| 2026 | AAAI | Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning. | Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu |
| 2026 | ACL | One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment. | Huixing Que, Qi Liu, Weibo Gao, Zhenya Huang |
| 2026 | ACL | Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees. | Zheng Zhang, Qi Liu, Siyuan Liang, Ning Li, Zirui Hu, Weibo Gao, Rui Li, Zhenya Huang, Leszek Rutkowski, Baosheng Yu, Dacheng Tao |
| 2026 | DASFAA | Precedent Retrieval Based In-Context Learning for Legal Rationale Generation. | Linan Yue, Yichao Du, Weibo Gao |
| 2026 | WWW | Difference-based Sample Selection for Federated Graph Rationalization. | Linan Yue, Weibo Gao |
| 2025 | AAAI | Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. | Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang |
| 2025 | AAAI | GenAL: Generative Agent for Adaptive Learning. | Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu |
| 2025 | ACL | IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. | Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu |
| 2025 | ACL | TestAgent: An Adaptive and Intelligent Expert for Human Assessment. | Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen |
| 2025 | EMNLP | ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning. | Rui Lv, Qi Liu, Weibo Gao, Jiatong Li, Kai Zhang, Shiwei Tong |
| 2025 | ICDE | GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. | Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao |
| 2025 | IJCAI | CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. | Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang |
| 2025 | KDD | Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. | Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yue, Fangzhou Yao, Zheng Zhang |
| 2025 | WWW | BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling. | Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Zhenya Huang, Zheng Zhang, Rui Lv |
| 2025 | WWW | Empowering Federated Graph Rationale Learning with Latent Environments. | Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du |
| 2024 | AAAI | Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. | Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He |
| 2024 | AAAI | π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. | Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou |
| 2024 | DASFAA | Post-hoc Facts augmented Legal Judgment Prediction. | Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu |
| 2024 | DASFAA | Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. | Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng |
| 2024 | DASFAA | FedJudge: Federated Legal Large Language Model. | Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao |
| 2024 | ICLR | Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. | Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An |
| 2024 | ICML | Federated Self-Explaining GNNs with Anti-shortcut Augmentations. | Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao |
| 2024 | ICRA | EgoPAT3Dv2: Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction. | Irving Fang, Yuzhong Chen, Yifan Wang, Jianghan Zhang, Qiushi Zhang, Jiali Xu, Xibo He, Weibo Gao, Hao Su, Yiming Li, Chen Feng |
| 2024 | KDD | AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling. | Fangzhou Yao, Qi Liu, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He |
| 2024 | WWW | Cooperative Classification and Rationalization for Graph Generalization. | Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li |
| 2024 | WWW | Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. | Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao |
| 2024 | SIGIR | Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. | Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An |
| 2023 | SIGIR | Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. | Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang |
| 2021 | SIGIR | RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. | Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su |
| 2020 | SIGIR | Neural Mathematical Solver with Enhanced Formula Structure. | Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen |
| 2019 | CIKM | Exploring Multi-Objective Exercise Recommendations in Online Education Systems. | Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu |