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)

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective. - Yan Zhuang; Qi Liu 003; Yuting Ning; Weizhe Huang; Rui Lv; Zhenya Huang; Guanhao Zhao; Zheng Zhang 048; Qingyang Mao; Shijin Wang 001; Enhong Chen (CoRR, 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)

CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. - Rui Li 093; Liyang He; Qi Liu 003; Yuze Zhao; Zheng Zhang 048; Zhenya Huang; Yu Su 002; Shijin Wang 001 (AAAI, 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)

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models. - Rui Li 093; Qi Liu 003; Liyang He; Zheng Zhang 048; Hao Zhang 088; Shengyu Ye; Junyu Lu; Zhenya Huang (EMNLP, 2024)

Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. - Zirui Hu; Zheng Zhang 048; Wenjun Feng; Qi Liu 003 (KSEM (2), 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)

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Likang Wu; Bing Lv; Zheng Zhang 048 (SIGIR, 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)

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)

PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Mingyue Cheng; Zheng Zhang 048; Rui Li 093 (CoRR, 2024)

Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts. - Xinjie Sun; Qi Liu 003; Kai Zhang 038; Shuanghong Shen; Fei Wang 063; Yan Zhuang; Zheng Zhang 048; Weiyin Gong; Shijin Wang 001; Lina Yang; Xingying Huo (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)

Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship. - Junfeng Kang; Rui Li 093; Qi Liu 003; Zhenya Huang; Zheng Zhang 048; Yanjiang Chen; Linbo Zhu; Yu Su 002 (AAAI, 2025)

Intent Oriented Contrastive Learning for Sequential Recommendation. - Wuhong Wang; Jianhui Ma; Yuren Zhang; Kai Zhang 038; Junzhe Jiang 001; Yihui Yang; Yacong Zhou; Zheng Zhang 048 (AAAI, 2025)

PQR: Improving Dense Retrieval via Potential Query Modeling. - Junfeng Kang; Rui Li 093; Qi Liu 003; Yanjiang Chen; Zheng Zhang 048; Junzhe Jiang 001; Heng Yu; Yu Su 002 (ACL (1), 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)

MGS3: A Multi-Granularity Self-Supervised Code Search Framework. - Rui Li 093; Junfeng Kang; Qi Liu 003; Liyang He; Zheng Zhang 048; Yunhao Sha; Linbo Zhu; Zhenya Huang (KDD (1), 2025)

Enhancing Code Search Intent with Programming Context Exploration. - Yanmin Dong; Zhenya Huang; Zheng Zhang 048; Guanhao Zhao; Likang Wu; Hongke Zhao; Binbin Jin; Qi Liu 003 (WSDM, 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)

HCD: A Hierarchy Constraint-Aware Neural Cognitive Diagnosis Framework. - Xinjie Sun; Qi Liu 003; Kai Zhang 038; Shuanghong Shen; Fei Wang 063; Yan Zhuang; Zheng Zhang 048; Weiyin Gong; Shijin Wang 001; Lina Yang; Xingying Huo (Neural Networks, 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)