| 2026 | AAAI | Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning. | Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi |
| 2026 | ACL | SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation. | Long Li, Zhijian Zhou, Jiangxuan Long, Peiyang Liu, Weidi Xu, Zhe Wang, Shirui Pan, Chao Qu |
| 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 |
| 2025 | ACL | To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization. | Haozhe Wang, Long Li, Chao Qu, Weidi Xu, Fengming Zhu, Wei Chu, Fangzhen Lin |
| 2025 | ICASSP | Meta-MMD Fusion: Enhancing Cross-Subject Motor Imagery Classification. | Minghui Chen, Chao Qu, Jiahui Pan |
| 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 | ICLR | Equivariant Masked Position Prediction for Efficient Molecular Representation. | Junyi An, Chao Qu, Yunfei Shi, Xinhao Liu, Qianwei Tang, Fenglei Cao, 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 | 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 | 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 | 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 | ICLR | Hybrid Directional Graph Neural Network for Molecules. | Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Yinghui Xu, Yuan Qi, Furao Shen |
| 2024 | ICLR | LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. | Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu |
| 2024 | ICRA | Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. | Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu |
| 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 |
| 2023 | PRDC | BSGAT: A Graph Attention Network for Binary Code Similarity Detection. | Chao Qu, Rongqian Zhou, Ke Liu, Zhuo Yan, Haipeng Qu |
| 2022 | IJCAI | A Hybrid Brain-Computer Interface for Smart Car Control. | Nianming Ban, Chao Qu, Daqin Feng, Jiahui Pan |
| 2022 | ICRA | LLOL: Low-Latency Odometry for Spinning Lidars. | Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor |
| 2022 | IROS | DSOL: A Fast Direct Sparse Odometry Scheme. | Chao Qu, Shreyas S. Shivakumar, Ian D. Miller, Camillo J. Taylor |
| 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 |
| 2021 | ICCV | Bayesian Deep Basis Fitting for Depth Completion with Uncertainty. | Chao Qu, Wenxin Liu, Camillo J. Taylor |
| 2020 | WACV | Depth Completion via Deep Basis Fitting. | Chao Qu, Ty Nguyen, Camillo J. Taylor |
| 2019 | ICML | Nonlinear Distributional Gradient Temporal-Difference Learning. | Chao Qu, Shie Mannor, Huan Xu |
| 2018 | ICA3PP | A Semantic Web Based Intelligent IoT Model. | Chao Qu, Ming Tao, Jie Zhang, Xiaoyu Hong, Ruifen Yuan |
| 2018 | ICA3PP | Hybrid Cloud Architecture for Cross-Platform Interoperability in Smart Homes. | Ming Tao, Chao Qu, Wenhong Wei, Bin Zhou, Shuqiang Huang |
| 2018 | ICML | Non-convex Conditional Gradient Sliding. | Chao Qu, Yan Li, Huan Xu |
| 2018 | IROS | Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. | Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar |
| 2016 | ICML | Fast Rate Analysis of Some Stochastic Optimization Algorithms. | Chao Qu, Huan Xu, Chong Jin Ong |
| 2015 | SENSYS | Low-cost Device-Free Localization using Detection Probability Model in Outdoors. | Jianan Kou, Xiaojiang Chen, Zhanyong Tang, Juan He, Chao Qu, Tianzhang Xing, Dingyi Fang |
| 2015 | UIC | Multi-link Passive Localization with Low Cost in Wireless Sensor Networks. | Zhanyong Tang, Jianan Kou, Chao Qu, Tianzhang Xing, Xiaojiang Chen, Dingyi Fang, Ruchen Wang |
| 2013 | ICMLC | KNNCC: An algorithm for k-nearest neighbor clique clustering. | Chao Qu, Ruifen Yuan, Xiaorui Wei |
| 2011 | IJCNN | The role of orientation diversity in binocular vergence control. | Chao Qu, Bertram E. Shi |
| 2009 | ADMA | Initialization of the Neighborhood EM Algorithm for Spatial Clustering. | Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu |
| 2008 | ADMA | Selecting the Right Features for Bipartite-Based Text Clustering. | Chao Qu, Yong Li, Jie Zhang, Tianming Hu, Qian Chen |
| 2007 | ADMA | Spatial Fuzzy Clustering Using Varying Coefficients. | Huaqiang Yuan, Yaxun Wang, Jie Zhang, Wei Tan, Chao Qu, Wenbin He |
| 2006 | ADMA | Joint Cluster Based Co-clustering for Clustering Ensembles. | Tianming Hu, Liping Liu, Chao Qu, Sam Yuan Sung |
| 2006 | ICTAI | Preserving Patterns in Bipartite Graph Partitioning. | Tianming Hu, Chao Qu, Chew Lim Tan, Sam Yuan Sung, Wenjun Zhou |