| 2026 | AAAI | TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction. | Yujie Chen, Tengfei Ma, Yuansheng Liu, Leyi Wei, Shu Wu, Dongsheng Cao, Yiping Liu, Xiangxiang Zeng |
| 2026 | AAAI | Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator. | Hualei Wang, Na Li, Chuke Wang, Shu Wu, Zhifeng Li, Dong Yu |
| 2026 | AAAI | Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning. | Shu Wu, Chenxing Li, Wenfu Wang, Hao Zhang, Hualei Wang, Meng Yu, Dong Yu |
| 2026 | ACL | When Safety Alignment Fails to Generalize: Probing with Language Game Jailbreaks. | Zewen Long, Yu Peng, Fangming Dong, Congyi Li, Xingmao Guan, Shu Wu, Kai Chen |
| 2026 | ACL | Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing. | Tingyu Song, Yanzhao Zhang, Mingxin Li, Zhuoning Guo, Dingkun Long, Pengjun Xie, Siyue Zhang, Yilun Zhao, Shu Wu |
| 2026 | ACL | RLShield: Dynamic Jailbreak Detection for LLMs via Reinforced Adaptive Learning. | Zhao Tong, Pengfei Yang, Yimeng Gu, Haichao Shi, Qiang Liu, Xingcheng Xu, Shu Wu, Xiao-Yu Zhang |
| 2026 | ACL | Reinforcement Learning-Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection. | Mengyu Xiang, Tinghao Chen, Boxu Han, Qiudan Li, Shu Wu, Daniel Dajun Zeng |
| 2026 | SIGIR | OPS: An Order-Preserving Sorting Network for Information Retrieval. | Chao Wang, Yongxiang Tang, Guikai Luan, Kaiyuan Li, Yanhua Cheng, Xialong Liu, Shu Wu, Peng Jiang |
| 2026 | SP | LLM Unlearning Should Be Form-Independent. | Xiaotian Ye, Mengqi Zhang, Shu Wu |
| 2025 | ACL | Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG. | Xin Sun, Jianan Xie, Zhongqi Chen, Qiang Liu, Shu Wu, Yuehe Chen, Bowen Song, Zilei Wang, Weiqiang Wang, Liang Wang |
| 2025 | ACL | Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling. | Zhao Tong, Yimeng Gu, Huidong Liu, Qiang Liu, Shu Wu, Haichao Shi, Xiao-Yu Zhang |
| 2025 | ACL | Personalized Text Generation with Contrastive Activation Steering. | Jinghao Zhang, Yuting Liu, Wenjie Wang, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua |
| 2025 | ACL | SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection. | Mingqing Zhang, Qiang Liu, Xiang Tao, Shu Wu, Liang Wang |
| 2025 | EMNLP | Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models. | Qiang Liu, Xinlong Chen, Yue Ding, Bowen Song, Weiqiang Wang, Shu Wu, Liang Wang |
| 2025 | EMNLP | SHARP: Steering Hallucination in LVLMs via Representation Engineering. | Junfei Wu, Yue Ding, Guofan Liu, Tianze Xia, Ziyue Huang, Dianbo Sui, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2025 | EMNLP | KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing. | Mengqi Zhang, Bowen Fang, Qiang Liu, Xiaotian Ye, Shu Wu, Pengjie Ren, Zhumin Chen, Liang Wang |
| 2025 | EMNLP | REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing. | Haitian Zhong, Yuhuan Liu, Ziyang Xu, Guofan Liu, Qiang Liu, Shu Wu, Zhe Zhao, Liang Wang, Tieniu Tan |
| 2025 | ICLR | MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. | Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang |
| 2025 | ICLR | Uncovering Overfitting in Large Language Model Editing. | Mengqi Zhang, Xiaotian Ye, Qiang Liu, Shu Wu, Pengjie Ren, Zhumin Chen |
| 2025 | IJCNN | R | Zhao Tong, Yimeng Gu, Haichao Shi, Qiang Liu, Shu Wu, Xiao-Yu Zhang |
| 2025 | WWW | A Self-Supervised Adaptive Tuning Approach for Out-of-Distribution Social Media Bot Detection. | Yuxuan Song, Qiudan Li, Shu Wu, Zheng Xie, Daniel Dajun Zeng |
| 2025 | WWW | Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment. | Mengyu Xiang, Yuxuan Song, Qiudan Li, Shu Wu, Daniel Dajun Zeng |
| 2024 | AAAI | Rethinking Graph Masked Autoencoders through Alignment and Uniformity. | Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | AAAI | Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. | Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang |
| 2024 | AAAI | Text-Guided Molecule Generation with Diffusion Language Model. | Haisong Gong, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | ACL | EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. | Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu |
| 2024 | ACL | Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. | Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan |
| 2024 | ACL | Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. | Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang |
| 2024 | ACL | Stealthy Attack on Large Language Model based Recommendation. | Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang |
| 2024 | CIKM | Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. | Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang |
| 2024 | EMNLP | Knowledge Graph Enhanced Large Language Model Editing. | Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen |
| 2024 | ICASSP | Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. | Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | ICPR | Semi-supervised Cross-Lingual Speech Recognition Exploiting Articulatory Features. | Xinmei Su, Xiang Xie, Chenguang Hu, Shu Wu, Jing Wang |
| 2024 | KDD | DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. | Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang |
| 2024 | WWW | Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. | Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | SDM | CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. | Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu |
| 2023 | ACL | Counterfactual Debiasing for Fact Verification. | Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | ACL | Learning Latent Relations for Temporal Knowledge Graph Reasoning. | Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | CIKM | Personalized Interest Sustainability Modeling for Sequential POI Recommendation. | Zewen Long, Liang Wang, Qiang Liu, Shu Wu |
| 2023 | EMNLP | Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction. | Xin Sun, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang |
| 2023 | WWW | Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. | Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | SIGIR | Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. | Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2022 | CIKM | Deep Contrastive Multiview Network Embedding. | Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang |
| 2022 | EMNLP | MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. | Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang |
| 2022 | ICDM | The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. | Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu |
| 2022 | IJCAI | GraphDIVE: Graph Classification by Mixture of Diverse Experts. | Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2022 | WWW | Evidence-aware Fake News Detection with Graph Neural Networks. | Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang |
| 2022 | SIGIR | Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. | Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu |
| 2022 | SDM | Structure-Enhanced Heterogeneous Graph Contrastive Learning. | Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu |
| 2021 | AAAI | A Graph-based Relevance Matching Model for Ad-hoc Retrieval. | Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang |
| 2021 | AAAI | Cold-start Sequential Recommendation via Meta Learner. | Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu |
| 2021 | CIKM | Deep Active Learning for Text Classification with Diverse Interpretations. | Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu |
| 2021 | CIKM | Fully Hyperbolic Graph Convolution Network for Recommendation. | Liping Wang, Fenyu Hu, Shu Wu, Liang Wang |
| 2021 | CIKM | Label-informed Graph Structure Learning for Node Classification. | Liping Wang, Fenyu Hu, Shu Wu, Liang Wang |
| 2021 | CIKM | Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. | Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu |
| 2021 | CIKM | Relation-aware Heterogeneous Graph for User Profiling. | Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2021 | WWW | Graph Contrastive Learning with Adaptive Augmentation. | Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang |
| 2021 | WWW | Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. | Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang |
| 2021 | SIGIR | Motif-aware Sequential Recommendation. | Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma, Liang Wang |
| 2020 | AAAI | Independence Promoted Graph Disentangled Networks. | Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao |
| 2020 | ACL | Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. | Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang |
| 2020 | CIKM | Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. | Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang |
| 2020 | ICDM | Dynamic Graph Collaborative Filtering. | Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu |
| 2020 | ICDM | DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. | Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu |
| 2020 | SIGIR | TFNet: Multi-Semantic Feature Interaction for CTR Prediction. | Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang |
| 2020 | SIGIR | TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. | Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2019 | AAAI | Session-Based Recommendation with Graph Neural Networks. | Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan |
| 2019 | CIKM | Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. | Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang |
| 2019 | CIKM | Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. | Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu |
| 2019 | IJCAI | Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. | Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan |
| 2019 | PAKDD | Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction. | Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang |
| 2019 | WWW | Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. | Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang |
| 2017 | IJCAI | A Convolutional Approach for Misinformation Identification. | Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2017 | WWW | Blood Pressure Prediction via Recurrent Models with Contextual Layer. | Xiaohan Li, Shu Wu, Liang Wang |
| 2017 | SIGIR | DeepStyle: Learning User Preferences for Visual Recommendation. | Qiang Liu, Shu Wu, Liang Wang |
| 2016 | AAAI | Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. | Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2016 | AAAI | SAPE: A System for Situation-Aware Public Security Evaluation. | Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan |
| 2016 | AAAI | Information Credibility Evaluation on Social Media. | Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan |
| 2016 | ICDM | Context-Aware Sequential Recommendation. | Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang |
| 2016 | SIGIR | A Dynamic Recurrent Model for Next Basket Recommendation. | Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2015 | AAAI | COT: Contextual Operating Tensor for Context-Aware Recommender Systems. | Qiang Liu, Shu Wu, Liang Wang |
| 2015 | APWEB | Multiple Attribute Aware Personalized Ranking. | Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan |
| 2015 | APWEB | Learning to Hash for Recommendation with Tensor Data. | Qiyue Yin, Shu Wu, Liang Wang |
| 2015 | CIKM | Social-Relational Topic Model for Social Networks. | Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan |
| 2015 | CIKM | Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. | Qiang Liu, Shu Wu, Liang Wang |
| 2015 | CIKM | A Convolutional Click Prediction Model. | Qiang Liu, Feng Yu, Shu Wu, Liang Wang |
| 2015 | CIKM | Incomplete Multi-view Clustering via Subspace Learning. | Qiyue Yin, Shu Wu, Liang Wang |
| 2015 | ICIP | Partially tagged image clustering. | Qiyue Yin, Shu Wu, Liang Wang |
| 2015 | SIGIR | Personalized Semantic Ranking for Collaborative Recommendation. | Song Xu, Shu Wu, Liang Wang |
| 2014 | ICPR | Discriminative Representative Selection via Structure Sparsity. | Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu |
| 2012 | ICOST | Multi-modal Non-intrusive Sleep Pattern Recognition in Elder Assistive Environment. | Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu, Xingshe Zhou, Kejian Miao, Daifei Han |
| 2011 | SIGIR | Rating-based collaborative filtering combined with additional regularization. | Shu Wu, Shengrui Wang |
| 2010 | ICOST | Unobtrusive Sleep Posture Detection for Elder-Care in Smart Home. | Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu |
| 2010 | UIC | Towards Non-intrusive Sleep Pattern Recognition in Elder Assistive Environment. | Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu, Zhiwen Yu, Xingshe Zhou, Shengrui Wang |
| 2007 | PAKDD | A New Initialization Method for Clustering Categorical Data. | Shu Wu, Qingshan Jiang, Joshua Zhexue Huang |