Suhang Wang - RankMe

330 papers A* 62A 47B 9Journal 176Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction. CoRR Ruihao Pan, Suhang Wang
2026	J	`jnl`	A Systemic Evaluation of Multimodal RAG Privacy. CoRR Ali Al-Lawati, Suhang Wang
2026	J	`jnl`	Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks. CoRR Jiahao Zhang, Yilong Wang, Suhang Wang
2026	J	`jnl`	Bilevel Network Modeling and Risk Transmission in Heterogeneous Financial Data. Complex. Suhang Wang, Yuhua Xu, Yifeng Wei
2026	—	`conf`	Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. EACL (Findings) Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2026	J	`jnl`	DeepSanitizer: Combining Heuristic Rules and Deep Learning Models to Spot Silent Buffer Overflows in Binary. IEEE Trans. Dependable Secur. Comput. Zhilong Wang, Chen Cao, Li Yu, Suhang Wang, Xiaoyan Sun, Peng Liu
2026	J	`jnl`	DiffKGW: Stealthy and Robust Diffusion Model Watermarking. Trans. Mach. Learn. Res. Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang
2026	A*	`conf`	GPR: Empowering Generation with Graph-Pretrained Retriever. WWW Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2026	J	`jnl`	GraphSkill: Documentation-Guided Hierarchical Retrieval-Augmented Coding for Complex Graph Reasoning. CoRR Fali Wang, Chenglin Weng, Xianren Zhang, Siyuan Hong, Hui Liu, Suhang Wang
2026	J	`jnl`	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang
2026	—	`conf`	Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. EACL (Volume 1: Long Papers) Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
2026	J	`jnl`	MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution. CoRR Minhua Lin, Zhiwei Zhang, Hanqing Lu, Hui Liu, Xianfeng Tang, Qi He, Xiang Zhang, Suhang Wang
2026	J	`jnl`	Position: Agentic Evolution is the Path to Evolving LLMs. CoRR Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoît Dumoulin, Jian Pei
2026	J	`jnl`	QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals. CoRR Nan Zhang, Eugene Kwek, Yusen Zhang, Muyu Pan, Suhang Wang, Prasenjit Mitra, Rui Zhang
2026	J	`jnl`	Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems. CoRR Shuhua Yang, Jiahao Zhang, Yilong Wang, Dongwon Lee, Suhang Wang
2026	A*	`conf`	SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis. AAAI Haitong Luo, Weiyao Zhang, Suhang Wang, Wenji Zou, Chungang Lin, Xuying Meng, Yujun Zhang
2026	—	`conf`	ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers. EACL (Volume 1: Long Papers) Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, Xingbo Wang, Bingqing Wang, Suhang Wang, Zhe Feng
2026	J	`jnl`	URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models. CoRR Vinh Nguyen, Cuong Dang, Jiahao Zhang, Hoa Tran, Minh Tran, Trinh Chau, Thai Le, Lu Cheng, Suhang Wang
2026	A	`conf`	Unlearning Inversion Attacks for Graph Neural Networks. WSDM Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2025	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. ACM Trans. Intell. Syst. Technol. Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2025	J	`jnl`	A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2025	J	`jnl`	A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains. CoRR Xianren Zhang, Shreyas Prasad, Di Wang, Qiuhai Zeng, Suhang Wang, Wenbo Yan, Mat Hans
2025	—	`conf`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. ACL (Findings) Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	J	`jnl`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	J	`jnl`	A Survey on Collaborating Small and Large Language Models for Performance, Cost-effectiveness, Cloud-edge Privacy, and Trustworthiness. CoRR Fali Wang, Jihai Chen, Shuhua Yang, Ali Al-Lawati, Linli Tang, Hui Liu, Suhang Wang
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	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	J	`jnl`	AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. CoRR Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang
2025	—	`conf`	Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks. KDD (2) Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
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	J	`jnl`	BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions. CoRR Saptarshi Sengupta, Shuhua Yang, Paul Kwong Yu, Fali Wang, Suhang Wang
2025	J	`jnl`	Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. CoRR Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang
2025	A	`conf`	Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs. WSDM Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang
2025	J	`jnl`	Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs. CoRR Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang
2025	A*	`conf`	Catastrophic Failure of LLM Unlearning via Quantization. ICLR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2025	J	`jnl`	Counterfactual Learning on Graphs: A Survey. Mach. Intell. Res. Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
2025	J	`jnl`	Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking. CoRR Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed Elkoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma
2025	—	`conf`	Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL (Findings) Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2025	J	`jnl`	Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack. CoRR Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025	J	`jnl`	DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules. CoRR Junjie Xu, Jiahao Zhang, Mangal Prakash, Xiang Zhang, Suhang Wang
2025	J	`jnl`	Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning. CoRR Yilong Wang, Jiahao Zhang, Tianxiang Zhao, Suhang Wang
2025	B	`conf`	Exploring Language Model Generalization in Low-Resource Extractive QA. COLING Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang
2025	J	`jnl`	Exposing Privacy Risks in Graph Retrieval-Augmented Generation. CoRR Jiale Liu, Jiahao Zhang, Suhang Wang
2025	A*	`conf`	Fairness-aware Prompt Tuning for Graph Neural Networks. WWW Zhengpin Li, Minhua Lin, Jian Wang, Suhang Wang
2025	—	`conf`	GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs. EMNLP (Findings) Ali Al-Lawati, Jason Lucas, Zhiwei Zhang, Prasenjit Mitra, Suhang Wang
2025	J	`jnl`	GPR: Empowering Generation with Graph-Pretrained Retriever. CoRR Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2025	J	`jnl`	Generalize across Homophily and Heterophily: Hybrid Spectral Graph Pre-Training and Prompt Tuning. CoRR Haitong Luo, Suhang Wang, Weiyao Zhang, Ruiqi Meng, Xuying Meng, Yujun Zhang
2025	J	`jnl`	Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. CoRR Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang
2025	J	`jnl`	Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints. CoRR Ali Al-Lawati, Jason Lucas, Zhiwei Zhang, Prasenjit Mitra, Suhang Wang
2025	J	`jnl`	How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. CoRR Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang
2025	J	`jnl`	Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. CoRR Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
2025	J	`jnl`	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal
2025	B	`conf`	LLM and GNN Are Complementary: Distilling LLM for Multimodal Graph Learning. IEEE Big Data Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang
2025	J	`jnl`	LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. CoRR Zongyu Wu, Yuwei Niu, Hongcheng Gao, Minhua Lin, Zhiwei Zhang, Zhifang Zhang, Qi Shi, Yilong Wang, Sike Fu, Junjie Xu, Junjie Ao, Enyan Dai, Lei Feng, Xiang Zhang, Suhang Wang
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	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. SIGKDD Explor. Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2025	—	`conf`	PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection. KDD (2) Enyan Dai, Minhua Lin, Suhang Wang
2025	J	`jnl`	ROPU: A robust online positive-unlabeled learning algorithm. Knowl. Based Syst. Xijun Liang, Kaili Zhu, An Xiao, Ya Wen, Kaili Zhang, Suhang Wang, Ling Jian
2025	A*	`conf`	Robustness Inspired Graph Backdoor Defense. ICLR Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
2025	A*	`conf`	SUA: Stealthy Multimodal Large Language Model Unlearning Attack. EMNLP Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025	J	`jnl`	Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs. CoRR Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Joy Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Benoît Dumoulin, Hanghang Tong
2025	—	`conf`	SmGNN: Link Prediction in Sparse Layers of Multi-layer Graphs. WebSci Huaisheng Zhu, Tianxiang Zhao, Zongyu Wu, Suhang Wang
2025	J	`jnl`	SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis. CoRR Haitong Luo, Weiyao Zhang, Suhang Wang, Wenji Zou, Chungang Lin, Xuying Meng, Yujun Zhang
2025	—	`conf`	Stealing Training Graphs from Graph Neural Networks. KDD (1) Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
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	B	`conf`	TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering. COLING Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Wenpeng Yin, Preslav Nakov, Suhang Wang
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	J	`jnl`	ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers. CoRR Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, Xingbo Wang, Bingqing Wang, Suhang Wang, Zhe Feng
2025	J	`jnl`	Towards Graph Foundation Models: A Transferability Perspective. CoRR Yuxiang Wang, Wenqi Fan, Suhang Wang, Yao Ma
2025	J	`jnl`	Towards Prototype-Based Self-Explainable Graph Neural Network. ACM Trans. Knowl. Discov. Data Enyan Dai, Suhang Wang
2025	A	`conf`	Towards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation. CIKM Yilong Wang, Jiahao Zhang, Tianxiang Zhao, Suhang Wang
2025	J	`jnl`	Unlearning Inversion Attacks for Graph Neural Networks. CoRR Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2025	J	`jnl`	Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. CoRR Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang
2025	A*	`conf`	xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. ICDM Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2025	J	`jnl`	xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. CoRR Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2024	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. CoRR Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
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	—	`conf`	A Simulation Model of Control System for a Lightweight Space Active Mirror. ICAIT Kainan Wang, Yang Yi, Xuemin Zhang, Suhang Wang
2024	J	`jnl`	A Survey of Calibration Process for Black-Box LLMs. CoRR Liangru Xie, Hui Liu, Jingying Zeng, Xianfeng Tang, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Qi He
2024	A	`conf`	Active Learning for Graphs with Noisy Structures. SDM Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
2024	J	`jnl`	Active Learning for Graphs with Noisy Structures. CoRR Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
2024	A*	`conf`	Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. KDD Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
2024	J	`jnl`	Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. CoRR Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
2024	B	`conf`	Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. DSAA Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu
2024	—	`conf`	AmGNN: A Framework for Adaptive Processing of Inter-layer Information in Multi-layer Graph. ASONAM (1) Huaisheng Zhu, Zongyu Wu, Tianxiang Zhao, Suhang Wang
2024	—	`conf`	Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector. ECCV (81) Xianren Zhang, Dongwon Lee, Suhang Wang
2024	J	`jnl`	Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector. CoRR Xianren Zhang, Dongwon Lee, Suhang Wang
2024	J	`jnl`	Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. CoRR Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2024	A*	`conf`	Disambiguated Node Classification with Graph Neural Networks. WWW Tianxiang Zhao, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Disambiguated Node Classification with Graph Neural Networks. CoRR Tianxiang Zhao, Xiang Zhang, Suhang Wang
2024	A	`conf`	Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels. WSDM Fali Wang, Tianxiang Zhao, Suhang Wang
2024	J	`jnl`	Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels. CoRR Fali Wang, Tianxiang Zhao, Suhang Wang
2024	J	`jnl`	Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions. CoRR Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2024	J	`jnl`	Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. CoRR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2024	A*	`conf`	Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. ICML Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar
2024	J	`jnl`	Enhance Graph Alignment for Large Language Models. CoRR Haitong Luo, Xuying Meng, Suhang Wang, Tianxiang Zhao, Fali Wang, Hanyun Cao, Yujun Zhang
2024	J	`jnl`	Enhancing Data-Limited Graph Neural Networks by Actively Distilling Knowledge from Large Language Models. CoRR Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang
2024	B	`conf`	Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models. IEEE Big Data Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang
2024	J	`jnl`	Exploring Language Model Generalization in Low-Resource Extractive QA. CoRR Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang
2024	J	`jnl`	Future-generation attack and defense in neural networks. Future Gener. Comput. Syst. Yang Li, Dongrui Wu, Suhang Wang
2024	—	`conf`	Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
2024	J	`jnl`	Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han
2024	A	`conf`	HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training. CIKM Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang
2024	J	`jnl`	HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training. CoRR Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang
2024	—	`conf`	Hierarchical Query Classification in E-commerce Search. WWW (Companion Volume) Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
2024	J	`jnl`	Hierarchical Query Classification in E-commerce Search. CoRR Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
2024	J	`jnl`	Imbalanced Node Classification With Synthetic Over-Sampling. IEEE Trans. Knowl. Data Eng. Tianxiang Zhao, Xiang Zhang, Suhang Wang
2024	—	`conf`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. EMNLP (Findings) Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	—	`conf`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. VLDB Workshops Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	J	`jnl`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. CoRR Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	A	`conf`	Interpretable Imitation Learning with Dynamic Causal Relations. WSDM Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	J	`jnl`	LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. CoRR Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang
2024	A*	`conf`	Language Models as Semantic Indexers. ICML Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
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	A*	`conf`	LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. ICDE Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024	A*	`conf`	Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. KDD Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. CoRR Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2024	J	`jnl`	PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection. CoRR Enyan Dai, Minhua Lin, Suhang Wang
2024	A*	`conf`	Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. KDD Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
2024	J	`jnl`	Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. CoRR Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
2024	J	`jnl`	Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. CoRR Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
2024	A	`conf`	Shape-aware Graph Spectral Learning. CIKM Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024	A*	`conf`	Spectral-Based Graph Neural Networks for Complementary Item Recommendation. AAAI Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang
2024	J	`jnl`	Spectral-based Graph Neural Networks for Complementary Item Recommendation. CoRR Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang
2024	J	`jnl`	Stealing Training Graphs from Graph Neural Networks. CoRR Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback. CoRR Teng Xiao, Suhang Wang
2024	A*	`conf`	Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. ICLR Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024	J	`jnl`	Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024	J	`jnl`	Trojan Prompt Attacks on Graph Neural Networks. CoRR Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
2024	—	`conf`	Universal Prompt Optimizer for Safe Text-to-Image Generation. NAACL-HLT Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Universal Prompt Optimizer for Safe Text-to-Image Generation. CoRR Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang
2023	A*	`conf`	A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. KDD Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023	J	`jnl`	A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. CoRR Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
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	A*	`conf`	Certifiably Robust Graph Contrastive Learning. NeurIPS Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Certifiably Robust Graph Contrastive Learning. CoRR Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Counterfactual Learning on Graphs: A Survey. CoRR Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
2023	J	`jnl`	Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	A*	`conf`	Exploiting Intent Evolution in E-commercial Query Recommendation. KDD Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu
2023	J	`jnl`	Fairness-aware Message Passing for Graph Neural Networks. CoRR Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
2023	J	`jnl`	Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. CoRR Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. ACM Trans. Intell. Syst. Technol. Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective. CoRR Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang 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`	Language Models As Semantic Indexers. CoRR Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
2023	J	`jnl`	Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information. IEEE Trans. Knowl. Data Eng. Enyan Dai, Suhang Wang
2023	J	`jnl`	Learning Graph Filters for Spectral GNNs via Newton Interpolation. CoRR Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Learning How to Propagate Messages in Graph Neural Networks. CoRR Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
2023	J	`jnl`	Learning fair models without sensitive attributes: A generative approach. Neurocomputing Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang
2023	—	`conf`	Outlier Detection and Correction for Time Series Data of Tunnel Boring Machine. ICIRA (6) Yitang Wang, Suhang Wang, Yong Pang, Xueguan Song
2023	J	`jnl`	Recent Developments in Recommender Systems: A Survey. CoRR Yang Li, Kangbo Liu, Ranjan Satapathy, Suhang Wang, Erik Cambria
2023	A*	`conf`	Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. KDD Teng Xiao, Zhengyu Chen, Suhang Wang
2023	A	`conf`	STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation. RecSys Wanda Li, Wenhao Zheng, Xuanji Xiao, Suhang Wang
2023	J	`jnl`	STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation. CoRR Wanda Li, Wenhao Zheng, Xuanji Xiao, Suhang Wang
2023	J	`jnl`	Self-Explainable Graph Neural Networks for Link Prediction. CoRR Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
2023	A*	`conf`	Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
2023	J	`jnl`	Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
2023	A*	`conf`	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	A	`conf`	Towards Fair Graph Neural Networks via Graph Counterfactual. CIKM Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
2023	A	`conf`	Towards Faithful and Consistent Explanations for Graph Neural Networks. WSDM Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	A*	`conf`	Unnoticeable Backdoor Attacks on Graph Neural Networks. WWW Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Unnoticeable Backdoor Attacks on Graph Neural Networks. CoRR Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
2023	—	`conf`	You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. PAKDD (2) Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang
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	A*	`conf`	Decoupled Self-supervised Learning for Graphs. NeurIPS Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
2022	J	`jnl`	Decoupled Self-supervised Learning for Non-Homophilous Graphs. CoRR Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
2022	A*	`conf`	Exploring Edge Disentanglement for Node Classification. WWW Tianxiang Zhao, Xiang Zhang, Suhang Wang
2022	J	`jnl`	Exploring Edge Disentanglement for Node Classification. CoRR Tianxiang Zhao, Xiang Zhang, Suhang Wang
2022	A	`conf`	Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
2022	A*	`conf`	HP-GMN: Graph Memory Networks for Heterophilous Graphs. ICDM Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
2022	J	`jnl`	HP-GMN: Graph Memory Networks for Heterophilous Graphs. CoRR Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
2022	J	`jnl`	Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. Neuroinformatics Wen Zhang, B. Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
2022	—	`conf`	Label-Wise Graph Convolutional Network for Heterophilic Graphs. LoG Enyan Dai, Shijie Zhou, Zhimeng Guo, Suhang Wang
2022	J	`jnl`	Learning Fair Models without Sensitive Attributes: A Generative Approach. CoRR Huaisheng Zhu, Suhang Wang
2022	J	`jnl`	Link Prediction on Heterophilic Graphs via Disentangled Representation Learning. CoRR Shijie Zhou, Zhimeng Guo, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2022	J	`jnl`	On Consistency in Graph Neural Network Interpretation. CoRR Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2022	A	`conf`	Representation Matters When Learning From Biased Feedback in Recommendation. CIKM Teng Xiao, Zhengyu Chen, Suhang Wang
2022	J	`jnl`	Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks. CoRR Tianxiang Zhao, Xiang Zhang, Suhang Wang
2022	—	`conf`	TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. LoG Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2022	J	`jnl`	TopoImb: Toward Topology-level Imbalance in Learning from Graphs. CoRR Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2022	J	`jnl`	Towards Bridging Algorithm and Theory for Unbiased Recommendation. CoRR Teng Xiao, Zhengyu Chen, Suhang Wang
2022	A	`conf`	Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. WSDM Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
2022	A*	`conf`	Towards Off-Policy Learning for Ranking Policies with Logged Feedback. AAAI Teng Xiao, Suhang Wang
2022	J	`jnl`	Towards Prototype-Based Self-Explainable Graph Neural Network. CoRR Enyan Dai, Suhang Wang
2022	A	`conf`	Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. WSDM Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
2022	J	`jnl`	Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. CoRR Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
2022	A	`conf`	Towards Unbiased and Robust Causal Ranking for Recommender Systems. WSDM Teng Xiao, Suhang Wang
2021	A	`conf`	Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. WSDM Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
2021	A	`conf`	Functional Autoencoders for Functional Data Representation Learning. SDM Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
2021	A*	`conf`	Graph Adversarial Attack via Rewiring. KDD Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
2021	J	`jnl`	Graph Routing between Capsules. CoRR Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger
2021	J	`jnl`	Graph routing between capsules. Neural Networks Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger
2021	A	`conf`	GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. WSDM Tianxiang Zhao, Xiang Zhang, Suhang Wang
2021	J	`jnl`	GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. CoRR Tianxiang Zhao, Xiang Zhang, Suhang Wang
2021	J	`jnl`	Interactive Anomaly Detection in Dynamic Communication Networks. IEEE/ACM Trans. Netw. Xuying Meng, Yequan Wang, Suhang Wang, Di Yao, Yujun Zhang
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`	Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs. CoRR Enyan Dai, Zhimeng Guo, Suhang Wang
2021	A*	`conf`	Labeled Data Generation with Inexact Supervision. KDD Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
2021	J	`jnl`	Labeled Data Generation with Inexact Supervision. CoRR Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
2021	A*	`conf`	Learning How to Propagate Messages in Graph Neural Networks. KDD Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
2021	A*	`conf`	NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. KDD Enyan Dai, Charu Aggarwal, Suhang Wang
2021	J	`jnl`	NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. CoRR Enyan Dai, Charu C. Aggarwal, Suhang Wang
2021	A*	`conf`	Neural Utility Functions. AAAI Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li
2021	A	`conf`	Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. WSDM Enyan Dai, Suhang Wang
2021	J	`jnl`	Semi-Supervised Graph-to-Graph Translation. CoRR Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2021	J	`jnl`	Semi-supervised anomaly detection in dynamic communication networks. Inf. Sci. Xuying Meng, Suhang Wang, Zhimin Liang, Di Yao, Jihua Zhou, Yujun Zhang
2021	J	`jnl`	Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis. CoRR Zhilong Wang, Li Yu, Suhang Wang, Peng Liu
2021	A*	`conf`	SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. WWW Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar
2021	J	`jnl`	Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network. CoRR Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, Jianli Chen, Tianxiang Zhao, Enyan Dai
2021	A	`conf`	Towards Self-Explainable Graph Neural Network. CIKM Enyan Dai, Suhang Wang
2021	J	`jnl`	Towards Self-Explainable Graph Neural Network. CoRR Enyan Dai, Suhang Wang
2021	J	`jnl`	You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. CoRR Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
2020	A*	`conf`	Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. WWW Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2020	A*	`conf`	DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. KDD Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
2020	A	`conf`	Deep Multi-Graph Clustering via Attentive Cross-Graph Association. WSDM Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang
2020	J	`jnl`	Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals. CoRR Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
2020	—	`conf`	Exploiting Bluetooth to Enquire Close Contacts Without Privacy Leakage. ML4CS (1) Suhang Wang, Chen Wang, Jian Xu
2020	J	`jnl`	FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information. CoRR Enyan Dai, Suhang Wang
2020	J	`jnl`	FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
2020	A*	`conf`	GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. KDD Thai Le, Suhang Wang, Dongwon Lee
2020	A	`conf`	Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. ICWSM Enyan Dai, Yiwei Sun, Suhang Wang
2020	J	`jnl`	Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. CoRR Enyan Dai, Yiwei Sun, Suhang Wang
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	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 Few-Shot Learning via Knowledge Transfer. AAAI Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
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`	Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. ICWSM Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu
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	—	`conf`	Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection. WebSci Kai Shu, Liangda Li, Suhang Wang, Yunhong Zhou, Huan Liu
2020	A*	`conf`	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. AAAI Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	A*	`conf`	Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. KDD Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
2020	J	`jnl`	Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. CoRR Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
2020	—	`conf`	Learning Latent Perception Graphs for Personalized Unknowns Recommendation. CogMI Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, Huan Liu
2020	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	A*	`conf`	MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. ICDM Thai Le, Suhang Wang, Dongwon Lee
2020	J	`jnl`	MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. CoRR Thai Le, Suhang Wang, Dongwon Lee
2020	J	`jnl`	Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. CoRR Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
2020	J	`jnl`	Popularity prediction on vacation rental websites. Neurocomputing Yang Li, Suhang Wang, Yukun Ma, Quan Pan, Erik Cambria
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	A	`conf`	Semi-Supervised Graph-to-Graph Translation. CIKM Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2020	A	`conf`	Transferring Robustness for Graph Neural Network Against Poisoning Attacks. WSDM Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
2019	—	`conf`	Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection. ICBK Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
2019	J	`jnl`	Attacking Graph Convolutional Networks via Rewiring. CoRR Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang
2019	A	`conf`	Beyond News Contents: The Role of Social Context for Fake News Detection. WSDM Kai Shu, Suhang Wang, Huan Liu
2019	A	`conf`	Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. CIKM Suhang Wang, Charu C. Aggarwal, Huan Liu
2019	J	`jnl`	Disentangled Variational Auto-Encoder for semi-supervised learning. Inf. Sci. Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria
2019	A	`conf`	Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy
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	J	`jnl`	Graph Few-shot Learning via Knowledge Transfer. CoRR Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2019	J	`jnl`	Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. CoRR Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu
2019	J	`jnl`	I Am Not What I Write: Privacy Preserving Text Representation Learning. CoRR Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu
2019	J	`jnl`	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. CoRR Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2019	J	`jnl`	Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowl. Based Syst. Yang Li, Suhang Wang, Quan Pan, Haiyun Peng, Tao Yang, Erik Cambria
2019	A	`conf`	Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. WSDM Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu
2019	A*	`conf`	MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. IJCAI Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019	J	`jnl`	MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. CoRR Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019	A	`conf`	Multi-dimensional Graph Convolutional Networks. SDM Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2019	J	`jnl`	Node Injection Attacks on Graphs via Reinforcement Learning. CoRR Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2019	—	`conf`	Privacy Preserving Text Representation Learning. HT Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu
2019	J	`jnl`	Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning. CoRR Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
2019	B	`conf`	SAME: sentiment-aware multi-modal embedding for detecting fake news. ASONAM Limeng Cui, Suhang Wang, Dongwon Lee
2019	J	`jnl`	The Role of User Profile for Fake News Detection. CoRR Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
2019	B	`conf`	The role of user profiles for fake news detection. ASONAM Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
2019	J	`jnl`	Towards privacy preserving social recommendation under personalized privacy settings. World Wide Web Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2019	A*	`conf`	Unsupervised Fake News Detection on Social Media: A Generative Approach. AAAI Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu
2019	A	`conf`	Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. CIKM Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li
2019	J	`jnl`	Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. CoRR Thai Le, Suhang Wang, Dongwon Lee
2019	A	`conf`	dEFEND: A System for Explainable Fake News Detection. CIKM Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
2019	A*	`conf`	dEFEND: Explainable Fake News Detection. KDD Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu
2018	J	`jnl`	A Generative Model for category text generation. Inf. Sci. Yang Li, Quan Pan, Suhang Wang, Tao Yang, Erik Cambria
2018	A	`conf`	CrossFire: Cross Media Joint Friend and Item Recommendations. WSDM Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2018	A*	`conf`	Deep Headline Generation for Clickbait Detection. ICDM Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu
2018	A*	`conf`	Exploiting Emotion on Reviews for Recommender Systems. AAAI Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang
2018	B	`conf`	Exploiting User Actions for App Recommendations. ASONAM Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo
2018	J	`jnl`	Exploring Hierarchical Structures for Recommender Systems. IEEE Trans. Knowl. Data Eng. Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2018	J	`jnl`	FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. CoRR Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
2018	J	`jnl`	Feature Selection: A Data Perspective. ACM Comput. Surv. Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2018	B	`conf`	Local and Global Information Preserved Network Embedding. ASONAM Yao Ma, Suhang Wang, Jiliang Tang
2018	J	`jnl`	Multi-dimensional Graph Convolutional Networks. CoRR Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2018	—	`conf`	Multimodal Fusion of Brain Networks with Longitudinal Couplings. MICCAI (3) Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
2018	A*	`conf`	Personalized Privacy-Preserving Social Recommendation. AAAI Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2018	J	`jnl`	Random-Forest-Inspired Neural Networks. ACM Trans. Intell. Syst. Technol. Suhang Wang, Charu C. Aggarwal, Huan Liu
2018	A*	`conf`	Towards Interpretation of Recommender Systems with Sorted Explanation Paths. ICDM Fan Yang, Ninghao Liu, Suhang Wang, Xia Hu
2018	—	`conf`	Understanding User Profiles on Social Media for Fake News Detection. MIPR Kai Shu, Suhang Wang, Huan Liu
2018	J	`jnl`	Understanding and Identifying Rhetorical Questions in Social Media. ACM Trans. Intell. Syst. Technol. Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2018	A	`conf`	Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. WACV Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li
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	J	`jnl`	Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications. CoRR Fred Morstatter, Kai Shu, Suhang Wang, Huan Liu
2017	J	`jnl`	Disentangled Variational Auto-Encoder for Semi-supervised Learning. CoRR Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria
2017	A	`conf`	Exploiting Hierarchical Structures for Unsupervised Feature Selection. SDM Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu
2017	J	`jnl`	Exploiting Tri-Relationship for Fake News Detection. CoRR Kai Shu, Suhang Wang, Huan Liu
2017	J	`jnl`	Facilitating Time Critical Information Seeking in Social Media. IEEE Trans. Knowl. Data Eng. Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2017	J	`jnl`	Fake News Detection on Social Media: A Data Mining Perspective. CoRR Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017	J	`jnl`	Fake News Detection on Social Media: A Data Mining Perspective. SIGKDD Explor. Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017	—	`ch.`	Feature Selection. Encyclopedia of Machine Learning and Data Mining Suhang Wang, Jiliang Tang, Huan Liu
2017	J	`jnl`	Learning Word Representations for Sentiment Analysis. Cogn. Comput. Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, Erik Cambria
2017	—	`conf`	Network Embedding with Centrality Information. ICDM Workshops Yao Ma, Suhang 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`	Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. KDD Suhang Wang, Charu C. Aggarwal, 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 Node Relevance Measurements. CoRR Tyler Derr, Chenxing Wang, Suhang Wang, Jiliang Tang
2017	A	`conf`	Using a Random Forest to Inspire a Neural Network and Improving on It. SDM Suhang Wang, Charu C. Aggarwal, Huan Liu
2017	A*	`conf`	What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. WWW Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu
2016	A	`conf`	Exploiting Emotional Information for Trust/Distrust Prediction. SDM Ghazaleh Beigi, Jiliang Tang, Suhang Wang, 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`	Linked Document Embedding for Classification. CIKM Suhang Wang, 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`	Predicting Online Protest Participation of Social Media Users. AAAI Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016	A*	`conf`	Recommendation with Social Dimensions. AAAI Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016	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`	Discriminative graph regularized extreme learning machine and its application to face recognition. Neurocomputing Yong Peng, Suhang Wang, Xianzhong Long, Bao-Liang Lu
2015	A*	`conf`	Embedded Unsupervised Feature Selection. AAAI Suhang Wang, Jiliang Tang, Huan Liu
2015	J	`jnl`	Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning. Neural Networks Yong Peng, Bao-Liang Lu, Suhang Wang
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`	Toward Dual Roles of Users in Recommender Systems. CIKM Suhang Wang, 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
2013	—	`conf`	Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition. ICONIP (2) Yong Peng, Suhang Wang, Shen Wang, Bao-Liang Lu