Weibo Gao

66 papers A* 23A 1Journal 32Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hybrid Adaptive Sampling Strategy for Fair and Accurate Meta-learned User Modeling.
ACM Trans. Inf. Syst.
Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao, Enhong Chen
2026 J jnl
CANOD: A Competence Assessment Network for Open Source Software Developers.
Expert Syst. Appl.
Xu An, Jianhui Ma, Yanqing An, Weibo Gao, Enhong Chen
2026 A* conf
Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning.
AAAI
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu
2026 J jnl
Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning.
CoRR
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu
2026 A* conf
Difference-based Sample Selection for Federated Graph Rationalization.
WWW
Linan Yue, Weibo Gao
2026 J jnl
Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning.
CoRR
Siyu Gong, Linan Yue, Weibo Gao, Fangzhou Yao, Shimin Di, Lei Feng, Min-Ling Zhang
2026 J jnl
Language Hierarchization Provides the Optimal Solution to Human Working Memory Limits.
CoRR
Luyao Chen, Weibo Gao, Junjie Wu, Jinshan Wu, Angela D. Friederici
2025 J jnl
A continuous-variable quantum repeater protocol enhanced with multiplexing and thermal noise.
Quantum Inf. Process.
Xin Li, Rigui Zhou, Yu Cai, Ruiqing Xu, Chao Gao, Weibo Gao
2025 A* conf
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems.
AAAI
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang
2025 J jnl
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems.
CoRR
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang
2025 J jnl
Artificial intelligence for representing and characterizing quantum systems.
CoRR
Yuxuan Du, Yan Zhu, Yuan-Hang Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Weibo Gao, Ya-Dong Wu, Jens Eisert, Giulio Chiribella, Dacheng Tao, Barry C. Sanders
2025 J jnl
Automated deep learning method for whole-breast segmentation in contrast-free quantitative MRI.
BMC Medical Imaging
Weibo Gao, Yanyan Zhang, Bo Gao, Yuwei Xia, Wenbin Liang, Quanxin Yang, Feng Shi, Tuo He, Guangxu Han, Xiaohui Li, Xuan Su, Yuelang Zhang
2025 A* conf
BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling.
WWW
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Zhenya Huang, Zheng Zhang, Rui Lv
2025 A* conf
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models.
IJCAI
Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang
2025 J jnl
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models.
CoRR
Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang
2025 — conf
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor.
KDD (1)
Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yue, Fangzhou Yao, Zheng Zhang
2025 J jnl
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor.
CoRR
Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yre, Fangzhou Yao, Zheng Zhang
2025 J jnl
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models.
CoRR
Linan Yue, Yichao Du, Yizhi Wang, Weibo Gao, Fangzhou Yao, Li Wang, Ye Liu, Ziyu Xu, Qi Liu, Shimin Di, Min-Ling Zhang
2025 A* conf
Empowering Federated Graph Rationale Learning with Latent Environments.
WWW
Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du
2025 A* conf
GenAL: Generative Agent for Adaptive Learning.
AAAI
Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu
2025 A* conf
GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning.
ICDE
Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao
2025 J jnl
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning.
CoRR
Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao
2025 — conf
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory.
ACL (1)
Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu
2025 J jnl
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory.
CoRR
Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu
2025 J jnl
Learning from shortcut: a shortcut-guided approach for explainable graph learning.
Frontiers Comput. Sci.
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao
2025 — conf
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning.
EMNLP (Findings)
Rui Lv, Qi Liu, Weibo Gao, Jiatong Li, Kai Zhang, Shiwei Tong
2025 J jnl
Semantic-Aligned Code Summarization: Bridging the Gap Between Code and Natural Language Through Data Flow Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Yuze Zhao, Zhenya Huang, Kai Zhang, Weibo Gao, Qi Liu, Xukai Liu, Fangzhou Yao, Enhong Chen
2025 — conf
TestAgent: An Adaptive and Intelligent Expert for Human Assessment.
ACL (Findings)
Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen
2025 J jnl
TestAgent: An Adaptive and Intelligent Expert for Human Assessment.
CoRR
Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen
2025 J jnl
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation.
CoRR
Zheng Zhang, Ning Li, Qi Liu, Rui Li, Weibo Gao, Qingyang Mao, Zhenya Huang, Baosheng Yu, Dacheng Tao
2024 J jnl
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions.
CoRR
Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen
2024 A* conf
AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling.
KDD
Fangzhou Yao, Qi Liu, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He
2024 A* conf
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling.
NeurIPS
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
2024 J jnl
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling.
CoRR
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
2024 A* conf
Cooperative Classification and Rationalization for Graph Generalization.
WWW
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
2024 J jnl
Cooperative Classification and Rationalization for Graph Generalization.
CoRR
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
2024 A* conf
EgoPAT3Dv2: Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction.
ICRA
Irving Fang, Yuzhong Chen, Yifan Wang, Jianghan Zhang, Qiushi Zhang, Jiali Xu, Xibo He, Weibo Gao, Hao Su, Yiming Li, Chen Feng
2024 J jnl
EgoPAT3Dv2: Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction.
CoRR
Irving Fang, Yuzhong Chen, Yifan Wang, Jianghan Zhang, Qiushi Zhang, Jiali Xu, Xibo He, Weibo Gao, Hao Su, Yiming Li, Chen Feng
2024 A* conf
Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.
WWW
Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao
2024 A* conf
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models.
SIGIR
Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An
2024 J jnl
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models.
CoRR
Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An
2024 J jnl
FedGT: Federated Node Classification with Scalable Graph Transformer.
CoRR
Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu
2024 — conf
FedJudge: Federated Legal Large Language Model.
DASFAA (5)
Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao
2024 A* conf
Federated Self-Explaining GNNs with Anti-shortcut Augmentations.
ICML
Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao
2024 — conf
Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework.
DASFAA (4)
Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng
2024 — conf
Post-hoc Facts augmented Legal Judgment Prediction.
DASFAA (2)
Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu
2024 A* conf
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation.
NeurIPS
Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen
2024 A* conf
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery.
ICLR
Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
2024 J jnl
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery.
CoRR
Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
2024 J jnl
Understanding and improving fairness in cognitive diagnosis.
Sci. China Inf. Sci.
Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen
2024 A* conf
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives.
AAAI
Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He
2024 A* conf
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.
AAAI
Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou
2023 J jnl
ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation.
CoRR
Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Weibo Gao, Liyi Luo, Zike Yan, Hao Zhao, Guyue Zhou
2023 — conf
Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction.
CICAI (1)
Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi
2023 A* conf
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information.
NeurIPS
Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen
2023 J jnl
FedJudge: Federated Legal Large Language Model.
CoRR
Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao
2023 A* conf
Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis.
SIGIR
Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang
2023 J jnl
MuST: An interpretable multidimensional strain theory model for corporate misreporting prediction.
Electron. Commer. Res. Appl.
Chunli Liu, Liu Yang, Weibo Gao, Yang Li, Yezheng Liu
2023 J jnl
Novel Quantum Information Processing Methods and Investigation.
CoRR
Ze Yu Zhang, Weibo Gao
2023 — conf
System Design and Research of Future Broadcasting Service Based on Blockchain.
BMSB
Jinghan Wang, Wei Liang, Yan Liu, Weibo Gao, Jun Zhao, Qiuhong Zheng
2023 J jnl
Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives.
CoRR
Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He
2022 J jnl
Blockchained supply chain management based on IoT tracking and machine learning.
EURASIP J. Wirel. Commun. Netw.
Zhongping Dong, Wei Liang, Yan Liang, Weibo Gao, Yi Lu
2022 — conf
Dependency and Association Enhanced Finding Similar Exercises in Online Education System.
CCIS
Zihang Tang, Hao Wang, Weibo Gao, Zhenya Huang, Qi Liu, Jun Yu
2021 A* conf
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems.
SIGIR
Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su
2020 A* conf
Neural Mathematical Solver with Enhanced Formula Structure.
SIGIR
Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen
2019 A conf
Exploring Multi-Objective Exercise Recommendations in Online Education Systems.
CIKM
Zhenya Huang, Qi Liu, ChengXiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu