Jiliang Tang - RankMe

560 papers A* 132A 66B 19Journal 281Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are Expressive Encoders Necessary for Discrete Graph Generation? CoRR Jay Revolinsky, Harry Shomer, Jiliang Tang
2026	J	`jnl`	Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents. CoRR Pengfei He, Ash Fox, Lesly Miculicich, Stefan Friedli, Daniel Fabian, Burak Gokturk, Jiliang Tang, Chen-Yu Lee, Tomas Pfister, Long T. Le
2026	J	`jnl`	Confusion-Aware Rubric Optimization for LLM-based Automated Grading. CoRR Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang
2026	J	`jnl`	Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation. CoRR Jiankun Zhang, Shenglai Zeng, Kai Guo, Xinnan Dai, Hui Liu, Jiliang Tang, Yi Chang
2026	J	`jnl`	How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision? CoRR Yingqian Cui, Zhenwei Dai, Bing He, Zhan Shi, Hui Liu, Rui Sun, Zhiji Liu, Yue Xing, Jiliang Tang, Benoît Dumoulin
2026	J	`jnl`	How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment. CoRR Hang Li, Kaiqi Yang, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang
2026	A*	`conf`	Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation. AAAI Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu, Bo Long, Jiliang Tang, Hui Liu
2026	J	`jnl`	Optimizing In-Context Demonstrations for LLM-based Automated Grading. CoRR Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin C. Haudek, Joseph Krajcik, Jiliang Tang
2026	J	`jnl`	Plain Transformers are Surprisingly Powerful Link Predictors. CoRR Quang Truong, Yu Song, Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
2026	A*	`conf`	Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs. WWW Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
2026	J	`jnl`	Relatron: Automating Relational Machine Learning over Relational Databases. CoRR Zhikai Chen, Han Xie, Jian Zhang, Jiliang Tang, Xiang Song, Huzefa Rangwala
2026	J	`jnl`	Retrieval Heads are Dynamic. CoRR Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang
2025	J	`jnl`	A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers. CoRR Kaiqi Yang, Hang Li, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2025	B	`conf`	A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. EDM Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang
2025	J	`jnl`	A Practical Memory Injection Attack against LLM Agents. CoRR Shen Dong, Shaochen Xu, Pengfei He, Yige Li, Jiliang Tang, Tianming Liu, Hui Liu, Zhen Xiang
2025	J	`jnl`	A Pre-training Framework for Relational Data with Information-theoretic Principles. CoRR Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
2025	J	`jnl`	A Survey on Post-training of Large Language Models. CoRR Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao
2025	—	`conf`	A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness. KDD (2) Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
2025	—	`conf`	A Survey to Recent Progress Towards Understanding In-Context Learning. NAACL (Findings) Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Kristen Marie Johnson, Jiliang Tang
2025	A	`conf`	A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. AISTATS Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2025	J	`jnl`	Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search. CoRR Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2025	—	`conf`	Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective. EMNLP (Findings) Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding
2025	J	`jnl`	Aligning large language models and geometric deep models for protein representation. Patterns Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du
2025	J	`jnl`	Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. CoRR Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He
2025	A*	`conf`	AutoG: Towards automatic graph construction from tabular data. ICLR Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025	J	`jnl`	AutoG: Towards automatic graph construction from tabular data. CoRR Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025	J	`jnl`	Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG. CoRR Kai Guo, Xinnan Dai, Shenglai Zeng, Harry Shomer, Haoyu Han, Yu Wang, Jiliang Tang
2025	B	`conf`	Bringing Generative Artificial Intelligence (GenAI) to Education. EDM Hang Li, Kaiqi Yang, Yucheng Chu, Jiliang Tang
2025	—	`conf`	Data Poisoning for In-context Learning. NAACL (Findings) Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2025	J	`jnl`	Deep Learning Based Knowledge Tracing: A Review, a Tool and Empirical Studies. IEEE Trans. Knowl. Data Eng. Zitao Liu, Teng Guo, Qianru Liang, Mingliang Hou, Bojun Zhan, Jiliang Tang, Weiqi Luo, Jian Weng
2025	A*	`conf`	Empowering GraphRAG with Knowledge Filtering and Integration. EMNLP Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025	J	`jnl`	Empowering GraphRAG with Knowledge Filtering and Integration. CoRR Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025	B	`conf`	Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation. EDM Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
2025	J	`jnl`	Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation. CoRR Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
2025	J	`jnl`	Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving. CoRR Hang Li, Kaiqi Yang, Yucheng Chu, Hui Liu, Jiliang Tang
2025	J	`jnl`	From Sequence to Structure: Uncovering Substructure Reasoning in Transformers. CoRR Xinnan Dai, Kai Yang, Jay Revolinsky, Kai Guo, Aoran Wang, Bohang Zhang, Jiliang Tang
2025	J	`jnl`	Graph-level Representation Learning with Joint-Embedding Predictive Architectures. Trans. Mach. Learn. Res. Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani
2025	J	`jnl`	GraphGhost: Tracing Structures Behind Large Language Models. CoRR Xinnan Dai, Kai Guo, Chung-Hsiang Lo, Shenglai Zeng, Jiayuan Ding, Dongsheng Luo, Subhabrata Mukherjee, Jiliang Tang
2025	J	`jnl`	Higher-order Structure Boosts Link Prediction on Temporal Graphs. CoRR Jingzhe Liu, Zhigang Hua, Yan Xie, Bingheng Li, Harry Shomer, Yu Song, Kaveh Hassani, Jiliang Tang
2025	A*	`conf`	How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. ICLR Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
2025	J	`jnl`	How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior. CoRR Zidi Xiong, Yuping Lin, Wenya Xie, Pengfei He, Jiliang Tang, Himabindu Lakkaraju, Zhen Xiang
2025	J	`jnl`	Introduction for the Special Issue on Trustworthy Artificial Intelligence. ACM Trans. Knowl. Discov. Data Wenqi Fan, Shu Zhao, Jiliang Tang
2025	J	`jnl`	LLM-based Automated Grading with Human-in-the-Loop. CoRR Hang Li, Yucheng Chu, Kaiqi Yang, Yasemin Copur-Gencturk, Jiliang Tang
2025	—	`conf`	Large Language Model for E-Commerce Workshop. WWW (Companion Volume) Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang
2025	J	`jnl`	Large Language Models for Education: A survey and outlook. IEEE Signal Process. Mag. Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
2025	—	`conf`	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. NAACL (Findings) Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2025	—	`conf`	Machine Learning on Graphs in the Era of Generative Artificial Intelligence. KDD (2) Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang
2025	A*	`conf`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. EMNLP Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2025	—	`conf`	Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases. ACL (Findings) Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang
2025	J	`jnl`	Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases. CoRR Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang
2025	J	`jnl`	Multi-Faceted Studies on Data Poisoning can Advance LLM Development. CoRR Pengfei He, Yue Xing, Han Xu, Zhen Xiang, Jiliang Tang
2025	J	`jnl`	Multimodal Recommender Systems: A Survey. ACM Comput. Surv. Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li, Jiliang Tang
2025	J	`jnl`	RAG vs. GraphRAG: A Systematic Evaluation and Key Insights. CoRR Haoyu Han, Harry Shomer, Yu Wang, Yongjia Lei, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Jiliang Tang
2025	J	`jnl`	Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs. CoRR Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
2025	—	`conf`	Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. ACL (Findings) Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025	J	`jnl`	Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. CoRR Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025	J	`jnl`	Retrieval-Augmented Generation with Graphs (GraphRAG). CoRR Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025	A*	`conf`	Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model. WWW Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025	A*	`conf`	Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. CVPR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025	—	`conf`	Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. ACL (Findings) Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025	J	`jnl`	Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. CoRR Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025	J	`jnl`	Subgraph Generation for Generalizing on Out-of-Distribution Links. CoRR Jay Revolinsky, Harry Shomer, Jiliang Tang
2025	A	`conf`	Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression. AISTATS Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing
2025	J	`jnl`	TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use. CoRR Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2025	—	`conf`	The 2nd Workshop on Large Language Models for E-Commerce. KDD (2) Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2025	—	`conf`	Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion. KDD (2) Harry Shomer, Jay Revolinsky, Jiliang Tang
2025	—	`conf`	Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. NAACL (Long Papers) Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2025	—	`conf`	Towards Understanding Link Predictor Generalizability Under Distribution Shifts. KDD (2) Jay Revolinsky, Harry Shomer, Jiliang Tang
2025	J	`jnl`	Uncovering Graph Reasoning in Decoder-only Transformers with Circuit Tracing. CoRR Xinnan Dai, Chung-Hsiang Lo, Kai Guo, Shenglai Zeng, Dongsheng Luo, Jiliang Tang
2025	J	`jnl`	Understanding Generative Recommendation with Semantic IDs from a Model-scaling View. CoRR Jingzhe Liu, Liam Collins, Jiliang Tang, Tong Zhao, Neil Shah, Clark Mingxuan Ju
2025	—	`conf`	Unveiling Mode Connectivity in Graph Neural Network. KDD (2) Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2025	J	`jnl`	Unveiling Mode Connectivity in Graph Neural Networks. CoRR Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2025	—	`conf`	Unveiling Privacy Risks in LLM Agent Memory. ACL (1) Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He
2025	J	`jnl`	Unveiling Privacy Risks in LLM Agent Memory. CoRR Bo Wang, Weiyi He, Pengfei He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang
2024	J	`jnl`	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. Mach. Intell. Res. Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
2024	J	`jnl`	A Data Generation Perspective to the Mechanism of In-Context Learning. CoRR Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang
2024	J	`jnl`	A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. CoRR Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang
2024	—	`conf`	A Pure Transformer Pretraining Framework on Text-Attributed Graphs. LoG Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024	J	`jnl`	A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024	—	`conf`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL-HLT (Findings) Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. CoRR Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2024	A*	`conf`	AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. KDD Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang
2024	J	`jnl`	An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling. CoRR Linxin Yang, Bingheng Li, Tian Ding, Jianghua Wu, Akang Wang, Yuyi Wang, Jiliang Tang, Ruoyu Sun, Xiaodong Luo
2024	—	`conf`	Are Large Language Models (LLMs) Good Social Predictors? EMNLP (Findings) Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
2024	J	`jnl`	Are Large Language Models (LLMs) Good Social Predictors? CoRR Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
2024	J	`jnl`	Automate Knowledge Concept Tagging on Math Questions with LLMs. CoRR Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen
2024	J	`jnl`	Bringing Generative AI to Adaptive Learning in Education. CoRR Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen
2024	A*	`conf`	CellPLM: Pre-training of Cell Language Model Beyond Single Cells. ICLR Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang
2024	J	`jnl`	Content Knowledge Identification with Multi-Agent Large Language Models (LLMs). CoRR Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2024	—	`conf`	Content Knowledge Identification with Multi-agent Large Language Models (LLMs). AIED (2) Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2024	J	`jnl`	Copyright Protection in Generative AI: A Technical Perspective. CoRR Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
2024	J	`jnl`	Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. CoRR Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
2024	J	`jnl`	Data Poisoning for In-context Learning. CoRR Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2024	J	`jnl`	Deep Learning in Single-cell Analysis. ACM Trans. Intell. Syst. Technol. Dylan Molho, Jiayuan Ding, Wenzhuo Tang, Zhaoheng Li, Hongzhi Wen, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang
2024	A*	`conf`	Demeter-Demo: Demonstrating Cross-soil LPWAN with Low-cost Signal Polarization Alignment. MobiCom Yidong Ren, Yawen Wang, Younsuk Dong, Shigang Chen, Mi Zhang, Jiliang Tang, Zhichao Cao
2024	J	`jnl`	DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang
2024	J	`jnl`	Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective. IEEE Trans. Knowl. Data Eng. Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li
2024	J	`jnl`	EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. CoRR Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	J	`jnl`	Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation. CoRR Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Jiliang Tang
2024	—	`conf`	Exploring Memorization in Fine-tuned Language Models. ACL (1) Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024	B	`conf`	Exploring Query Understanding for Amazon Product Search. IEEE Big Data Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024	J	`jnl`	Exploring Query Understanding for Amazon Product Search. CoRR Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024	J	`jnl`	Exploring the Alignment Landscape: LLMs and Geometric Deep Models in Protein Representation. CoRR Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du
2024	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang
2024	A*	`conf`	Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. ICML Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
2024	J	`jnl`	Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. CoRR Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
2024	J	`jnl`	Graph Foundation Models. CoRR Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024	J	`jnl`	How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. CoRR Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
2024	A*	`conf`	Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis. EMNLP Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Marie Johnson
2024	J	`jnl`	Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis. CoRR Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Marie Johnson
2024	A*	`conf`	Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. KDD Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang
2024	J	`jnl`	Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. CoRR Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang
2024	J	`jnl`	Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever. CoRR Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen
2024	A*	`conf`	LPFormer: An Adaptive Graph Transformer for Link Prediction. KDD Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
2024	A*	`conf`	Label-free Node Classification on Graphs with Large Language Models (LLMs). ICLR Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2024	J	`jnl`	Large Language Models for Education: A Survey and Outlook. CoRR Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
2024	J	`jnl`	Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness. CoRR Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang
2024	J	`jnl`	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. CoRR Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2024	J	`jnl`	Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning. CoRR Pengfei He, Zitao Li, Yue Xing, Yaling Li, Jiliang Tang, Bolin Ding
2024	A*	`conf`	Masked Graph Autoencoder with Non-discrete Bandwidths. WWW Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li
2024	J	`jnl`	Masked Graph Autoencoder with Non-discrete Bandwidths. CoRR Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li
2024	J	`jnl`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2024	A*	`conf`	Mixture of Link Predictors on Graphs. NeurIPS Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
2024	J	`jnl`	Mixture of Link Predictors. CoRR Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
2024	J	`jnl`	Neural Scaling Laws on Graphs. CoRR Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
2024	J	`jnl`	Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. CoRR Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang
2024	—	`conf`	On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2024	J	`jnl`	On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept. CoRR Guangliang Liu, Haitao Mao, Bochuan Cao, Zhiyu Xue, Kristen Marie Johnson, Jiliang Tang, Rongrong Wang
2024	J	`jnl`	One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs. CoRR Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
2024	A*	`conf`	PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. ICML Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024	J	`jnl`	PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. CoRR Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024	A*	`conf`	Position: Graph Foundation Models Are Already Here. ICML Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
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`	Recommender Systems in the Era of Large Language Models (LLMs). IEEE Trans. Knowl. Data Eng. Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li
2024	J	`jnl`	Rethinking Large Language Model Architectures for Sequential Recommendations. CoRR Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu
2024	A*	`conf`	Revisiting Link Prediction: a data perspective. ICLR Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2024	J	`jnl`	Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path. CoRR Xinnan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen, Dongsheng Li, Jiliang Tang, Caihua Shan
2024	J	`jnl`	SA-GDA: Spectral Augmentation for Graph Domain Adaptation. CoRR Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao, Nan Yin
2024	J	`jnl`	Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models. CoRR Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	A*	`conf`	Sharpness-Aware Data Poisoning Attack. ICLR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2024	J	`jnl`	Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	J	`jnl`	SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. J. Comput. Biol. Jiayuan Ding, Lingxiao Li, Qiaolin Lu, Julian Venegas, Yixin Wang, Lidan Wu, Wei Jin, Hongzhi Wen, Renming Liu, Wenzhuo Tang, Xinnan Dai, Zhaoheng Li, Wangyang Zuo, Yi Chang, Yu Leo Lei, Lulu Shang, Patrick Danaher, Yuying Xie, Jiliang Tang
2024	J	`jnl`	Stealthy Backdoor Attack via Confidence-driven Sampling. Trans. Mach. Learn. Res. Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2024	A*	`conf`	Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
2024	—	`conf`	Sub-Graph Based Diffusion Model for Link Prediction. LoG Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang
2024	J	`jnl`	Sub-graph Based Diffusion Model for Link Prediction. CoRR Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang
2024	J	`jnl`	Superiority of Multi-Head Attention in In-Context Linear Regression. CoRR Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing
2024	A*	`conf`	Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. NeurIPS Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024	J	`jnl`	Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. CoRR Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024	—	`conf`	The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
2024	—	`conf`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
2024	J	`jnl`	Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion. CoRR Harry Shomer, Jay Revolinsky, Jiliang Tang
2024	J	`jnl`	Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. CoRR Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2024	—	`conf`	Towards Neural Scaling Laws on Graphs. LoG Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
2024	A*	`conf`	Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. EMNLP Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. CoRR Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing
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	A*	`conf`	Uncovering Problematic Designs Hindering Ubiquitous Cellular Emergency Services Access. MobiCom Yiwen Hu, Min-Yue Chen, Haitian Yan, Chuan-Yi Cheng, Guan-Hua Tu, Chi-Yu Li, Tian Xie, Chunyi Peng, Li Xiao, Jiliang Tang
2024	J	`jnl`	Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs. CoRR Jay Revolinsky, Harry Shomer, Jiliang Tang
2024	—	`conf`	Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. ECCV (77) Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024	J	`jnl`	Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024	A*	`conf`	Whole Page Unbiased Learning to Rank. WWW Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
2023	J	`jnl`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2023	J	`jnl`	Adaptive Pairwise Encodings for Link Prediction. CoRR Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
2023	J	`jnl`	Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
2023	A*	`conf`	Alternately Optimized Graph Neural Networks. ICML Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
2023	A*	`conf`	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023	J	`jnl`	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023	J	`jnl`	An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
2023	—	`conf`	Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Confidence-driven Sampling for Backdoor Attacks. CoRR Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2023	J	`jnl`	Customized Graph Nerual Networks. IEEE Data Eng. Bull. Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang
2023	A*	`conf`	Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
2023	A*	`conf`	Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023	J	`jnl`	Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? CoRR Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023	J	`jnl`	DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang
2023	A*	`conf`	Distance-Based Propagation for Efficient Knowledge Graph Reasoning. EMNLP Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Distance-Based Propagation for Efficient Knowledge Graph Reasoning. CoRR Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Embedding in Recommender Systems: A Survey. CoRR Xiangyu Zhao, Maolin Wang, Xinjian Zhao, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo
2023	A*	`conf`	Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2023	J	`jnl`	Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective. CoRR Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li
2023	A*	`conf`	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Exploring Memorization in Fine-tuned Language Models. CoRR Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
2023	J	`jnl`	Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
2023	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang
2023	A*	`conf`	Generative Diffusion Models on Graphs: Methods and Applications. IJCAI Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
2023	J	`jnl`	Generative Diffusion Models on Graphs: Methods and Applications. CoRR Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
2023	A*	`conf`	Graph Enhanced BERT for Query Understanding. SIGIR Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	Graph-level Representation Learning with Joint-Embedding Predictive Architectures. CoRR Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani
2023	A*	`conf`	How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang
2023	J	`jnl`	INS-GNN: Improving graph imbalance learning with self-supervision. Inf. Sci. Xin Juan, Fengfeng Zhou, Wentao Wang, Wei Jin, Jiliang Tang, Xin Wang
2023	A*	`conf`	Jointly Attacking Graph Neural Network and its Explanations. ICDE Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2023	J	`jnl`	Label-free Node Classification on Graphs with Large Language Models (LLMS). CoRR Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2023	A*	`conf`	Large-Scale Graph Neural Networks: The Past and New Frontiers. KDD Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
2023	J	`jnl`	On the Generalization of Training-based ChatGPT Detection Methods. CoRR Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2023	A*	`conf`	Probabilistic Categorical Adversarial Attack and Adversarial Training. ICML Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang
2023	J	`jnl`	Recommender Systems in the Era of Large Language Models (LLMs). CoRR Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, Qing Li
2023	J	`jnl`	Revisiting Link Prediction: A Data Perspective. CoRR Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023	A*	`conf`	SA-GDA: Spectral Augmentation for Graph Domain Adaptation. ACM Multimedia Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao, Nan Yin
2023	J	`jnl`	Sharpness-Aware Data Poisoning Attack. CoRR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation. CoRR Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang
2023	A	`conf`	Single-Cell Multimodal Prediction via Transformers. CIKM Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2023	J	`jnl`	Single-Cell Multimodal Prediction via Transformers. CoRR Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2023	A*	`conf`	Toward Degree Bias in Embedding-Based Knowledge Graph Completion. WWW Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang
2023	J	`jnl`	Toward Degree Bias in Embedding-Based Knowledge Graph Completion. CoRR Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang
2023	A*	`conf`	Towards Label Position Bias in Graph Neural Networks. NeurIPS Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Towards Label Position Bias in Graph Neural Networks. CoRR Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2023	A*	`conf`	Transferable Unlearnable Examples. ICLR Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2023	J	`jnl`	Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang
2023	A*	`conf`	XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information. NeurIPS Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng
2022	J	`jnl`	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
2022	J	`jnl`	A Graph Neural Network Framework for Social Recommendations. IEEE Trans. Knowl. Data Eng. Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin
2022	A*	`conf`	A Large Scale Search Dataset for Unbiased Learning to Rank. NeurIPS Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
2022	J	`jnl`	A Large Scale Search Dataset for Unbiased Learning to Rank. CoRR Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
2022	J	`jnl`	ACM WSDM 2022 report. SIGWEB Newsl. K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022	J	`jnl`	Alternately Optimized Graph Neural Networks. CoRR Haoyu Han, Xiaorui Liu, Torkamani Ali, Feng Shi, Victor Lee, Jiliang Tang
2022	J	`jnl`	Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2022	A*	`conf`	Automated Self-Supervised Learning for Graphs. ICLR Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2022	A*	`conf`	Condensing Graphs via One-Step Gradient Matching. KDD Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
2022	J	`jnl`	Condensing Graphs via One-Step Gradient Matching. CoRR Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Ying
2022	J	`jnl`	Deep Learning in Single-Cell Analysis. CoRR Dylan Molho, Jiayuan Ding, Zhaoheng Li, Hongzhi Wen, Wenzhuo Tang, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang
2022	A*	`conf`	Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
2022	J	`jnl`	Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang
2022	J	`jnl`	Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals. CoRR Jamell Dacon, Harry Shomer, Shaylynn Crum-Dacon, Jiliang Tang
2022	A*	`conf`	Efficient Machine Learning on Large-Scale Graphs. KDD Parker Erickson, Victor E. Lee, Feng Shi, Jiliang Tang
2022	J	`jnl`	Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2022	J	`jnl`	Enhancing Adversarial Training with Feature Separability. CoRR Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
2022	B	`conf`	Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference. COLING Jamell Dacon, Haochen Liu, Jiliang Tang
2022	A*	`conf`	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. KDD Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	J	`jnl`	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	A*	`conf`	Graph Condensation for Graph Neural Networks. ICLR Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
2022	J	`jnl`	Graph Enhanced BERT for Query Understanding. CoRR Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
2022	A*	`conf`	Graph Neural Networks for Multimodal Single-Cell Data Integration. KDD Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang
2022	J	`jnl`	Graph Neural Networks for Multimodal Single-Cell Data Integration. CoRR Hongzhi Wen, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang
2022	A*	`conf`	Graph Trend Filtering Networks for Recommendation. SIGIR Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2022	A*	`conf`	Imbalanced Adversarial Training with Reweighting. ICDM Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2022	A*	`conf`	Is Homophily a Necessity for Graph Neural Networks? ICLR Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
2022	J	`jnl`	Learning Representations for Hyper-Relational Knowledge Graphs. CoRR Harry Shomer, Wei Jin, Juan-Hui Li, Yao Ma, Jiliang Tang
2022	A	`conf`	Learning from Imbalanced Crowdsourced Labeled Data. SDM Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang
2022	A	`conf`	Localized Graph Collaborative Filtering. SDM Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang
2022	A*	`conf`	Multi-Type Urban Crime Prediction. AAAI Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
2022	J	`jnl`	Negative samples selecting strategy for graph contrastive learning. Inf. Sci. Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang
2022	A	`conf`	PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
2022	J	`jnl`	Probabilistic Categorical Adversarial Attack & Adversarial Training. CoRR Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang
2022	A*	`conf`	Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng
2022	J	`jnl`	Representation Learning From Limited Educational Data With Crowdsourced Labels. IEEE Trans. Knowl. Data Eng. Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu
2022	J	`jnl`	Test-Time Training for Graph Neural Networks. CoRR Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
2022	—	`conf`	Toward Annotator Group Bias in Crowdsourcing. ACL (1) Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang
2022	A*	`conf`	Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. KDD Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang
2022	J	`jnl`	Towards Fair Classification against Poisoning Attacks. CoRR Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang
2022	J	`jnl`	Transferable Unlearnable Examples. CoRR Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2022	A	`ed.`	WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 WSDM K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang
2022	J	`jnl`	Whole Page Unbiased Learning to Rank. CoRR Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
2022	A*	`conf`	pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. NeurIPS Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo
2022	J	`jnl`	pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. CoRR Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo
2021	A	`conf`	A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2021	A*	`conf`	Adversarial Robustness in Deep Learning: From Practices to Theories. KDD Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
2021	J	`jnl`	An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. CoRR Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
2021	A*	`conf`	Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2021	A*	`conf`	AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2021	A*	`conf`	AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang
2021	A*	`conf`	AutoLoss: Automated Loss Function Search in Recommendations. KDD Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021	J	`jnl`	AutoLoss: Automated Loss Function Search in Recommendations. CoRR Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021	J	`jnl`	Automated Self-Supervised Learning for Graphs. CoRR Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2021	—	`conf`	Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. IEEE BigData Hamid Karimi, Jiliang Tang, Xochitl Weiss, Jiangtao Huang
2021	A*	`conf`	DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. AAAI Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu
2021	J	`jnl`	Decentralized Composite Optimization with Compression. CoRR Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan
2021	A	`conf`	Deep Adversarial Network Alignment. CIKM Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2021	A*	`conf`	DeepRobust: a Platform for Adversarial Attacks and Defenses. AAAI Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
2021	A*	`conf`	Elastic Graph Neural Networks. ICML Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	J	`jnl`	Elastic Graph Neural Networks. CoRR Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	A*	`conf`	Graph Adversarial Attack via Rewiring. KDD Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
2021	J	`jnl`	Graph Condensation for Graph Neural Networks. CoRR Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
2021	A	`conf`	Graph Feature Gating Networks. CIKM Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	J	`jnl`	Graph Feature Gating Networks. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	A*	`conf`	Graph Neural Networks with Adaptive Residual. NeurIPS Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
2021	A*	`conf`	Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
2021	J	`jnl`	Graph Trend Networks for Recommendations. CoRR Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2021	J	`jnl`	Imbalanced Adversarial Training with Reweighting. CoRR Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2021	J	`jnl`	Is Homophily a Necessity for Graph Neural Networks? CoRR Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
2021	J	`jnl`	Jointly Attacking Graph Neural Network and its Explanations. CoRR Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2021	J	`jnl`	Learning-based blockage prediction for robust links in dynamic millimeter wave networks. Wirel. Networks Masoud Zarifneshat, Li Xiao, Jiliang Tang, Xinyu Zhang
2021	A*	`conf`	Linear Convergent Decentralized Optimization with Compression. ICLR Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
2021	A*	`conf`	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2021	J	`jnl`	Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models. CoRR Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu
2021	—	`conf`	Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models. AIED (2) Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu
2021	A	`conf`	Node Similarity Preserving Graph Convolutional Networks. WSDM Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
2021	—	`conf`	Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. HT Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang
2021	J	`jnl`	SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. Trans. Data Sci. Feng Xia, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang
2021	—	`conf`	Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. AIED (2) Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu
2021	J	`jnl`	Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. CoRR Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu
2021	—	`conf`	The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. ACL/IJCNLP (Findings) Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang
2021	J	`jnl`	The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. CoRR Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang
2021	A*	`conf`	The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). KDD Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo
2021	A*	`conf`	To be Robust or to be Fair: Towards Fairness in Adversarial Training. ICML Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang
2021	J	`jnl`	Toward Annotator Group Bias in Crowdsourcing. CoRR Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang
2021	J	`jnl`	Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang
2021	J	`jnl`	Trustworthy AI: A Computational Perspective. CoRR Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
2021	A*	`conf`	UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2021	J	`jnl`	What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020. CoRR Jamell Dacon, Jiliang Tang
2021	A	`conf`	Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2020	A	`conf`	A Double Residual Compression Algorithm for Efficient Distributed Learning. AISTATS Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
2020	J	`jnl`	A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2020	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2020	J	`jnl`	Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang
2020	J	`jnl`	Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. CoRR Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang
2020	A*	`conf`	Adversarial Attacks and Defenses: Frontiers, Advances and Practice. KDD Han Xu, Yaxin Li, Wei Jin, Jiliang Tang
2020	J	`jnl`	Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2020	J	`jnl`	AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. CoRR Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang
2020	A*	`conf`	Automated Embedding Size Search in Deep Recommender Systems. SIGIR Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang
2020	B	`conf`	Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. L@S Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang
2020	J	`jnl`	Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang
2020	A	`conf`	Decision Boundary of Deep Neural Networks: Challenges and Opportunities. WSDM Hamid Karimi, Jiliang Tang
2020	A	`conf`	Deep Adversarial Canonical Correlation Analysis. SDM Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
2020	J	`jnl`	DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses. CoRR Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
2020	B	`conf`	Does Gender Matter? Towards Fairness in Dialogue Systems. COLING Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
2020	A	`conf`	Epidemic Graph Convolutional Network. WSDM Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
2020	J	`jnl`	Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction. CoRR Xiangyu Zhao, Jiliang Tang
2020	A	`conf`	Global-and-Local Aware Data Generation for the Class Imbalance Problem. SDM Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang
2020	A*	`conf`	Graduate Employment Prediction with Bias. AAAI Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Graph Convolutional Networks against Degree-Related Biases. CoRR Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	A*	`conf`	Graph Pooling with Representativeness. ICDM Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang
2020	A*	`conf`	Graph Structure Learning for Robust Graph Neural Networks. KDD Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	J	`jnl`	Graph Structure Learning for Robust Graph Neural Networks. CoRR Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	A	`conf`	Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. CIKM Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	A*	`conf`	Jointly Learning to Recommend and Advertise. KDD Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang
2020	J	`jnl`	Jointly Learning to Recommend and Advertise. CoRR Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang
2020	A*	`ed.`	KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020 KDD Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash
2020	A*	`conf`	Learning Multi-Level Dependencies for Robust Word Recognition. AAAI Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2020	A*	`conf`	Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Linear Convergent Decentralized Optimization with Compression. CoRR Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
2020	J	`jnl`	Link and interaction polarity predictions in signed networks. Soc. Netw. Anal. Min. Tyler Derr, Zhiwei Wang, Jamell Dacon, Jiliang Tang
2020	J	`jnl`	Memory-efficient Embedding for Recommendations. CoRR Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2020	—	`conf`	Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2020	J	`jnl`	Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms. CoRR Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu
2020	—	`conf`	Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. AIED (1) Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu
2020	J	`jnl`	Node Similarity Preserving Graph Convolutional Networks. CoRR Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Non-IID Graph Neural Networks. CoRR Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2020	B	`conf`	Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. EDM Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang
2020	B	`conf`	Personalized Multimodal Feedback Generation in Education. COLING Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang
2020	J	`jnl`	Personalized Multimodal Feedback Generation in Education. CoRR Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang
2020	A*	`conf`	ROSE: Role-based Signed Network Embedding. WWW Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang
2020	A*	`conf`	Recent Advances in Multimodal Educational Data Mining in K-12 Education. KDD Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin
2020	J	`jnl`	Representation Learning from Limited Educational Data with Crowdsourced Labels. CoRR Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu
2020	J	`jnl`	Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. CoRR Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang
2020	J	`jnl`	Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang
2020	—	`conf`	Siamese Neural Networks for Class Activity Detection. AIED (2) Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu
2020	J	`jnl`	Siamese Neural Networks for Class Activity Detection. CoRR Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu
2020	J	`jnl`	Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis. CoRR Ghazaleh Beigi, Jiliang Tang, Huan Liu
2020	J	`jnl`	Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis. ACM Trans. Intell. Syst. Technol. Ghazaleh Beigi, Jiliang Tang, Huan Liu
2020	A*	`conf`	Streaming Graph Neural Networks. SIGIR Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin
2020	J	`jnl`	To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang
2020	—	`conf`	Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. AIED (2) Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang
2020	A*	`conf`	Traffic Flow Prediction via Spatial Temporal Graph Neural Network. WWW Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu
2020	—	`conf`	Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest. TALE Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang
2020	A	`conf`	Whole-Chain Recommendations. CIKM Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020	A*	`conf`	XGNN: Towards Model-Level Explanations of Graph Neural Networks. KDD Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji
2020	J	`jnl`	XGNN: Towards Model-Level Explanations of Graph Neural Networks. CoRR Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji
2020	J	`jnl`	Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2019	J	`jnl`	A Double Residual Compression Algorithm for Efficient Distributed Learning. CoRR Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
2019	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2019	J	`jnl`	Attacking Graph Convolutional Networks via Rewiring. CoRR Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang
2019	—	`conf`	Automatic Short Answer Grading via Multiway Attention Networks. AIED (2) Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu
2019	J	`jnl`	Automatic Short Answer Grading via Multiway Attention Networks. CoRR Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu
2019	A	`conf`	Balance in Signed Bipartite Networks. CIKM Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
2019	J	`jnl`	Balance in Signed Bipartite Networks. CoRR Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
2019	J	`jnl`	Characterizing the Decision Boundary of Deep Neural Networks. CoRR Hamid Karimi, Tyler Derr, Jiliang Tang
2019	J	`jnl`	Deep Adversarial Network Alignment. CoRR Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2019	A*	`conf`	Deep Adversarial Social Recommendation. IJCAI Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
2019	J	`jnl`	Deep Adversarial Social Recommendation. CoRR Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
2019	—	`conf`	Deep Knowledge Tracing with Side Information. AIED (2) Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu
2019	J	`jnl`	Deep Knowledge Tracing with Side Information. CoRR Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu
2019	J	`jnl`	Deep Reinforcement Learning for Online Advertising in Recommender Systems. CoRR Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiaobing Liu, Xiwang Yang, Jiliang Tang
2019	J	`jnl`	Deep Social Collaborative Filtering. CoRR Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
2019	J	`jnl`	Deep reinforcement learning for search, recommendation, and online advertising: a survey. SIGWEB Newsl. Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin
2019	A	`conf`	Deep social collaborative filtering. RecSys Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
2019	J	`jnl`	Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
2019	J	`jnl`	Gene Expression and Protein Function: A Survey of Deep Learning Methods. SIGKDD Explor. Saket Sathe, Sayani Aggarwal, Jiliang Tang
2019	J	`jnl`	Graduate Employment Prediction with Bias. CoRR Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang
2019	A*	`conf`	Graph Convolutional Networks with EigenPooling. KDD Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019	J	`jnl`	Graph Convolutional Networks with EigenPooling. CoRR Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019	A*	`conf`	Graph Neural Networks for Social Recommendation. WWW Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2019	J	`jnl`	Graph Neural Networks for Social Recommendation. CoRR Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2019	A*	`conf`	Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. ICDE Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2019	J	`jnl`	Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. CoRR Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2019	—	`conf`	Learning Hierarchical Discourse-level Structure for Fake News Detection. NAACL-HLT (1) Hamid Karimi, Jiliang Tang
2019	J	`jnl`	Learning Hierarchical Discourse-level Structure for Fake News Detection. CoRR Hamid Karimi, Jiliang Tang
2019	J	`jnl`	Learning Multi-level Dependencies for Robust Word Recognition. CoRR Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2019	B	`conf`	Learning-based Blockage Prediction for Robust Links in Dynamic Millimeter Wave Networks. SECON Masoud Zarifneshat, Li Xiao, Jiliang Tang
2019	J	`jnl`	Model-Based Reinforcement Learning for Whole-Chain Recommendations. CoRR Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang
2019	A	`conf`	Multi-dimensional Graph Convolutional Networks. SDM Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2019	B	`conf`	Multi-factor congressional vote prediction. ASONAM Hamid Karimi, Tyler Derr, Aaron Brookhouse, Jiliang Tang
2019	J	`jnl`	R-Transformer: Recurrent Neural Network Enhanced Transformer. CoRR Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang
2019	A*	`conf`	Recommender Systems with Heterogeneous Side Information. WWW Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2019	J	`jnl`	Recommender Systems with Heterogeneous Side Information. CoRR Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2019	J	`jnl`	Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang
2019	J	`jnl`	Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network. IEEE Trans. Veh. Technol. Zhen Yang, Haiyang Yu, Jiliang Tang, Huan Liu
2019	J	`jnl`	Toward Simulating Environments in Reinforcement Learning Based Recommendations. CoRR Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang
2019	—	`conf`	Weight Loss Prediction in Social-Temporal Context. ICHI Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin
2018	A	`conf`	A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. WSDM Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin
2018	B	`conf`	CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter. ASONAM Courtland VanDam, Pang-Ning Tan, Jiliang Tang, Hamid Karimi
2018	J	`jnl`	Cloud Information Retrieval: Model Description and Scheme Design. IEEE Access Zhen Yang, Jiliang Tang, Huan Liu
2018	—	`conf`	Congressional Vote Analysis Using Signed Networks. ICDM Workshops Tyler Derr, Jiliang Tang
2018	J	`jnl`	Crime in Urban Areas: : A Data Mining Perspective. SIGKDD Explor. Xiangyu Zhao, Jiliang Tang
2018	J	`jnl`	Crime in Urban Areas: A Data Mining Perspective. CoRR Xiangyu Zhao, Jiliang Tang
2018	A	`conf`	CrossFire: Cross Media Joint Friend and Item Recommendations. WSDM Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2018	J	`jnl`	Deep Reinforcement Learning for List-wise Recommendations. CoRR Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Dawei Yin, Yihong Zhao, Jiliang Tang
2018	J	`jnl`	Deep Reinforcement Learning for Page-wise Recommendations. CoRR Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang
2018	A	`conf`	Deep reinforcement learning for page-wise recommendations. RecSys Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang
2018	J	`jnl`	Dynamic Graph Neural Networks. CoRR Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2018	B	`conf`	End-to-End Compromised Account Detection. ASONAM Hamid Karimi, Courtland VanDam, Liyang Ye, Jiliang Tang
2018	B	`conf`	Exploiting User Actions for App Recommendations. ASONAM Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo
2018	J	`jnl`	Exploring Hierarchical Structures for Recommender Systems. IEEE Trans. Knowl. Data Eng. Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2018	J	`jnl`	Feature Selection: A Data Perspective. ACM Comput. Surv. Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2018	A*	`conf`	Hierarchical Variational Memory Network for Dialogue Generation. WWW Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin
2018	—	`conf`	How Voice Service Threatens Cellular-Connected IoT Devices in the Operational 4G LTE Networks. ICC Tian Xie, Chi-Yu Li, Jiliang Tang, Guan-Hua Tu
2018	—	`ed.`	IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018 IEEE BigData Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz
2018	J	`jnl`	Linked Recurrent Neural Networks. CoRR Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang
2018	B	`conf`	Local and Global Information Preserved Network Embedding. ASONAM Yao Ma, Suhang Wang, Jiliang Tang
2018	A	`conf`	Micro Behaviors: A New Perspective in E-commerce Recommender Systems. WSDM Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin
2018	A	`conf`	Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin
2018	B	`conf`	Multi-Source Multi-Class Fake News Detection. COLING Hamid Karimi, Proteek Roy, Sari Saba-Sadiya, Jiliang Tang
2018	J	`jnl`	Multi-dimensional Graph Convolutional Networks. CoRR Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2018	B	`conf`	Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. ASONAM Tyler Derr, Zhiwei Wang, Jiliang Tang
2018	A*	`conf`	Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. KDD Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin
2018	J	`jnl`	Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. CoRR Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin
2018	J	`jnl`	Reinforcement Learning for Online Information Seeking. CoRR Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin
2018	J	`jnl`	Signed Graph Convolutional Network. CoRR Tyler Derr, Yao Ma, Jiliang Tang
2018	A*	`conf`	Signed Graph Convolutional Networks. ICDM Tyler Derr, Yao Ma, Jiliang Tang
2018	A	`conf`	Signed Network Modeling Based on Structural Balance Theory. CIKM Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2018	—	`conf`	Toward End-to-End Deception Detection in Videos. IEEE BigData Hamid Karimi, Jiliang Tang, Yanen Li
2018	J	`jnl`	Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang
2018	J	`jnl`	Understanding and Identifying Rhetorical Questions in Social Media. ACM Trans. Intell. Syst. Technol. Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2018	A*	`conf`	Understanding and Predicting Delay in Reciprocal Relations. WWW Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2018	A	`conf`	Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. WACV Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li
2017	J	`jnl`	A Survey on Dialogue Systems: Recent Advances and New Frontiers. CoRR Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2017	J	`jnl`	A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2017	A	`conf`	Attributed Network Embedding for Learning in a Dynamic Environment. CIKM Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017	J	`jnl`	Attributed Network Embedding for Learning in a Dynamic Environment. CoRR Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017	A	`conf`	Attributed Signed Network Embedding. CIKM Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu
2017	A*	`conf`	CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li
2017	A	`conf`	Delving Deep into Personal Photo and Video Search. WSDM Lu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, Alexander G. Hauptmann
2017	A	`conf`	Embedded Supervised Feature Selection for Multi-class Data. SDM Lin Chen, Jiliang Tang, Baoxin Li
2017	A	`conf`	Exploiting Hierarchical Structures for Unsupervised Feature Selection. SDM Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu
2017	—	`conf`	Exploring Transfer Learning for Crime Prediction. ICDM Workshops Xiangyu Zhao, Jiliang Tang
2017	J	`jnl`	Facilitating Time Critical Information Seeking in Social Media. IEEE Trans. Knowl. Data Eng. Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2017	J	`jnl`	Fake News Detection on Social Media: A Data Mining Perspective. CoRR Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017	J	`jnl`	Fake News Detection on Social Media: A Data Mining Perspective. SIGKDD Explor. Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017	—	`ch.`	Feature Selection. Encyclopedia of Machine Learning and Data Mining Suhang Wang, Jiliang Tang, Huan Liu
2017	J	`jnl`	Large-Scale Location Prediction for Web Pages. IEEE Trans. Knowl. Data Eng. Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang
2017	J	`jnl`	Learning Word Representations for Sentiment Analysis. Cogn. Comput. Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, Erik Cambria
2017	A*	`conf`	Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting. KDD Guo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo
2017	A	`conf`	Modeling Temporal-Spatial Correlations for Crime Prediction. CIKM Xiangyu Zhao, Jiliang Tang
2017	—	`conf`	Network Embedding with Centrality Information. ICDM Workshops Yao Ma, Suhang Wang, Jiliang Tang
2017	—	`conf`	Predicting Weight Loss with Enemble Methods. ICDM Workshops Zhiwei Wang, Jiliang Tang
2017	J	`jnl`	Preserving Local and Global Information for Network Embedding. CoRR Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang
2017	A	`conf`	Price Recommendation on Vacation Rental Websites. SDM Yang Li, Suhang Wang, Tao Yang, Quan Pan, Jiliang Tang
2017	A*	`conf`	Reconstruction-based Unsupervised Feature Selection: An Embedded Approach. IJCAI Jundong Li, Jiliang Tang, Huan Liu
2017	A	`conf`	Signed Network Embedding in Social Media. SDM Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu
2017	J	`jnl`	Signed Network Modeling Based on Structural Balance Theory. CoRR Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2017	J	`jnl`	Signed Node Relevance Measurements. CoRR Tyler Derr, Chenxing Wang, Suhang Wang, Jiliang Tang
2017	A*	`conf`	Streaming Recommender Systems. WWW Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017	J	`jnl`	Twitter summarization with social-temporal context. World Wide Web Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu, Jianwu Dang
2017	A*	`conf`	Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
2017	J	`jnl`	Understanding and Predicting Delay in Reciprocal Relations. CoRR Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2017	A	`conf`	Understanding and Predicting Weight Loss with Mobile Social Networking Data. CIKM Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang
2017	B	`conf`	Understanding compromised accounts on Twitter. WI Courtland VanDam, Jiliang Tang, Pang-Ning Tan
2017	A*	`conf`	Unsupervised Sentiment Analysis with Signed Social Networks. AAAI Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
2017	A*	`conf`	What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. WWW Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu
2016	J	`jnl`	A Survey of Signed Network Mining in Social Media. ACM Comput. Surv. Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu
2016	A	`conf`	Exploiting Emotional Information for Trust/Distrust Prediction. SDM Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu
2016	A	`conf`	Exploring Personal Attributes from Unprotected Interactions. ICWSM Pritam Gundecha, Jiliang Tang, Xia Hu, Huan Liu
2016	J	`jnl`	Feature Selection: A Data Perspective. CoRR Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2016	J	`jnl`	Hierarchical Attention Network for Action Recognition in Videos. CoRR Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang, Baoxin Li
2016	A	`conf`	Identifying Rhetorical Questions in Social Media. ICWSM Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016	A	`conf`	Learning to Rewrite Queries. CIKM Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang
2016	A	`conf`	Linked Document Embedding for Classification. CIKM Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	J	`jnl`	Multi-document summarization via group sparse learning. Inf. Sci. Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang
2016	A	`conf`	Node Classification in Signed Social Networks. SDM Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	A*	`conf`	PPP: Joint Pointwise and Pairwise Image Label Prediction. CVPR Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
2016	A	`conf`	Paired Restricted Boltzmann Machine for Linked Data. CIKM Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu
2016	A*	`conf`	Positive-Unlabeled Learning in Streaming Networks. KDD Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	A*	`conf`	Predicting Online Protest Participation of Social Media Users. AAAI Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016	A*	`conf`	Ranking Relevance in Yahoo Search. KDD Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang
2016	A*	`conf`	Recommendation with Social Dimensions. AAAI Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016	A*	`conf`	Recommendations in Signed Social Networks. WWW Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016	A	`conf`	Signed Link Analysis in Social Media Networks. ICWSM Ghazaleh Beigi, Jiliang Tang, Huan Liu
2016	J	`jnl`	Signed Link Analysis in Social Media Networks. CoRR Ghazaleh Beigi, Jiliang Tang, Huan Liu
2016	J	`jnl`	Streaming Recommender Systems. CoRR Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	J	`jnl`	The good, the bad, and the ugly: uncovering novel research opportunities in social media mining. Int. J. Data Sci. Anal. Huan Liu, Fred Morstatter, Jiliang Tang, Reza Zafarani
2016	A*	`conf`	Timeline Summarization from Social Media with Life Cycle Models. IJCAI Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
2016	A	`conf`	Understanding and Identifying Advocates for Political Campaigns on Social Media. WSDM Suhas Ranganath, Xia Hu, Jiliang Tang, Huan Liu
2016	J	`jnl`	User Identity Linkage across Online Social Networks: A Review. SIGKDD Explor. Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, Huan Liu
2015	J	`jnl`	A Survey of Signed Network Mining in Social Media. CoRR Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu
2015	J	`jnl`	Addressing the cold-start problem in location recommendation using geo-social correlations. Data Min. Knowl. Discov. Huiji Gao, Jiliang Tang, Huan Liu
2015	A*	`conf`	Content-Aware Point of Interest Recommendation on Location-Based Social Networks. AAAI Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2015	—	`conf`	Context-Aware Experience Extraction from Online Health Forums. ICHI Yunzhong Liu, Yi Chen, Jiliang Tang, Huan Liu
2015	A*	`conf`	Embedded Unsupervised Feature Selection. AAAI Suhang Wang, Jiliang Tang, Huan Liu
2015	A*	`conf`	Exploring Implicit Hierarchical Structures for Recommender Systems. IJCAI Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2015	A*	`conf`	Finding Time-Critical Responses for Information Seeking in Social Media. ICDM Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2015	A*	`conf`	Heterogeneous Network Embedding via Deep Architectures. KDD Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2015	A*	`conf`	Leveraging Social Foci for Information Seeking in Social Media. AAAI Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
2015	J	`jnl`	Leveraging Social Foci for Information Seeking in Social Media. CoRR Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
2015	A*	`conf`	Modeling Status Theory in Trust Prediction. AAAI Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai
2015	A	`conf`	Negative Link Prediction in Social Media. WSDM Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2015	J	`jnl`	Predicting Online Protest Participation of Social Media Users. CoRR Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Huan Liu
2015	A	`conf`	Propagation-based Sentiment Analysis for Microblogging Data. SDM Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu
2015	A	`conf`	Toward Dual Roles of Users in Recommender Systems. CIKM Suhang Wang, Jiliang Tang, Huan Liu
2015	J	`jnl`	Trust Evolution: Modeling and Its Applications. IEEE Trans. Knowl. Data Eng. Jiliang Tang, Huiji Gao, Atish Das Sarma, Yingzhou Bi, Huan Liu
2015	—	`book`	Trust in Social Media Jiliang Tang, Huan Liu
2015	A*	`conf`	Unsupervised Sentiment Analysis for Social Media Images. IJCAI Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
2015	A	`conf`	Unsupervised Streaming Feature Selection in Social Media. CIKM Jundong Li, Xia Hu, Jiliang Tang, Huan Liu
2014	—	`conf`	Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks. HT Mohammad Ali Abbasi, Reza Zafarani, Jiliang Tang, Huan Liu
2014	J	`jnl`	An Unsupervised Feature Selection Framework for Social Media Data. IEEE Trans. Knowl. Data Eng. Jiliang Tang, Huan Liu
2014	A	`conf`	Discriminant Analysis for Unsupervised Feature Selection. SDM Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2014	—	`ch.`	Feature Selection for Classification: A Review. Data Classification: Algorithms and Applications Jiliang Tang, Salem Alelyani, Huan Liu
2014	J	`jnl`	Feature Selection for Social Media Data. ACM Trans. Knowl. Discov. Data Jiliang Tang, Huan Liu
2014	—	`conf`	Is distrust the negation of trust?: the value of distrust in social media. HT Jiliang Tang, Xia Hu, Huan Liu
2014	A*	`conf`	Leveraging knowledge across media for spammer detection in microblogging. SIGIR Xia Hu, Jiliang Tang, Huan Liu
2014	J	`jnl`	Negative Link Prediction in Social Media. CoRR Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2014	A*	`conf`	Online Social Spammer Detection. AAAI Xia Hu, Jiliang Tang, Huan Liu
2014	A	`conf`	Personalized location recommendation on location-based social networks. RecSys Huiji Gao, Jiliang Tang, Huan Liu
2014	A	`conf`	Predictability of Distrust with Interaction Data. CIKM Jiliang Tang, Xia Hu, Yi Chang, Huan Liu
2014	A*	`conf`	Recommendation in social media: recent advances and new frontiers. KDD Jiliang Tang, Jie Tang, Huan Liu
2014	—	`conf`	Scalable learning of users' preferences using networked data. HT Mohammad Ali Abbasi, Jiliang Tang, Huan Liu
2014	A*	`conf`	Social Spammer Detection with Sentiment Information. ICDM Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2014	—	`conf`	Trust Prediction with Temporal Dynamics. WAIM Guoyong Cai, Jiliang Tang, Yiming Wen
2014	—	`conf`	Trust in social computing. WWW (Companion Volume) Jiliang Tang, Huan Liu
2014	J	`jnl`	User Vulnerability and Its Reduction on a Social Networking Site. ACM Trans. Knowl. Discov. Data Pritam Gundecha, Geoffrey Barbier, Jiliang Tang, Huan Liu
2013	A	`conf`	ActNeT: Active Learning for Networked Texts in Microblogging. SDM Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2013	A	`conf`	CoSelect: Feature Selection with Instance Selection for Social Media Data. SDM Jiliang Tang, Huan Liu
2013	A	`conf`	Context-aware review helpfulness rating prediction. RecSys Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013	A*	`conf`	Exploiting Local and Global Social Context for Recommendation. IJCAI Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013	A	`conf`	Exploiting homophily effect for trust prediction. WSDM Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013	A	`conf`	Exploiting social relations for sentiment analysis in microblogging. WSDM Xia Hu, Lei Tang, Jiliang Tang, Huan Liu
2013	A	`conf`	Exploring temporal effects for location recommendation on location-based social networks. RecSys Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2013	—	`ch.`	Feature Selection for Clustering: A Review. Data Clustering: Algorithms and Applications Salem Alelyani, Jiliang Tang, Huan Liu
2013	J	`jnl`	Mining social media with social theories: a survey. SIGKDD Explor. Jiliang Tang, Yi Chang, Huan Liu
2013	A	`conf`	Modeling temporal effects of human mobile behavior on location-based social networks. CIKM Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2013	B	`conf`	Network denoising in social media. ASONAM Huiji Gao, Xufei Wang, Jiliang Tang, Huan Liu
2013	A*	`conf`	Social Spammer Detection in Microblogging. IJCAI Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu
2013	J	`jnl`	Social recommendation: a review. Soc. Netw. Anal. Min. Jiliang Tang, Xia Hu, Huan Liu
2013	A	`conf`	Unsupervised Feature Selection for Multi-View Data in Social Media. SDM Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013	A*	`conf`	Unsupervised sentiment analysis with emotional signals. WWW Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2012	J	`jnl`	Enriching short text representation in microblog for clustering. Frontiers Comput. Sci. China Jiliang Tang, Xufei Wang, Huiji Gao, Xia Hu, Huan Liu
2012	A	`conf`	Exploring Social-Historical Ties on Location-Based Social Networks. ICWSM Huiji Gao, Jiliang Tang, Huan Liu
2012	A	`conf`	Feature Selection with Linked Data in Social Media. SDM Jiliang Tang, Huan Liu
2012	A*	`conf`	Unsupervised feature selection for linked social media data. KDD Jiliang Tang, Huan Liu
2012	A*	`conf`	eTrust: understanding trust evolution in an online world. KDD Jiliang Tang, Huiji Gao, Huan Liu, Atish Das Sarma
2012	A	`conf`	gSCorr: modeling geo-social correlations for new check-ins on location-based social networks. CIKM Huiji Gao, Jiliang Tang, Huan Liu
2012	A	`conf`	mTrust: discerning multi-faceted trust in a connected world. WSDM Jiliang Tang, Huiji Gao, Huan Liu
2011	A*	`conf`	Document Clustering via Matrix Representation. ICDM Xufei Wang, Jiliang Tang, Huan Liu
2011	—	`conf`	Integrating Social Media Data for Community Detection. MSM/MUSE Jiliang Tang, Xufei Wang, Huan Liu