| 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 | EMNLP | Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. | Rui Xu, Mingyu Wang, Xintao Wang, Dakuan Lu, Xiaoyu Tan, Wei Chu, Yinghui Xu |
| 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 | ICLR | Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. | Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu |
| 2025 | ICML | One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. | Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu |
| 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 |
| 2023 | AAAI | Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. | Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei |
| 2023 | ACL | SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. | Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi |
| 2023 | EMNLP | PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. | Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi |
| 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 |
| 2022 | KDD | A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. | Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang |
| 2019 | MICCAI | Towards a Cyber-Physical Systems Based Operating Room of the Future. | Chin-Boon Chng, Pooi-Mun Wong, Nicholas J. H. Ho, Xiaoyu Tan, Chee-Kong Chui |
| 2019 | SMC | Simulation of Robot-Assisted Flexible Needle Insertion Using Deep Q-Network. | Yonggu Lee, Xiaoyu Tan, Chin-Boon Chng, Chee-Kong Chui |
| 2016 | SMC | Design and implementation of a patient-specific cognitive engine for robotic needle insertion. | Xiaoyu Tan, Chin-Boon Chng, Bin Duan, Yvonne Ho, Rong Wen, Xuan Chen, Kah Bin Lim, Chee-Kong Chui |