Wang, Suhang

33 publications

NeurIPS 2025 AgentTTS: Large Language Model Agent for Test-Time Compute-Optimal Scaling Strategy in Complex Tasks Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zhen Li, Xianfeng Tang, Qi He, Suhang Wang

ICLR 2025 Catastrophic Failure of LLM Unlearning via Quantization Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang

NeurIPS 2025 Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed ElKoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma

NeurIPS 2025 DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Junjie Xu, Jiahao Zhang, Mangal Prakash, Xiang Zhang, Suhang Wang

NeurIPS 2025 Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy 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, Hui Liu

ICLR 2025 Robustness Inspired Graph Backdoor Defense Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang

ECCV 2024 Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang, Dongwon Lee, Suhang Wang

ICML 2024 Efficient Contrastive Learning for Fast and Accurate Inference on Graphs Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G Honavar

ICML 2024 Language Models as Semantic Indexers 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

AAAI 2024 Spectral-Based Graph Neural Networks for Complementary Item Recommendation Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang

ICLR 2024 Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang

NeurIPS 2023 Amazon-M2: A Multilingual Multi-Locale Shopping Session Dataset for Recommendation and Text Generation Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

NeurIPS 2023 Certifiably Robust Graph Contrastive Learning Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang

NeurIPS 2023 Simple and Asymmetric Graph Contrastive Learning Without Augmentations Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang

NeurIPS 2022 Decoupled Self-Supervised Learning for Graphs Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang

LoG 2022 Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai, Shijie Zhou, Zhimeng Guo, Suhang Wang

LoG 2022 TopoImb: Toward Topology-Level Imbalance in Learning from Graphs Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

AAAI 2022 Towards Off-Policy Learning for Ranking Policies with Logged Feedback Teng Xiao, Suhang Wang

AAAI 2021 Neural Utility Functions Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li

AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li

AAAI 2020 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang

IJCAI 2019 MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar

AAAI 2019 Unsupervised Fake News Detection on Social Media: A Generative Approach Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu

AAAI 2018 Exploiting Emotion on Reviews for Recommender Systems Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang

AAAI 2018 Personalized Privacy-Preserving Social Recommendation Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang

WACV 2018 Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li

AAAI 2017 CLARE: A Joint Approach to Label Classification and Tag Recommendation Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li

CVPR 2016 PPP: Joint Pointwise and Pairwise Image Label Prediction Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li

AAAI 2016 Predicting Online Protest Participation of Social Media Users Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu

AAAI 2016 Recommendation with Social Dimensions Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu

AAAI 2015 Embedded Unsupervised Feature Selection Suhang Wang, Jiliang Tang, Huan Liu

IJCAI 2015 Exploring Implicit Hierarchical Structures for Recommender Systems Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu

IJCAI 2015 Unsupervised Sentiment Analysis for Social Media Images Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li