Weibo Gao

According to our database, Weibo Gao authored at least 42 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A continuous-variable quantum repeater protocol enhanced with multiplexing and thermal noise.

Xin Li, Rigui Zhou, Yu Cai, Ruiqing Xu, Chao Gao, Weibo Gao

Quantum Inf. Process., August, 2025

Learning from shortcut: a shortcut-guided approach for explainable graph learning.

Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao

Frontiers Comput. Sci., August, 2025

Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models.

Linan Yue, Yichao Du, Yizhi Wang, Weibo Gao, Fangzhou Yao, Li Wang, Ye Liu, Ziyu Xu, Qi Liu, Shimin Di, Min-Ling Zhang

CoRR, August, 2025

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor.

Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yre, Fangzhou Yao, Zheng Zhang

CoRR, June, 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

CoRR, May, 2025

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation.

Zheng Zhang, Ning Li, Qi Liu, Rui Li, Weibo Gao, Qingyang Mao, Zhenya Huang, Baosheng Yu, Dacheng Tao

CoRR, April, 2025

Empowering Federated Graph Rationale Learning with Latent Environments.

Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

GenAL: Generative Agent for Adaptive Learning.

Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions.

Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen

CoRR, 2024

FedGT: Federated Node Classification with Scalable Graph Transformer.

Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu

CoRR, 2024

Understanding and improving fairness in cognitive diagnosis.

Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen

Sci. China Inf. Sci., 2024

Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.

Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao

Proceedings of the ACM on Web Conference 2024, 2024

Cooperative Classification and Rationalization for Graph Generalization.

Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li

Proceedings of the ACM on Web Conference 2024, 2024

Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models.

Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling.

Fangzhou Yao, Qi Liu, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery.

Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FedJudge: Federated Legal Large Language Model.

Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao

Proceedings of the Database Systems for Advanced Applications, 2024

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

Proceedings of the Database Systems for Advanced Applications, 2024

Post-hoc Facts augmented Legal Judgment Prediction.

Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu

Proceedings of the Database Systems for Advanced Applications, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MuST: An interpretable multidimensional strain theory model for corporate misreporting prediction.

Chunli Liu, Liu Yang, Weibo Gao, Yang Li, Yezheng Liu

Electron. Commer. Res. Appl., January, 2023

ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation.

Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Weibo Gao, Liyi Luo, Zike Yan, Hao Zhao, Guyue Zhou

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction.

Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

System Design and Research of Future Broadcasting Service Based on Blockchain.

Jinghan Wang, Wei Liang, Yan Liu, Weibo Gao, Jun Zhao, Qiuhong Zheng

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

2022

Blockchained supply chain management based on IoT tracking and machine learning.

Zhongping Dong, Wei Liang, Yan Liang, Weibo Gao, Yi Lu

EURASIP J. Wirel. Commun. Netw., 2022

Dependency and Association Enhanced Finding Similar Exercises in Online Education System.

Zihang Tang, Hao Wang, Weibo Gao, Zhenya Huang, Qi Liu, Jun Yu

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Neural Mathematical Solver with Enhanced Formula Structure.

Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Exploring Multi-Objective Exercise Recommendations in Online Education Systems.

Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019