—	`book`	Socially Responsible AI - Theories and Practices Socially Responsible AI Lu Cheng, Huan Liu
2023	A*	`conf`	Socially Responsible Machine Learning: A Causal Perspective. KDD Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
2023	J	`jnl`	SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection. CoRR Ayushi Nirmal, Bohan Jiang, Huan Liu
2023	J	`jnl`	Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. CoRR Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu
2023	J	`jnl`	Stylometric Detection of AI-Generated Text in Twitter Timelines. CoRR Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu
2023	—	`conf`	Towards Detecting Harmful Agendas in News Articles. WASSA@ACL Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown
2023	J	`jnl`	UAV 3-D path planning based on MOEA/D with adaptive areal weight adjustment. CoRR Yougang Xiao, Hao Yang, Huan Liu, Keyu Wu, Guohua Wu
2023	J	`jnl`	UPREVE: An End-to-End Causal Discovery Benchmarking System. CoRR Suraj Jyothi Unni, Paras Sheth, Kaize Ding, Huan Liu, K. Selçuk Candan
2023	J	`jnl`	User Migration across Multiple Social Media Platforms. CoRR Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu
2023	J	`jnl`	VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization. CoRR Suraj Jyothi Unni, Raha Moraffah, Huan Liu
2023	A*	`conf`	Virtual Node Tuning for Few-shot Node Classification. KDD Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu
2023	J	`jnl`	Virtual Node Tuning for Few-shot Node Classification. CoRR Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu
2022	—	`conf`	"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation? ECML/PKDD (2) Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu
2022	A*	`conf`	"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. WWW Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani
2022	J	`jnl`	"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. CoRR Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani
2022	J	`jnl`	A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning. CoRR Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
2022	J	`jnl`	ACM WSDM 2022 report. SIGWEB Newsl. K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins
2022	A*	`conf`	Bias Mitigation for Toxicity Detection via Sequential Decisions. SIGIR Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu
2022	J	`jnl`	Blockchain-Based Offline Auditing for the Cloud in Vehicular Networks. IEEE Trans. Netw. Serv. Manag. Haiyang Yu, Zhen Yang, Shanshan Tu, Muhammad Waqas, Huan Liu
2022	J	`jnl`	Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education. Inf. Garima Agrawal, Yuli Deng, Jongchan Park, Huan Liu, Ying-Chih Chen
2022	B	`conf`	Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems. IEEE Big Data Paras Sheth, Ting Liu, Durmus Doner, Qi Deng, Yuhang Wei, Rebecca Muenich, John Sabo, K. Selçuk Candan, Huan Liu
2022	B	`conf`	Causal Disentanglement with Network Information for Debiased Recommendations. SISAP Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu
2022	J	`jnl`	Causal Disentanglement with Network Information for Debiased Recommendations. CoRR Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan
2022	A	`conf`	Causal Mediation Analysis with Hidden Confounders. WSDM Lu Cheng, Ruocheng Guo, Huan Liu
2022	J	`jnl`	Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo. CoRR Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu
2022	J	`jnl`	Characterizing multi-domain false news and underlying user effects on Chinese Weibo. Inf. Process. Manag. Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu
2022	—	`conf`	Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph. SBP-BRiMS Ujun Jeong, Zeyad Alghamdi, Kaize Ding, Lu Cheng, Baoxin Li, Huan Liu
2022	J	`jnl`	CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. CoRR Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu
2022	J	`jnl`	Collaborative Filtering With Network Representation Learning for Citation Recommendation. IEEE Trans. Big Data Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu
2022	J	`jnl`	Cross-Domain Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu
2022	J	`jnl`	Data Augmentation for Deep Graph Learning: A Survey. CoRR Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu
2022	J	`jnl`	Data Augmentation for Deep Graph Learning: A Survey. SIGKDD Explor. Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu
2022	B	`conf`	Debiasing Word Embeddings with Nonlinear Geometry. COLING Lu Cheng, Nayoung Kim, Huan Liu
2022	J	`jnl`	Debiasing Word Embeddings with Nonlinear Geometry. CoRR Lu Cheng, Nayoung Kim, Huan Liu
2022	J	`jnl`	Deep Graph Learning for Anomalous Citation Detection. CoRR Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
2022	J	`jnl`	Deep Graph Learning for Anomalous Citation Detection. IEEE Trans. Neural Networks Learn. Syst. Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
2022	B	`conf`	Distributional Shift Adaptation using Domain-Specific Features. IEEE Big Data Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu
2022	J	`jnl`	Distributional Shift Adaptation using Domain-Specific Features. CoRR Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu
2022	A*	`conf`	Domain Adaptive Fake News Detection via Reinforcement Learning. WWW Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu
2022	J	`jnl`	Domain Adaptive Fake News Detection via Reinforcement Learning. CoRR Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu
2022	J	`jnl`	Domain Generalization - A Causal Perspective. CoRR Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2022	J	`jnl`	Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations". Neurocomputing Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu
2022	A	`conf`	Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. ICWSM Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu
2022	A	`conf`	Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. WSDM Lu Cheng, Ruocheng Guo, Huan Liu
2022	J	`jnl`	Estimating Topic Exposure for Under-Represented Users on Social Media. CoRR Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
2022	J	`jnl`	Evaluation Methods and Measures for Causal Learning Algorithms. CoRR Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
2022	J	`jnl`	Evaluation Methods and Measures for Causal Learning Algorithms. IEEE Trans. Artif. Intell. Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
2022	B	`conf`	Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. IEEE Big Data Raha Moraffah, Paras Sheth, Huan Liu
2022	A*	`conf`	Few-Shot Learning on Graphs. IJCAI Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022	J	`jnl`	Few-Shot Learning on Graphs: A Survey. CoRR Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022	J	`jnl`	Foreword to the special issue on dis/misinformation mining from social media. Inf. Process. Manag. Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam
2022	J	`jnl`	GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
2022	A*	`conf`	Generalized Few-Shot Node Classification. ICDM Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
2022	A	`conf`	Graph Few-shot Class-incremental Learning. WSDM Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
2022	A	`conf`	Graph Minimally-supervised Learning. WSDM Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu
2022	J	`jnl`	Improving Vaccine Stance Detection by Combining Online and Offline Data. CoRR Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu
2022	J	`jnl`	Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. Neuroinformatics Wen Zhang, B. Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
2022	J	`jnl`	Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands. IEEE Internet Things J. Qianru Wang, Bin Guo, Yi Ouyang, Lu Cheng, Liang Wang, Zhiwen Yu, Huan Liu
2022	J	`jnl`	Learning with Few Labeled Nodes via Augmented Graph Self-Training. CoRR Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White
2022	A*	`conf`	Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. AAAI Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
2022	B	`conf`	Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. IEEE Big Data Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2022	J	`jnl`	Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. CoRR Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2022	—	`conf`	PPSL: Privacy-Preserving Text Classification for Split Learning. ICDIS Walaa Alnasser, Ghazaleh Beigi, Ahmadreza Mosallanezhad, Huan Liu
2022	—	`conf`	Physics-Informed Graph Learning. ICDM (Workshops) Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu
2022	J	`jnl`	Physics-Informed Graph Learning: A Survey. CoRR Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu
2022	—	`conf`	Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	A*	`conf`	Query-Efficient Target-Agnostic Black-Box Attack. ICDM Raha Moraffah, Huan Liu
2022	B	`conf`	STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. IEEE Big Data Paras Sheth, Reepal Shah, John Sabo, K. Selçuk Candan, Huan Liu
2022	J	`jnl`	Social Bots and Their Coordination During Online Campaigns: A Survey. IEEE Trans. Comput. Soc. Syst. Tuja Khaund, Baris Kirdemir, Nitin Agarwal, Huan Liu, Fred Morstatter
2022	J	`jnl`	Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning. CoRR Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
2022	—	`conf`	Supervised Graph Contrastive Learning for Few-Shot Node Classification. ECML/PKDD (2) Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
2022	A*	`conf`	Text Transformations in Contrastive Self-Supervised Learning: A Review. IJCAI Amrita Bhattacharjee, Mansooreh Karami, Huan Liu
2022	J	`jnl`	Text Transformations in Contrastive Self-Supervised Learning: A Review. CoRR Amrita Bhattacharjee, Mansooreh Karami, Huan Liu
2022	A*	`conf`	The KDD 2022 Workshop on Causal Discovery (CD2022). KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	—	`ed.`	The KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA CD@KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	A*	`conf`	Toward Graph Minimally-Supervised Learning. KDD Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu
2022	J	`jnl`	Toward Understanding Bias Correlations for Mitigation in NLP. CoRR Lu Cheng, Suyu Ge, Huan Liu
2022	—	`conf`	Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu
2022	J	`jnl`	Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu
2022	J	`jnl`	Trustworthy Recommender Systems. CoRR Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci
2022	A	`ed.`	WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 WSDM K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang
2021	J	`jnl`	"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis. CoRR Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu
2021	A*	`conf`	A Comparative Survey: Benchmarking for Pool-based Active Learning. IJCAI Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan
2021	J	`jnl`	A Survey of Learning Causality with Data: Problems and Methods. ACM Comput. Surv. Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
2021	J	`jnl`	A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation. CoRR Faisal Alatawi, Lu Cheng, Anique Tahir, Mansooreh Karami, Bohan Jiang, Tyler Black, Huan Liu
2021	J	`jnl`	Adversarial Attacks and Defenses: An Interpretation Perspective. SIGKDD Explor. Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu
2021	J	`jnl`	Causal Inference for Time series Analysis: Problems, Methods and Evaluation. CoRR Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
2021	A*	`conf`	Causal Learning for Socially Responsible AI. IJCAI Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
2021	J	`jnl`	Causal Learning for Socially Responsible AI. CoRR Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
2021	J	`jnl`	Causal Mediation Analysis with Hidden Confounders. CoRR Lu Cheng, Ruocheng Guo, Huan Liu
2021	A*	`conf`	Causal Understanding of Fake News Dissemination on Social Media. KDD Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2021	J	`jnl`	Causal inference for time series analysis: problems, methods and evaluation. Knowl. Inf. Syst. Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
2021	A	`conf`	CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. CIKM Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan
2021	—	`ed.`	Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers CONSTRAINT@AAAI Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md. Shad Akhtar
2021	J	`jnl`	Detecting Fake News With Weak Social Supervision. IEEE Intell. Syst. Kai Shu, Susan T. Dumais, Ahmed Hassan Awadallah, Huan Liu
2021	J	`jnl`	Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. CoRR Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu
2021	J	`jnl`	Efficient Continuous Big Data Integrity Checking for Decentralized Storage. IEEE Trans. Netw. Sci. Eng. Haiyang Yu, Qi Hu, Zhen Yang, Huan Liu
2021	J	`jnl`	Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. CoRR Lu Cheng, Ruocheng Guo, Huan Liu
2021	J	`jnl`	FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements. CoRR Ujun Jeong, Kaize Ding, Huan Liu
2021	A*	`conf`	Fact-Enhanced Synthetic News Generation. AAAI Kai Shu, Yichuan Li, Kaize Ding, Huan Liu
2021	A*	`conf`	Few-shot Network Anomaly Detection via Cross-network Meta-learning. WWW Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu
2021	J	`jnl`	Few-shot Network Anomaly Detection via Cross-network Meta-learning. CoRR Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu
2021	—	`conf`	Generating Topic-Preserving Synthetic News. IEEE BigData Ahmadreza Mosallanezhad, Kai Shu, Huan Liu
2021	J	`jnl`	Graph Few-shot Class-incremental Learning. CoRR Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
2021	J	`jnl`	Graph Learning: A Survey. CoRR Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu
2021	J	`jnl`	Graph Learning: A Survey. IEEE Trans. Artif. Intell. Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu
2021	J	`jnl`	Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen
2021	J	`jnl`	Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu
2021	J	`jnl`	Guest Editorial: Scholarly Big Data. IEEE Trans. Emerg. Top. Comput. Feng Xia, C. Lee Giles, Huan Liu, Kuansan Wang
2021	A*	`conf`	Improving Cyberbullying Detection with User Interaction. WWW Suyu Ge, Lu Cheng, Huan Liu
2021	J	`jnl`	Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong
2021	J	`jnl`	Inroduction on Recent Trends and Perspectives in Fake News Research. DTRAP Reza Zafarani, Huan Liu, Vir V. Phoha, Javad Azimi
2021	—	`conf`	Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. EMNLP (1) Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu
2021	J	`jnl`	Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. CoRR Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu
2021	A	`conf`	Long-Term Effect Estimation with Surrogate Representation. WSDM Lu Cheng, Ruocheng Guo, Huan Liu
2021	J	`jnl`	Mechanisms and Attributes of Echo Chambers in Social Media. CoRR Bohan Jiang, Mansooreh Karami, Lu Cheng, Tyler Black, Huan Liu
2021	J	`jnl`	Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. CoRR Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
2021	—	`conf`	Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach. ACL/IJCNLP (1) Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu
2021	J	`jnl`	Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks. Trans. Data Sci. Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu
2021	—	`conf`	Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021	—	`conf`	Privacy Preserving Text Representation Learning Using BERT. SBP-BRiMS Walaa Alnasser, Ghazaleh Beigi, Huan Liu
2021	—	`conf`	Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors. HT Mansooreh Karami, Tahora H. Nazer, Huan Liu
2021	J	`jnl`	Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors. CoRR Mansooreh Karami, Tahora H. Nazer, Huan Liu
2021	J	`jnl`	Session-Based Cyberbullying Detection: Problems and Challenges. IEEE Internet Comput. Lu Cheng, Yasin N. Silva, Deborah L. Hall, Huan Liu
2021	J	`jnl`	Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. CoRR Lu Cheng, Kush R. Varshney, Huan Liu
2021	J	`jnl`	Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. J. Artif. Intell. Res. Lu Cheng, Kush R. Varshney, Huan Liu
2021	A*	`conf`	The KDD 2021 Workshop on Causal Discovery (CD2021). KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021	—	`ed.`	The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021. CD@KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021	J	`jnl`	To Your Surprise: Identifying Serendipitous Collaborators. IEEE Trans. Big Data Liangtian Wan, Yuyuan Yuan, Feng Xia, Huan Liu
2021	A	`conf`	Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning. CIKM Kaize Ding, Xuan Shan, Huan Liu
2021	J	`jnl`	Weakly-supervised Graph Meta-learning for Few-shot Node Classification. CoRR Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
2020	J	`jnl`	A Survey on Privacy in Social Media: Identification, Mitigation, and Applications. Trans. Data Sci. Ghazaleh Beigi, Huan Liu
2020	J	`jnl`	An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy. CoRR Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan
2020	—	`conf`	Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. EMNLP (1) Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
2020	J	`jnl`	Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. CoRR Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
2020	J	`jnl`	CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. CoRR Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu
2020	J	`jnl`	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. CoRR Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
2020	J	`jnl`	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
2020	—	`conf`	Causality and Uncertainty of Information for Content Understanding. CogMI Adrienne Raglin, Raha Moraffah, Huan Liu
2020	—	`conf`	Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CIKM (Workshops) Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu
2020	J	`jnl`	Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CoRR Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu
2020	J	`jnl`	Combating Disinformation in a Social Media Age. CoRR Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu
2020	J	`jnl`	Combating disinformation in a social media age. WIREs Data Mining Knowl. Discov. Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu
2020	A	`conf`	Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. SDM Ruocheng Guo, Jundong Li, Huan Liu
2020	A*	`conf`	Debiasing Grid-based Product Search in E-commerce. KDD Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu
2020	J	`jnl`	Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges. CoRR Amrita Bhattacharjee, Kai Shu, Min Gao, Huan Liu
2020	—	`conf`	Early Detection of Fake News with Multi-source Weak Social Supervision. ECML/PKDD (3) Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu
2020	—	`conf`	Early Detection of Rumours on Twitter via Stance Transfer Learning. ECIR (1) Lin Tian, Xiuzhen Zhang, Yan Wang, Huan Liu
2020	J	`jnl`	Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery. Frontiers Big Data Naoki Abe, Huan Liu, Kuansan Wang
2020	J	`jnl`	Fact-Enhanced Synthetic News Generation. CoRR Kai Shu, Yichuan Li, Kaize Ding, Huan Liu
2020	J	`jnl`	FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
2020	J	`jnl`	Feature selection for hierarchical classification via joint semantic and structural information of labels. Knowl. Based Syst. Hai Huang, Huan Liu
2020	A	`conf`	Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020	J	`jnl`	Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020	A	`conf`	Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. ICWSM Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu
2020	A*	`conf`	IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. IJCAI Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2020	J	`jnl`	Improving Cyberbully Detection with User Interaction. CoRR Suyu Ge, Lu Cheng, Huan Liu
2020	A*	`conf`	Inductive Anomaly Detection on Attributed Networks. IJCAI Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu
2020	—	`conf`	Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection. WebSci Kai Shu, Liangda Li, Suhang Wang, Yunhong Zhou, Huan Liu
2020	J	`jnl`	Joint Spatial and Temporal Modeling for Hydrological Prediction. IEEE Access Qun Zhao, Yuelong Zhu, Kai Shu, Dingsheng Wan, Yufeng Yu, Xudong Zhou, Huan Liu
2020	A	`conf`	Learning Individual Causal Effects from Networked Observational Data. WSDM Ruocheng Guo, Jundong Li, Huan Liu
2020	—	`conf`	Learning Latent Perception Graphs for Personalized Unknowns Recommendation. CogMI Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, Huan Liu
2020	J	`jnl`	Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News. CoRR Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu
2020	J	`jnl`	Long-Term Effect Estimation with Surrogate Representation. CoRR Lu Cheng, Ruocheng Guo, Huan Liu
2020	J	`jnl`	MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation. CoRR Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu
2020	J	`jnl`	Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. CoRR Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
2020	A*	`conf`	Next-item Recommendation with Sequential Hypergraphs. SIGIR Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee
2020	A	`conf`	Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. WSDM Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu
2020	A	`conf`	Representation Learning for Imbalanced Cross-Domain Classification. SDM Lu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu
2020	J	`jnl`	Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis. CoRR Ghazaleh Beigi, Jiliang Tang, Huan Liu
2020	J	`jnl`	Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis. ACM Trans. Intell. Syst. Technol. Ghazaleh Beigi, Jiliang Tang, Huan Liu
2020	—	`conf`	Spatial Community-Informed Evolving Graphs for Demand Prediction. ECML/PKDD (5) Qianru Wang, Bin Guo, Yi Ouyang, Kai Shu, Zhiwen Yu, Huan Liu
2020	A	`conf`	The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media. CIKM Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam
2020	J	`jnl`	Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach. CoRR Ahmadreza Mosallanezhad, Kai Shu, Huan Liu
2020	—	`conf`	Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation. IEEE BigData Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu
2020	J	`jnl`	Toward Privacy and Utility Preserving Image Representation. CoRR Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido, Huan Liu
2020	J	`jnl`	Towards Causal Understanding of Fake News Dissemination. CoRR Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2020	A*	`conf`	Tracking Disaster Footprints with Social Streaming Data. AAAI Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu
2020	A	`conf`	Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. CIKM Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
2020	J	`jnl`	Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. CoRR Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019	J	`jnl`	"Identifying novel privacy issues of online users on social media platforms" by Ghazaleh Beigi and Huan Liu with Martin Vesely as coordinator. SIGWEB Newsl. Ghazaleh Beigi, Huan Liu
2019	A	`conf`	#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. CIKM Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu
2019	B	`conf`	5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines. ASONAM Thai Le, Kai Shu, Maria D. Molina, Dongwon Lee, S. Shyam Sundar, Huan Liu
2019	—	`conf`	A Novel Symbolic Aggregate Approximation for Time Series. IMCOM Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Huan Liu, Qun Zhao
2019	J	`jnl`	A Novel Trend Symbolic Aggregate Approximation for Time Series. CoRR Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Huan Liu
2019	—	`conf`	A Practical Data Repository for Causal Learning with Big Data. Bench Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2019	—	`conf`	Abductive Causal Reasoning for Internet of Things. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Adrienne Raglin, Anshuman Venkateswaran, Huan Liu
2019	J	`jnl`	Academic Team Formulation Based on Liebig's Barrel: Discovery of Anticask Effect. IEEE Trans. Comput. Soc. Syst. Shuo Yu, Feng Xia, Huan Liu
2019	A*	`conf`	Adaptive Unsupervised Feature Selection on Attributed Networks. KDD Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu
2019	J	`jnl`	Applications of Social Media in Hydroinformatics: A Survey. CoRR Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Kai Shu, Huan Liu
2019	A	`conf`	Beyond News Contents: The Role of Social Context for Fake News Detection. WSDM Kai Shu, Suhang Wang, Huan Liu
2019	A	`conf`	Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. CIKM Suhang Wang, Charu C. Aggarwal, Huan Liu
2019	A	`conf`	BigScholar 2019: The 6th Workshop on Big Scholarly Data. CIKM Feng Xia, Huan Liu, Irwin King, Kuansan Wang
2019	—	`conf`	Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration? SBP-BRiMS Tahora H. Nazer, Matthew Davis, Mansooreh Karami, Leman Akoglu, David Koelle, Huan Liu
2019	—	`conf`	Causal Learning in Question Quality Improvement. Bench Yichuan Li, Ruocheng Guo, Weiying Wang, Huan Liu
2019	J	`jnl`	Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. CoRR Ruocheng Guo, Jundong Li, Huan Liu
2019	—	`conf`	Debunking Rumors in Social Networks: A Timely Approach. WebSci Liang Wu, Huan Liu
2019	A	`conf`	Deep Anomaly Detection on Attributed Networks. SDM Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu
2019	—	`conf`	Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference. EMNLP/IJCNLP (1) Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu
2019	J	`jnl`	Deep causal representation learning for unsupervised domain adaptation. CoRR Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu
2019	—	`book`	Detecting Fake News on Social Media Kai Shu, Huan Liu
2019	J	`jnl`	Detecting Fake News with Weak Social Supervision. CoRR Kai Shu, Ahmed Hassan Awadallah, Susan T. Dumais, Huan Liu
2019	—	`conf`	Exploiting Emojis for Sarcasm Detection. SBP-BRiMS Jayashree Subramanian, Varun Sridharan, Kai Shu, Huan Liu
2019	A*	`conf`	Fake News Research: Theories, Detection Strategies, and Open Problems. KDD Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu
2019	A	`conf`	Fake News: Fundamental Theories, Detection Strategies and Challenges. WSDM Xinyi Zhou, Reza Zafarani, Kai Shu, Huan Liu
2019	—	`ch.`	Feature Learning from Social Graphs. Encyclopedia of Big Data Technologies Vineeth Rakesh, Lei Tang, Huan Liu
2019	J	`jnl`	Graph Neural Networks for User Identity Linkage. CoRR Wen Zhang, Kai Shu, Huan Liu, Yalin Wang
2019	J	`jnl`	Graph Neural Networks with High-order Feature Interactions. CoRR Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu
2019	A	`conf`	Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network. SDM Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019	J	`jnl`	Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. CoRR Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu
2019	J	`jnl`	I Am Not What I Write: Privacy Preserving Text Representation Learning. CoRR Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu
2019	A*	`conf`	InterSpot: Interactive Spammer Detection in Social Media. IJCAI Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu
2019	A	`conf`	Interactive Anomaly Detection on Attributed Networks. WSDM Kaize Ding, Jundong Li, Huan Liu
2019	A*	`conf`	Learning From Networks: Algorithms, Theory, and Applications. KDD Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019	J	`jnl`	Learning Individual Treatment Effects from Networked Observational Data. CoRR Ruocheng Guo, Jundong Li, Huan Liu
2019	A	`conf`	Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. WSDM Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu
2019	J	`jnl`	Misinformation in Social Media: Definition, Manipulation, and Detection. SIGKDD Explor. Liang Wu, Fred Morstatter, Kathleen M. Carley, Huan Liu
2019	B	`conf`	Multi-level network embedding with boosted low-rank matrix approximation. ASONAM Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu
2019	A*	`conf`	PI-Bully: Personalized Cyberbullying Detection with Peer Influence. IJCAI Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019	—	`conf`	Privacy Preserving Text Representation Learning. HT Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu
2019	J	`jnl`	Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. CoRR Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu
2019	A	`conf`	Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. WSDM Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu
2019	—	`conf`	Robust Cyberbullying Detection with Causal Interpretation. WWW (Companion Volume) Lu Cheng, Ruocheng Guo, Huan Liu
2019	—	`conf`	Signed Link Prediction with Sparse Data: The Role of Personality Information. WWW (Companion Volume) Ghazaleh Beigi, Suhas Ranganath, Huan Liu
2019	J	`jnl`	Signed Link Prediction with Sparse Data: The Role of Personality Information. CoRR Ghazaleh Beigi, Suhas Ranganath, Huan Liu
2019	—	`conf`	Smart CCR IoT: Internet of Things Testbed. CIC Adrienne Jeanisha Raglin, Dijiang Huang, Huan Liu, James McCabe
2019	J	`jnl`	The Role of User Profile for Fake News Detection. CoRR Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
2019	B	`conf`	The role of user profiles for fake news detection. ASONAM Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
2019	J	`jnl`	Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network. IEEE Trans. Veh. Technol. Zhen Yang, Haiyang Yu, Jiliang Tang, Huan Liu
2019	J	`jnl`	Towards privacy preserving social recommendation under personalized privacy settings. World Wide Web Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2019	A*	`conf`	Unsupervised Fake News Detection on Social Media: A Generative Approach. AAAI Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu
2019	A	`conf`	XBully: Cyberbullying Detection within a Multi-Modal Context. WSDM Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019	A	`conf`	dEFEND: A System for Explainable Fake News Detection. CIKM Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
2019	A*	`conf`	dEFEND: Explainable Fake News Detection. KDD Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu
2018	A	`conf`	"Bridge": Enhanced Signed Directed Network Embedding. CIKM Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun
2018	—	`conf`	#metoo Through the Lens of Social Media. SBP-BRiMS Lydia Manikonda, Ghazaleh Beigi, Subbarao Kambhampati, Huan Liu
2018	B	`conf`	A Study of Reddit-User's Response to Rape. ASONAM Nur Shazwani Kamarudin, Vineeth Rakesh, Ghazaleh Beigi, Lydia Manikonda, Huan Liu
2018	J	`jnl`	A Survey of Learning Causality with Data: Problems and Methods. CoRR Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
2018	A*	`conf`	ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. IJCAI Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
2018	A	`conf`	Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
2018	J	`jnl`	Cloud Information Retrieval: Model Description and Scheme Design. IEEE Access Zhen Yang, Jiliang Tang, Huan Liu
2018	—	`ch.`	Cross-Validation. Encyclopedia of Database Systems (2nd ed.) Payam Refaeilzadeh, Lei Tang, Huan Liu
2018	A	`conf`	CrossFire: Cross Media Joint Friend and Item Recommendations. WSDM Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2018	A*	`conf`	Deep Headline Generation for Clickbait Detection. ICDM Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu
2018	—	`ch.`	Detecting Crowdturfing in Social Media. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Liang Wu, Huan Liu
2018	A*	`conf`	Exploiting Emotion on Reviews for Recommender Systems. AAAI Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang
2018	J	`jnl`	Exploiting Multilabel Information for Noise-Resilient Feature Selection. ACM Trans. Intell. Syst. Technol. Ling Jian, Jundong Li, Huan Liu
2018	B	`conf`	Exploiting User Actions for App Recommendations. ASONAM Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo
2018	J	`jnl`	Exploring Hierarchical Structures for Recommender Systems. IEEE Trans. Knowl. Data Eng. Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2018	J	`jnl`	FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. CoRR Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
2018	J	`jnl`	Feature Selection: A Data Perspective. ACM Comput. Surv. Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2018	—	`ed.`	IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018 IEEE BigData Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz
2018	A*	`conf`	INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process. IJCAI Ruocheng Guo, Jundong Li, Huan Liu
2018	J	`jnl`	Identifying Framing Bias in Online News. ACM Trans. Soc. Comput. Fred Morstatter, Liang Wu, Uraz Yavanoglu, Steven R. Corman, Huan Liu
2018	A*	`conf`	Interactive Unknowns Recommendation in E-Learning Systems. ICDM Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu
2018	A*	`conf`	Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. KDD Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2018	J	`jnl`	Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. CoRR Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2018	A	`conf`	Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests. WSDM Suhas Ranganath, Ghazaleh Beigi, Huan Liu
2018	A	`conf`	Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CIKM Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
2018	J	`jnl`	Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CoRR Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
2018	A	`conf`	Multi-Layered Network Embedding. SDM Jundong Li, Chen Chen, Hanghang Tong, Huan Liu
2018	J	`jnl`	Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation. CoRR Jundong Li, Liang Wu, Huan Liu
2018	—	`conf`	Multimodal Fusion of Brain Networks with Longitudinal Couplings. MICCAI (3) Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
2018	J	`jnl`	Online Newton Step Algorithm with Estimated Gradient. CoRR Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu
2018	A*	`conf`	Personalized Privacy-Preserving Social Recommendation. AAAI Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2018	J	`jnl`	Privacy in Social Media: Identification, Mitigation and Applications. CoRR Ghazaleh Beigi, Huan Liu
2018	J	`jnl`	Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. CoRR Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu
2018	J	`jnl`	Random-Forest-Inspired Neural Networks. ACM Trans. Intell. Syst. Technol. Suhang Wang, Charu C. Aggarwal, Huan Liu
2018	J	`jnl`	Securing Social Media User Data - An Adversarial Approach. CoRR Ghazaleh Beigi, Kai Shu, Yanchao Zhang, Huan Liu
2018	—	`conf`	Securing Social Media User Data: An Adversarial Approach. HT Ghazaleh Beigi, Kai Shu, Yanchao Zhang, Huan Liu
2018	—	`conf`	Similar but Different: Exploiting Users' Congruity for Recommendation Systems. SBP-BRiMS Ghazaleh Beigi, Huan Liu
2018	J	`jnl`	Similar but Different: Exploiting Users' Congruity for Recommendation Systems. CoRR Ghazaleh Beigi, Huan Liu
2018	J	`jnl`	SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification. Lang. Resour. Evaluation Liang Wu, Fred Morstatter, Huan Liu
2018	—	`conf`	Social Cyber-Security. SBP-BRiMS Kathleen M. Carley, Guido Cervone, Nitin Agarwal, Huan Liu
2018	—	`ch.`	Social Provenance. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Zhuo Feng, Pritam Gundecha, Huan Liu
2018	A*	`conf`	Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu
2018	A	`conf`	Streaming Link Prediction on Dynamic Attributed Networks. WSDM Jundong Li, Kewei Cheng, Liang Wu, Huan Liu
2018	J	`jnl`	Studying Fake News via Network Analysis: Detection and Mitigation. CoRR Kai Shu, H. Russell Bernard, Huan Liu
2018	—	`ch.`	Time- and Event-Driven Modeling of Blogger Influence. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Nitin Agarwal, Huan Liu
2018	A	`conf`	Toward Relational Learning with Misinformation. SDM Liang Wu, Jundong Li, Fred Morstatter, Huan Liu
2018	J	`jnl`	Toward online node classification on streaming networks. Data Min. Knowl. Discov. Ling Jian, Jundong Li, Huan Liu
2018	A	`conf`	Towards Explainable Networked Prediction. CIKM Liangyue Li, Hanghang Tong, Huan Liu
2018	A	`conf`	Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate. WSDM Liang Wu, Huan Liu
2018	—	`ch.`	Trust in Blogosphere. Encyclopedia of Database Systems (2nd ed.) Nitin Agarwal, Huan Liu
2018	A*	`conf`	Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. SIGIR Liang Wu, Diane Hu, Liangjie Hong, Huan Liu
2018	J	`jnl`	Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media. CoRR Lydia Manikonda, Ghazaleh Beigi, Huan Liu, Subbarao Kambhampati
2018	—	`conf`	Understanding Cyber Attack Behaviors with Sentiment Information on Social Media. SBP-BRiMS Kai Shu, Amy Sliva, Justin Sampson, Huan Liu
2018	—	`conf`	Understanding User Profiles on Social Media for Fake News Detection. MIPR Kai Shu, Suhang Wang, Huan Liu
2018	J	`jnl`	Understanding and Identifying Rhetorical Questions in Social Media. ACM Trans. Intell. Syst. Technol. Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2018	A*	`conf`	Understanding and Predicting Delay in Reciprocal Relations. WWW Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2018	A*	`conf`	Unsupervised Personalized Feature Selection. AAAI Jundong Li, Liang Wu, Harsh Dani, Huan Liu
2017	A	`conf`	Adaptive Spammer Detection with Sparse Group Modeling. ICWSM Liang Wu, Xia Hu, Fred Morstatter, Huan Liu
2017	A	`conf`	Attributed Network Embedding for Learning in a Dynamic Environment. CIKM Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017	J	`jnl`	Attributed Network Embedding for Learning in a Dynamic Environment. CoRR Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017	A	`conf`	Attributed Signed Network Embedding. CIKM Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu
2017	J	`jnl`	Big Scholarly Data: A Survey. IEEE Trans. Big Data Feng Xia, Wei Wang, Teshome Megersa Bekele, Huan Liu
2017	A*	`conf`	CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li
2017	J	`jnl`	Challenges of Feature Selection for Big Data Analytics. IEEE Intell. Syst. Jundong Li, Huan Liu
2017	C	`conf`	Collaborative Filtering via Different Preference Structures. KSEM Shaowu Liu, Na Pang, Guandong Xu, Huan Liu
2017	J	`jnl`	Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications. CoRR Fred Morstatter, Kai Shu, Suhang Wang, Huan Liu
2017	A	`conf`	Detecting Camouflaged Content Polluters. ICWSM Liang Wu, Xia Hu, Fred Morstatter, Huan Liu
2017	J	`jnl`	Discovering, assessing, and mitigating data bias in social media. Online Soc. Networks Media Fred Morstatter, Huan Liu
2017	A	`conf`	Early Identification of Personalized Trending Topics in Microblogging. ICWSM Liang Wu, Xia Hu, Huan Liu
2017	A	`conf`	Exploiting Hierarchical Structures for Unsupervised Feature Selection. SDM Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu
2017	J	`jnl`	Exploiting Tri-Relationship for Fake News Detection. CoRR Kai Shu, Suhang Wang, Huan Liu
2017	J	`jnl`	Facilitating Time Critical Information Seeking in Social Media. IEEE Trans. Knowl. Data Eng. Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2017	J	`jnl`	Fake News Detection on Social Media: A Data Mining Perspective. CoRR Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017	J	`jnl`	Fake News Detection on Social Media: A Data Mining Perspective. SIGKDD Explor. Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017	—	`ch.`	Feature Selection. Encyclopedia of Machine Learning and Data Mining Suhang Wang, Jiliang Tang, Huan Liu
2017	A	`conf`	Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media. SDM Liang Wu, Jundong Li, Xia Hu, Huan Liu
2017	J	`jnl`	Heroes and Zeroes: Predicting the Impact of New Video Games on Twitch.tv. CoRR Isaac Jones, Huan Liu
2017	J	`jnl`	In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics. J. Mach. Learn. Res. Fred Morstatter, Huan Liu
2017	J	`jnl`	Intelligent Disaster Response via Social Media Analysis - A Survey. CoRR Tahora H. Nazer, Guoliang Xue, Yusheng Ji, Huan Liu
2017	J	`jnl`	Intelligent Disaster Response via Social Media Analysis A Survey. SIGKDD Explor. Tahora H. Nazer, Guoliang Xue, Yusheng Ji, Huan Liu
2017	A*	`conf`	Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. IJCAI Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2017	J	`jnl`	Legislative prediction with dual uncertainty minimization from heterogeneous information. Stat. Anal. Data Min. Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary
2017	J	`jnl`	NeuroRule: A Connectionist Approach to Data Mining. CoRR Hongjun Lu, Rudy Setiono, Huan Liu
2017	A*	`conf`	Radar: Residual Analysis for Anomaly Detection in Attributed Networks. IJCAI Jundong Li, Harsh Dani, Xia Hu, Huan Liu
2017	A*	`conf`	Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. KDD Suhang Wang, Charu C. Aggarwal, Huan Liu
2017	J	`jnl`	Recent advances in feature selection and its applications. Knowl. Inf. Syst. Yun Li, Tao Li, Huan Liu
2017	A*	`conf`	Reconstruction-based Unsupervised Feature Selection: An Embedded Approach. IJCAI Jundong Li, Jiliang Tang, Huan Liu
2017	—	`conf`	Sentiment Informed Cyberbullying Detection in Social Media. ECML/PKDD (1) Harsh Dani, Jundong Li, Huan Liu
2017	A	`conf`	Signed Network Embedding in Social Media. SDM Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu
2017	—	`ed.`	Social Media Processing - 6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings SMP Xueqi Cheng, Wei-Ying Ma, Huan Liu, Huawei Shen, Shizheng Feng, Xing Xie
2017	—	`ch.`	Time-Aware Personalized Location Recommendation. Encyclopedia of GIS Huiji Gao, Huan Liu
2017	A	`conf`	Toward Personalized Relational Learning. SDM Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu
2017	J	`jnl`	Understanding and Predicting Delay in Reciprocal Relations. CoRR Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2017	A*	`conf`	Unsupervised Feature Selection in Signed Social Networks. KDD Kewei Cheng, Jundong Li, Huan Liu
2017	A*	`conf`	Unsupervised Sentiment Analysis with Signed Social Networks. AAAI Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
2017	A	`conf`	Using a Random Forest to Inspire a Neural Network and Improving on It. SDM Suhang Wang, Charu C. Aggarwal, Huan Liu
2017	A*	`conf`	What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. WWW Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu
2016	—	`conf`	A Novel Measure for Coherence in Statistical Topic Models. ACL (2) Fred Morstatter, Huan Liu
2016	J	`jnl`	A Survey of Signed Network Mining in Social Media. ACM Comput. Surv. Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu
2016	B	`conf`	A new approach to bot detection: Striking the balance between precision and recall. ASONAM Fred Morstatter, Liang Wu, Tahora H. Nazer, Kathleen M. Carley, Huan Liu
2016	—	`ch.`	An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief. Sentiment Analysis and Ontology Engineering Ghazaleh Beigi, Xia Hu, Ross Maciejewski, Huan Liu
2016	—	`conf`	Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content. WWW (Companion Volume) Fred Morstatter, Harsh Dani, Justin Sampson, Huan Liu
2016	J	`jnl`	Challenges of Feature Selection for Big Data Analytics. CoRR Jundong Li, Huan Liu
2016	A	`conf`	Community Cores: Removing Size Bias from Community Detection. ICWSM Isaac Jones, Ran Wang, Jiawei Han, Huan Liu
2016	A	`conf`	Exploiting Emotional Information for Trust/Distrust Prediction. SDM Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu
2016	A	`conf`	Exploring Personal Attributes from Unprotected Interactions. ICWSM Pritam Gundecha, Jiliang Tang, Xia Hu, Huan Liu
2016	J	`jnl`	Exploring characteristics of suspended users and network stability on Twitter. Soc. Netw. Anal. Min. Wei Wei, Kenneth Joseph, Huan Liu, Kathleen M. Carley
2016	J	`jnl`	Feature Selection: A Data Perspective. CoRR Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2016	A	`conf`	FeatureMiner: A Tool for Interactive Feature Selection. CIKM Kewei Cheng, Jundong Li, Huan Liu
2016	B	`conf`	Finding requests in social media for disaster relief. ASONAM Tahora H. Nazer, Fred Morstatter, Harsh Dani, Huan Liu
2016	A	`conf`	Identifying Rhetorical Questions in Social Media. ICWSM Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016	A	`conf`	Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection. CIKM Justin Sampson, Fred Morstatter, Liang Wu, Huan Liu
2016	A	`conf`	Linked Document Embedding for Classification. CIKM Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	J	`jnl`	Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance. EURASIP J. Bioinform. Syst. Biol. Xia Hu, Peter D. Reaven, Aramesh Saremi, Ninghao Liu, Mohammad Ali Abbasi, Huan Liu, Raymond Q. Migrino
2016	A*	`conf`	Multi-Label Informed Feature Selection. IJCAI Ling Jian, Jundong Li, Kai Shu, Huan Liu
2016	A	`conf`	Node Classification in Signed Social Networks. SDM Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	J	`jnl`	Online Behavioral Analysis and Modeling [Guest Editorial]. IEEE Intell. Syst. Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang
2016	A*	`conf`	PPP: Joint Pointwise and Pairwise Image Label Prediction. CVPR Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
2016	A	`conf`	Paired Restricted Boltzmann Machine for Linked Data. CIKM Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu
2016	A*	`conf`	Predicting Online Protest Participation of Social Media Users. AAAI Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016	A*	`conf`	Recommendation with Social Dimensions. AAAI Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016	A*	`conf`	Recommendations in Signed Social Networks. WWW Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	A	`conf`	Relational Learning with Social Status Analysis. WSDM Liang Wu, Xia Hu, Huan Liu
2016	J	`jnl`	Replacing Mechanical Turkers? Challenges in the Evaluation of Models with Semantic Properties. ACM J. Data Inf. Qual. Fred Morstatter, Huan Liu
2016	A	`conf`	Robust Unsupervised Feature Selection on Networked Data. SDM Jundong Li, Xia Hu, Liang Wu, Huan Liu
2016	A	`conf`	Signed Link Analysis in Social Media Networks. ICWSM Ghazaleh Beigi, Jiliang Tang, Huan Liu
2016	J	`jnl`	Signed Link Analysis in Social Media Networks. CoRR Ghazaleh Beigi, Jiliang Tang, Huan Liu
2016	J	`jnl`	SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification. CoRR Liang Wu, Fred Morstatter, Huan Liu
2016	J	`jnl`	The good, the bad, and the ugly: uncovering novel research opportunities in social media mining. Int. J. Data Sci. Anal. Huan Liu, Fred Morstatter, Jiliang Tang, Reza Zafarani
2016	A*	`conf`	Toward Time-Evolving Feature Selection on Dynamic Networks. ICDM Jundong Li, Xia Hu, Ling Jian, Huan Liu
2016	J	`jnl`	Uncovering and Predicting Human Behaviors. IEEE Intell. Syst. Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang
2016	A	`conf`	Understanding and Identifying Advocates for Political Campaigns on Social Media. WSDM Suhas Ranganath, Xia Hu, Jiliang Tang, Huan Liu
2016	A*	`conf`	Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. ICDM Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2016	J	`jnl`	User Identity Linkage across Online Social Networks: A Review. SIGKDD Explor. Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, Huan Liu
2016	J	`jnl`	Users joining multiple sites: Friendship and popularity variations across sites. Inf. Fusion Reza Zafarani, Huan Liu
2016	A	`conf`	Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis. ICWSM Jinxue Zhang, Xia Hu, Yanchao Zhang, Huan Liu
2015	A	`conf`	10 Bits of Surprise: Detecting Malicious Users with Minimum Information. CIKM Reza Zafarani, Huan Liu
2015	Misc	`conf`	A Local SVD Framework for Stable Feature Selection for Clustering. IRI Salem Alelyani, Huan Liu
2015	J	`jnl`	A Survey of Signed Network Mining in Social Media. CoRR Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu
2015	J	`jnl`	Addressing the cold-start problem in location recommendation using geo-social correlations. Data Min. Knowl. Discov. Huiji Gao, Jiliang Tang, Huan Liu
2015	J	`jnl`	CCCloud: Context-Aware and Credible Cloud Service Selection Based on Subjective Assessment and Objective Assessment. IEEE Trans. Serv. Comput. Lie Qu, Yan Wang, Mehmet A. Orgun, Ling Liu, Huan Liu, Athman Bouguettaya
2015	—	`conf`	Cell analytics in compound hit selection of bacterial inhibitors. IEEE BigData Robert P. Trevino, Steve A. Kawamoto, Thomas J. Lamkin, Huan Liu
2015	A*	`conf`	Content-Aware Point of Interest Recommendation on Location-Based Social Networks. AAAI Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2015	—	`conf`	Context-Aware Experience Extraction from Online Health Forums. ICHI Yunzhong Liu, Yi Chen, Jiliang Tang, Huan Liu
2015	J	`jnl`	Discovering Location Information in Social Media. IEEE Data Eng. Bull. Fred Morstatter, Huiji Gao, Huan Liu
2015	A*	`conf`	Embedded Unsupervised Feature Selection. AAAI Suhang Wang, Jiliang Tang, Huan Liu
2015	J	`jnl`	Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging. IEEE Trans. Big Data Xia Hu, Lei Tang, Huan Liu
2015	J	`jnl`	Evaluation without ground truth in social media research. Commun. ACM Reza Zafarani, Huan Liu
2015	A*	`conf`	Exploring Implicit Hierarchical Structures for Recommender Systems. IJCAI Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2015	B	`conf`	Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams. ASONAM Shamanth Kumar, Huan Liu, Sameep Mehta, L. Venkata Subramaniam
2015	A*	`conf`	Finding Time-Critical Responses for Information Seeking in Social Media. ICDM Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2015	B	`conf`	Finding the Right Social Media Site for Questions. ASONAM Zhen Yang, Isaac Jones, Xia Hu, Huan Liu
2015	—	`conf`	LIKE and Recommendation in Social Media. WWW (Companion Volume) Dongwon Lee, Huan Liu
2015	A	`conf`	Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. SDM Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary
2015	A*	`conf`	Leveraging Social Foci for Information Seeking in Social Media. AAAI Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
2015	J	`jnl`	Leveraging Social Foci for Information Seeking in Social Media. CoRR Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
2015	—	`book`	Mining Human Mobility in Location-Based Social Networks Huiji Gao, Huan Liu
2015	A	`conf`	Negative Link Prediction in Social Media. WSDM Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2015	B	`conf`	Online diffusion source detection in social networks. IJCNN Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang
2015	J	`jnl`	Predicting Online Protest Participation of Social Media Users. CoRR Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Huan Liu
2015	A	`conf`	Propagation-based Sentiment Analysis for Microblogging Data. SDM Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu
2015	—	`conf`	Real-Time Crisis Mapping Using Language Distribution. ICDM Workshops Justin Sampson, Fred Morstatter, Reza Zafarani, Huan Liu
2015	J	`jnl`	Reports on the 2015 AAAI Spring Symposium Series. AI Mag. Nitin Agarwal, Sean Andrist, Dan Bohus, Fei Fang, Laurie Fenstermacher, Lalana Kagal, Takashi Kido, Christopher Kiekintveld, William F. Lawless, Huan Liu, Andrew McCallum, Hemant Purohit, Oshani Seneviratne, Keiki Takadama, Gavin Taylor
2015	A	`conf`	Sarcasm Detection on Twitter: A Behavioral Modeling Approach. WSDM Ashwin Rajadesingan, Reza Zafarani, Huan Liu
2015	—	`ed.`	Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015. AAAI Workshop: Scholarly Big Data Cornelia Caragea, C. Lee Giles, Narayan L. Bhamidipati, Doina Caragea, Sujatha Das Gollapalli, Saurabh Kataria, Huan Liu, Feng Xia
2015	—	`conf`	Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. ICDM Workshops Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, Huan Liu
2015	—	`conf`	Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage. HT Justin Sampson, Fred Morstatter, Ross Maciejewski, Huan Liu
2015	—	`conf`	Text, Topics, and Turkers: A Consensus Measure for Statistical Topics. HT Fred Morstatter, Jürgen Pfeffer, Katja Mayer, Huan Liu
2015	B	`conf`	The Fragility of Twitter Social Networks Against Suspended Users. ASONAM Wei Wei, Kenneth Joseph, Huan Liu, Kathleen M. Carley
2015	A	`conf`	Toward Dual Roles of Users in Recommender Systems. CIKM Suhang Wang, Jiliang Tang, Huan Liu
2015	J	`jnl`	Trust Evolution: Modeling and Its Applications. IEEE Trans. Knowl. Data Eng. Jiliang Tang, Huiji Gao, Atish Das Sarma, Yingzhou Bi, Huan Liu
2015	—	`book`	Trust in Social Media Jiliang Tang, Huan Liu
2015	A*	`conf`	Unsupervised Sentiment Analysis for Social Media Images. IJCAI Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
2015	A	`conf`	Unsupervised Streaming Feature Selection in Social Media. CIKM Jundong Li, Xia Hu, Jiliang Tang, Huan Liu
2015	J	`jnl`	User Identification Across Social Media. ACM Trans. Knowl. Discov. Data Reza Zafarani, Lei Tang, Huan Liu
2015	—	`conf`	Visualizing Social Media Sentiment in Disaster Scenarios. WWW (Companion Volume) Yafeng Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu, Ross Maciejewski
2014	J	`jnl`	A Hierarchical Word-Merging Algorithm with Class Separability Measure. IEEE Trans. Pattern Anal. Mach. Intell. Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu
2014	—	`conf`	A behavior analytics approach to identifying tweets from crisis regions. HT Shamanth Kumar, Xia Hu, Huan Liu
2014	J	`jnl`	A novel approach to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search. Eng. Appl. Artif. Intell. Shijin Li, Jianbin Qiu, Xinxin Yang, Huan Liu, Dingsheng Wan, Yuelong Zhu
2014	—	`conf`	Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks. HT Mohammad Ali Abbasi, Reza Zafarani, Jiliang Tang, Huan Liu
2014	J	`jnl`	An Unsupervised Feature Selection Framework for Social Media Data. IEEE Trans. Knowl. Data Eng. Jiliang Tang, Huan Liu
2014	B	`conf`	An efficient privacy preserving location based service system. GLOBECOM Xinxin Zhao, Huiji Gao, Lingjun Li, Huan Liu, Guoliang Xue
2014	J	`jnl`	Behavior Informatics: A New Perspective. IEEE Intell. Syst. Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian
2014	A	`conf`	Discriminant Analysis for Unsupervised Feature Selection. SDM Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2014	—	`conf`	Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data. ICDM Workshops Yu Cheng, Alok N. Choudhary, Jun Wang, Sharath Pankanti, Huan Liu
2014	J	`jnl`	Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics. Soc. Netw. Anal. Min. Kathleen M. Carley, Jürgen Pfeffer, Fred Morstatter, Huan Liu
2014	—	`ch.`	Feature Selection for Classification: A Review. Data Classification: Algorithms and Applications Jiliang Tang, Salem Alelyani, Huan Liu
2014	J	`jnl`	Feature Selection for Social Media Data. ACM Trans. Knowl. Discov. Data Jiliang Tang, Huan Liu
2014	—	`conf`	Finding Eyewitness Tweets During Crises. LTCSS@ACL Fred Morstatter, Nichola Lubold, Heather Pon-Barry, Jürgen Pfeffer, Huan Liu
2014	J	`jnl`	Finding Eyewitness Tweets During Crises. CoRR Fred Morstatter, Nichola Lubold, Heather Pon-Barry, Jürgen Pfeffer, Huan Liu
2014	A	`conf`	Finding Friends on a New Site Using Minimum Information. SDM Reza Zafarani, Huan Liu
2014	J	`jnl`	From Tweets to Events: Exploring a Scalable Solution for Twitter Streams. CoRR Shamanth Kumar, Huan Liu, Sameep Mehta, L. Venkata Subramaniam
2014	J	`jnl`	Global and Local Structure Preservation for Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, Huan Liu
2014	—	`conf`	Identifying Users with Opposing Opinions in Twitter Debates. SBP Ashwin Rajadesingan, Huan Liu
2014	J	`jnl`	Identifying Users with Opposing Opinions in Twitter Debates. CoRR Ashwin Rajadesingan, Huan Liu
2014	—	`conf`	Is distrust the negation of trust?: the value of distrust in social media. HT Jiliang Tang, Xia Hu, Huan Liu
2014	A*	`conf`	Leveraging knowledge across media for spammer detection in microblogging. SIGIR Xia Hu, Jiliang Tang, Huan Liu
2014	J	`jnl`	Negative Link Prediction in Social Media. CoRR Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2014	A*	`conf`	Online Social Spammer Detection. AAAI Xia Hu, Jiliang Tang, Huan Liu
2014	A	`conf`	Personalized location recommendation on location-based social networks. RecSys Huiji Gao, Jiliang Tang, Huan Liu
2014	A	`conf`	Predictability of Distrust with Interaction Data. CIKM Jiliang Tang, Xia Hu, Yi Chang, Huan Liu
2014	A*	`conf`	Recommendation in social media: recent advances and new frontiers. KDD Jiliang Tang, Jie Tang, Huan Liu
2014	—	`conf`	Scalable learning of users' preferences using networked data. HT Mohammad Ali Abbasi, Jiliang Tang, Huan Liu
2014	—	`book`	Social Media Mining: An Introduction Reza Zafarani, Mohammad Ali Abbasi, Huan Liu
2014	—	`ch.`	Social Provenance. Encyclopedia of Social Network Analysis and Mining Zhuo Feng, Pritam Gundecha, Huan Liu
2014	A*	`conf`	Social Role Identification via Dual Uncertainty Minimization Regularization. ICDM Yu Cheng, Ankit Agrawal, Alok N. Choudhary, Huan Liu, Tao Zhang
2014	A*	`conf`	Social Spammer Detection with Sentiment Information. ICDM Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2014	—	`ch.`	Time- and Event-Driven Modeling of Blogger Influence. Encyclopedia of Social Network Analysis and Mining Nitin Agarwal, Debanjan Mahata, Huan Liu
2014	—	`conf`	Trust in social computing. WWW (Companion Volume) Jiliang Tang, Huan Liu
2014	—	`book`	Twitter Data Analytics Shamanth Kumar, Fred Morstatter, Huan Liu
2014	J	`jnl`	Uncovering deception in social media. Soc. Netw. Anal. Min. Huan Liu, Jiawei Han, Hiroshi Motoda
2014	J	`jnl`	User Vulnerability and Its Reduction on a Social Networking Site. ACM Trans. Knowl. Discov. Data Pritam Gundecha, Geoffrey Barbier, Jiliang Tang, Huan Liu
2014	A	`conf`	Users Joining Multiple Sites: Distributions and Patterns. ICWSM Reza Zafarani, Huan Liu
2014	J	`jnl`	When is it Biased? Assessing the Representativeness of Twitter's Streaming API. CoRR Fred Morstatter, Jürgen Pfeffer, Huan Liu
2014	—	`conf`	When is it biased?: assessing the representativeness of twitter's streaming API. WWW (Companion Volume) Fred Morstatter, Jürgen Pfeffer, Huan Liu
2013	A	`conf`	A tool for assisting provenance search in social media. CIKM Suhas Ranganath, Pritam Gundecha, Huan Liu
2013	A*	`conf`	A tool for collecting provenance data in social media. KDD Pritam Gundecha, Suhas Ranganath, Zhuo Feng, Huan Liu
2013	A	`conf`	ActNeT: Active Learning for Networked Texts in Microblogging. SDM Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2013	A	`conf`	CoSelect: Feature Selection with Instance Selection for Social Media Data. SDM Jiliang Tang, Huan Liu
2013	A*	`conf`	Connecting users across social media sites: a behavioral-modeling approach. KDD Reza Zafarani, Huan Liu
2013	A	`conf`	Context-aware review helpfulness rating prediction. RecSys Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013	A*	`conf`	Exploiting Local and Global Social Context for Recommendation. IJCAI Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013	A	`conf`	Exploiting homophily effect for trust prediction. WSDM Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013	A	`conf`	Exploiting social relations for sentiment analysis in microblogging. WSDM Xia Hu, Lei Tang, Jiliang Tang, Huan Liu
2013	A	`conf`	Exploring temporal effects for location recommendation on location-based social networks. RecSys Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2013	—	`ch.`	Feature Selection for Clustering: A Review. Data Clustering: Algorithms and Applications Salem Alelyani, Jiliang Tang, Huan Liu
2013	A	`conf`	Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose. ICWSM Fred Morstatter, Jürgen Pfeffer, Huan Liu, Kathleen M. Carley
2013	J	`jnl`	Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose. CoRR Fred Morstatter, Jürgen Pfeffer, Huan Liu, Kathleen M. Carley
2013	J	`jnl`	Learning with multi-resolution overlapping communities. Knowl. Inf. Syst. Xufei Wang, Lei Tang, Huan Liu, Lei Wang
2013	—	`conf`	Measuring User Credibility in Social Media. SBP Mohammad Ali Abbasi, Huan Liu
2013	—	`conf`	Mining Social Media: Challenges and Opportunities. SOCIETY Isaac Jones, Huan Liu
2013	J	`jnl`	Mining social media with social theories: a survey. SIGKDD Explor. Jiliang Tang, Yi Chang, Huan Liu
2013	A	`conf`	Modeling temporal effects of human mobile behavior on location-based social networks. CIKM Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2013	B	`conf`	Near real time assessment of social media using geo-temporal network analytics. ASONAM Kathleen M. Carley, Jürgen Pfeffer, Huan Liu, Fred Morstatter, Rebecca Goolsby
2013	B	`conf`	Network denoising in social media. ASONAM Huiji Gao, Xufei Wang, Jiliang Tang, Huan Liu
2013	J	`jnl`	On Similarity Preserving Feature Selection. IEEE Trans. Knowl. Data Eng. Zheng Zhao, Lei Wang, Huan Liu, Jieping Ye
2013	—	`book`	Provenance Data in Social Media Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, Huan Liu
2013	B	`conf`	Recovering information recipients in social media via provenance. ASONAM Zhuo Feng, Pritam Gundecha, Huan Liu
2013	A	`conf`	Seeking provenance of information using social media. CIKM Pritam Gundecha, Zhuo Feng, Huan Liu
2013	A*	`conf`	Social Spammer Detection in Microblogging. IJCAI Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu
2013	J	`jnl`	Social recommendation: a review. Soc. Netw. Anal. Min. Jiliang Tang, Xia Hu, Huan Liu
2013	A*	`conf`	Understanding Twitter data with TweetXplorer. KDD Fred Morstatter, Shamanth Kumar, Huan Liu, Ross Maciejewski
2013	A	`conf`	Unsupervised Feature Selection for Multi-View Data in Social Media. SDM Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013	A*	`conf`	Unsupervised sentiment analysis with emotional signals. WWW Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2013	—	`conf`	Whom should I follow?: identifying relevant users during crises. HT Shamanth Kumar, Fred Morstatter, Reza Zafarani, Huan Liu
2012	J	`jnl`	Community detection via heterogeneous interaction analysis. Data Min. Knowl. Discov. Lei Tang, Xufei Wang, Huan Liu
2012	A	`conf`	Discovering Trust Networks for the Selection of Trustworthy Service Providers in Complex Contextual Social Networks. ICWS Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Huan Liu
2012	J	`jnl`	Enriching short text representation in microblog for clustering. Frontiers Comput. Sci. China Jiliang Tang, Xufei Wang, Huiji Gao, Xia Hu, Huan Liu
2012	—	`conf`	Ensemble Feature Selection in Face Recognition: ICMLA 2012 Challenge. ICMLA (2) Salem Alelyani, Huan Liu
2012	A	`conf`	Exploring Social-Historical Ties on Location-Based Social Networks. ICWSM Huiji Gao, Jiliang Tang, Huan Liu
2012	—	`conf`	Faceted Browsing over Social Media. BDA Ullas Nambiar, Tanveer A. Faruquie, Shamanth Kumar, Fred Morstatter, Huan Liu
2012	A	`conf`	Feature Selection with Linked Data in Social Media. SDM Jiliang Tang, Huan Liu
2012	J	`jnl`	Identifying Evolving Groups in Dynamic Multimode Networks. IEEE Trans. Knowl. Data Eng. Lei Tang, Huan Liu, Jianping Zhang
2012	—	`conf`	Lessons Learned in Using Social Media for Disaster Relief - ASU Crisis Response Game. SBP Mohammad Ali Abbasi, Shamanth Kumar, Jose Augusto Andrade Filho, Huan Liu
2012	J	`jnl`	Maximizing benefits from crowdsourced data. Comput. Math. Organ. Theory Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Pui Cheong Fung, Huan Liu
2012	J	`jnl`	Modeling blogger influence in a community. Soc. Netw. Anal. Min. Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu
2012	A*	`conf`	Navigating information facets on twitter (NIF-T). KDD Shamanth Kumar, Fred Morstatter, Grant Marshall, Huan Liu, Ullas Nambiar
2012	J	`jnl`	Opening Doors to Sharing Social Media Data. IEEE Intell. Syst. Fred Morstatter, Huan Liu, Daniel Zeng
2012	—	`conf`	Real-World Behavior Analysis through a Social Media Lens. SBP Mohammad Ali Abbasi, Sun-Ki Chai, Huan Liu, Kiran Sagoo
2012	J	`jnl`	Scalable Learning of Collective Behavior. IEEE Trans. Knowl. Data Eng. Lei Tang, Xufei Wang, Huan Liu
2012	—	`conf`	Social status and role analysis of palin's email network. WWW (Companion Volume) Xia Hu, Huan Liu
2012	—	`conf`	Supervised Low Rank Matrix Approximation for Stable Feature Selection. ICMLA (1) Salem Alelyani, Huan Liu
2012	—	`ch.`	Text Analytics in Social Media. Mining Text Data Xia Hu, Huan Liu
2012	A*	`conf`	Unsupervised feature selection for linked social media data. KDD Jiliang Tang, Huan Liu
2012	A*	`conf`	eTrust: understanding trust evolution in an online world. KDD Jiliang Tang, Huiji Gao, Huan Liu, Atish Das Sarma
2012	A	`conf`	gSCorr: modeling geo-social correlations for new check-ins on location-based social networks. CIKM Huiji Gao, Jiliang Tang, Huan Liu
2012	A	`conf`	mTrust: discerning multi-faceted trust in a connected world. WSDM Jiliang Tang, Huiji Gao, Huan Liu
2011	C	`conf`	A Dilemma in Assessing Stability of Feature Selection Algorithms. HPCC Salem Alelyani, Zheng Zhao, Huan Liu
2011	A	`conf`	Connecting users with similar interests via tag network inference. CIKM Xufei Wang, Huan Liu, Wei Fan
2011	—	`ch.`	Data Mining in Social Media. Social Network Data Analytics Geoffrey Barbier, Huan Liu
2011	A*	`conf`	Document Clustering via Matrix Representation. ICDM Xufei Wang, Jiliang Tang, Huan Liu
2011	A	`conf`	Enhancing accessibility of microblogging messages using semantic knowledge. CIKM Xia Hu, Lei Tang, Huan Liu
2011	J	`jnl`	Erratum. Int. J. Gen. Syst. Niyati Yagnik, Huan Liu, H. J. S. Fernando
2011	A*	`conf`	Exploiting vulnerability to secure user privacy on a social networking site. KDD Pritam Gundecha, Geoffrey Barbier, Huan Liu
2011	—	`conf`	Extracting geographic knowledge from sensor intervention data using spatial association rules. ICSDM Anirudh Kondaveeti, George C. Runger, Huan Liu, Jeremy Rowe
2011	—	`conf`	Feature Selection Strategy in Text Classification. PAKDD (1) Gabriel Pui Cheong Fung, Fred Morstatter, Huan Liu
2011	J	`jnl`	Group Profiling for Understanding Social Structures. ACM Trans. Intell. Syst. Technol. Lei Tang, Xufei Wang, Huan Liu
2011	—	`conf`	Information Provenance in Social Media. SBP Geoffrey Barbier, Huan Liu
2011	—	`conf`	Integrating Social Media Data for Community Detection. MSM/MUSE Jiliang Tang, Xufei Wang, Huan Liu
2011	J	`jnl`	Introduction. ACM Trans. Intell. Syst. Technol. Huan Liu, Dana S. Nau
2011	J	`jnl`	Leveraging social media networks for classification. Data Min. Knowl. Discov. Lei Tang, Huan Liu
2011	—	`conf`	Promoting Coordination for Disaster Relief - From Crowdsourcing to Coordination. SBP Huiji Gao, Xufei Wang, Geoffrey Barbier, Huan Liu
2011	B	`conf`	Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. ICTAI Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, Rodrigo Fernandes de Mello, Salem Alelyani, Huan Liu
2011	J	`jnl`	Quantifying the trustworthiness of social media content. Distributed Parallel Databases Sai T. Moturu, Huan Liu
2011	J	`jnl`	Sensor networks: decentralized monitoring and subspace classification of events. Int. J. Gen. Syst. Niyati Yagnik, Huan Liu, H. J. S. Fernando
2011	B	`conf`	The Effect of the Characteristics of the Dataset on the Selection Stability. ICTAI Salem Alelyani, Huan Liu, Lei Wang
2011	A	`conf`	TweetTracker: An Analysis Tool for Humanitarian and Disaster Relief. ICWSM Shamanth Kumar, Geoffrey Barbier, Mohammad Ali Abbasi, Huan Liu
2011	A*	`conf`	Understanding User Migration Patterns in Social Media. AAAI Shamanth Kumar, Reza Zafarani, Huan Liu
2011	J	`jnl`	Understanding online groups through social media. WIREs Data Mining Knowl. Discov. Geoffrey Barbier, Lei Tang, Huan Liu
2010	—	`conf`	A Social Network Analysis Approach to Detecting Suspicious Online Financial Activities. SBP Lei Tang, Geoffrey Barbier, Huan Liu, Jianping Zhang
2010	—	`conf`	A multi-resolution approach to learning with overlapping communities. SOMA@KDD Lei Tang, Xufei Wang, Huan Liu, Lei Wang
2010	A	`conf`	An Integrative Approach to Indentifying Biologically Relevant Genes. SDM Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, Yung Chang
2010	—	`conf`	Biological Relevance Detection via Network Dynamic Analysis. BICoB Zheng Zhao, Huan Liu, Jiangxin Wang, Yung Chang
2010	—	`ch.`	Clustering of Blog Sites Using Collective Wisdom. Computational Social Network Analysis Nitin Agarwal, Magdiel Galan, Huan Liu, Shankara B. Subramanya
2010	—	`book`	Community Detection and Mining in Social Media Lei Tang, Huan Liu
2010	—	`conf`	Convergence of Influential Bloggers for Topic Discovery in the Blogosphere. SBP Shamanth Kumar, Reza Zafarani, Mohammad Ali Abbasi, Geoffrey Barbier, Huan Liu
2010	A*	`conf`	Discovering Overlapping Groups in Social Media. ICDM Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
2010	A*	`conf`	Efficient Spectral Feature Selection with Minimum Redundancy. AAAI Zheng Zhao, Lei Wang, Huan Liu
2010	—	`ch.`	Feature Selection. Encyclopedia of Machine Learning Huan Liu
2010	—	`conf`	Feature Selection: An Ever Evolving Frontier in Data Mining. FSDM Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
2010	—	`ch.`	Graph Mining Applications to Social Network Analysis. Managing and Mining Graph Data Lei Tang, Huan Liu
2010	J	`jnl`	Guest Editors' Introduction: Social Computing in the Blogosphere. IEEE Internet Comput. Huan Liu, Philip S. Yu, Nitin Agarwal, Torsten Suel
2010	J	`jnl`	Introduction to the ACM TIST special issue AI in social computing and cultural modeling. ACM Trans. Intell. Syst. Technol. Huan Liu, Dana S. Nau
2010	—	`conf`	Network quantification despite biased labels. MLG@KDD Lei Tang, Huiji Gao, Huan Liu
2010	—	`conf`	Preface. FSDM Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
2010	—	`ed.`	Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, FSDM, held at PAKDD 2010, Hyderabad, India, June 21st, 2010 FSDM Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
2010	—	`conf`	Sentiment Propagation in Social Networks: A Case Study in LiveJournal. SBP Reza Zafarani, William D. Cole, Huan Liu
2010	J	`jnl`	Toward Predicting Collective Behavior via Social Dimension Extraction. IEEE Intell. Syst. Lei Tang, Huan Liu
2010	—	`ch.`	Understanding Group Structures and Properties in Social Media. Link Mining Lei Tang, Huan Liu
2010	J	`jnl`	WisColl: Collective wisdom based blog clustering. Inf. Sci. Nitin Agarwal, Magdiel Galan Oliveras, Huan Liu, Shankara B. Subramanya
2009	A	`conf`	A Social Identity Approach to Identify Familiar Strangers in a Social Network. ICWSM Nitin Agarwal, Huan Liu, Sudheendra Murthy, Arunabha Sen, Xufei Wang
2009	A	`conf`	BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere. ICWSM Nitin Agarwal, Shamanth Kumar, Huan Liu, Mark Woodward
2009	—	`ch.`	Bridging Taxonomic Semantics to Accurate Hierarchical Classification. Encyclopedia of Data Warehousing and Mining Lei Tang, Huan Liu, Jianping Zhang
2009	A	`conf`	Connecting Corresponding Identities across Communities. ICWSM Reza Zafarani, Huan Liu
2009	A*	`conf`	Connecting Sparsely Distributed Similar Bloggers. ICDM Nitin Agarwal, Huan Liu, Shankara B. Subramanya, John J. Salerno, Philip S. Yu
2009	—	`ch.`	Cross-Validation. Encyclopedia of Database Systems Payam Refaeilzadeh, Lei Tang, Huan Liu
2009	—	`conf`	Evaluating the trustworthiness of Wikipedia articles through quality and credibility. Int. Sym. Wikis Sai T. Moturu, Huan Liu
2009	—	`conf`	Integrating Knowledge in Search of Biologically Relevant Genes. ICDM Workshops Zheng Zhao, Shashvata Sharma, Nitin Agarwal, Huan Liu, Jiangxin Wang, Yung Chang
2009	J	`jnl`	Introduction to special issue on social computing, behavioral modeling, and prediction. ACM Trans. Knowl. Discov. Data Huan Liu, John J. Salerno, Michael Young, Rakesh Agrawal, Philip S. Yu
2009	—	`ch.`	Manipulating Data and Dimension Reduction Methods: Feature Selection. Encyclopedia of Complexity and Systems Science Huan Liu, Zheng Zhao
2009	—	`book`	Modeling and Data Mining in Blogosphere Nitin Agarwal, Huan Liu
2009	A*	`conf`	Multiclass Probabilistic Kernel Discriminant Analysis. IJCAI Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye
2009	—	`conf`	Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media. CSE (4) Sai T. Moturu, Jian Yang, Huan Liu
2009	A*	`conf`	Relational learning via latent social dimensions. KDD Lei Tang, Huan Liu
2009	A	`conf`	Scalable learning of collective behavior based on sparse social dimensions. CIKM Lei Tang, Huan Liu
2009	J	`jnl`	Searching for interacting features in subset selection. Intell. Data Anal. Zheng Zhao, Huan Liu
2009	—	`ch.`	Trust in Blogosphere. Encyclopedia of Database Systems Nitin Agarwal, Huan Liu
2009	A*	`conf`	Uncoverning Groups via Heterogeneous Interaction Analysis. ICDM Lei Tang, Xufei Wang, Huan Liu
2008	J	`jnl`	Blogosphere: research issues, tools, and applications. SIGKDD Explor. Nitin Agarwal, Huan Liu
2008	B	`conf`	Clustering Blogs with Collective Wisdom. ICWE Nitin Agarwal, Magdiel Galan Oliveras, Huan Liu, Shankara B. Subramanya
2008	A*	`conf`	Community evolution in dynamic multi-mode networks. KDD Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri
2008	J	`jnl`	Completing missing views for multiple sources of web media. Int. J. Data Min. Model. Manag. Shankara B. Subramanya, Zheshen Wang, Baoxin Li, Huan Liu
2008	—	`ch.`	Dimensionality Reduction. Wiley Encyclopedia of Computer Science and Engineering Manoranjan Dash, Huan Liu
2008	—	`conf`	Healthcare Risk Modeling for Medicaid Patients - The Impact of Sampling on the Prediction of High-Cost Patients. HEALTHINF (1) Sai T. Moturu, Huan Liu, William G. Johnson
2008	A*	`conf`	Heterogeneous data fusion for alzheimer's disease study. KDD Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman
2008	A*	`conf`	Identifying biologically relevant genes via multiple heterogeneous data sources. KDD Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang
2008	A	`conf`	Identifying the influential bloggers in a community. WSDM Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu
2008	—	`conf`	Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis. FSDM Zheng Zhao, Huan Liu
2008	B	`conf`	Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining. PAKDD Wai Kit Wong, David W. Cheung, Edward Hung, Huan Liu
2008	Misc	`conf`	Robust integration of multiple information sources by view completion. IRI Shankara B. Subramanya, Baoxin Li, Huan Liu
2008	—	`ch.`	Searching for "Familiar Strangers" on Blogosphere. Next Generation of Data Mining Nitin Agarwal, Huan Liu, John J. Salerno, Philip S. Yu
2008	—	`conf`	Socialtagger - collaborative tagging for blogs in the long tail. SSM Shankara B. Subramanya, Huan Liu
2008	J	`jnl`	Topic taxonomy adaptation for group profiling. ACM Trans. Knowl. Discov. Data Lei Tang, Huan Liu, Jianping Zhang, Nitin Agarwal, John J. Salerno
2008	—	`conf`	Understanding the Effects of Sampling on Healthcare Risk Modeling for the Prediction of Future High-Cost Patients. BIOSTEC (Selected Papers) Sai T. Moturu, Huan Liu, William G. Johnson
2007	A*	`conf`	Adaptive Distance Metric Learning for Clustering. CVPR Jieping Ye, Zheng Zhao, Huan Liu
2007	A*	`conf`	Nonlinear adaptive distance metric learning for clustering. KDD Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
2007	—	`conf`	Predicting Future High-Cost Patients: A Real-World Risk Modeling Application. BIBM Sai T. Moturu, William G. Johnson, Huan Liu
2007	A*	`conf`	Searching for Interacting Features. IJCAI Zheng Zhao, Huan Liu
2007	A	`conf`	Semi-supervised Feature Selection via Spectral Analysis. SDM Zheng Zhao, Huan Liu
2007	A*	`conf`	Spectral feature selection for supervised and unsupervised learning. ICML Zheng Zhao, Huan Liu
2007	A*	`conf`	Time-dependent event hierarchy construction. KDD Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu
2006	A*	`conf`	A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. ICDM Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu
2006	J	`jnl`	A Subspace Clustering Framework for Research Group Collaboration. Int. J. Inf. Technol. Web Eng. Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Parsons
2006	A*	`conf`	Acclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy. KDD Lei Tang, Jianping Zhang, Huan Liu
2006	J	`jnl`	Blocking objectionable web content by leveraging multiple information sources. SIGKDD Explor. Nitin Agarwal, Huan Liu, Jianping Zhang
2006	J	`jnl`	Discovering mappings in hierarchical data from multiple sources using the inherent structure. Knowl. Inf. Syst. K. Selçuk Candan, Jong Wook Kim, Huan Liu, Reshma Suvarna
2006	A*	`conf`	Feature subset selection bias for classification learning. ICML Surendra K. Singhi, Huan Liu
2006	A*	`conf`	Query Selection Techniques for Efficient Crawling of Structured Web Sources. ICDE Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma
2006	J	`jnl`	Some current issues of streaming data mining. Inf. Sci. Jianping Zhang, Huan Liu, Paul P. Wang
2005	A*	`conf`	A Novel Approach to Model Generation for Heterogeneous Data Classification. IJCAI Rong Jin, Huan Liu
2005	B	`ed.`	Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings PAKDD Tu Bao Ho, David Wai-Lok Cheung, Huan Liu
2005	A*	`conf`	Bias Analysis in Text Classification for Highly Skewed Data. ICDM Lei Tang, Huan Liu
2005	—	`conf`	BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers. DILS Prabhdeep Singh, R. Bhimavarapu, Hasan Davulcu, Chitta Baral, Seungchan Kim, Huan Liu, Michael L. Bittner, I. V. Ramakrishnan
2005	A*	`conf`	CubeSVD: a novel approach to personalized Web search. WWW Jian-Tao Sun, Hua-Jun Zeng, Huan Liu, Yuchang Lu, Zheng Chen
2005	—	`conf`	Error-Sensitive Grading for Model Combination. ECML Surendra K. Singhi, Huan Liu
2005	J	`jnl`	Evolving Feature Selection. IEEE Intell. Syst. Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman
2005	A*	`conf`	Learning with Labeled Sessions. IJCAI Rong Jin, Huan Liu
2005	—	`conf`	Research Paper Recommender Systems: A Subspace Clustering Approach. WAIM Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Parsons
2005	J	`jnl`	Toward Integrating Feature Selection Algorithms for Classification and Clustering. IEEE Trans. Knowl. Data Eng. Huan Liu, Lei Yu
2004	J	`jnl`	A selective sampling approach to active feature selection. Artif. Intell. Huan Liu, Hiroshi Motoda, Lei Yu
2004	J	`jnl`	Active learning for detecting a spectrally variable subject in color infrared imagery. Pattern Recognit. Lett. Patricia G. Foschi, Huan Liu
2004	—	`conf`	An Empirical Study of Building Compact Ensembles. WAIM Huan Liu, Amit Mandvikar, Jigar Mody
2004	A	`conf`	Class-Specific Ensembles for Active Learning. SDM Amit Mandvikar, Huan Liu
2004	B	`conf`	Compact Dual Ensembles for Active Learning. PAKDD Amit Mandvikar, Huan Liu, Hiroshi Motoda
2004	J	`jnl`	Efficient Feature Selection via Analysis of Relevance and Redundancy. J. Mach. Learn. Res. Lei Yu, Huan Liu
2004	A*	`conf`	Redundancy based feature selection for microarray data. KDD Lei Yu, Huan Liu
2004	A*	`conf`	Robust feature induction for support vector machines. ICML Rong Jin, Huan Liu
2004	—	`conf`	SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data. ECML Rong Jin, Huan Liu
2004	J	`jnl`	Subspace clustering for high dimensional data: a review. SIGKDD Explor. Lance Parsons, Ehtesham Haque, Huan Liu
2003	B	`conf`	Active Feature Selection Using Classes. PAKDD Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda
2003	A*	`conf`	Active Learning with Ensembles for Image Classification. IJCAI Huan Liu, Amit Mandvikar, Patricia G. Foschi, Kari Torkkola
2003	J	`jnl`	Consistency-based search in feature selection. Artif. Intell. Manoranjan Dash, Huan Liu
2003	A*	`conf`	Efficiently handling feature redundancy in high-dimensional data. KDD Lei Yu, Huan Liu
2003	J	`jnl`	Fast hierarchical clustering and its validation. Data Knowl. Eng. Manoranjan Dash, Huan Liu, Peter Scheuermann, Kian-Lee Tan
2003	A*	`conf`	Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. ICML Lei Yu, Huan Liu
2003	C	`conf`	Mining "Hidden Phrase" Definitions from the Web. APWeb Hung V. Nguyen, P. Velamuru, Deepak Kolippakkam, Hasan Davulcu, Huan Liu, M. Ates
2002	J	`jnl`	Discretization: An Enabling Technique. Data Min. Knowl. Discov. Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan Dash
2002	—	`conf`	Feature Extraction for Image Mining. Multimedia Information Systems Patricia G. Foschi, Deepak Kolippakkam, Huan Liu, Amit Mandvikar
2002	A*	`conf`	Feature Selection for Clustering - A Filter Solution. ICDM Manoranjan Dash, Kiseok Choi, Peter Scheuermann, Huan Liu
2002	A*	`conf`	Feature Selection with Selective Sampling. ICML Huan Liu, Hiroshi Motoda, Lei Yu
2002	J	`jnl`	On Issues of Instance Selection. Data Min. Knowl. Discov. Huan Liu, Hiroshi Motoda
2002	J	`jnl`	Sampling from databases using B^+-Trees. Intell. Data Anal. Dimuthu Prasanna Makawita, Kian-Lee Tan, Huan Liu
2002	J	`jnl`	User Intention Modelling in Web Applications Using Data Mining. World Wide Web Zheng Chen, Fan Lin, Huan Liu, Wei-Ying Ma, Liu Wenyin
2001	B	`conf`	'1 + 1 > 2': Merging Distance and Density Based Clustering. DASFAA Manoranjan Dash, Huan Liu, X. Xu
2001	B	`conf`	Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions. PAKDD Manoranjan Dash, Huan Liu
2001	A*	`conf`	Efficient Yet Accurate Clustering. ICDM Manoranjan Dash, Kian-Lee Tan, Huan Liu
2001	—	`conf`	Efficiently Determine the Starting Sample Size for Progressive Sampling. DMKD Baohua Gu, Bing Liu, Feifang Hu, Huan Liu
2001	—	`conf`	Efficiently Determining the Starting Sample Size for Progressive Sampling. ECML Baohua Gu, Bing Liu, Feifang Hu, Huan Liu
2001	J	`jnl`	Resource Description Framework: Metadata and Its Applications. SIGKDD Explor. K. Selçuk Candan, Huan Liu, Reshma Suvarna
2001	J	`jnl`	Toward Multidatabase Mining: Identifying Relevant Databases. IEEE Trans. Knowl. Data Eng. Huan Liu, Hongjun Lu, Jun Yao
2000	B	`conf`	Consistency Based Feature Selection. PAKDD Manoranjan Dash, Huan Liu, Hiroshi Motoda
2000	B	`conf`	Exception Rule Mining with a Relative Interestingness Measure. PAKDD Farhad Hussain, Huan Liu, Einoshin Suzuki, Hongjun Lu
2000	B	`conf`	Feature Selection for Clustering. PAKDD Manoranjan Dash, Huan Liu
2000	A	`conf`	Sampling from Databases Using B+-Trees. CIKM Dimuthu Prasanna Makawita, Kian-Lee Tan, Huan Liu
1999	J	`jnl`	A connectionist approach to generating oblique decision trees. IEEE Trans. Syst. Man Cybern. Part B Rudy Setiono, Huan Liu
1999	B	`conf`	Efficient Search of Reliable Exceptions. PAKDD Huan Liu, Hongjun Lu, Ling Feng, Farhad Hussain
1999	B	`conf`	Feature Selection Using Consistency Measure. Discovery Science Manoranjan Dash, Huan Liu, Hiroshi Motoda
1999	—	`conf`	Handling Large Unsupervised Data via Dimensionality Reduction. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery Manoranjan Dash, Huan Liu
1999	B	`conf`	Mining Weak Rules. COMPSAC Huan Liu, Hongjun Lu
1998	—	`conf`	A Monotonic Measure for Optimal Feature Selection. ECML Huan Liu, Hiroshi Motoda, Manoranjan Dash
1998	J	`jnl`	Analysis of Hidden Representations by Greedy Clustering. Connect. Sci. Rudy Setiono, Huan Liu
1998	B	`conf`	CFMD: A Conflict-Free Multivariate Discretization Algorithm. PAKDD Ying Lu, Huan Liu, Chew Lim Tan
1998	—	`book`	Feature Selection for Knowledge Discovery and Data Mining Huan Liu, Hiroshi Motoda
1998	B	`conf`	Feature Transformation and Multivariate Decision Tree Induction. Discovery Science Huan Liu, Rudy Setiono
1998	B	`conf`	Fragmentation problem and automated feature construction. ICTAI Rudy Setiono, Huan Liu
1998	J	`jnl`	Guest Editors' Introduction: Feature Transformation and Subset Selection. IEEE Intell. Syst. Huan Liu, Hiroshi Motoda
1998	B	`conf`	Hybrid Search of Feature Subsets. PRICAI Manoranjan Dash, Huan Liu
1998	B	`conf`	Identifying Relevant Databases for Multidatabase Mining. PAKDD Huan Liu, Hongjun Lu, Jun Yao
1998	J	`jnl`	Incremental Feature Selection. Appl. Intell. Huan Liu, Rudy Setiono
1997	J	`jnl`	Feature Selection for Classification. Intell. Data Anal. Manoranjan Dash, Huan Liu
1997	J	`jnl`	Feature Selection via Discretization. IEEE Trans. Knowl. Data Eng. Huan Liu, Rudy Setiono
1997	J	`jnl`	Neural-network feature selector. IEEE Trans. Neural Networks Rudy Setiono, Huan Liu
1997	—	`conf`	NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks. ECML Rudy Setiono, Huan Liu
1997	J	`jnl`	NeuroLinear: From neural networks to oblique decision rules. Neurocomputing Rudy Setiono, Huan Liu
1996	A*	`conf`	A Probabilistic Approach to Feature Selection - A Filter Solution. ICML Huan Liu, Rudy Setiono
1996	J	`jnl`	Dimensionality reduction via discretization. Knowl. Based Syst. Huan Liu, Rudy Setiono
1996	J	`jnl`	Effective Data Mining Using Neural Networks. IEEE Trans. Knowl. Data Eng. Hongjun Lu, Rudy Setiono, Huan Liu
1996	C	`conf`	Feature Selection and Classification - A Probabilistic Wrapper Approach. IEA/AIE Huan Liu, Rudy Setiono
1996	J	`jnl`	Improving Backpropagation Learning with Feature Selection. Appl. Intell. Rudy Setiono, Huan Liu
1996	J	`jnl`	Symbolic Representation of Neural Networks. Computer Rudy Setiono, Huan Liu
1995	B	`conf`	Chi2: feature selection and discretization of numeric attributes. ICTAI Huan Liu, Rudy Setiono
1995	A*	`conf`	NeuroRule: A Connectionist Approach to Data Mining. VLDB Hongjun Lu, Rudy Setiono, Huan Liu
1995	—	`conf`	Towards Effective Classfication Rule Extraction (Abstract). KDOOD/TDOOD Hongjun Lu, Rudy Setiono, Huan Liu
1995	A*	`conf`	Understanding Neural Networks via Rule Extraction. IJCAI Rudy Setiono, Huan Liu
1993	J	`jnl`	Knowledge-based control of grasping in robot hands using heuristics from human motor skills. IEEE Trans. Robotics Autom. George A. Bekey, Huan Liu, Rajko Tomovic, Walter J. Karplus
1989	A*	`conf`	The multi-dimensional quality of task requirements for dextrous robot hand control. ICRA Huan Liu, Thea Iberall, George A. Bekey
1988	—	`conf`	Building a generic architecture for robot hand control. ICNN Huan Liu, Thea Iberall, George A. Bekey
1988	A*	`conf`	Robot hand-eye coordination: shape description and grasping. ICRA Kashipati Rao, Gérard G. Medioni, Huan Liu, George A. Bekey