Xiangliang Zhang

505 papers A* 114A 32B 13C 2Misc 7Journal 272Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive and Context-rich Generative Self-supervised Learning on Graphs. AAAI Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2026	A*	`conf`	Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement. AAAI Xiaonan Luo, Yue Huang, Ping He, Xiangliang Zhang
2026	J	`jnl`	Capability-Oriented Training Induced Alignment Risk. CoRR Yujun Zhou, Yue Huang, Han Bao, Kehan Guo, Zhenwen Liang, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang
2026	J	`jnl`	Deconstructing Multimodal Mathematical Reasoning: Towards a Unified Perception-Alignment-Reasoning Paradigm. CoRR Tianyu Yang, Sihong Wu, Yilun Zhao, Zhenwen Liang, Lisen Dai, Chen Zhao, Minhao Cheng, Arman Cohan, Xiangliang Zhang
2026	J	`jnl`	Driving Reaction Trajectories via Latent Flow Matching. CoRR Yili Shen, Xiangliang Zhang
2026	J	`jnl`	Emergent Social Intelligence Risks in Generative Multi-Agent Systems. CoRR Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V. Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang
2026	A*	`conf`	My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom. CHI Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Toby Jia-Jun Li, Xiangliang Zhang
2026	J	`jnl`	Position: General Alignment Has Hit a Ceiling; Edge Alignment Must Be Taken Seriously. CoRR Han Bao, Yue Huang, Xiaoda Wang, Zheyuan Zhang, Yujun Zhou, Carl Yang, Xiangliang Zhang, Yanfang Ye
2026	J	`jnl`	ProbeLLM: Automating Principled Diagnosis of LLM Failures. CoRR Yue Huang, Zhengzhe Jiang, Yuchen Ma, Yu Jiang, Xiangqi Wang, Yujun Zhou, Yuexing Hao, Kehan Guo, Pin-Yu Chen, Stefan Feuerriegel, Xiangliang Zhang
2026	—	`ed.`	Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, August 9-13, 2026 KDD (1) Srinivasan Parthasarathy, David F. Gleich, Xiangliang Zhang, Wee Hyong Tok, Faisal Farooq, Qi He, Ambuj K. Singh, Haixun Wang, Yan Liu
2026	A*	`conf`	RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions. AAAI Yanchi Ru, Yue Huang, Xiangliang Zhang
2026	J	`jnl`	RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty. CoRR Ziqian Zhang, Xingjian Hu, Yue Huang, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Zhenqiang Gong, Lichao Sun
2026	A*	`conf`	SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization. AAAI Yue Huang, Xiangqi Wang, Xiangliang Zhang
2026	J	`jnl`	Synthetic Interaction Data for Scalable Personalization in Large Language Models. CoRR Yuchen Ma, Yue Huang, Wenjie Wang, Xiaonan Luo, Xiangliang Zhang, Stefan Feuerriegel
2025	J	`jnl`	A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao
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	J	`jnl`	AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking. CoRR Xiangqi Wang, Yue Huang, Yanbo Wang, Xiaonan Luo, Kehan Guo, Yujun Zhou, Xiangliang Zhang
2025	A*	`conf`	Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond. IJCAI Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2025	J	`jnl`	Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond. CoRR Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
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	J	`jnl`	Better Datasets Start From RefineLab: Automatic Optimization for High-Quality Dataset Refinement. CoRR Xiaonan Luo, Yue Huang, Ping He, Xiangliang Zhang
2025	—	`conf`	Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. ACL (Findings) Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang
2025	J	`jnl`	Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. CoRR Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang
2025	J	`jnl`	Breaking Focus: Contextual Distraction Curse in Large Language Models. CoRR Yue Huang, Yanbo Wang, Zixiang Xu, Chujie Gao, Siyuan Wu, Jiayi Ye, Xiuying Chen, Pin-Yu Chen, Xiangliang Zhang
2025	J	`jnl`	Building a Foundational Guardrail for General Agentic Systems via Synthetic Data. CoRR Yue Huang, Hang Hua, Yujun Zhou, Pengcheng Jing, Manish Nagireddy, Inkit Padhi, Greta Dolcetti, Zhangchen Xu, Subhajit Chaudhury, Ambrish Rawat, Liubov Nedoshivina, Pin-Yu Chen, Prasanna Sattigeri, Xiangliang Zhang
2025	—	`conf`	CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP. ACL (1) Tianyu Yang, Lisen Dai, Xiangqi Wang, Minhao Cheng, Yapeng Tian, Xiangliang Zhang
2025	J	`jnl`	Causally-Enhanced Reinforcement Policy Optimization. CoRR Xiangqi Wang, Yue Huang, Yujun Zhou, Xiaonan Luo, Kehan Guo, Xiangliang Zhang
2025	J	`jnl`	ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions. CoRR Yue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2025	J	`jnl`	CoBA: Collusive Backdoor Attacks With Optimized Trigger to Federated Learning. IEEE Trans. Dependable Secur. Comput. Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Kai Chen, Yidong Li, Jiqiang Liu, Xiangliang Zhang
2025	—	`conf`	Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models. ACL (1) Zixiang Xu, Yanbo Wang, Yue Huang, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang
2025	J	`jnl`	Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models. CoRR Zixiang Xu, Yanbo Wang, Yue Huang, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang
2025	A*	`conf`	DataGen: Unified Synthetic Dataset Generation via Large Language Models. ICLR Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang
2025	—	`conf`	Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. EMNLP (Findings) Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang
2025	J	`jnl`	Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. CoRR Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang
2025	J	`jnl`	DyFlow: Dynamic Workflow Framework for Agentic Reasoning. CoRR Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen
2025	J	`jnl`	Evaluating Large Language Models in Scientific Discovery. CoRR Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan
2025	J	`jnl`	Evaluating and Mitigating Bias in AI-Based Medical Text Generation. CoRR Xiuying Chen, Tairan Wang, Juexiao Zhou, Zirui Song, Xin Gao, Xiangliang Zhang
2025	J	`jnl`	Evaluating and mitigating bias in AI-based medical text generation. Nat. Comput. Sci. Xiuying Chen, Tairan Wang, Juexiao Zhou, Zirui Song, Xin Gao, Xiangliang Zhang
2025	J	`jnl`	Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation. CoRR Yujun Zhou, Zhenwen Liang, Haolin Liu, Wenhao Yu, Kishan Panaganti, Linfeng Song, Dian Yu, Xiangliang Zhang, Haitao Mi, Dong Yu
2025	J	`jnl`	Exploring Multi-Temperature Strategies for Token- and Rollout-Level Control in RLVR. CoRR Haomin Zhuang, Yujun Zhou, Taicheng Guo, Yue Huang, Fangxu Liu, Kai Song, Xiangliang Zhang
2025	J	`jnl`	Fair Online Influence Maximization. Trans. Mach. Learn. Res. Xiangqi Wang, Shaokun Zhang, Jose Efraim Aguilar Escamill, Qingyun Wu, Xiangliang Zhang, Jian Kang, Huazheng Wang
2025	J	`jnl`	FairReward: Towards Fair Reward Distribution Using Equity Theory in Blockchain-Based Federated Learning. IEEE Trans. Dependable Secur. Comput. Guorong Chen, Chao Li, Wei Wang, Li Duan, Bin Wang, Zhen Han, Xiangliang Zhang
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`	Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking. EMNLP Tianle Gu, Zongqi Wang, Kexin Huang, Yuanqi Yao, Xiangliang Zhang, Yujiu Yang, Xiuying Chen
2025	J	`jnl`	Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking. CoRR Tianle Gu, Zongqi Wang, Kexin Huang, Yuanqi Yao, Xiangliang Zhang, Yujiu Yang, Xiuying Chen
2025	A	`conf`	Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings. CIKM Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang
2025	A*	`conf`	Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. ICLR Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang
2025	J	`jnl`	Knowledge Distillation on Graphs: A Survey. ACM Comput. Surv. Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla
2025	—	`conf`	Leveraging Hybrid Representations for Robust Molecular Property Prediction in Low-Data Regimes. ICDM (Workshops) Alex Liu, Haomin Zhuang, Olaf Wiest, Ying Cheng, Xiangliang Zhang
2025	J	`jnl`	MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training. CoRR Taicheng Guo, Hai Wang, Chaochun Liu, Mohsen Golalikhani, Xin Chen, Xiangliang Zhang, Chandan K. Reddy
2025	J	`jnl`	My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom. CoRR Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Toby Jia-Jun Li, Xiangliang Zhang
2025	J	`jnl`	New Paradigm for Evaluating Scholar Summaries: A Facet-aware Metric and a Meta-evaluation Benchmark. ACM Trans. Inf. Syst. Tairan Wang, Xiuying Chen, Qingqing Zhu, Taicheng Guo, Shen Gao, Zhiyong Lu, Xin Gao, Xiangliang Zhang
2025	J	`jnl`	On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025	J	`jnl`	Position: We Need An Adaptive Interpretation of Helpful, Honest, and Harmless Principles. CoRR Yue Huang, Chujie Gao, Yujun Zhou, Kehan Guo, Xiangqi Wang, Or Cohen-Sasson, Max Lamparth, Xiangliang Zhang
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	A	`conf`	Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions. CIKM Kehan Guo, Zhen Liu, Zhichun Guo, Bozhao Nan, Olexandr Isayev, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2025	B	`conf`	Quasiparticle Interference Kernel Extraction with Variational Autoencoders via Latent Alignment. IEEE Big Data Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, Xiangliang Zhang
2025	—	`conf`	Quest2DataAgent: Automating End-to-End Scientific Data Collection. EMNLP (System Demonstrations) Tianyu Yang, Yuhan Liu, Sobin Alosious, Ethan A. Brown, Jason R. Rohr, Tengfei Luo, Xiangliang Zhang
2025	B	`conf`	ReactionTeam: Teaming Experts for Divergent Thinking Beyond Typical Reaction Patterns. IEEE Big Data Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Olaf Wiest, Nitesh V. Chawla, Xiangliang Zhang
2025	—	`conf`	SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL (1) Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang
2025	J	`jnl`	SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization. CoRR Yue Huang, Xiangqi Wang, Xiangliang Zhang
2025	J	`jnl`	Seeing the Invisible: Machine learning-Based QPI Kernel Extraction via Latent Alignment. CoRR Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, Xiangliang Zhang
2025	J	`jnl`	SenWave: A Fine-Grained Multi-Language Sentiment Analysis Dataset Sourced from COVID-19 Tweets. CoRR Qiang Yang, Xiuying Chen, Changsheng Ma, Rui Yin, Xin Gao, Xiangliang Zhang
2025	—	`conf`	Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models. ACL (1) Lang Gao, Jiahui Geng, Xiangliang Zhang, Preslav Nakov, Xiuying Chen
2025	J	`jnl`	SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models. CoRR Zixiang Xu, Yanbo Wang, Yue Huang, Jiayi Ye, Haomin Zhuang, Zirui Song, Lang Gao, Chenxi Wang, Zhaorun Chen, Yujun Zhou, Sixian Li, Wang Pan, Yue Zhao, Jieyu Zhao, Xiangliang Zhang, Xiuying Chen
2025	A	`conf`	Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices. CIKM Yue Huang, Canyu Chen, Lu Cheng, Bhavya Kailkhura, Nitesh V. Chawla, Xiangliang Zhang
2025	J	`jnl`	Special topic on cloud-edge collaboration for on-device recommendation. Sci. China Inf. Sci. Hongzhi Yin, Bin Cui, Xiaofang Zhou, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang
2025	—	`conf`	TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models. NAACL (System Demonstrations) Yanbo Wang, Jiayi Ye, Siyuan Wu, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao, Xiangliang Zhang
2025	J	`jnl`	TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding. CoRR Xiaobo Xing, Wei Yuan, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang, Hongzhi Yin
2025	J	`jnl`	The Role of Computing Resources in Publishing Foundation Model Research. CoRR Yuexing Hao, Yue Huang, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Paul Pu Liang, Yue Zhao, Lichao Sun, Saleh Kalantari, Xiangliang Zhang, Marzyeh Ghassemi
2025	A	`conf`	Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models. CIKM Chujie Gao, Yue Huang, Xiangqi Wang, Siyuan Wu, Nitesh V. Chawla, Xiangliang Zhang
2025	J	`jnl`	Toward Generalized Urban Computing: Pretraining a Spatial-Temporal Model for Diverse Urban Tasks. IEEE Trans. Mob. Comput. Yingqian Zhang, Chao Li, Shibo He, Xiangliang Zhang, Jiming Chen
2025	A	`conf`	Towards Fair Graph Learning without Demographic Information. AISTATS Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang
2025	A	`conf`	Towards Few-shot Chemical Reaction Outcome Prediction. CIKM Yili Shen, Yijun Tian, Cheng-Wei Ju, Olaf Wiest, Xiangliang Zhang
2025	A*	`conf`	UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs. WWW Yi Gui, Yao Wan, Zhen Li, Zhongyi Zhang, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang
2025	J	`jnl`	UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs. CoRR Yi Gui, Zhen Li, Zhongyi Zhang, Yao Wan, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang
2025	A*	`conf`	Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning. AAAI Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang
2025	B	`conf`	Unveiling the Dynamics of Multi-Dimensional Filter Bubbles in News Recommendation. IEEE Big Data Manal A. Alshehri, Xiangliang Zhang
2025	A*	`conf`	WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. WWW Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Bohua Chen, Yi Su, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang
2025	—	`conf`	WildInsight: a Chatbot for Wildlife Conservation Research. ECML/PKDD (10) Anna Sokol, Xiangliang Zhang, Nitesh V. Chawla
2025	A	`conf`	WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights. WSDM Xiangqi Wang, Tianyu Yang, Jason R. Rohr, Brett Scheffers, Nitesh V. Chawla, Xiangliang Zhang
2024	J	`jnl`	1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? CoRR Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
2024	A*	`conf`	1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
2024	Misc	`conf`	A Property-Guided Diffusion Model For Generating Molecular Graphs. ICASSP Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang
2024	J	`jnl`	Advanced Framework for Animal Sound Classification With Features Optimization. CoRR Qiang Yang, Xiuying Chen, Changsheng Ma, Carlos M. Duarte, Xiangliang Zhang
2024	A	`conf`	Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning. CIKM Xiaobao Huang, Mihir Surve, Yuhan Liu, Tengfei Luo, Olaf Wiest, Xiangliang Zhang, Nitesh V. Chawla
2024	—	`conf`	Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. WWW (Companion Volume) Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
2024	J	`jnl`	Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective. CoRR Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
2024	A*	`conf`	Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data. ICML Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang
2024	J	`jnl`	AutoBench-V: Can Large Vision-Language Models Benchmark Themselves? CoRR Han Bao, Yue Huang, Yanbo Wang, Jiayi Ye, Xiangqi Wang, Xiuying Chen, Mohamed Elhoseiny, Xiangliang Zhang
2024	A*	`conf`	Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators. NeurIPS Haoming Wang, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai
2024	J	`jnl`	CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP. CoRR Tianyu Yang, Lisen Dai, Zheyuan Liu, Xiangqi Wang, Meng Jiang, Yapeng Tian, Xiangliang Zhang
2024	A*	`conf`	Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation. NeurIPS Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2024	J	`jnl`	Causality-Based Fair Multiple Decision by Response Functions. ACM Trans. Knowl. Discov. Data Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi
2024	A*	`conf`	Cross-Context Backdoor Attacks against Graph Prompt Learning. KDD Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang
2024	J	`jnl`	Cross-Context Backdoor Attacks against Graph Prompt Learning. CoRR Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang
2024	A*	`conf`	Defending Jailbreak Prompts via In-Context Adversarial Game. EMNLP Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
2024	J	`jnl`	Defending Jailbreak Prompts via In-Context Adversarial Game. CoRR Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
2024	A	`conf`	FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition. CIKM Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang
2024	J	`jnl`	FedTA: Federated Worthy Task Assignment for Crowd Workers. IEEE Trans. Dependable Secur. Comput. Xiangping Kang, Guoxian Yu, Lanju Kong, Carlotta Domeniconi, Xiangliang Zhang, Qingzhong Li
2024	A*	`conf`	Flexible and Adaptable Summarization via Expertise Separation. SIGIR Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang
2024	J	`jnl`	Flexible and Adaptable Summarization via Expertise Separation. CoRR Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang
2024	J	`jnl`	GTCAlign: Global Topology Consistency-Based Graph Alignment. IEEE Trans. Knowl. Data Eng. Chenxu Wang, Peijing Jiang, Xiangliang Zhang, Pinghui Wang, Tao Qin, Xiaohong Guan
2024	J	`jnl`	Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
2024	A*	`conf`	HonestLLM: Toward an Honest and Helpful Large Language Model. NeurIPS Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang
2024	J	`jnl`	Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification. CoRR Zhenwen Liang, Ye Liu, Tong Niu, Xiangliang Zhang, Yingbo Zhou, Semih Yavuz
2024	J	`jnl`	Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. CoRR Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang
2024	J	`jnl`	Knowledge Graph Enhanced Language Agents for Recommendation. CoRR Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, Chandan K. Reddy
2024	J	`jnl`	LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs. CoRR Yujun Zhou, Jingdong Yang, Kehan Guo, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang
2024	A*	`conf`	Large Language Model Based Multi-agents: A Survey of Progress and Challenges. IJCAI Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2024	J	`jnl`	Large Language Model based Multi-Agents: A Survey of Progress and Challenges. CoRR Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2024	A*	`conf`	LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions. KDD Ziyi Kou, Shichao Pei, Xiangliang Zhang
2024	A*	`conf`	Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning. USENIX Security Symposium Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Yongsheng Zhu, Guangquan Xu, Jiqiang Liu, Xiangliang Zhang
2024	J	`jnl`	Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning. CoRR Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Yongsheng Zhu, Guangquan Xu, Jiqiang Liu, Xiangliang Zhang
2024	J	`jnl`	Manipulating Predictions over Discrete Inputs in Machine Teaching. CoRR Xiaodong Wu, Yufei Han, Hayssam Dahrouj, Jianbing Ni, Zhenwen Liang, Xiangliang Zhang
2024	J	`jnl`	MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions. CoRR Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu
2024	—	`conf`	MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning. LREC/COLING Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu
2024	J	`jnl`	MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. CoRR Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla
2024	J	`jnl`	Multiple clusterings: Recent advances and perspectives. Comput. Sci. Rev. Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2024	J	`jnl`	ObscurePrompt: Jailbreaking Large Language Models via Obscure Input. CoRR Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Xiangliang Zhang
2024	J	`jnl`	Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
2024	J	`jnl`	Political-LLM: Large Language Models in Political Science. CoRR Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024	A*	`conf`	Position: TrustLLM: Trustworthiness in Large Language Models. ICML Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024	J	`jnl`	Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. CoRR Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun
2024	A*	`conf`	RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. EMNLP Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang
2024	J	`jnl`	Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark. CoRR Xiuying Chen, Tairan Wang, Qingqing Zhu, Taicheng Guo, Shen Gao, Zhiyong Lu, Xin Gao, Xiangliang Zhang
2024	—	`conf`	SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering. EMNLP (Findings) Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang
2024	J	`jnl`	SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering. CoRR Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang
2024	—	`conf`	SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark. ACL (Short Papers) Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
2024	J	`jnl`	SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark. CoRR Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
2024	J	`jnl`	ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering. CoRR Xiuying Chen, Tairan Wang, Taicheng Guo, Kehan Guo, Juexiao Zhou, Haoyang Li, Mingchen Zhuge, Jürgen Schmidhuber, Xin Gao, Xiangliang Zhang
2024	J	`jnl`	Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models. CoRR Lang Gao, Xiangliang Zhang, Preslav Nakov, Xiuying Chen
2024	J	`jnl`	Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? CoRR Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang
2024	J	`jnl`	The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. CoRR Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun
2024	Misc	`conf`	Think as People: Context-Driven Multi-Image News Captioning with Adaptive Dual Attention. ICASSP Qiang Yang, Xiaodong Wu, Xiuying Chen, Xin Gao, Xiangliang Zhang
2024	J	`jnl`	TrustLLM: Trustworthiness in Large Language Models. CoRR Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024	J	`jnl`	UGMAE: A Unified Framework for Graph Masked Autoencoders. CoRR Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2024	J	`jnl`	UOE: Unlearning One Expert Is Enough For Mixture-of-experts LLMS. CoRR Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang
2024	A*	`conf`	Uncertainty-Aware Yield Prediction with Multimodal Molecular Features. AAAI Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang
2024	J	`jnl`	UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. CoRR Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun
2024	J	`jnl`	VGE: Gene-Disease Association by Variational Graph Embedding. Int. J. Crowd Sci. Peng Han, Xiangliang Zhang
2024	J	`jnl`	Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization. CoRR Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang
2024	J	`jnl`	Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization. IEEE ACM Trans. Audio Speech Lang. Process. Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang
2024	J	`jnl`	XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More. CoRR Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang
2024	B	`conf`	Zero-Shot Relational Learning for Multimodal Knowledge Graphs. IEEE Big Data Rui Cai, Shichao Pei, Xiangliang Zhang
2024	J	`jnl`	Zero-Shot Relational Learning for Multimodal Knowledge Graphs. CoRR Rui Cai, Shichao Pei, Xiangliang Zhang
2023	J	`jnl`	A Diversified Attention Model for Interpretable Multiple Clusterings. IEEE Trans. Knowl. Data Eng. Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang
2023	—	`conf`	A Fundamental Model with Stable Interpretability for Traffic Forecasting. GeoPrivacy@SIGSPATIAL Xiaochuan Gou, Lijie Hu, Di Wang, Xiangliang Zhang
2023	J	`jnl`	A Generative Deep Learning Approach for Shape Recognition of Arbitrary Objects from Phaseless Acoustic Scattering Data. Adv. Intell. Syst. Waqas W. Ahmed, Mohamed Farhat, Pai-Yen Chen, Xiangliang Zhang, Ying Wu
2023	A*	`conf`	A Topic-aware Summarization Framework with Different Modal Side Information. SIGIR Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang
2023	J	`jnl`	A Topic-aware Summarization Framework with Different Modal Side Information. CoRR Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang
2023	J	`jnl`	CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification. IEEE Trans. Medical Imaging Hongxiao Wang, Gang Huang, Zhuo Zhao, Liang Cheng, Anna Juncker-Jensen, Mate Levente Nagy, Xin Lu, Xiangliang Zhang, Danny Z. Chen
2023	A*	`conf`	Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. IJCAI Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang
2023	J	`jnl`	Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He
2023	—	`conf`	Compositional Mathematical Encoding for Math Word Problems. ACL (Findings) Zhenwen Liang, Jipeng Zhang, Kehan Guo, Xiaodong Wu, Jie Shao, Xiangliang Zhang
2023	A*	`conf`	Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. KDD Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
2023	A*	`conf`	Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. AAAI Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang
2023	—	`conf`	Don't be Blind to Questions: Question-Oriented Math Word Problem Solving. IJCNLP (1) Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
2023	J	`jnl`	Dynamic Set Similarity Join: An Update Log Based Approach. IEEE Trans. Knowl. Data Eng. Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang, Rui Mao, Xiangliang Zhang
2023	J	`jnl`	Efficient locality-sensitive hashing over high-dimensional streaming data. Neural Comput. Appl. Hao Wang, Chengcheng Yang, Xiangliang Zhang, Xin Gao
2023	A*	`conf`	Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. KDD Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang
2023	—	`conf`	Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation. ACL (Findings) Shichao Pei, Qiannan Zhang, Xiangliang Zhang
2023	A*	`conf`	Few-shot News Recommendation via Cross-lingual Transfer. WWW Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang
2023	J	`jnl`	Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order. CoRR Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan
2023	J	`jnl`	Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order. ACM Trans. Inf. Syst. Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan
2023	B	`conf`	Forgetting User Preference in Recommendation Systems with Label-Flipping. IEEE Big Data Manal A. Alshehri, Xiangliang Zhang
2023	A*	`conf`	Generalizing Math Word Problem Solvers via Solution Diversification. AAAI Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
2023	A*	`conf`	Graph-based Molecular Representation Learning. IJCAI Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
2023	J	`jnl`	HGATE: Heterogeneous Graph Attention Auto-Encoders. IEEE Trans. Knowl. Data Eng. Wei Wang, Xiaoyang Suo, Xiangyu Wei, Bin Wang, Hao Wang, Hong-Ning Dai, Xiangliang Zhang
2023	—	`conf`	Improving the Robustness of Summarization Systems with Dual Augmentation. ACL (1) Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
2023	J	`jnl`	Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
2023	A	`conf`	Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. WSDM Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
2023	J	`jnl`	Knowledge Distillation on Graphs: A Survey. CoRR Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla
2023	A*	`conf`	Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. ICLR Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2023	A*	`conf`	Learning towards Selective Data Augmentation for Dialogue Generation. AAAI Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan
2023	J	`jnl`	Learning towards Selective Data Augmentation for Dialogue Generation. CoRR Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan
2023	A*	`conf`	Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. EMNLP Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
2023	J	`jnl`	Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. CoRR Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
2023	A*	`conf`	LogicRec: Recommendation with Users' Logical Requirements. SIGIR Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner
2023	J	`jnl`	LogicRec: Recommendation with Users' Logical Requirements. CoRR Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner
2023	J	`jnl`	MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning. CoRR Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu
2023	A	`conf`	Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. CIKM Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang
2023	J	`jnl`	Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout. CoRR Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2023	Misc	`conf`	Neural Multi-hop Logical Query Answering with Concept-Level Answers. ISWC Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf
2023	A*	`conf`	Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning. AAAI Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Jiqiang Liu, Xiangliang Zhang
2023	J	`jnl`	Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling. IEEE Trans. Neural Networks Learn. Syst. Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
2023	J	`jnl`	Secure Crowdsensed Data Trading Based on Blockchain. IEEE Trans. Mob. Comput. Baoyi An, Mingjun Xiao, An Liu, Yun Xu, Xiangliang Zhang, Qing Li
2023	J	`jnl`	Set-Aware Entity Synonym Discovery With Flexible Receptive Fields. IEEE Trans. Knowl. Data Eng. Shichao Pei, Lu Yu, Xiangliang Zhang
2023	J	`jnl`	Spatial-temporal fusion graph framework for trajectory similarity computation. World Wide Web (WWW) Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang
2023	J	`jnl`	Spatiotemporal data management and analytics for recommender systems. World Wide Web (WWW) Shuo Shang, Xiangliang Zhang, Panos Kalnis
2023	A*	`conf`	T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). ICDE Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang
2023	A	`conf`	Telecommunication Traffic Forecasting via Multi-task Learning. WSDM Xiaochuan Gou, Xiangliang Zhang
2023	A*	`conf`	Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. AAAI Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang
2023	J	`jnl`	Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. Lin Xiao, Pengyu Xu, Mingyang Song, Huafeng Liu, Liping Jing, Xiangliang Zhang
2023	A*	`conf`	UniMath: A Foundational and Multimodal Mathematical Reasoner. EMNLP Zhenwen Liang, Tianyu Yang, Jipeng Zhang, Xiangliang Zhang
2023	J	`jnl`	Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2023	A*	`conf`	What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks. NeurIPS Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2023	J	`jnl`	What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks. CoRR Taicheng Guo, Kehan Guo, Bozhao Nan, Zhengwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2022	A	`conf`	A Biased Sampling Method for Imbalanced Personalized Ranking. CIKM Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang
2022	J	`jnl`	Accurately Estimating User Cardinalities and Detecting Super Spreaders Over Time. IEEE Trans. Knowl. Data Eng. Peng Jia, Pinghui Wang, Yuchao Zhang, Xiangliang Zhang, Jing Tao, Jianwei Ding, Xiaohong Guan, Don Towsley
2022	J	`jnl`	Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He
2022	B	`conf`	AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. IEEE Big Data Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang
2022	J	`jnl`	AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. CoRR Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang
2022	A*	`conf`	Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. EMNLP Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
2022	J	`jnl`	Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. CoRR Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
2022	J	`jnl`	Approximately Counting Butterflies in Large Bipartite Graph Streams. IEEE Trans. Knowl. Data Eng. Rundong Li, Pinghui Wang, Peng Jia, Xiangliang Zhang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan
2022	B	`conf`	ArMATH: a Dataset for Solving Arabic Math Word Problems. LREC Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang
2022	A*	`conf`	ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture. EMNLP Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Xiangliang Zhang, Kenneth Church, Mohamed Elhoseiny
2022	J	`jnl`	ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture. CoRR Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Xiangliang Zhang, Kenneth Ward Church, Mohamed Elhoseiny
2022	J	`jnl`	CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. IEEE Trans. Knowl. Data Eng. Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang
2022	A	`conf`	DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model. CIKM Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang
2022	A*	`conf`	Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. KDD Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang
2022	J	`jnl`	DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang
2022	J	`jnl`	Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah
2022	J	`jnl`	FALCON: Sound and Complete Neural Semantic Entailment over ALC Ontologies. CoRR Zhenwei Tang, Tilman Hinnerichs, Xi Peng, Xiangliang Zhang, Robert Hoehndorf
2022	J	`jnl`	Fast-adapting and privacy-preserving federated recommender system. VLDB J. Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
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	A*	`conf`	Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. KDD Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
2022	J	`jnl`	Flexible Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2022	A*	`conf`	GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
2022	J	`jnl`	Generalizing Math Word Problem Solvers via Solution Diversification. CoRR Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
2022	A	`conf`	Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation. CIKM Manal A. Alshehri, Xiangliang Zhang
2022	A*	`conf`	Graph Alignment with Noisy Supervision. WWW Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang
2022	A	`conf`	HG-Meta: Graph Meta-learning over Heterogeneous Graphs. SDM Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
2022	J	`jnl`	Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. ACM Trans. Inf. Syst. Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
2022	J	`jnl`	Improving Few-shot News Recommendation via Cross-lingual Transfer. CoRR Taicheng Guo, Lu Yu, Xiangliang Zhang
2022	A	`conf`	Interpretable Relation Learning on Heterogeneous Graphs. WSDM Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang
2022	J	`jnl`	Joint Abductive and Inductive Neural Logical Reasoning. CoRR Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf
2022	A	`conf`	Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
2022	—	`conf`	MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving. NAACL-HLT (Findings) Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
2022	J	`jnl`	Multiview Multi-Instance Multilabel Active Learning. IEEE Trans. Neural Networks Learn. Syst. Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2022	J	`jnl`	NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2022	J	`jnl`	PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. IEEE Trans. Pattern Anal. Mach. Intell. Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
2022	J	`jnl`	Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification. CoRR Lin Xiao, Pengyu Xu, Liping Jing, Xiangliang Zhang
2022	J	`jnl`	Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang
2022	A*	`conf`	Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022	J	`jnl`	Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022	B	`conf`	QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting. IEEE Big Data Xiaochuan Gou, Peng Han, Xiangliang Zhang
2022	J	`jnl`	Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. IEEE Trans. Knowl. Data Eng. An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou
2022	A*	`conf`	SAIL: Self-Augmented Graph Contrastive Learning. AAAI Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
2022	A*	`conf`	Scientific Paper Extractive Summarization Enhanced by Citation Graphs. EMNLP Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang
2022	J	`jnl`	Scientific Paper Extractive Summarization Enhanced by Citation Graphs. CoRR Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang
2022	J	`jnl`	Semantic guide for semi-supervised few-shot multi-label node classification. Inf. Sci. Lin Xiao, Pengyu Xu, Liping Jing, Uchenna Akujuobi, Xiangliang Zhang
2022	A*	`conf`	Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract). ICDE Shichao Pei, Lu Yu, Xiangliang Zhang
2022	J	`jnl`	T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation. IEEE Trans. Knowl. Data Eng. Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang
2022	A*	`conf`	Target-aware Abstractive Related Work Generation with Contrastive Learning. SIGIR Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang
2022	J	`jnl`	Target-aware Abstractive Related Work Generation with Contrastive Learning. CoRR Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang
2022	J	`jnl`	Tissue Specificity Based Isoform Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang
2022	J	`jnl`	Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs. CoRR Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang
2022	A*	`conf`	Towards Improving Faithfulness in Abstractive Summarization. NeurIPS Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang
2022	J	`jnl`	Towards Improving Faithfulness in Abstractive Summarization. CoRR Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang
2022	A*	`conf`	Towards Understanding the Robustness Against Evasion Attack on Categorical Data. ICLR Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang
2022	A*	`conf`	Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). ICDE Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2021	A*	`conf`	A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. KDD Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang
2021	J	`jnl`	A prediction and imputation method for marine animal movement data. PeerJ Comput. Sci. Xinqing Li, Tanguy Tresor Sindihebura, Lei Zhou, Carlos M. Duarte, Daniel P. Costa, Mark A. Hindell, Clive McMahon, Mônica M. C. Muelbert, Xiangliang Zhang, Chengbin Peng
2021	J	`jnl`	Active Multilabel Crowd Consensus. IEEE Trans. Neural Networks Learn. Syst. Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021	J	`jnl`	AppQ: Warm-starting App Recommendation Based on View Graphs. CoRR Dan Su, Jiqiang Liu, Sencun Zhu, Xiaoyang Wang, Wei Wang, Xiangliang Zhang
2021	—	`conf`	Attack Transferability Characterization for Adversarially Robust Multi-label Classification. ECML/PKDD (3) Zhuo Yang, Yufei Han, Xiangliang Zhang
2021	J	`jnl`	Attack Transferability Characterization for Adversarially Robust Multi-label Classification. CoRR Zhuo Yang, Yufei Han, Xiangliang Zhang
2021	J	`jnl`	CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang
2021	—	`conf`	Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation. ACL/IJCNLP (1) Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, Rui Yan
2021	A*	`conf`	Characterizing the Evasion Attackability of Multi-label Classifiers. AAAI Zhuo Yang, Yufei Han, Xiangliang Zhang
2021	J	`jnl`	Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He
2021	J	`jnl`	Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. Briefings Bioinform. Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
2021	J	`jnl`	Cross-Species Protein Function Prediction with Asynchronous-Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu
2021	J	`jnl`	Cross-modal Zero-shot Hashing by Label Attributes Embedding. CoRR Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
2021	J	`jnl`	CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. ACM Trans. Knowl. Discov. Data Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
2021	J	`jnl`	Crowdsourcing with Meta-Workers: A New Way to Save the Budget. CoRR Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
2021	A*	`conf`	DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. ICDE Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng
2021	J	`jnl`	DMIL-IsoFun: predicting isoform function using deep multi-instance learning. Bioinform. Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, Maozu Guo
2021	J	`jnl`	Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication. CoRR Yingquan Li, Zhenwen Liang, Ibrahima N'Doye, Xiangliang Zhang, Mohamed-Slim Alouini, Taous-Meriem Laleg-Kirati
2021	—	`conf`	Data-Efficient Language Shaped Few-shot Image Classification. EMNLP (Findings) Zhenwen Liang, Xiangliang Zhang
2021	A	`conf`	Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. SDM Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2021	A*	`conf`	Does Head Label Help for Long-Tailed Multi-Label Text Classification. AAAI Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song
2021	J	`jnl`	Does Head Label Help for Long-Tailed Multi-Label Text Classification. CoRR Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song
2021	—	`conf`	FARF: A Fair and Adaptive Random Forests Classifier. PAKDD (2) Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
2021	J	`jnl`	FARF: A Fair and Adaptive Random Forests Classifier. CoRR Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
2021	J	`jnl`	FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. CoRR Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021	J	`jnl`	FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021	J	`jnl`	Fast-adapting and Privacy-preserving Federated Recommender System. CoRR Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2021	A	`conf`	GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation. CIKM Changsheng Ma, Xiangliang Zhang
2021	A*	`conf`	Graph Embedding for Recommendation against Attribute Inference Attacks. WWW Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
2021	J	`jnl`	Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
2021	J	`jnl`	Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation. CoRR Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
2021	J	`jnl`	Imbalance deep multi-instance learning for predicting isoform-isoform interactions. Int. J. Intell. Syst. Guoxian Yu, Jie Zeng, Jun Wang, Hong Zhang, Xiangliang Zhang, Maozu Guo
2021	J	`jnl`	Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021	J	`jnl`	IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. J. Comput. Biol. Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
2021	J	`jnl`	MWP-BERT: A Strong Baseline for Math Word Problems. CoRR Zhenwen Liang, Jipeng Zhang, Jie Shao, Xiangliang Zhang
2021	J	`jnl`	Meta Cross-Modal Hashing on Long-Tailed Data. CoRR Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2021	J	`jnl`	Multiple clusterings of heterogeneous information networks. Mach. Learn. Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021	J	`jnl`	Noise-robust Deep Cross-Modal Hashing. Inf. Sci. Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang
2021	J	`jnl`	Open-Set Crowdsourcing using Multiple-Source Transfer Learning. CoRR Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
2021	J	`jnl`	Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST. CoRR Hind Alamro, Manal Alshehri, Basma Alharbi, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang
2021	A*	`conf`	PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. ICML Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik
2021	J	`jnl`	Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. CoRR Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
2021	J	`jnl`	Scientific Dataset Discovery via Topic-level Recommendation. CoRR Basmah Altaf, Shichao Pei, Xiangliang Zhang
2021	A*	`conf`	Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2021	A*	`conf`	Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021	J	`jnl`	Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. CoRR Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021	A*	`conf`	Socially-Aware Self-Supervised Tri-Training for Recommendation. KDD Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021	J	`jnl`	Socially-Aware Self-Supervised Tri-Training for Recommendation. CoRR Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021	A*	`conf`	Solving Math Word Problems with Teacher Supervision. IJCAI Zhenwen Liang, Xiangliang Zhang
2021	J	`jnl`	Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. CoRR Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2020	J	`jnl`	ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset. CoRR Basma Alharbi, Hind Alamro, Manal Alshehri, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang
2020	J	`jnl`	Addressing Class-Imbalance Problem in Personalized Ranking. CoRR Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang
2020	J	`jnl`	Air Writing via Receiver Array-Based Ultrasonic Source Localization. IEEE Trans. Instrum. Meas. Hui Chen, Tarig Ballal, Ali Hussein Muqaibel, Xiangliang Zhang, Tareq Y. Al-Naffouri
2020	A*	`conf`	Attackability Characterization of Adversarial Evasion Attack on Discrete Data. KDD Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang
2020	A	`conf`	Attention-Aware Answers of the Crowd. SDM Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020	J	`jnl`	Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Inf. Fusion Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
2020	J	`jnl`	CRSAL: Conversational Recommender Systems with Adversarial Learning. ACM Trans. Inf. Syst. Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang
2020	J	`jnl`	Characterizing the Evasion Attackability of Multi-label Classifiers. CoRR Zhuo Yang, Yufei Han, Xiangliang Zhang
2020	—	`conf`	Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. BIBM Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang
2020	—	`conf`	Decentralized Embedding Framework for Large-Scale Networks. DASFAA (3) Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou
2020	A*	`conf`	Deep Incomplete Multi-View Multiple Clusterings. ICDM Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020	J	`jnl`	Deep Incomplete Multi-View Multiple Clusterings. CoRR Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020	J	`jnl`	Differentiating isoform functions with collaborative matrix factorization. Bioinform. Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
2020	J	`jnl`	Efficient long-distance relation extraction with DG-SpanBERT. CoRR Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny, Xiangliang Zhang
2020	J	`jnl`	Gaussian mixture embedding of multiple node roles in networks. World Wide Web Yujun Chen, Juhua Pu, Xingwu Liu, Xiangliang Zhang
2020	J	`jnl`	GraPASA: Parametric graph embedding via siamese architecture. Inf. Sci. Yujun Chen, Ke Sun, Juhua Pu, Zhang Xiong, Xiangliang Zhang
2020	J	`jnl`	Graph Factorization Machines for Cross-Domain Recommendation. CoRR Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He
2020	J	`jnl`	Guest Editorial: Special issue on "Application of artificial intelligence in health research". Health Inf. Sci. Syst. Siuly Siuly, Xiangliang Zhang
2020	—	`conf`	Isoform-Disease Association Prediction by Data Fusion. ISBRA Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu
2020	J	`jnl`	Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis
2020	—	`conf`	Learning Short-Term Differences and Long-Term Dependencies for Entity Alignment. ISWC (1) Jia Chen, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao, Zhigang Chen, Xiangliang Zhang
2020	—	`ed.`	Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I ML4CS (1) Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang
2020	—	`ed.`	Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part II ML4CS (2) Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang
2020	—	`ed.`	Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part III ML4CS (3) Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang
2020	A*	`conf`	Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He
2020	A*	`conf`	Multi-View Multiple Clusterings Using Deep Matrix Factorization. AAAI Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020	J	`jnl`	Multi-label zero-shot learning with graph convolutional networks. Neural Networks Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang
2020	A*	`conf`	Multi-modal Network Representation Learning. KDD Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla
2020	A*	`conf`	Multi-typed Objects Multi-view Multi-instance Multi-label Learning. ICDM Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020	J	`jnl`	Multi-typed Objects Multi-view Multi-instance Multi-label Learning. CoRR Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020	J	`jnl`	PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. CoRR Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik
2020	A*	`conf`	Partial Multi-label Learning using Label Compression. ICDM Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020	J	`jnl`	Personalized Geographical Influence Modeling for POI Recommendation. IEEE Intell. Syst. Yanan Zhang, Guanfeng Liu, An Liu, Yifan Zhang, Zhixu Li, Xiangliang Zhang, Qing Li
2020	J	`jnl`	Predicting functions of maize proteins using graph convolutional network. BMC Bioinform. Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
2020	J	`jnl`	Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem. IEEE Trans. Mob. Comput. Xing Liu, Jiqiang Liu, Sencun Zhu, Wei Wang, Xiangliang Zhang
2020	A*	`conf`	REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs. KDD Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang
2020	A	`conf`	Recurrent Attention Walk for Semi-supervised Classification. WSDM Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang
2020	J	`jnl`	Risk Convergence of Centered Kernel Ridge Regression With Large Dimensional Data. IEEE Trans. Signal Process. Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
2020	Misc	`conf`	Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. ICASSP Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
2020	A*	`conf`	Robust Federated Learning via Collaborative Machine Teaching. AAAI Yufei Han, Xiangliang Zhang
2020	J	`jnl`	Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2020	J	`jnl`	Self-supervised Smoothing Graph Neural Networks. CoRR Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
2020	J	`jnl`	SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic. CoRR Qiang Yang, Hind Alamro, Somayah Albaradei, Adil Salhi, Xiaoting Lv, Changsheng Ma, Manal Alshehri, Inji Jaber, Faroug Tifratene, Wei Wang, Takashi Gojobori, Carlos M. Duarte, Xin Gao, Xiangliang Zhang
2020	A*	`conf`	Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. NeurIPS Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang
2020	J	`jnl`	Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. CoRR Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang
2020	A*	`conf`	Weakly-Supervised Multi-view Multi-instance Multi-label Learning. IJCAI Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019	—	`conf`	A Novel Framework for Node/Edge Attributed Graph Embedding. PAKDD (3) Guolei Sun, Xiangliang Zhang
2019	J	`jnl`	A novel hybrid publication recommendation system using compound information. World Wide Web Qiang Yang, Zhixu Li, An Liu, Guanfeng Liu, Lei Zhao, Xiangliang Zhang, Min Zhang, Xiaofang Zhou
2019	A*	`conf`	AMENDER: An Attentive and Aggregate Multi-layered Network for Dataset Recommendation. ICDM Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang
2019	J	`jnl`	Active Multi-Label Crowd Consensus. CoRR Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang
2019	A*	`conf`	ActiveHNE: Active Heterogeneous Network Embedding. IJCAI Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
2019	J	`jnl`	ActiveHNE: Active Heterogeneous Network Embedding. CoRR Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
2019	J	`jnl`	Attention-Aware Answers of the Crowd. CoRR Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019	A	`conf`	Co-Embedding Attributed Networks. WSDM Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang
2019	A*	`conf`	Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. ICDM Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang
2019	J	`jnl`	Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification. CoRR Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang
2019	J	`jnl`	Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions. IEEE Access Wei Wang, Meichen Zhao, Zhenzhen Gao, Guangquan Xu, Hequn Xian, YuanYuan Li, Xiangliang Zhang
2019	A*	`conf`	Cross-Modal Zero-Shot Hashing. ICDM Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019	J	`jnl`	Cross-modal Zero-shot Hashing. CoRR Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019	—	`conf`	DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. BIBM Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang
2019	A*	`conf`	Dataset Recommendation via Variational Graph Autoencoder. ICDM Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang
2019	—	`conf`	DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network. BIBM Guangjie Zhou, Jun Wang, Xiangliang Zhang, Guoxian Yu
2019	J	`jnl`	IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. IEEE Access Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li
2019	A*	`conf`	Improving Cross-lingual Entity Alignment via Optimal Transport. IJCAI Shichao Pei, Lu Yu, Xiangliang Zhang
2019	A	`conf`	In2Rec: Influence-based Interpretable Recommendation. CIKM Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang
2019	A*	`conf`	Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories. KDD Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang, Dongyan Zhao
2019	A*	`conf`	Multi-Order Attentive Ranking Model for Sequential Recommendation. AAAI Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
2019	A*	`conf`	Multi-View Multiple Clustering. IJCAI Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019	J	`jnl`	Multi-View Multiple Clustering. CoRR Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019	J	`jnl`	Multi-View Multiple Clusterings using Deep Matrix Factorization. CoRR Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019	J	`jnl`	PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. CoRR Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
2019	J	`jnl`	Protecting multi-party privacy in location-aware social point-of-interest recommendation. World Wide Web Weiqi Wang, An Liu, Zhixu Li, Xiangliang Zhang, Qing Li, Xiaofang Zhou
2019	J	`jnl`	Prototypical Networks for Multi-Label Learning. CoRR Zhuo Yang, Yufei Han, Guoxian Yu, Xiangliang Zhang
2019	J	`jnl`	Recurrent Attention Walk for Semi-supervised Classification. CoRR Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang
2019	J	`jnl`	Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. CoRR Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
2019	J	`jnl`	Robust Federated Training via Collaborative Machine Teaching using Trusted Instances. CoRR Yufei Han, Xiangliang Zhang
2019	J	`jnl`	SNOD: a fast sampling method of exploring node orbit degrees for large graphs. Knowl. Inf. Syst. Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Jing Tao, Xiaohong Guan
2019	J	`jnl`	STLP-OD: Spatial and Temporal Label Propagation for Traffic Outlier Detection. IEEE Access Juhua Pu, Yue Wang, Xinran Liu, Xiangliang Zhang
2019	—	`conf`	Selective Matrix Factorization for Multi-relational Data Fusion. DASFAA (1) Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo
2019	A*	`conf`	Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. WWW Shichao Pei, Lu Yu, Robert Hoehndorf, Xiangliang Zhang
2019	—	`conf`	SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing. DASFAA (1) Dongjun Zhai, An Liu, Shicheng Chen, Zhixu Li, Xiangliang Zhang
2019	A*	`conf`	Submodular Optimization over Streams with Inhomogeneous Decays. AAAI Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
2019	A*	`conf`	Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. ICDE Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
2019	A*	`conf`	Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities Over Time. ICDE Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley
2019	J	`jnl`	Weakly-paired Cross-Modal Hashing. CoRR Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2018	J	`jnl`	A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation. IEEE Access An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Qing Li, Xiaofang Zhou, Xiangliang Zhang
2018	J	`jnl`	A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2018	J	`jnl`	Abstracting massive data for lightweight intrusion detection in computer networks. Inf. Sci. Wei Wang, Jiqiang Liu, Georgios Pitsilis, Xiangliang Zhang
2018	A*	`conf`	Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. WWW Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2018	J	`jnl`	CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles. IEEE Trans. Intell. Transp. Syst. Lun Li, Jiqiang Liu, Lichen Cheng, Shuo Qiu, Wei Wang, Xiangliang Zhang, Zonghua Zhang
2018	J	`jnl`	Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers. Future Gener. Comput. Syst. Wei Wang, YuanYuan Li, Xing Wang, Jiqiang Liu, Xiangliang Zhang
2018	J	`jnl`	Discovering and understanding android sensor usage behaviors with data flow analysis. World Wide Web Xing Liu, Jiqiang Liu, Wei Wang, YongZhong He, Xiangliang Zhang
2018	J	`jnl`	DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features. IEEE Access Wei Wang, Zhenzhen Gao, Meichen Zhao, Yidong Li, Jiqiang Liu, Xiangliang Zhang
2018	A*	`conf`	Dynamic Embeddings for User Profiling in Twitter. KDD Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas
2018	J	`jnl`	Efficient evaluation of shortest travel-time path queries through spatial mashups. GeoInformatica Detian Zhang, Chi-Yin Chow, An Liu, Xiangliang Zhang, Qingzhu Ding, Qing Li
2018	J	`jnl`	Efficient task assignment in spatial crowdsourcing with worker and task privacy protection. GeoInformatica An Liu, Weiqi Wang, Shuo Shang, Qing Li, Xiangliang Zhang
2018	J	`jnl`	Exploiting reject option in classification for social discrimination control. Inf. Sci. Faisal Kamiran, Sameen Mansha, Asim Karim, Xiangliang Zhang
2018	J	`jnl`	GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning. CoRR Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu
2018	A*	`conf`	KDE-Track: An Efficient Dynamic Density Estimator for Data Streams (Extended Abstract). ICDE Abdulhakim Ali Qahtan, Suojin Wang, Xiangliang Zhang
2018	A*	`conf`	MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract). ICDE Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Xiaohong Guan
2018	J	`jnl`	MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs. IEEE Trans. Knowl. Data Eng. Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Jing Tao, Xiaohong Guan
2018	A*	`conf`	Mining Streaming and Temporal Data: from Representation to Knowledge. IJCAI Xiangliang Zhang
2018	—	`conf`	Mining top-k Popular Datasets via a Deep Generative Model. IEEE BigData Uchenna Akujuobi, Ke Sun, Xiangliang Zhang
2018	A*	`conf`	Multi-label Learning with Highly Incomplete Data via Collaborative Embedding. KDD Yufei Han, Guolei Sun, Yun Shen, Xiangliang Zhang
2018	—	`conf`	Randomizing SVM Against Adversarial Attacks Under Uncertainty. PAKDD (3) Yan Chen, Wei Wang, Xiangliang Zhang
2018	—	`conf`	Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction. IEEE BigData Basmah Altaf, Lu Yu, Xiangliang Zhang
2018	J	`jnl`	Special issue: Mobile Web Data Analytics (part I). Web Intell. Zili Zhang, Li Liu, Li Li, Xiangliang Zhang
2018	J	`jnl`	Special issue: Mobile web data analytics (part II). Web Intell. Zili Zhang, Li Liu, Li Li, Xiangliang Zhang
2018	J	`jnl`	Submodular Optimization Over Streams with Inhomogeneous Decays. CoRR Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
2018	A*	`conf`	Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. IJCAI Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2018	J	`jnl`	Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. CoRR Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
2018	J	`jnl`	Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He
2018	J	`jnl`	Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities over Time. CoRR Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley
2018	A*	`conf`	WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. AAAI Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang
2017	J	`jnl`	A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2017	J	`jnl`	An effective suggestion method for keyword search of databases. World Wide Web Hai Huang, Zonghai Chen, Chengfei Liu, He Huang, Xiangliang Zhang
2017	J	`jnl`	An up-to-date comparison of state-of-the-art classification algorithms. Expert Syst. Appl. Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis
2017	J	`jnl`	Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage. Proc. VLDB Endow. Pinghui Wang, Yiyan Qi, Yu Sun, Xiangliang Zhang, Jing Tao, Xiaohong Guan
2017	J	`jnl`	Characterizing Android apps' behavior for effective detection of malapps at large scale. Future Gener. Comput. Syst. Xing Wang, Wei Wang, YongZhong He, Jiqiang Liu, Zhen Han, Xiangliang Zhang
2017	J	`jnl`	Coarse Grained Exponential Variational Autoencoders. CoRR Ke Sun, Xiangliang Zhang
2017	A	`conf`	Collaborative User Network Embedding for Social Recommender Systems. SDM Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang
2017	—	`conf`	Delve: A Data Set Retrieval and Document Analysis System. ECML/PKDD (3) Uchenna Akujuobi, Xiangliang Zhang
2017	J	`jnl`	Delve: A Dataset-Driven Scholarly Search and Analysis System. SIGKDD Explor. Uchenna Akujuobi, Xiangliang Zhang
2017	—	`conf`	ESearch: Incorporating Text Corpus and Structured Knowledge for Open Domain Entity Search. WWW (Companion Volume) Denghao Ma, Yueguo Chen, Jun Chen, Xiaoyong Du, Xiangliang Zhang
2017	J	`jnl`	Graph Embedding with Rich Information through Bipartite Heterogeneous Network. CoRR Guolei Sun, Xiangliang Zhang
2017	—	`conf`	ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation. IEEE BigData Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2017	J	`jnl`	KDE-Track: An Efficient Dynamic Density Estimator for Data Streams. IEEE Trans. Knowl. Data Eng. Abdulhakim Ali Qahtan, Suojin Wang, Xiangliang Zhang
2017	A	`conf`	Marmite: Spreading Malicious File Reputation Through Download Graphs. ACSAC Gianluca Stringhini, Yun Shen, Yufei Han, Xiangliang Zhang
2017	—	`conf`	Modeling Temporal Behavior of Awards Effect on Viewership of Movies. PAKDD (1) Basmah Altaf, Faisal Kamiran, Xiangliang Zhang
2017	J	`jnl`	Privacy-Preserving Task Assignment in Spatial Crowdsourcing. J. Comput. Sci. Technol. An Liu, Zhixu Li, Guanfeng Liu, Kai Zheng, Min Zhang, Qing Li, Xiangliang Zhang
2017	A*	`conf`	The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract). ICDE Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou
2017	J	`jnl`	The Interaction Between Schema Matching and Record Matching in Data Integration. IEEE Trans. Knowl. Data Eng. Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou
2017	—	`ed.`	Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part I WISE (1) Athman Bouguettaya, Yunjun Gao, Andrey Klimenko, Lu Chen, Xiangliang Zhang, Fedor Dzerzhinskiy, Weijia Jia, Stanislav V. Klimenko, Qing Li
2017	—	`ed.`	Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part II WISE (2) Athman Bouguettaya, Yunjun Gao, Andrey Klimenko, Lu Chen, Xiangliang Zhang, Fedor Dzerzhinskiy, Weijia Jia, Stanislav V. Klimenko, Qing Li
2017	J	`jnl`	Web-ADARE: A web-aided data repairing system. Neurocomputing Binbin Gu, Zhixu Li, Qiang Yang, Qing Xie, An Liu, Guanfeng Liu, Kai Zheng, Xiangliang Zhang
2017	—	`conf`	When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System. DASFAA (1) Xiao Liu, An Liu, Xiangliang Zhang, Zhixu Li, Guanfeng Liu, Lei Zhao, Xiaofang Zhou
2016	J	`jnl`	A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs. CoRR Pinghui Wang, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao, Xiaohong Guan
2016	J	`jnl`	Analysis and Modeling of Social Influence in High Performance Computing Workloads. CoRR Shuai Zheng, Zon-Yin Shae, Xiangliang Zhang, Hani Jamjoom, Liana L. Fong
2016	A	`conf`	Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph. CIKM Ibrahim M. Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang
2016	—	`conf`	CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method. DASFAA (1) Jian Zhou, Zhixu Li, Binbin Gu, Qing Xie, Jia Zhu, Xiangliang Zhang, Guoliang Li
2016	—	`conf`	Detecting Anomaly in Traffic Flow from Road Similarity Analysis. WAIM (2) Xinran Liu, Xingwu Liu, Yuanhong Wang, Juhua Pu, Xiangliang Zhang
2016	—	`conf`	Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? ECML/PKDD (1) Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang
2016	J	`jnl`	Large margin classification with indefinite similarities. Mach. Learn. Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang
2016	A*	`conf`	Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties. ICDM Basma Alharbi, Xiangliang Zhang
2016	A*	`conf`	Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces. AAAI Basma Alharbi, Abdulhakim Ali Qahtan, Xiangliang Zhang
2016	J	`jnl`	Modeling and predicting AD progression by regression analysis of sequential clinical data. Neurocomputing Qing Xie, Su Wang, Jia Zhu, Xiangliang Zhang
2016	J	`jnl`	Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaption. IEEE Trans. Knowl. Data Eng. Qing Xie, Xiangliang Zhang, Zhixu Li, Xiaofang Zhou
2016	A*	`conf`	TRIP: An interactive retrieving-inferring data imputation approach. ICDE Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou
2015	A*	`conf`	A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams. KDD Abdulhakim Ali Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang
2015	A*	`conf`	A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. IJCAI Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2015	—	`conf`	Addressing Instance Ambiguity in Web Harvesting. WebDB Zhixu Li, Xiangliang Zhang, Hai Huang, Qing Xie, Jia Zhu, Xiaofang Zhou
2015	A*	`conf`	Efficient Active Learning of Halfspaces via Query Synthesis. AAAI Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
2015	J	`jnl`	TRIP: An Interactive Retrieving-Inferring Data Imputation Approach. IEEE Trans. Knowl. Data Eng. Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou
2014	A	`conf`	A New Study of Two Divergence Metrics for Change Detection in Data Streams. ECAI Abdulhakim Ali Qahtan, Suojin Wang, Raymond J. Carroll, Xiangliang Zhang
2014	A	`conf`	Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering. CIKM Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
2014	—	`conf`	Anti-discrimination Analysis Using Privacy Attack Strategies. ECML/PKDD (2) Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang
2014	J	`jnl`	Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks. Knowl. Based Syst. Wei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier, Florent Masseglia, Xiangliang Zhang
2014	—	`conf`	Cost Reduction for Web-Based Data Imputation. DASFAA (2) Zhixu Li, Shuo Shang, Qing Xie, Xiangliang Zhang
2014	J	`jnl`	Data Stream Clustering With Affinity Propagation. IEEE Trans. Knowl. Data Eng. Xiangliang Zhang, Cyril Furtlehner, Cécile Germain-Renaud, Michèle Sebag
2014	J	`jnl`	Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection. IEEE Trans. Inf. Forensics Secur. Wei Wang, Xing Wang, Dawei Feng, Jiqiang Liu, Zhen Han, Xiangliang Zhang
2014	Misc	`conf`	Exploring the significance of human mobility patterns in social link prediction. SAC Basma Alharbi, Xiangliang Zhang
2014	J	`jnl`	Maximum error-bounded Piecewise Linear Representation for online stream approximation. VLDB J. Qing Xie, Chaoyi Pang, Xiaofang Zhou, Xiangliang Zhang, Ke Deng
2014	B	`conf`	Overcoming Semantic Drift in Information Extraction. EDBT Zhixu Li, Hongsong Li, Haixun Wang, Yi Yang, Xiangliang Zhang, Xiaofang Zhou
2014	C	`conf`	Support vector machines with indefinite kernels. ACML Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
2014	A*	`conf`	TideWatch: Fingerprinting the cyclicality of big data workloads. INFOCOM Dan Williams, Shuai Zheng, Xiangliang Zhang, Hani Jamjoom
2013	A*	`conf`	Controlling Attribute Effect in Linear Regression. ICDM Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang
2013	J	`jnl`	Foreword to the Special Focus on Mathematics, Data and Knowledge. Math. Comput. Sci. Xiaoyu Chen, Dongming Wang, Xiangliang Zhang
2013	A	`conf`	Local correlation detection with linearity enhancement in streaming data. CIKM Qing Xie, Shuo Shang, Bo Yuan, Chaoyi Pang, Xiangliang Zhang
2013	J	`jnl`	Securing Recommender Systems Against Shilling Attacks Using Social-Based Clustering. J. Comput. Sci. Technol. Xiangliang Zhang, Tak Man Desmond Lee, Georgios Pitsilis
2013	—	`conf`	Video Quality Prediction over Wireless 4G. PAKDD (2) Chun Pong Lau, Xiangliang Zhang, Basem Shihada
2012	A*	`conf`	A Mouse-Trajectory Based Model for Predicting Query-URL Relevance. AAAI Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang
2012	B	`conf`	A direction Change-based algorithm for polygonal approximation. ICPR Han Liu, Xiangliang Zhang, Alyn Rockwood
2012	A*	`conf`	Decision Theory for Discrimination-Aware Classification. ICDM Faisal Kamiran, Asim Karim, Xiangliang Zhang
2012	B	`conf`	Discovering Highly Informative Feature Set over High Dimensions. ICTAI Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
2012	A	`conf`	Efficient estimation of dynamic density functions with an application to outlier detection. CIKM Abdulhakim Ali Qahtan, Xiangliang Zhang, Suojin Wang
2012	C	`conf`	Modeling and Clustering Users with Evolving Profiles in Usage Streams. TIME Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
2012	A*	`conf`	Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. ICDM Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes
2012	J	`jnl`	Understanding and analyzing network traffic. IEEE Netw. Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng
2012	B	`conf`	Virtual machine migration in an over-committed cloud. NOMS Xiangliang Zhang, Zon-Yin Shae, Shuai Zheng, Hani Jamjoom
2011	—	`conf`	Analysis and Modeling of Social Influence in High Performance Computing Workloads. Euro-Par (1) Shuai Zheng, Zon-Yin Shae, Xiangliang Zhang, Hani Jamjoom, Liana Fong
2011	—	`conf`	Clustering Recommenders in Collaborative Filtering Using Explicit Trust Information. IFIPTM Georgios Pitsilis, Xiangliang Zhang, Wei Wang
2011	Misc	`conf`	High-speed web attack detection through extracting exemplars from HTTP traffic. SAC Wei Wang, Xiangliang Zhang
2011	J	`jnl`	Network traffic monitoring, analysis and anomaly detection [Guest Editorial]. IEEE Netw. Wei Wang, Xiangliang Zhang, Wenchang Shi, Shiguo Lian, Dengguo Feng
2010	Misc	`conf`	Abstracting Audit Data for Lightweight Intrusion Detection. ICISS Wei Wang, Xiangliang Zhang, Georgios Pitsilis
2010	—	`conf`	Adaptively detecting changes in Autonomic Grid Computing. GRID Xiangliang Zhang, Cécile Germain, Michèle Sebag
2010	A*	`conf`	K-AP: Generating Specified K Clusters by Efficient Affinity Propagation. ICDM Xiangliang Zhang, Wei Wang, Kjetil Nørvåg, Michèle Sebag
2010	—	`conf`	Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution. ADMA (1) Xiangliang Zhang, Wei Wang
2009	—	`conf`	Attribute Normalization in Network Intrusion Detection. ISPAN Wei Wang, Xiangliang Zhang, Sylvain Gombault, Svein J. Knapskog
2009	J	`jnl`	Constructing attribute weights from computer audit data for effective intrusion detection. J. Syst. Softw. Wei Wang, Xiangliang Zhang, Sylvain Gombault
2009	J	`jnl`	Fast intrusion detection based on a non-negative matrix factorization model. J. Netw. Comput. Appl. Xiaohong Guan, Wei Wang, Xiangliang Zhang
2009	B	`conf`	Multi-scale Real-Time Grid Monitoring with Job Stream Mining. CCGRID Xiangliang Zhang, Michèle Sebag, Cécile Germain-Renaud
2009	J	`jnl`	Scaling Analysis of Affinity Propagation CoRR Cyril Furtlehner, Michèle Sebag, Xiangliang Zhang
2009	A*	`conf`	Toward autonomic grids: analyzing the job flow with affinity streaming. KDD Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain-Renaud, Michèle Sebag
2008	—	`conf`	Data Streaming with Affinity Propagation. ECML/PKDD (2) Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag
2008	—	`conf`	Distributed and Incremental Clustering Based on Weighted Affinity Propagation. STAIRS Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag
2008	J	`jnl`	Processing of massive audit data streams for real-time anomaly intrusion detection. Comput. Commun. Wei Wang, Xiaohong Guan, Xiangliang Zhang
2007	—	`conf`	Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files. ICDM Workshops Xiangliang Zhang, Michèle Sebag, Cécile Germain
2006	J	`jnl`	Profiling program behavior for anomaly intrusion detection based on the transition and frequency property of computer audit data. Comput. Secur. Wei Wang, Xiaohong Guan, Xiangliang Zhang, Liwei Yang
2004	—	`conf`	A Novel Intrusion Detection Method Based on Principle Component Analysis in Computer Security. ISNN (2) Wei Wang, Xiaohong Guan, Xiangliang Zhang
2004	—	`conf`	Profiling program and user behaviors for anomaly intrusion detection based on non-negative matrix factorization. CDC Wei Wang, Xiaohong Guan, Xiangliang Zhang