Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. - Le Wu; Yong Ge; Qi Liu 003; Enhong Chen; Bai Long; Zhenya Huang (AAAI, 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)

Confidence-Aware Matrix Factorization for Recommender Systems. - Chao Wang 086; Qi Liu 003; Runze Wu 001; Enhong Chen; Chuanren Liu; Xunpeng Huang; Zhenya Huang (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)

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. - Zhi Li 057; Hongke Zhao; Qi Liu 003; Zhenya Huang; Tao Mei 001; Enhong Chen (KDD, 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)

Transcribing Content from Structural Images with Spotlight Mechanism. - Yu Yin 002; Zhenya Huang; Enhong Chen; Qi Liu 003; Fuzheng Zhang; Xing Xie 001; Guoping Hu (KDD, 2018)

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. - Chengqiang Lu; Qi Liu 003; Chao Wang 086; Zhenya Huang; Peize Lin; Lixin He (AAAI, 2019)

DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. - Song Cheng; Qi Liu 003; Enhong Chen; Zai Huang; Zhenya Huang; Yiying Chen; Haiping Ma; Guoping Hu (CIKM, 2019)

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)

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)

Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems. - Fei Wang 063; Qi Liu 003; Enhong Chen; Zhenya Huang (CoRR, 2019)

Learning to Order Sub-questions for Complex Question Answering. - Yunan Zhang 001; Xiang Cheng; Yufeng Zhang; Zihan Wang; Zhengqi Fang; Xiaoyan Wang; Zhenya Huang; Chengxiang Zhai (CoRR, 2019)

A Variational Point Process Model for Social Event Sequences. - Zhen Pan; Zhenya Huang; Defu Lian; Enhong Chen (AAAI, 2020)

Neural Cognitive Diagnosis for Intelligent Education Systems. - Fei Wang 063; Qi Liu 003; Enhong Chen; Zhenya Huang; Yuying Chen; Yu Yin 002; Zai Huang; Shijin Wang 001 (AAAI, 2020)

Predicting Human Mobility with Self-attention and Feature Interaction. - Jingang Jiang 002; Shuo Tao; Defu Lian; Zhenya Huang; Enhong Chen (APWeb/WAIM (2), 2020)

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)

Technical Phrase Extraction for Patent Mining: A Multi-level Approach. - Ye Liu 011; Han Wu 002; Zhenya Huang; Hao Wang 076; Jianhui Ma; Qi Liu 003; Enhong Chen; Hanqing Tao; Ke Rui (ICDM, 2020)

Structure-based Knowledge Tracing: An Influence Propagation View. - Shiwei Tong; Qi Liu 003; Wei Huang 002; Zhenya Huang; Enhong Chen; Chuanren Liu; Haiping Ma; Shijin Wang 001 (ICDM, 2020)

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. - Zhongkai Hao; Chengqiang Lu; Zhenya Huang; Hao Wang 076; Zheyuan Hu 002; Qi Liu 003; Enhong Chen; Cheekong Lee (KDD, 2020)

Fine-Grained Similarity Measurement between Educational Videos and Exercises. - Xin Wang 037; Wei Huang 002; Qi Liu 003; Yu Yin 002; Zhenya Huang; Le Wu; Jianhui Ma; Xue Wang (ACM Multimedia, 2020)

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)

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)

Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. - Zhenya Huang; Qi Liu 003; Yuying Chen; Le Wu; Keli Xiao; Enhong Chen; Haiping Ma; Guoping Hu (ACM Trans. Inf. Syst., 2020)

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. - Yin Gu; Qi Liu 003; Kai Zhang 038; Zhenya Huang; Runze Wu 001; Jianrong Tao (AAAI, 2021)

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. - Xin Lin 005; Zhenya Huang; Hongke Zhao; Enhong Chen; Qi Liu 003; Hao Wang 076; Shijin Wang 001 (AAAI, 2021)

Stable and Diverse: A Unified Approach for Computerized Adaptive Testing. - Yuting Ning; Ye Liu 011; Zhenya Huang; Haoyang Bi; Qi Liu 003; Enhong Chen; Dan Zhang (CCIS, 2021)

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)

STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. - Ye Huang; Wei Huang 002; Shiwei Tong; Zhenya Huang; Qi Liu 003; Enhong Chen; Jianhui Ma; Liang Wan; Shijin Wang 001 (ICDM, 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)

Guided Attention Network for Concept Extraction. - Songtao Fang; Zhenya Huang; Ming He; Shiwei Tong; Xiaoqing Huang; Ye Liu 011; Jie Huang 024; Qi Liu 003 (IJCAI, 2021)

Item Response Ranking for Cognitive Diagnosis. - Shiwei Tong; Qi Liu 003; Runlong Yu; Wei Huang 002; Zhenya Huang; Zachary A. Pardos; Weijie Jiang (IJCAI, 2021)

Preference-Adaptive Meta-Learning for Cold-Start Recommendation. - Li Wang 014; Binbin Jin; Zhenya Huang; Hongke Zhao; Defu Lian; Qi Liu 003; Enhong Chen (IJCAI, 2021)

GraphMI: Extracting Private Graph Data from Graph Neural Networks. - Zaixi Zhang; Qi Liu 003; Zhenya Huang; Hao Wang 076; Chengqiang Lu; Chuanren Liu; Enhong Chen (IJCAI, 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)

Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. - Yuqiang Zhou; Qi Liu 003; Jinze Wu; Fei Wang 063; Zhenya Huang; Wei Tong; Hui Xiong 001; Enhong Chen; Jianhui Ma (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)

Federated Deep Knowledge Tracing. - Jinze Wu; Zhenya Huang; Qi Liu 003; Defu Lian; Hao Wang 076; Enhong Chen; Haiping Ma; Shijin Wang 001 (WSDM, 2021)

Hierarchical Personalized Federated Learning for User Modeling. - Jinze Wu; Qi Liu 003; Zhenya Huang; Yuting Ning; Hao Wang 076; Enhong Chen; Jinfeng Yi; Bowen Zhou 001 (WWW, 2021)

A Survey of Knowledge Tracing. - Qi Liu 003; Shuanghong Shen; Zhenya Huang; Enhong Chen; Yonghe Zheng (CoRR, 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)

Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems. - Binbin Jin; Enhong Chen; Hongke Zhao; Zhenya Huang; Qi Liu 003; Hengshu Zhu; Shui Yu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. - Yan Zhuang; Qi Liu 003; Zhenya Huang; Zhi Li 057; Shuanghong Shen; Haiping Ma (AAAI, 2022)

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)

Dynamic Clustering Federated Learning for Non-IID Data. - Ming Chen; Jinze Wu; Yu Yin 002; Zhenya Huang; Qi Liu 003; Enhong Chen (CICAI (3), 2022)

A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. - Jiayu Liu 001; Zhenya Huang; Xin Lin 005; Qi Liu 003; Jianhui Ma; Enhong Chen (ICDM, 2022)

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)

Incremental Cognitive Diagnosis for Intelligent Education. - Shiwei Tong; Jiayu Liu 001; Yuting Hong; Zhenya Huang; Le Wu; Qi Liu 003; Wei Huang 002; Enhong Chen; Dan Zhang (KDD, 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)

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. - Kai Zhang 038; Qi Liu 003; Zhenya Huang; Mingyue Cheng; Kun Zhang 015; Mengdi Zhang 002; Wei Wu 014; Enhong Chen (SIGIR, 2022)

A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. - Yan Zhuang; Qi Liu 003; Zhenya Huang; Zhi Li 057; Binbin Jin; Haoyang Bi; Enhong Chen; Shijin Wang 001 (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)

Clause-level Relationship-aware Math Word Problems Solver. - Chang-Yang Wu; Xin Lin 005; Zhenya Huang; Yu Yin 002; Jia-Yu Liu 001; Qi Liu 003; Gang Zhou (Int. J. Autom. Comput., 2022)

Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. - Jian-Fu Zhu; Zhongkai Hao; Qi Liu 003; Yu Yin 002; Chengqiang Lu; Zhenya Huang; En-Hong Chen (J. Comput. Sci. Technol., 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)

Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. - Leyan Deng; Defu Lian; Zhenya Huang; Enhong Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. - Hao Wang 076; Defu Lian; Hanghang Tong; Qi Liu 003; Zhenya Huang; Enhong Chen (ACM Trans. Inf. Syst., 2022)

Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. - Jiayu Liu 001; Zhenya Huang; ChengXiang Zhai; Qi Liu 003 (AAAI, 2023)

Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. - Yuting Ning; Zhenya Huang; Xin Lin 005; Enhong Chen; Shiwei Tong; Zheng Gong 001; Shijin Wang 001 (AAAI, 2023)

Enhancing Hierarchical Text Classification through Knowledge Graph Integration. - Ye Liu 011; Kai Zhang 038; Zhenya Huang; Kehang Wang; Yanghai Zhang; Qi Liu 003; Enhong Chen (ACL (Findings), 2023)

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs. - Xukai Liu; Kai Zhang 038; Ye Liu 011; Enhong Chen; Zhenya Huang; Linan Yue; Jiaxian Yan (ACL (Findings), 2023)

Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. - Guanhao Zhao; Zhenya Huang; Yan Zhuang; Jiayu Liu 001; Qi Liu 003; Zhiding Liu; Jinze Wu; Enhong Chen (CIKM, 2023)

Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. - Kehang Wang; Qi Liu 003; Kai Zhang 038; Ye Liu 011; Hanqing Tao; Zhenya Huang; Enhong Chen (DASFAA (2), 2023)

Interventional Rationalization. - Linan Yue; Qi Liu 003; Li Wang 014; Yanqing An; Yichao Du; Zhenya Huang (EMNLP, 2023)

Exploiting Non-Interactive Exercises in Cognitive Diagnosis. - Fangzhou Yao; Qi Liu 003; Min Hou; Shiwei Tong; Zhenya Huang; Enhong Chen; Jing Sha; Shijin Wang 001 (IJCAI, 2023)

Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. - Jiayu Liu 001; Zhenya Huang; Zhiyuan Ma 006; Qi Liu 003; Enhong Chen; Tianhuang Su; Haifeng Liu 004 (KDD, 2023)

Learning Behavior-oriented Knowledge Tracing. - Bihan Xu; Zhenya Huang; Jiayu Liu 001; Shuanghong Shen; Qi Liu 003; Enhong Chen; Jinze Wu; Shijin Wang 001 (KDD, 2023)

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. - Zhiding Liu; Mingyue Cheng; Zhi Li 057; Zhenya Huang; Qi Liu 003; Yanhu Xie; Enhong Chen (NeurIPS, 2023)

A Bounded Ability Estimation for Computerized Adaptive Testing. - Yan Zhuang; Qi Liu 003; Guanhao Zhao; Zhenya Huang; Weizhe Huang; Zachary A. Pardos; Enhong Chen; Jinze Wu; Xin Li 064 (NeurIPS, 2023)

Learning from Crowds with Annotation Reliability. - Zhi Cao; Enhong Chen; Ye Huang; Shuanghong Shen; Zhenya Huang (SIGIR, 2023)

Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. - Yujie Chen; Runlong Yu; Qi Liu 003; Enhong Chen; Zhenya Huang (SIGIR, 2023)

A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. - Longhu Qin; Jiayu Liu 001; Zhenya Huang; Kai Zhang 038; Qi Liu 003; Binbin Jin; Enhong Chen (SIGIR, 2023)

MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. - Yin Gu; Kai Zhang 038; Qi Liu 003; Xin Lin 005; Zhenya Huang; Enhong Chen (WWW, 2023)

Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. - Yu Yin 002; Le Dai; Zhenya Huang; Shuanghong Shen; Fei Wang 063; Qi Liu 003; Enhong Chen; Xin Li 064 (WWW, 2023)

A Novel Approach for Auto-Formulation of Optimization Problems. - Yuting Ning; Jiayu Liu 001; Longhu Qin; Tong Xiao; Shangzi Xue; Zhenya Huang; Qi Liu 003; Enhong Chen; Jinze Wu (CoRR, 2023)

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

Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance. - Jiatong Li 002; Qi Liu 003; Fei Wang 063; Jiayu Liu 001; Zhenya Huang; Enhong Chen (CoRR, 2023)

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. - Likang Wu; Hongke Zhao; Zhi Li 057; Zhenya Huang; Qi Liu 003; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2023)

Decoupled Representation Learning for Attributed Networks. - Hao Wang 076; Defu Lian; Hanghang Tong; Qi Liu 003; Zhenya Huang; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

A generalized multi-skill aggregation method for cognitive diagnosis. - Suojuan Zhang; Song Huang; Xiaohan Yu 004; Enhong Chen; Fei Wang 063; Zhenya Huang (World Wide Web (WWW), 2023)

Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. - Zhenya Huang; Binbin Jin; Hongke Zhao; Qi Liu 003; Defu Lian; Tengfei Bao; Enhong Chen (ACM Trans. Inf. Syst., 2023)

Federated User Modeling from Hierarchical Information. - Qi Liu 003; Jinze Wu; Zhenya Huang; Hao Wang 076; Yuting Ning; Ming Chen; Enhong Chen; Jinfeng Yi; Bowen Zhou 001 (ACM Trans. Inf. Syst., 2023)

Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective. - Fei Wang 063; Zhenya Huang; Qi Liu 003; Enhong Chen; Yu Yin 002; Jianhui Ma; Shijin Wang 001 (IEEE Trans. Learn. Technol., 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)

HMNet: a hierarchical multi-modal network for educational video concept prediction. - Wei Huang 002; Tong Xiao; Qi Liu 003; Zhenya Huang; Jianhui Ma; Enhong Chen (Int. J. Mach. Learn. Cybern., 2023)

HmcNet: A General Approach for Hierarchical Multi-Label Classification. - Wei Huang 002; Enhong Chen; Qi Liu 003; Hui Xiong 001; Zhenya Huang; Shiwei Tong; Dan Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Model Inversion Attacks Against Graph Neural Networks. - Zaixi Zhang; Qi Liu 003; Zhenya Huang; Hao Wang 076; Chee-Kong Lee; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

An Efficient and Robust Semantic Hashing Framework for Similar Text Search. - Liyang He; Zhenya Huang; Enhong Chen; Qi Liu 003; Shiwei Tong; Hao Wang 076; Defu Lian; Shijin Wang 001 (ACM Trans. Inf. Syst., 2023)

TechPat: Technical Phrase Extraction for Patent Mining. - Ye Liu 011; Han Wu 002; Zhenya Huang; Hao Wang 076; Yuting Ning; Jianhui Ma; Qi Liu 003; Enhong Chen (ACM Trans. Knowl. Discov. Data, 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)

Enhancing the Completeness of Rationales for Multi-Step Question Answering. - Shangzi Xue; Zhenya Huang; Xin Lin 005; Jiayu Liu 001; Longhu Qin; Tianhuang Su; Haifeng Liu 004; Qi Liu 003 (CIKM, 2024)

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. - Mingyue Cheng; Hao Zhang 088; Qi Liu 003; Fajie Yuan; Zhi Li 057; Zhenya Huang; Enhong Chen; Jun Zhou 011; Longfei Li (DASFAA (3), 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)

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)

Towards Explainable Computerized Adaptive Testing with Large Language Model. - Cheng Cheng; Guanhao Zhao; Zhenya Huang; Yan Zhuang; Zhaoyuan Pan; Qi Liu 003; Xin Li 064; Enhong Chen (EMNLP (Findings), 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)

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. - Junhao Yu; Yan Zhuang; Zhenya Huang; Qi Liu 003; Xin Li 064; Rui Li 093; Enhong Chen (ICML, 2024)

Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. - Tong Xiao; Jiayu Liu 001; Zhenya Huang; Jinze Wu; Jing Sha; Shijin Wang 001; Enhong Chen (IJCAI, 2024)

Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective. - Haotian Zhang; Shuanghong Shen; Bihan Xu; Zhenya Huang; Jinze Wu; Jing Sha; Shijin Wang 001 (KDD, 2024)

One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network. - Liyang He; Zhenya Huang; Chenglong Liu; Rui Li 093; Runze Wu 001; Qi Liu 003; Enhong Chen (ACM Multimedia, 2024)

SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models. - Jiayu Liu 001; Zhenya Huang; Tong Xiao; Jing Sha; Jinze Wu; Qi Liu 003; Shijin Wang 001; Enhong Chen (NeurIPS, 2024)

Computerized Adaptive Testing via Collaborative Ranking. - Zirui Liu 010; Yan Zhuang; Qi Liu 003; Jiatong Li 002; Yuren Zhang; Zhenya Huang; Jinze Wu; Shijin Wang 001 (NeurIPS, 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)

Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle. - Shangzi Xue; Zhenya Huang; Jiayu Liu 001; Xin Lin 005; Yuting Ning; Binbin Jin; Xin Li 064; Qi Liu 003 (NeurIPS, 2024)

Graph-based Student Knowledge Profile for Online Intelligent Education. - Jinze Wu; Haotian Zhang; Zhenya Huang; Liang Ding; Qi Liu 003; Jing Sha; Enhong Chen; Shijin Wang 001 (SDM, 2024)

Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. - Mingyue Cheng; Hao Zhang 088; Jiqian Yang; Qi Liu 003; Li Li; Xin Huang; Liwei Song; Zhi Li 057; Zhenya Huang; Enhong Chen (WWW (Companion Volume), 2024)

Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. - Liyang He; Zhenya Huang; Jiayu Liu 001; Enhong Chen; Fei Wang 063; Jing Sha; Shijin Wang 001 (WWW, 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)

A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. - Xin Lin 005; Tianhuang Su; Zhenya Huang; Shangzi Xue; Haifeng Liu 004; Enhong Chen (WWW, 2024)

Unified Uncertainty Estimation for Cognitive Diagnosis Models. - Fei Wang 063; Qi Liu 003; Enhong Chen; Chuanren Liu; Zhenya Huang; Jinze Wu; Shijin Wang 001 (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)

Multi-dimensional ability diagnosis for machine learning algorithms. - Qi Liu 003; Zheng Gong 001; Zhenya Huang; Chuanren Liu; Hengshu Zhu; Zhi Li 057; Enhong Chen; Hui Xiong 001 (Sci. China Inf. Sci., 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 Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. - Fei Wang 063; Haoyu Liu; Haoyang Bi; Xiangzhuang Shen; Renyu Zhu; Runze Wu 001; Minmin Lin; Tangjie Lv; Changjie Fan; Qi Liu 003; Zhenya Huang; Enhong Chen (CoRR, 2024)

Survey of Computerized Adaptive Testing: A Machine Learning Perspective. - Qi Liu 003; Yan Zhuang; Haoyang Bi; Zhenya Huang; Weizhe Huang; Jiatong Li 002; Junhao Yu; Zirui Liu 010; Zirui Hu; Yuting Hong; Zachary A. Pardos; Haiping Ma; et al. (CoRR, 2024)

EduNLP: Towards a Unified and Modularized Library for Educational Resources. - Zhenya Huang; Yuting Ning; Longhu Qin; Shiwei Tong; Shangzi Xue; Tong Xiao; Xin Lin 005; Jiayu Liu 001; Qi Liu 003; Enhong Chen; Shijing Wang (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)

End-to-End Graph Flattening Method for Large Language Models. - Bin Hong; Jinze Wu; Jiayu Liu 001; Liang Ding; Jing Sha; Kai Zhang 038; Shijin Wang 001; Zhenya Huang (CoRR, 2024)

A Flexible Plug-and-Play Module for Generating Variable-Length. - Liyang He; Yuren Zhang; Rui Li 093; Zhenya Huang; Runze Wu 001; Enhong Chen (CoRR, 2024)

What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis. - Jia-Yu Liu 001; Zhenya Huang; Chaokun Wang; Xunpeng Huang; Chengxiang Zhai; Enhong Chen (CoRR, 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)

Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhenya Huang; Yongqiang Han; Junji Jiang; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2024)

A Survey of Knowledge Tracing: Models, Variants, and Applications. - Shuanghong Shen; Qi Liu 003; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen (IEEE Trans. Learn. Technol., 2024)

A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment. - Guanhao Zhao; Zhenya Huang; Yan Zhuang; Haoyang Bi; Yiyan Wang; Fei Wang 063; Zhiyuan Ma 006; Yixia Zhao (IEEE Trans. Learn. Technol., 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)

Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment. - Chuang Zhao 002; Hongke Zhao; Hengshu Zhu; Zhenya Huang; Nan Feng; Enhong Chen; Hui Xiong 001 (IEEE Trans. Syst. Man Cybern. Syst., 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)

Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. - Xin Lin 005; Zhenya Huang; Hongke Zhao; Enhong Chen; Qi Liu 003; Defu Lian; Xin Li 064; Hao Wang 076 (IEEE Trans. Neural Networks Learn. Syst., 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)

Explore What LLM Does Not Know in Complex Question Answering. - Xin Lin 005; Zhenya Huang; Zhiqiang Zhang 012; Jun Zhou 011; Enhong Chen (AAAI, 2025)

Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning. - Zhiyuan Ma 006; Zhenya Huang; Jiayu Liu 001; Minmao Wang; Hongke Zhao; Xin Li 064 (AAAI, 2025)

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model. - Guanhao Zhao; Zhenya Huang; Cheng Cheng; Yan Zhuang; Qingyang Mao; Xin Li 064; Shijin Wang 001; Enhong Chen (AAAI, 2025)

From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation. - Cheng Cheng; Zhenya Huang; Guanhao Zhao; Yuxiang Guo 002; Xin Lin 005; Jinze Wu; Xin Li 064; Shijin Wang 001 (ACL (1), 2025)

Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models. - Liyang He; Chenglong Liu; Rui Li 093; Zhenya Huang; Shulan Ruan; Jun Zhou 011; Enhong Chen (ACL (Findings), 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)

CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval. - Heng Yu; Junfeng Kang; Rui Li 093; Qi Liu 003; Liyang He; Zhenya Huang; Shuanghong Shen; Junyu Lu (ACL (Findings), 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)

Can LLMs Solve Longer Math Word Problems Better? - Xin Xu; Tong Xiao; Zitong Chao; Zhenya Huang; Can Yang; Yang Wang 020 (ICLR, 2025)

Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. - Yuze Zhao; Tianyun Ji; Wenjun Feng; Zhenya Huang; Qi Liu 003; Zhiding Liu; Yixiao Ma; Kai Zhang 038; Enhong Chen (ICLR, 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)

Live streaming recommendation based on multiple types of repeated behaviors. - Mengxiao Zhu 001; Qi Shu; Shuanghong Shen; Li Feng; Jiancan Wu; Zhenya Huang (Expert Syst. Appl., 2025)

Practicing in quiz, assessing in quiz: A quiz-based neural network approach for knowledge tracing. - Shuanghong Shen; Qi Liu 003; Zhenya Huang; Linbo Zhu; Junyu Lu; Kai Zhang 038 (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)

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey. - Aoran Gan; Hao Yu; Kai Zhang 038; Qi Liu 003; Wenyu Yan; Zhenya Huang; Shiwei Tong; Guoping Hu (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)

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective. - Jiayu Liu; Zhenya Huang; Wei Dai; Cheng Cheng; Jinze Wu; Jing Sha; Song Li; Qi Liu; Shijin Wang 001; Enhong Chen (CoRR, 2025)

Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning. - Zhiyuan Ma; Jiayu Liu; Xianzhen Luo; Zhenya Huang; Qingfu Zhu; Wanxiang Che (CoRR, 2025)

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling. - Bihan Xu; Shiwei Zhao; Runze Wu 001; Zhenya Huang; Jiawei Wang; Zhipeng Hu; Kai Wang 064; Haoyu Liu; Tangjie Lv; Le Li; Changjie Fan; Xin T. Tong; et al. (CoRR, 2025)

Advancing Multimodal Reasoning Capabilities of Multimodal Large Language Models via Visual Perception Reward. - Tong Xiao; Xin Xu; Zhenya Huang; Hongyu Gao; Quan Liu 002; Qi Liu 003; Enhong Chen (CoRR, 2025)

A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects. - Shulan Ruan; Rongwei Wang; Xuchen Shen; Huijie Liu; Baihui Xiao; Jun Shi; Kun Zhang 015; Zhenya Huang; Yu Liu 005; Enhong Chen; You He (CoRR, 2025)

Knowledge-Centered Dual-Process Reasoning for Math Word Problems With Large Language Models. - Jiayu Liu 001; Zhenya Huang; Qi Liu 003; Zhiyuan Ma 006; Chengxiang Zhai; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2025)

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization. - Bin Hong; Jiayu Liu; Zhenya Huang; Kai Zhang 038; Mengdi Zhang (CoRR, 2025)

Multi-View Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction. - Huijie Liu; Shulan Ruan; Han Wu 002; Zhenya Huang; Defu Lian; Qi Liu 003; Enhong Chen (IEEE Trans. Big Data, 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)