| 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 | 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 |
| 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 | 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 | 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 | 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 | 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 | 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 | 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 | CSCWD | ConvTrans-TPS: A Convolutional Transformer Model for Disk Failure Prediction in Large-Scale Network Storage Systems. | Shicheng Xu, Xiaolong Xu |
| 2022 | CIKM | Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |