| 2026 | AAAI | From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs. | Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang |
| 2026 | AAAI | BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation. | Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang |
| 2026 | AAAI | CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling. | Bichen Wang, Yixin Sun, Junzhe Wang, Hao Yang, Xing Fu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin |
| 2026 | ACL | Re³: Relevance & Recency Retrieval for Mitigating Temporal Hallucination. | Jiawei Cao, Jie Ouyang, Mingyue Cheng, Zhaomeng Zhou, Chunli Liu, Yupeng Li, Zirui Liu, Shijin Wang |
| 2026 | ACL | CPT-Agent: A Cognitive Process Theory-driven Framework for Student Simulation in Writing Development. | Yuhan Chen, Zizhuo Shen, Miaomiao Cheng, Xu Han, Jiefu Gong, Shijin Wang, Wei Song |
| 2026 | ACL | Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models. | Runxuan Liu, Xianhao Ou, Xinyan Ma, Jiyuan Wang, Jiafeng Liang, Jiaqi Li, Tao He, Zheng Chu, Rongchuan Mu, Zekun Wang, Baoxin Wang, Dayong Wu, Ming Liu, Shijin Wang, Guoping Hu, Bing Qin |
| 2026 | SIGIR | Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA. | Keyu Zhu, Shuanghong Shen, Xianquan Wang, Kai Zhang, Shijin Wang, Qi Liu, Zhenya Huang |
| 2025 | AAAI | Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model. | Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen |
| 2025 | ACL | From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation. | Cheng Cheng, Zhenya Huang, Guanhao Zhao, Yuxiang Guo, Xin Lin, Jinze Wu, Xin Li, Shijin Wang |
| 2025 | ACL | Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. | Runxuan Liu, Luobei Luobei, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin |
| 2025 | EMNLP | MMATH: A Multilingual Benchmark for Mathematical Reasoning. | Wenyang Luo, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen |
| 2025 | EMNLP | Chart2Code53: A Large-Scale Diverse and Complex Dataset for Enhancing Chart-to-Code Generation. | Tianhao Niu, Yiming Cui, Baoxin Wang, Xiao Xu, Xin Yao, Qingfu Zhu, Dayong Wu, Shijin Wang, Wanxiang Che |
| 2025 | EMNLP | Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis. | Yiru Tang, Kun Zhou, Yingqian Min, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang |
| 2025 | EMNLP | Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter. | Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu |
| 2025 | ICLR | Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study. | Lili Zhao, Yang Wang, Qi Liu, Mengyun Wang, Wei Chen, Zhichao Sheng, Shijin Wang |
| 2025 | ICML | 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, Enhong Chen |
| 2025 | ICML | Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving. | Yuxuan Zhou, Xien Liu, Chenwei Yan, Chen Ning, Xiao Zhang, Boxun Li, Xiangling Fu, Shijin Wang, Guoping Hu, Yu Wang, Ji Wu |
| 2025 | ICML | am-ELO: A Stable Framework for Arena-based LLM Evaluation. | Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang |
| 2025 | ICML | CursorCore: Assist Programming through Aligning Anything. | Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang |
| 2025 | ICML | Position: AI Evaluation Should Learn from How We Test Humans. | Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen |
| 2025 | WWW | ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. | Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li, Shijin Wang |
| 2024 | AAAI | CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. | Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang |
| 2024 | EMNLP | SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model. | Dayong Wu, Jiaqi Li, Baoxin Wang, Honghong Zhao, Siyuan Xue, Yanjie Yang, Zhijun Chang, Rui Zhang, Li Qian, Bo Wang, Shijin Wang, Zhixiong Zhang, Guoping Hu |
| 2024 | EMNLP | Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach. | Zihao Xiao, Jiefu Gong, Shijin Wang, Wei Song |
| 2024 | IJCAI | Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. | Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen |
| 2024 | KDD | 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 |
| 2024 | WWW | Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. | Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang |
| 2024 | WWW | Unified Uncertainty Estimation for Cognitive Diagnosis Models. | Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang |
| 2024 | SDM | Graph-based Student Knowledge Profile for Online Intelligent Education. | Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang |
| 2023 | AAAI | BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. | Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu |
| 2023 | AAAI | Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. | Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang |
| 2023 | ACL | Gradient-based Intra-attention Pruning on Pre-trained Language Models. | Ziqing Yang, Yiming Cui, Xin Yao, Shijin Wang |
| 2023 | ACL | Sentence Ordering with a Coherence Verifier. | Sainan Jia, Wei Song, Jiefu Gong, Shijin Wang, Ting Liu |
| 2023 | ACL | IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning. | Zihang Xu, Ziqing Yang, Yiming Cui, Shijin Wang |
| 2023 | ACL | A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations. | Wenjie Zheng, Jianfei Yu, Rui Xia, Shijin Wang |
| 2023 | CIKM | PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. | Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang |
| 2023 | EMNLP | Chinese Metaphorical Relation Extraction: Dataset and Models. | Guihua Chen, Tiantian Wu, MiaoMiao Cheng, Xu Han, Jiefu Gong, Shijin Wang, Wei Song |
| 2023 | IJCAI | Exploiting Non-Interactive Exercises in Cognitive Diagnosis. | Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang |
| 2023 | KDD | Learning Behavior-oriented Knowledge Tracing. | Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang |
| 2023 | KDD | JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. | Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu |
| 2023 | SIGIR | Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. | Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang |
| 2022 | ACL | Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. | Zheng Gong, Kun Zhou, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen |
| 2022 | ICTAI | Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. | Xiaonan Zeng, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang |
| 2022 | KDD | HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. | Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang |
| 2022 | KDD | JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. | Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen |
| 2022 | SIGIR | Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. | Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen |
| 2022 | SIGIR | A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. | Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang |
| 2021 | AAAI | HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. | Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang |
| 2021 | ACL | IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation. | Jiefu Gong, Xiao Hu, Wei Song, Ruiji Fu, Zhichao Sheng, Bo Zhu, Shijin Wang, Ting Liu |
| 2021 | ACL | Benchmarking Robustness of Machine Reading Comprehension Models. | Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang |
| 2021 | ACL | Dynamic Connected Networks for Chinese Spelling Check. | Baoxin Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu |
| 2021 | ICDM | STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. | Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang |
| 2021 | ICDM | Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. | Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang |
| 2021 | KDD | Learning Process-consistent Knowledge Tracing. | Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang |
| 2021 | SIGIR | RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. | Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su |
| 2021 | WSDM | Federated Deep Knowledge Tracing. | Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang |
| 2020 | AAAI | Discriminative Sentence Modeling for Story Ending Prediction. | Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | AAAI | Neural Cognitive Diagnosis for Intelligent Education Systems. | Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang |
| 2020 | ACL | Conversational Word Embedding for Retrieval-Based Dialog System. | Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu |
| 2020 | ACL | TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. | Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | COLING | A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. | Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu |
| 2020 | COLING | Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer's Disease Detection. | Zhiqiang Guo, Zhaoci Liu, Zhenhua Ling, Shijin Wang, Lingjing Jin, Yunxia Li |
| 2020 | COLING | CharBERT: Character-aware Pre-trained Language Model. | Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | EMNLP | Revisiting Pre-Trained Models for Chinese Natural Language Processing. | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu |
| 2020 | EMNLP | Is Graph Structure Necessary for Multi-hop Question Answering? | Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | ICDE | DCDT: A Digital Clock Drawing Test System for Cognitive Impairment Screening. | Feiyang Xu, Yue Ding, Zhenhua Ling, Xin Li, Yunxia Li, Shijin Wang |
| 2020 | ICDM | Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. | Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang |
| 2020 | ICDM | Structure-based Knowledge Tracing: An Influence Propagation View. | Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang |
| 2020 | SIGIR | Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. | Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang |
| 2019 | AAAI | Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions. | Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu |
| 2019 | CIKM | Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. | Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang |
| 2019 | CoNLL | TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. | Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu |
| 2019 | EMNLP | Cross-Lingual Machine Reading Comprehension. | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu |
| 2019 | EMNLP | A Span-Extraction Dataset for Chinese Machine Reading Comprehension. | Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu |
| 2019 | EMNLP | IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis. | Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu |
| 2019 | ICDM | Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. | Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang |
| 2019 | KDD | Exploiting Cognitive Structure for Adaptive Learning. | Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang |
| 2019 | KDD | QuesNet: A Unified Representation for Heterogeneous Test Questions. | Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su |
| 2018 | LREC | Dataset for the First Evaluation on Chinese Machine Reading Comprehension. | Yiming Cui, Ting Liu, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu |
| 2017 | ACL | Attention-over-Attention Neural Networks for Reading Comprehension. | Yiming Cui, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu, Guoping Hu |
| 2017 | ACL | Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. | Ting Liu, Yiming Cui, Qingyu Yin, Weinan Zhang, Shijin Wang, Guoping Hu |
| 2016 | COLING | Consensus Attention-based Neural Networks for Chinese Reading Comprehension. | Yiming Cui, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu |
| 2016 | NAACL | LSTM Neural Reordering Feature for Statistical Machine Translation. | Yiming Cui, Shijin Wang, Jianfeng Li |
| 2011 | ICASSP | Exploring nuisance attribute projection and score normalization for GLDS-SVM based automatic mispronunciation detection method. | Hongyan Li, Shen Huang, Shijin Wang, Jiaen Liang, Bo Xu |
| 2011 | Interspeech | Context-Dependent Duration Modeling with Backoff Strategy and Look-Up Tables for Pronunciation Assessment and Mispronunciation Detection. | Hongyan Li, Shen Huang, Shijin Wang, Bo Xu |
| 2010 | Interspeech | Automatic reference independent evaluation of prosody quality using multiple knowledge fusions. | Shen Huang, Hongyan Li, Shijin Wang, Jiaen Liang, Bo Xu |
| 2010 | Interspeech | Exploring goodness of prosody by diverse matching templates. | Shen Huang, Hongyan Li, Shijin Wang, Jiaen Liang, Bo Xu |
| 2009 | ICASSP | An efficient mispronounciation detction method using GLDS-SVM and formant enhanced features. | Hongyan Li, Jiaen Liang, Shijin Wang, Bo Xu |
| 2009 | ICALT | Context Dependent Feature Based Bottom-up Rescoring SVM Classifier in Children's English Stress Mis-pronunciation Detection. | Shen Huang, Hongyan Li, Shijin Wang, Jiaen Liang, Bo Xu |
| 2009 | Interspeech | High performance automatic mispronunciation detection method based on neural network and TRAP features. | Hongyan Li, Shijin Wang, Jiaen Liang, Shen Huang, Bo Xu |
| 2008 | ICASSP | Improved phonotactic language identification using random forest language models. | Xiaorui Wang, Shijin Wang, Jiaen Liang, Bo Xu |
| 2008 | ICNC | Music Genre Classification Based on Multiple Classifier Fusion. | Lei Wang, Shen Huang, Shijin Wang, Jiaen Liang, Bo Xu |