| 2026 | ACL | From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning. | Chen Zhan, Xiaoyu Tan, Gengchen Ma, Yu-Jie Xiong, Xiaoyan Jiang, Xihe Qiu |
| 2026 | KDD | AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. | Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Yinghui Xu, Xihe Qiu |
| 2026 | WWW | Curiosity Driven Knowledge Retrieval for Mobile Agents. | Sijia Li, Xiaoyu Tan, Shahir Ali, Niels Schmidt, Gengchen Ma, Xihe Qiu |
| 2025 | COLING | Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace. | Jia-Chen Zhang, Yu-Jie Xiong, Chun-Ming Xia, Dong-Hai Zhu, Xihe Qiu |
| 2025 | ICASSP | CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. | Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu |
| 2025 | ICASSP | An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis. | Yingchen Wei, Xihe Qiu, Xiaoyu Tan, Jingjing Huang, Wei Chu, Yinghui Xu, Yuan Qi |
| 2025 | ICRA | PTQ4RIS: Post-Training Quantization for Referring Image Segmentation. | Xiaoyan Jiang, Hang Yang, Kaiying Zhu, Xihe Qiu, Shibo Zhao, Sifan Zhou |
| 2025 | IROS | HeStIa: Asynchronous Embodied Dynamic Locomotion Learning for Walking Robots through Multimodal Large Language Models. | Xiaoyu Tan, Haoyu Wang, Sijia Li, Yinghui Xu, Xihe Qiu |
| 2025 | KDD | Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios. | Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Leijun Cheng, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2025 | MICCAI | MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models. | Teqi Hao, Xiaoyu Tan, Bin Li, Xuemin Wang, Chao Qu, Yinghui Xu, Xihe Qiu |
| 2025 | MICCAI | Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models. | Xihe Qiu, Chen Zhan, Gengchen Ma, Jingjing Huang, Xiaoyu Tan |
| 2025 | MICCAI | Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support. | Xiaoyu Tan, Bin Li, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi, Xihe Qiu |
| 2025 | WWW | Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. | Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | CIKM | ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models. | Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu |
| 2024 | ECAI | Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. | Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu |
| 2024 | EMNLP | ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. | Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | ICRA | Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. | Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu |
| 2024 | KDD | Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. | Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | SIGIR | Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. | Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | SEKE | A Medical Image Segmentation Method based on Multi-scale Features and Contour Loss Constrain (S). | Jian Niu, Zhijun Fang, Chen Qian, Xihe Qiu |
| 2023 | ADMA | CRNN-SA: A Network Intrusion Detection Method Based on Deep Learning. | Wanxiao Liu, Jue Chen, Xihe Qiu |
| 2023 | EMNLP | Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. | Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi |
| 2023 | ICCV | Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. | Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li |
| 2023 | ICML | Provably Invariant Learning without Domain Information. | Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi |