Exploring Multi-Objective Exercise Recommendations in Online Education Systems. - Zhenya Huang; Qi Liu 003; Chengxiang Zhai; Yu Yin 002; Enhong Chen; Weibo Gao; Guoping Hu (CIKM, 2019)

Neural Mathematical Solver with Enhanced Formula Structure. - Zhenya Huang; Qi Liu 003; Weibo Gao; Jinze Wu; Yu Yin 002; Hao Wang 076; Enhong Chen (SIGIR, 2020)

RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. - Weibo Gao; Qi Liu 003; Zhenya Huang; Yu Yin 002; Haoyang Bi; Mu-Chun Wang; Jianhui Ma; Shijin Wang 001; Yu Su 002 (SIGIR, 2021)

Dependency and Association Enhanced Finding Similar Exercises in Online Education System. - Zihang Tang; Hao Wang 076; Weibo Gao; Zhenya Huang; Qi Liu 003; Jun Yu 011 (CCIS, 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)

System Design and Research of Future Broadcasting Service Based on Blockchain. - Jinghan Wang; Wei Liang; Yan Liu; Weibo Gao; Jun Zhao; Qiuhong Zheng (BMSB, 2023)

Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction. - Xin Jin; Qi Liu 003; Linan Yue; Ye Liu 011; Lili Zhao 002; Weibo Gao; Zheng Gong 001; Kai Zhang 038; Haoyang Bi (CICAI (1), 2023)

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. - Zheng Zhang 048; Qi Liu 003; Hao Jiang 023; Fei Wang 063; Yan Zhuang; Le Wu; Weibo Gao; Enhong Chen (NeurIPS, 2023)

Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. - Weibo Gao; Hao Wang 076; Qi Liu 003; Fei Wang 063; Xin Lin 005; Linan Yue; Zheng Zhang 048; Rui Lv; Shijin Wang 001 (SIGIR, 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 002; Guyue Zhou (CoRR, 2023)

MuST: An interpretable multidimensional strain theory model for corporate misreporting prediction. - Chunli Liu; Liu Yang; Weibo Gao; Yang Li 198; Yezheng Liu 001 (Electron. Commer. Res. Appl., 2023)

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 003; Hao Wang 076; Linan Yue; Haoyang Bi; Yin Gu; Fangzhou Yao; Zheng Zhang 048; Xin Li 064; Yuanjing He (AAAI, 2024)

π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. - Yin Gu; Kai Zhang 038; Qi Liu 003; Weibo Gao; Longfei Li; Jun Zhou 011 (AAAI, 2024)

Post-hoc Facts augmented Legal Judgment Prediction. - Yanqing An; Linan Yue; Weibo Gao; Kai Zhang 038; Qi Liu 003 (DASFAA (2), 2024)

Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. - Zirui Hu; Zheng Zhang 048; Qi Liu 003; Haoyang Bi; Zhenya Huang; Qingyang Mao; Weibo Gao; Wenjun Feng (DASFAA (4), 2024)

FedJudge: Federated Legal Large Language Model. - Linan Yue; Qi Liu 003; Yichao Du; Weibo Gao; Ye Liu 011; Fangzhou Yao (DASFAA (5), 2024)

Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. - Linan Yue; Qi Liu 003; Yichao Du; Li Wang 014; Weibo Gao; Yanqing An (ICLR, 2024)

Federated Self-Explaining GNNs with Anti-shortcut Augmentations. - Linan Yue; Qi Liu 003; Weibo Gao; Ye Liu 011; Kai Zhang 038; Yichao Du; Li Wang 014; Fangzhou Yao (ICML, 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 003; Chen Feng 002 (ICRA, 2024)

AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling. - Fangzhou Yao; Qi Liu 003; Linan Yue; Weibo Gao; Jiatong Li 002; Xin Li 064; Yuanjing He (KDD, 2024)

Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation. - Zheng Zhang 048; Wei Song 010; Qi Liu 003; Qingyang Mao; Yiyan Wang; Weibo Gao; Zhenya Huang; Shijin Wang 001; Enhong Chen (NeurIPS, 2024)

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Hao Wang 076; Yin Gu; Zheng Zhang 048 (NeurIPS, 2024)

Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. - Linan Yue; Qi Liu 003; Lili Zhao 002; Li Wang 014; Weibo Gao; Yanqing An (SIGIR, 2024)

Cooperative Classification and Rationalization for Graph Generalization. - Linan Yue; Qi Liu 003; Ye Liu 011; Weibo Gao; Fangzhou Yao; Wenfeng Li (WWW, 2024)

Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. - Zheng Zhang 048; Qi Liu 003; Zirui Hu; Yi Zhan; Zhenya Huang; Weibo Gao; Qingyang Mao (WWW, 2024)

Understanding and improving fairness in cognitive diagnosis. - Zheng Zhang 048; Le Wu; Qi Liu 003; Jiayu Liu 001; Zhenya Huang; Yu Yin 002; Yan Zhuang; Weibo Gao; Enhong Chen (Sci. China Inf. Sci., 2024)

FedGT: Federated Node Classification with Scalable Graph Transformer. - Zaixi Zhang; Qingyong Hu; Yang Yu; Weibo Gao; Qi Liu 003 (CoRR, 2024)

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions. - Fei Wang 063; Weibo Gao; Qi Liu 003; Jiatong Li 002; Guanhao Zhao; Zheng Zhang 048; Zhenya Huang; Mengxiao Zhu 001; Shijin Wang 001; Wei Tong; Enhong Chen (CoRR, 2024)

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Rui Lv; Zheng Zhang 048; Hao Wang 076; Zhenya Huang (AAAI, 2025)

GenAL: Generative Agent for Adaptive Learning. - Rui Lv; Qi Liu 003; Weibo Gao; Haotian Zhang; Junyu Lu; Linbo Zhu (AAAI, 2025)

IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. - Wei Song 010; Zhenya Huang; Cheng Cheng; Weibo Gao; Bihan Xu; Guanhao Zhao; Fei Wang 063; Runze Wu 001 (ACL (1), 2025)

TestAgent: An Adaptive and Intelligent Expert for Human Assessment. - Junhao Yu; Yan Zhuang; Yuxuan Sun; Weibo Gao; Qi Liu 003; Mingyue Cheng; Zhenya Huang; Enhong Chen (ACL (Findings), 2025)

GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. - Rui Lv; Zaixi Zhang; Kai Zhang 038; Qi Liu 003; Weibo Gao; Jiawei Liu; Jiaxia Yan; Linan Yue; Fangzhou Yao (ICDE, 2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. - Weibo Gao; Qi Liu 003; Rui Li 093; Yuze Zhao; Hao Wang 076; Linan Yue; Fangzhou Yao; Zheng Zhang 048 (KDD (1), 2025)

BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Zhenya Huang; Zheng Zhang 048; Rui Lv (WWW, 2025)

Empowering Federated Graph Rationale Learning with Latent Environments. - Linan Yue; Qi Liu 003; Yawen Li 001; Fangzhou Yao; Weibo Gao; Junping Du 001 (WWW, 2025)

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation. - Zheng Zhang 048; Ning Li; Qi Liu 003; Rui Li 093; Weibo Gao; Qingyang Mao; Zhenya Huang; Baosheng Yu; Dacheng Tao (CoRR, 2025)

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. - Yi Zhan; Qi Liu 003; Weibo Gao; Zheng Zhang 048; Tianfu Wang 002; Shuanghong Shen; Junyu Lu; Zhenya Huang (CoRR, 2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. - Weibo Gao; Qi Liu 003; Rui Li 093; Yuze Zhao; Hao Wang 076; Linan Yre; Fangzhou Yao; Zheng Zhang 048 (CoRR, 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 014; Ye Liu 011; Ziyu Xu; Qi Liu 003; Shimin Di; Min-Ling Zhang (CoRR, 2025)

Learning from shortcut: a shortcut-guided approach for explainable graph learning. - Linan Yue; Qi Liu 003; Ye Liu 011; Weibo Gao; Fangzhou Yao (Frontiers Comput. Sci., 2025)

A continuous-variable quantum repeater protocol enhanced with multiplexing and thermal noise. - Xin Li 064; Rigui Zhou; Yu Cai; Ruiqing Xu; Chao Gao; Weibo Gao (Quantum Inf. Process., 2025)