Gao, Weibo

10 publications

AAAI 2025 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

IJCAI 2025 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

AAAI 2025 GenAL: Generative Agent for Adaptive Learning Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu

NeurIPS 2024 Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang

ICML 2024 Federated Self-Explaining GNNs with Anti-Shortcut Augmentations Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao

NeurIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen

ICLR 2024 Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An

AAAI 2024 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

AAAI 2024 Π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou

NeurIPS 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen