Cognitive Modelling for Predicting Examinee Performance. - Runze Wu 001; Qi Liu 003; Yuping Liu; Enhong Chen; Yu Su 002; Zhigang Chen 003; Guoping Hu (IJCAI, 2015)

Collaborative Learning Team Formation: A Cognitive Modeling Perspective. - Yuping Liu; Qi Liu 003; Runze Wu 001; Enhong Chen; Yu Su 002; Zhigang Chen 003; Guoping Hu (DASFAA (2), 2016)

Question Difficulty Prediction for READING Problems in Standard Tests. - Zhenya Huang; Qi Liu 003; Enhong Chen; Hongke Zhao; Mingyong Gao; Si Wei; Yu Su 002; Guoping Hu (AAAI, 2017)

Tracking Knowledge Proficiency of Students with Educational Priors. - Yuying Chen; Qi Liu 003; Zhenya Huang; Le Wu; Enhong Chen; Runze Wu 001; Yu Su 002; Guoping Hu (CIKM, 2017)

Exercise-Enhanced Sequential Modeling for Student Performance Prediction. - Yu Su 002; Qingwen Liu 002; Qi Liu 003; Zhenya Huang; Yu Yin 002; Enhong Chen; Chris H. Q. Ding; Si Wei; Guoping Hu (AAAI, 2018)

MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. - Tianyu Zhu; Qi Liu 003; Zhenya Huang; Enhong Chen; Defu Lian; Yu Su 002; Guoping Hu (DASFAA (2), 2018)

Finding Similar Exercises in Online Education Systems. - Qi Liu 003; Zai Huang; Zhenya Huang; Chuanren Liu; Enhong Chen; Yu Su 002; Guoping Hu (KDD, 2018)

Fuzzy Cognitive Diagnosis for Modelling Examinee Performance. - Qi Liu 003; Runze Wu 001; Enhong Chen; Guandong Xu; Yu Su 002; Zhigang Chen 003; Guoping Hu (ACM Trans. Intell. Syst. Technol., 2018)

Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. - Xiaoqing Huang; Qi Liu 003; Chao Wang 086; Haoyu Han; Jianhui Ma; Enhong Chen; Yu Su 002; Shijin Wang 001 (ICDM, 2019)

QuesNet: A Unified Representation for Heterogeneous Test Questions. - Yu Yin 002; Qi Liu 003; Zhenya Huang; Enhong Chen; Wei Tong; Shijin Wang 001; Yu Su 002 (KDD, 2019)

Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. - Haoyang Bi; Haiping Ma; Zhenya Huang; Yu Yin 002; Qi Liu 003; Enhong Chen; Yu Su 002; Shijin Wang 001 (ICDM, 2020)

Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. - Shuanghong Shen; Qi Liu 003; Enhong Chen; Han Wu 002; Zhenya Huang; Weihao Zhao; Yu Su 002; Haiping Ma; Shijin Wang 001 (SIGIR, 2020)

Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System. - Siqi Lei; Wei Huang 002; Shiwei Tong; Qi Liu 003; Zhenya Huang; Enhong Chen; Yu Su 002 (ICBK, 2021)

Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. - Jie Huang 024; Qi Liu 003; Fei Wang 063; Zhenya Huang; Songtao Fang; Runze Wu 001; Enhong Chen; Yu Su 002; Shijin Wang 001 (ICDM, 2021)

DisenQNet: Disentangled Representation Learning for Educational Questions. - Zhenya Huang; Xin Lin 005; Hao Wang 076; Qi Liu 003; Enhong Chen; Jianhui Ma; Yu Su 002; Wei Tong (KDD, 2021)

Learning Process-consistent Knowledge Tracing. - Shuanghong Shen; Qi Liu 003; Enhong Chen; Zhenya Huang; Wei Huang 002; Yu Yin 002; Yu Su 002; Shijin Wang 001 (KDD, 2021)

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)

Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing. - Yu Su 002; Zeyu Cheng; Pengfei Luo; Jinze Wu; Lei Zhang 060; Qi Liu 003; Shijin Wang 001 (Knowl. Based Syst., 2021)

EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction. - Qi Liu 003; Zhenya Huang; Yu Yin 002; Enhong Chen; Hui Xiong 001; Yu Su 002; Guoping Hu (IEEE Trans. Knowl. Data Eng., 2021)

Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. - Xiaonan Zeng; Shuanghong Shen; Zhenya Huang; Enhong Chen; Yu Su 002; Shijin Wang 001 (ICTAI, 2022)

HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. - Jiatong Li 002; Fei Wang 063; Qi Liu 003; Mengxiao Zhu 001; Wei Huang 002; Zhenya Huang; Enhong Chen; Yu Su 002; Shijin Wang 001 (KDD, 2022)

PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing. - Ruixin Li; Yu Yin 002; Le Dai; Shuanghong Shen; Xin Lin 005; Yu Su 002; Enhong Chen (SIGIR, 2022)

Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. - Shuanghong Shen; Zhenya Huang; Qi Liu 003; Yu Su 002; Shijin Wang 001; Enhong Chen (SIGIR, 2022)

AdaptKT: A Domain Adaptable Method for Knowledge Tracing. - Song Cheng; Qi Liu 003; Enhong Chen; Kai Zhang 038; Zhenya Huang; Yu Yin 002; Xiaoqing Huang; Yu Su 002 (WSDM, 2022)

Graph-based cognitive diagnosis for intelligent tutoring systems. - Yu Su 002; Zeyu Cheng; Jinze Wu; Yanmin Dong; Zhenya Huang; Le Wu; Enhong Chen; Shijin Wang 001; Fei Xie (Knowl. Based Syst., 2022)

An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. - Peijie Sun; Le Wu; Kun Zhang 015; Yu Su 002; Meng Wang 001 (ACM Trans. Inf. Syst., 2022)

PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. - Minghui Shan; Yixiao Ma; Shulan Ruan; Zhi Cao; Shiwei Tong; Qi Liu 003; Yu Su 002; Shijin Wang 001 (CIKM, 2023)

Quiz-based Knowledge Tracing. - Shuanghong Shen; Enhong Chen; Bihan Xu; Qi Liu 003; Zhenya Huang; Linbo Zhu; Yu Su 002 (CoRR, 2023)

Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing. - Shuanghong Shen; Enhong Chen; Qi Liu 003; Zhenya Huang; Wei Huang 002; Yu Yin 002; Yu Su 002; Shijin Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

NeuralCD: A General Framework for Cognitive Diagnosis. - Fei Wang 063; Qi Liu 003; Enhong Chen; Zhenya Huang; Yu Yin 002; Shijin Wang 001; Yu Su 002 (IEEE Trans. Knowl. Data Eng., 2023)

A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems. - Jia-Yu Liu 001; Fei Wang 063; Haiping Ma; Zhenya Huang; Qi Liu 003; En-Hong Chen; Yu Su 002 (J. Comput. Sci. Technol., 2023)

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)

RePair: Automated Program Repair with Process-based Feedback. - Yuze Zhao; Zhenya Huang; Yixiao Ma; Rui Li 093; Kai Zhang 038; Hao Jiang 023; Qi Liu 003; Linbo Zhu; Yu Su 002 (ACL (Findings), 2024)

Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach. - Yuxiang Guo 002; Shuanghong Shen; Qi Liu 003; Zhenya Huang; Linbo Zhu; Yu Su 002; Enhong Chen (CIKM, 2024)

Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective. - Weizhe Huang; Shuanghong Shen; Zhenya Huang; Qi Liu 003; Junyu Lu; Yu Su 002 (DASFAA (2), 2024)

I-AM-G: Interest Augmented Multimodal Generator for Item Personalization. - Xianquan Wang; Likang Wu; Shukang Yin; Zhi Li 057; Yanjiang Chen; Hufeng Hufeng; Yu Su 002; Qi Liu 003 (EMNLP, 2024)

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. - Jiatong Li 002; Qi Liu 003; Fei Wang 063; Jiayu Liu 001; Zhenya Huang; Fangzhou Yao; Linbo Zhu; Yu Su 002 (WWW, 2024)

Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning. - Yu Su 002; Ze Han; Shuanghong Shen; Xuejie Yang; Zhenya Huang; Jinze Wu; Huawei Zhou 002; Qi Liu 003 (Expert Syst. Appl., 2024)

Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System. - Yu Su 002; Xuejie Yang; Junyu Lu; Yu Liu 005; Ze Han; Shuanghong Shen; Zhenya Huang; Qi Liu 003 (Expert Syst. Appl., 2024)

Global and local neural cognitive modeling for student performance prediction. - Yu Su 002; Shuanghong Shen; Linbo Zhu; Le Wu; Zhenya Huang; Zeyu Cheng; Qi Liu 003; Shijin Wang 001 (Expert Syst. Appl., 2024)

Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings. - Haoyang Bi; Qi Liu 003; Han Wu 002; Weidong He; Zhenya Huang; Yu Yin 002; Haiping Ma; Yu Su 002; Shijin Wang 001; Enhong Chen (ACM Trans. Intell. Syst. Technol., 2024)

VERSE: Verification-based Self-Play for Code Instructions. - Hao Jiang 023; Qi Liu 003; Rui Li 093; Yuze Zhao; Yixiao Ma; Shengyu Ye; Junyu Lu; Yu Su 002 (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)

ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction. - Zixiao Kong; Xianquan Wang; Shuanghong Shen; Keyu Zhu; Huibo Xu; Yu Su 002 (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)

Neural Network Student Cognitive Diagnosis Model Based on Multi-Relational Graph. - Ze Han; Yu Su 002; Qi Mo; Xinyu Nie (GAIIS, 2025)

Memory and Time: A Psychology-Informed Depression Detection. - Xiangyu Zheng; Junyu Lu; Qingtao Cheng; Yu Su 002 (ICIC (27), 2025)

Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective. - Xianquan Wang; Likang Wu; Zhi Li 057; Haitao Yuan 002; Shuanghong Shen; Huibo Xu; Yu Su 002; Chenyi Lei (KDD (1), 2025)

STHKT: Spatiotemporal Knowledge Tracing with Topological Hawkes Process. - Shuting Li 001; Shuanghong Shen; Yu Su 002; Xinjie Sun; Junyu Lu; Qi Mo; Zhenyi Wu; Qi Liu 003 (Expert Syst. Appl., 2025)

Semantic distillation and enhanced diagnostic alignment: A novel approach for depression detection in social media. - Yu Su 002; Xiangyu Zheng; Junyu Lu; Yi Gong; Qijuan Gao; Shuanghong Shen; Qi Liu 003 (Expert Syst. Appl., 2025)

Lbgcn: Lightweight bilinear graph convolutional network with attention mechanism for recommendation. - Yu Su 002; Pingzhu Wei; Linbo Zhu; Lixiang Xu; Xianquan Wang; He Tong; Ze Han (Appl. Intell., 2025)

LLM-EPSP: Large language model empowered early prediction of student performance. - Huawei Zhou 002; Shuanghong Shen; Yu Su 002; Yongchun Miao; Qi Liu 003; Linbo Zhu; Junyu Lu; Zhenya Huang (Inf. Process. Manag., 2026)