| 2026 | AAAI | RLKD: Distilling LLMs' Reasoning via Reinforcement Learning. | Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation. | Jinwen Chen, Hainan Zhang, Liang Pang, Yongxin Tong, Haibo Zhou, Wei Lin, Zhiming Zheng |
| 2026 | ACL | Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification. | Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Zihe Huang, Jiayi Wu, Yu Yan, Jingcheng Deng, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis. | Zihao Wei, Liang Pang, Jiahao Liu, Wenjie Shi, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation. | Qianchi Zhang, Hainan Zhang, Liang Pang, Hongwei Zheng, Zhiming Zheng |
| 2026 | ECIR | Event-Aware Video Corpus Moment Retrieval. | Danyang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2026 | ECIR | Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization. | Yan Lei, Suncong Zheng, Roberts Wang, Liang Pang, Lei He, Shuang Chen, Yu Wang, Huawei Shen, Xueqi Cheng, Yuanzhuo Wang |
| 2026 | WWW | D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models. | Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2026 | WWW | Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning. | Qianchi Zhang, Hainan Zhang, Liang Pang, Yongxin Tong, Hongwei Zheng, Zhiming Zheng |
| 2026 | SIGIR | Learning to Retrieve from Agent Trajectories. | Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen |
| 2025 | AAAI | LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. | Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai |
| 2025 | AAAI | MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models. | Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng |
| 2025 | ACL | ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. | Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng |
| 2025 | CIKM | The 1st Workshop on LLM Agents for Social Simulation. | Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen |
| 2025 | COLING | Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. | Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2025 | COLING | MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. | Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations. | Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua |
| 2025 | EMNLP | Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. | Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. | Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2025 | ICLR | Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models. | Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. | Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | ICLR | A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. | Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng |
| 2025 | PRICAI | HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models. | Zhen Cai, Yanhua Yu, Xidian Wang, Kangkang Lu, Tu Ao, Mingliang Yan, Liang Pang, Pinghui Wang, Tat-Seng Chua |
| 2025 | SIGIR | Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. | Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | SIGIR | Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access. | Yang Deng, Moxin Li, Liang Pang, Wenxuan Zhang, Wai Lam |
| 2025 | SIGIR | Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. | Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke |
| 2025 | SIGIR | Mitigating Source Bias with LLM Alignment. | Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu |
| 2025 | SIGIR | NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. | Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | WSDM | Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. | Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu |
| 2024 | ACL | Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. | Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2024 | ACL | Plot Retrieval as an Assessment of Abstract Semantic Association. | Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | ACL | Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. | Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | ACL | Beyond Memorization: The Challenge of Random Memory Access in Language Models. | Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin |
| 2024 | COLING | Qsnail: A Questionnaire Dataset for Sequential Question Generation. | Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng |
| 2024 | CVPR | HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data. | Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang |
| 2024 | EMNLP | A Study of Implicit Ranking Unfairness in Large Language Models. | Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2024 | EMNLP | Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. | Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2024 | IROS | Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. | Tianxiang Ye, Qi Wu, Junyuan Deng, Guoqing Liu, Liu Liu, Songpengcheng Xia, Liang Pang, Wenxian Yu, Ling Pei |
| 2024 | KDD | Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. | Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu |
| 2024 | KDD | Neural Retrievers are Biased Towards LLM-Generated Content. | Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu |
| 2024 | NAACL | Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. | Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2024 | RecSys | Information-Controllable Graph Contrastive Learning for Recommendation. | Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua |
| 2024 | WWW | Can Small Language Models be Good Reasoners for Sequential Recommendation? | Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang |
| 2024 | WWW | Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2024 | WWW | List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. | Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | A Taxation Perspective for Fair Re-ranking. | Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2024 | SIGIR | Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. | Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2023 | AAAI | A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. | Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He |
| 2023 | ACL | BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | ACL | SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. | Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | EMNLP | RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. | Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | EMNLP | MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. | Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2023 | EMNLP | LLMDet: A Third Party Large Language Models Generated Text Detection Tool. | Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2023 | EMNLP | Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. | Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang |
| 2022 | CIKM | Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2022 | COLING | Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. | Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen |
| 2022 | IJCNN | Region-based Cross-modal Retrieval. | Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2022 | SIGIR | LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2021 | AAAI | Sketch and Customize: A Counterfactual Story Generator. | Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng |
| 2021 | CIKM | Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. | Liang Pang, Yanyan Lan, Xueqi Cheng |
| 2021 | CVPR | Transformation Driven Visual Reasoning. | Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2021 | EMNLP | Transductive Learning for Unsupervised Text Style Transfer. | Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng |
| 2021 | EMNLP | Adaptive Information Seeking for Open-Domain Question Answering. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2021 | SIGIR | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. | Liang Pang, Qingyao Ai, Jun Xu |
| 2021 | WSDM | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. | Liang Pang, Qingyao Ai, Jun Xu |
| 2020 | CIKM | Ranking Enhanced Dialogue Generation. | Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng |
| 2020 | COLING | METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis. | Bin Jiang, Jing Hou, Wanyue Zhou, Chao Yang, Shihan Wang, Liang Pang |
| 2020 | COLING | PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation. | Bin Jiang, Wanyue Zhou, Jingxu Yang, Chao Yang, Shihan Wang, Liang Pang |
| 2020 | DAC | TYMER: A Yield-based Performance Model for Timing-speculation SRAM. | Shan Shen, Liang Pang, Tianxiang Shao, Ming Ling, Xiao Shi, Longxing Shi |
| 2020 | DATE | An Efficient SRAM yield Analysis Using Scaled-Sigma Adaptive Importance Sampling. | Liang Pang, Mengyun Yao, Yifan Chai |
| 2020 | EMNLP | Beyond Language: Learning Commonsense from Images for Reasoning. | Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2020 | EMNLP | Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. | Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen |
| 2020 | IJCAI | Evaluating Natural Language Generation via Unbalanced Optimal Transport. | Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng |
| 2020 | IJCAI | Modeling Topical Relevance for Multi-Turn Dialogue Generation. | Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin |
| 2020 | SIGIR | SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. | Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen |
| 2020 | SIGIR | L2R²: Leveraging Ranking for Abductive Reasoning. | Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng |
| 2019 | ACL | ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. | Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2017 | ACML | Locally Smoothed Neural Networks. | Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng |
| 2017 | CIKM | Learning Visual Features from Snapshots for Web Search. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng |
| 2017 | CIKM | DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng |
| 2016 | AAAI | SPAN: Understanding a Question with Its Support Answers. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2016 | AAAI | Text Matching as Image Recognition. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng |
| 2016 | AAAI | A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. | Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng |
| 2016 | ECIR | Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. | Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer |
| 2016 | IJCAI | Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. | Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng |
| 2014 | GRC | A hybrid approach of PTSVM and ELM inspired by samples' geometric distribution structure. | Hong Hu, Panyi Ouyang, Liang Pang, Zhongzhi Shi |
| 2013 | GRC | Granular computing in visual haze-free task. | Hong Hu, Liang Pang, Dongping Tian, Zhongzhi Shi |
| 2012 | HAIS | A Improved Clustering Analysis Method Based on Fuzzy C-Means Algorithm by Adding PSO Algorithm. | Liang Pang, Kai Xiao, Alei Liang, Haibing Guan |