Full Utilization of Closed-captions in Broadcast News Recognition. - Meng Meng; Shijin Wang 001; Jiaen Liang; Peng Ding 003; Bo Xu 002 (ISCSLP, 2006)

Improved phonotactic language identification using random forest language models. - Xiaorui Wang; Shijin Wang 001; Jiaen Liang; Bo Xu 002 (ICASSP, 2008)

Music Genre Classification Based on Multiple Classifier Fusion. - Lei Wang 062; Shen Huang; Shijin Wang 001; Jiaen Liang; Bo Xu 002 (ICNC (5), 2008)

Context Dependent Feature Based Bottom-up Rescoring SVM Classifier in Children's English Stress Mis-pronunciation Detection. - Shen Huang; Hongyan Li; Shijin Wang 001; Jiaen Liang; Bo Xu 002 (ICALT, 2009)

An efficient mispronounciation detction method using GLDS-SVM and formant enhanced features. - Hongyan Li; Jiaen Liang; Shijin Wang 001; Bo Xu 002 (ICASSP, 2009)

High performance automatic mispronunciation detection method based on neural network and TRAP features. - Hongyan Li; Shijin Wang 001; Jiaen Liang; Shen Huang; Bo Xu 002 (INTERSPEECH, 2009)

Automatic reference independent evaluation of prosody quality using multiple knowledge fusions. - Shen Huang; Hongyan Li; Shijin Wang 001; Jiaen Liang; Bo Xu 002 (INTERSPEECH, 2010)

Exploring goodness of prosody by diverse matching templates. - Shen Huang; Hongyan Li; Shijin Wang 001; Jiaen Liang; Bo Xu 002 (INTERSPEECH, 2010)

Monaural speech separation based on MAXVQ and CASA for robust speech recognition. - Peng Li 030; Yong Guan; Shijin Wang 001; Bo Xu 002; Wenju Liu (Comput. Speech Lang., 2010)

Exploring nuisance attribute projection and score normalization for GLDS-SVM based automatic mispronunciation detection method. - Hongyan Li; Shen Huang; Shijin Wang 001; Jiaen Liang; Bo Xu 002 (ICASSP, 2011)

Context-Dependent Duration Modeling with Backoff Strategy and Look-Up Tables for Pronunciation Assessment and Mispronunciation Detection. - Hongyan Li; Shen Huang; Shijin Wang 001; Bo Xu 002 (INTERSPEECH, 2011)

The USTC machine translation system for IWSLT 2014. - Shijin Wang 001; Yuguang Wang; Jianfeng Li; Yiming Cui 001; Lirong Dai (IWSLT (Evaluation Campaign), 2014)

LSTM Neural Reordering Feature for Statistical Machine Translation. - Yiming Cui 001; Shijin Wang 001; Jianfeng Li; Yuguang Wang (CoRR, 2015)

Consensus Attention-based Neural Networks for Chinese Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Zhipeng Chen 001; Shijin Wang 001; Guoping Hu (COLING, 2016)

Discourse prosody and its application to speech synthesis. - Na Hu; Pengfei Shao; Yiqing Zu; Zuyan Wang; Wei Huang 002; Shijin Wang 001 (ISCSLP, 2016)

LSTM Neural Reordering Feature for Statistical Machine Translation. - Yiming Cui 001; Shijin Wang 001; Jianfeng Li (HLT-NAACL, 2016)

Attention-over-Attention Neural Networks for Reading Comprehension. - Yiming Cui 001; Zhipeng Chen 001; Si Wei; Shijin Wang 001; Ting Liu 001; Guoping Hu (ACL (1), 2017)

Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. - Ting Liu 001; Yiming Cui 001; Qingyu Yin; Weinan Zhang 003; Shijin Wang 001; Guoping Hu (ACL (1), 2017)

Chinese Grammatical Error Diagnosis using Statistical and Prior Knowledge driven Features with Probabilistic Ensemble Enhancement. - Ruiji Fu; Zhengqi Pei; Jiefu Gong; Wei Song 010; Dechuan Teng; Wanxiang Che; Shijin Wang 001; Guoping Hu; Ting Liu 001 (NLP-TEA@ACL, 2018)

Dataset for the First Evaluation on Chinese Machine Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Zhipeng Chen 001; Wentao Ma; Shijin Wang 001; Guoping Hu (LREC, 2018)

HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension. - Zhipeng Chen 001; Yiming Cui 001; Wentao Ma; Shijin Wang 001; Ting Liu 001; Guoping Hu (CoRR, 2018)

Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions. - Zhipeng Chen 001; Yiming Cui 001; Wentao Ma; Shijin Wang 001; Guoping Hu (AAAI, 2019)

Dementia Detection by Analyzing Spontaneous Mandarin Speech. - Zhaoci Liu; Zhiqiang Guo; Zhenhua Ling; Shijin Wang 001; Lingjing Jin; Yunxia Li (APSIPA, 2019)

Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. - Wei Huang 002; Enhong Chen; Qi Liu 003; Yuying Chen; Zai Huang; Yang Liu 278; Zhou Zhao 001; Dan Zhang; Shijin Wang 001 (CIKM, 2019)

CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension. - Xingyi Duan; Baoxin Wang; Ziyue Wang 002; Wentao Ma; Yiming Cui 001; Dayong Wu; Shijin Wang 001; Ting Liu 001; Tianxiang Huo; Zhen Hu; Heng Wang; Zhiyuan Liu 001 (CCL, 2019)

TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Wentao Ma; Yiming Cui 001; Nan Shao; Su He; Weinan Zhang 003; Ting Liu 001; Shijin Wang 001; Guoping Hu (CoNLL, 2019)

Cross-Lingual Machine Reading Comprehension. - Yiming Cui 001; Wanxiang Che; Ting Liu 001; Bing Qin 001; Shijin Wang 001; Guoping Hu (EMNLP/IJCNLP (1), 2019)

A Span-Extraction Dataset for Chinese Machine Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Wanxiang Che; Li Xiao; Zhipeng Chen 001; Wentao Ma; Shijin Wang 001; Guoping Hu (EMNLP/IJCNLP (1), 2019)

IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis. - Ziyue Wang 002; Baoxin Wang; Xingyi Duan; Dayong Wu; Shijin Wang 001; Guoping Hu; Ting Liu 001 (EMNLP/IJCNLP (3), 2019)

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)

Exploiting Cognitive Structure for Adaptive Learning. - Qi Liu 003; Shiwei Tong; Chuanren Liu; Hongke Zhao; Enhong Chen; Haiping Ma; Shijin Wang 001 (KDD, 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)

Pre-Training with Whole Word Masking for Chinese BERT. - Yiming Cui 001; Wanxiang Che; Ting Liu 001; Bing Qin 001; Ziqing Yang 001; Shijin Wang 001; Guoping Hu (CoRR, 2019)

Improving Machine Reading Comprehension via Adversarial Training. - Ziqing Yang 001; Yiming Cui 001; Wanxiang Che; Ting Liu 001; Shijin Wang 001; Guoping Hu (CoRR, 2019)

Contextual Recurrent Units for Cloze-style Reading Comprehension. - Yiming Cui 001; Wei-Nan Zhang 003; Wanxiang Che; Ting Liu 001; Zhipeng Chen 001; Shijin Wang 001; Guoping Hu (CoRR, 2019)

A Neural Semantic Parser for Math Problems Incorporating Multi-Sentence Information. - Ruiyong Sun; Yijia Zhao; Qi Zhang 001; Keyu Ding; Shijin Wang 001; Cui Wei (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

Discriminative Sentence Modeling for Story Ending Prediction. - Yiming Cui 001; Wanxiang Che; Wei-Nan Zhang 003; Ting Liu 001; Shijin Wang 001; Guoping Hu (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)

Conversational Word Embedding for Retrieval-Based Dialog System. - Wentao Ma; Yiming Cui 001; Ting Liu 001; Dong Wang; Shijin Wang 001; Guoping Hu (ACL, 2020)

TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. - Ziqing Yang 001; Yiming Cui 001; Zhipeng Chen 001; Wanxiang Che; Ting Liu 001; Shijin Wang 001; Guoping Hu (ACL (demo), 2020)

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Ziqing Yang 001; Zhipeng Chen 001; Wentao Ma; Wanxiang Che; Shijin Wang 001; Guoping Hu (COLING, 2020)

Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer's Disease Detection. - Zhiqiang Guo; Zhaoci Liu; Zhenhua Ling; Shijin Wang 001; Lingjing Jin; Yunxia Li (COLING, 2020)

CharBERT: Character-aware Pre-trained Language Model. - Wentao Ma; Yiming Cui 001; Chenglei Si; Ting Liu 001; Shijin Wang 001; Guoping Hu (COLING, 2020)

Revisiting Pre-Trained Models for Chinese Natural Language Processing. - Yiming Cui 001; Wanxiang Che; Ting Liu 001; Bing Qin 001; Shijin Wang 001; Guoping Hu (EMNLP (Findings), 2020)

Is Graph Structure Necessary for Multi-hop Question Answering? - Nan Shao; Yiming Cui 001; Ting Liu 001; Shijin Wang 001; Guoping Hu (EMNLP (1), 2020)

DCDT: A Digital Clock Drawing Test System for Cognitive Impairment Screening. - Feiyang Xu; Yue Ding; Zhenhua Ling; Xin Li 064; Yunxia Li; Shijin Wang 001 (ICDE, 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)

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)

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)

Is Graph Structure Necessary for Multi-hop Reasoning? - Nan Shao; Yiming Cui 001; Ting Liu 001; Shijin Wang 001; Guoping Hu (CoRR, 2020)

Unsupervised Explanation Generation for Machine Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Shijin Wang 001; Guoping Hu (CoRR, 2020)

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)

IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation. - Jiefu Gong; Xiao Hu; Wei Song 010; Ruiji Fu; Zhichao Sheng; Bo Zhu; Shijin Wang 001; Ting Liu 001 (ACL (demo), 2021)

Benchmarking Robustness of Machine Reading Comprehension Models. - Chenglei Si; Ziqing Yang 001; Yiming Cui 001; Wentao Ma; Ting Liu 001; Shijin Wang 001 (ACL/IJCNLP (Findings), 2021)

Dynamic Connected Networks for Chinese Spelling Check. - Baoxin Wang; Wanxiang Che; Dayong Wu; Shijin Wang 001; Guoping Hu; Ting Liu 001 (ACL/IJCNLP (Findings), 2021)

Various Legal Factors Extraction Based on Machine Reading Comprehension. - Beichen Wang; Ziyue Wang 002; Baoxin Wang; Dayong Wu; Zhigang Chen 003; Shijin Wang 001; Guoping Hu (CCIR, 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)

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)

Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. - Ziqing Yang 001; Yiming Cui 001; Chenglei Si; Wanxiang Che; Ting Liu 001; Shijin Wang 001; Guoping Hu (*SEM, 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)

Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering. - Nan Shao; Yiming Cui 001; Ting Liu 001; Shijin Wang 001; Guoping Hu (CoRR, 2021)

ExpMRC: Explainability Evaluation for Machine Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Wanxiang Che; Zhigang Chen 003; Shijin Wang 001 (CoRR, 2021)

Bilingual Alignment Pre-training for Zero-shot Cross-lingual Transfer. - Ziqing Yang 001; Wentao Ma; Yiming Cui 001; Jiani Ye; Wanxiang Che; Shijin Wang 001 (CoRR, 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)

Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. - Zheng Gong 001; Kun Zhou 002; Wayne Xin Zhao; Jing Sha; Shijin Wang 001; Ji-Rong Wen (ACL (1), 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)

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. - Wayne Xin Zhao; Kun Zhou 002; Zheng Gong 001; Beichen Zhang; Yuanhang Zhou; Jing Sha; Zhigang Chen 003; Shijin Wang 001; Cong Liu 006; Ji-Rong Wen (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)

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)

InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities. - Baoxin Wang; Qingye Meng; Ziyue Wang 002; Dayong Wu; Wanxiang Che; Shijin Wang 001; Zhigang Chen 003; Cong Liu 006 (CoRR, 2022)

Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training. - Ziqing Yang 001; Yiming Cui 001; Zhigang Chen 003; Shijin Wang 001 (CoRR, 2022)

Overview of CTC 2021: Chinese Text Correction for Native Speakers. - Honghong Zhao; Baoxin Wang; Dayong Wu; Wanxiang Che; Zhigang Chen 003; Shijin Wang 001 (CoRR, 2022)

LERT: A Linguistically-motivated Pre-trained Language Model. - Yiming Cui 001; Wanxiang Che; Shijin Wang 001; Ting Liu 001 (CoRR, 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)

Interactive Gated Decoder for Machine Reading Comprehension. - Yiming Cui 001; Wanxiang Che; Ziqing Yang 001; Ting Liu 001; Bing Qin 001; Shijin Wang 001; Guoping Hu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Teaching Machines to Read, Answer and Explain. - Yiming Cui 001; Ting Liu 001; Wanxiang Che; Zhigang Chen 003; Shijin Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Augmented and challenging datasets with multi-step reasoning and multi-span questions for Chinese judicial reading comprehension. - Qingye Meng; Ziyue Wang 002; Hang Chen; Xianzhen Luo; Baoxin Wang; Zhipeng Chen 001; Yiming Cui 001; Dayong Wu; Zhigang Chen 003; Shijin Wang 001 (AI Open, 2022)

BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. - Haoyang Bi; Enhong Chen; Weidong He; Han Wu 002; Weihao Zhao; Shijin Wang 001; Jinze Wu (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)

Gradient-based Intra-attention Pruning on Pre-trained Language Models. - Ziqing Yang 001; Yiming Cui 001; Xin Yao; Shijin Wang 001 (ACL (1), 2023)

Sentence Ordering with a Coherence Verifier. - Sainan Jia; Wei Song 010; Jiefu Gong; Shijin Wang 001; Ting Liu 001 (ACL (Findings), 2023)

IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning. - Zihang Xu; Ziqing Yang 001; Yiming Cui 001; Shijin Wang 001 (ACL (Findings), 2023)

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)

Chinese Metaphorical Relation Extraction: Dataset and Models. - Guihua Chen; Tiantian Wu; MiaoMiao Cheng; Xu Han; Jiefu Gong; Shijin Wang 001; Wei Song 010 (EMNLP (Findings), 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)

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)

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. - Xin Zhao 018; Kun Zhou 002; Beichen Zhang; Zheng Gong 001; Zhipeng Chen 001; Yuanhang Zhou; Ji-Rong Wen; Jing Sha; Shijin Wang 001; Cong Liu 006; Guoping Hu (KDD, 2023)

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. - Beichen Zhang; Kun Zhou 002; Xilin Wei; Xin Zhao 018; Jing Sha; Shijin Wang 001; Ji-Rong Wen (NeurIPS, 2023)

TiBERT: A Non-autoregressive Pre-trained Model for Text Editing. - Baoxin Wang; Ziyue Wang 002; Wanxiang Che; Dayong Wu; Rui Zhang; Bo Wang; Shijin Wang 001 (NLPCC (3), 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)

MiniRBT: A Two-stage Distilled Small Chinese Pre-trained Model. - Xin Yao; Ziqing Yang 001; Yiming Cui 001; Shijin Wang 001 (CoRR, 2023)

CSED: A Chinese Semantic Error Diagnosis Corpus. - Bo Sun; Baoxin Wang; Yixuan Wang; Wanxiang Che; Dayong Wu; Shijin Wang 001; Ting Liu 001 (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)

Generative Input: Towards Next-Generation Input Methods Paradigm. - Keyu Ding; Yongcan Wang; Zihang Xu; Zhenzhen Jia; Shijin Wang 001; Cong Liu 006; Enhong Chen (CoRR, 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)

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)

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)

Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach. - ZiHao Xiao; Jiefu Gong; Shijin Wang 001; Wei Song 010 (EMNLP, 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)

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)

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. - Kun Zhou 002; Beichen Zhang; Jiapeng Wang; Zhipeng Chen 001; Xin Zhao 018; Jing Sha; Zhichao Sheng; Shijin Wang 001; Ji-Rong Wen (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)

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)

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)

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)

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)

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)

SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model. - Dayong Wu; Jiaqi Li 004; Baoxin Wang; Honghong Zhao; Siyuan Xue; Yanjie Yang; Zhijun Chang; Rui Zhang; Li Qian; Bo Wang; Shijin Wang 001; Zhixiong Zhang; et al. (CoRR, 2024)

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models. - Yuqing Huang; Rongyang Zhang; Xuesong He; Xuyang Zhi; Hao Wang 076; Xin Li 064; Feiyang Xu; Deguang Liu; Huadong Liang; Yi Li; Jian Cui; Zimu Liu; et al. (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)

CursorCore: Assist Programming through Aligning Anything. - Hao Jiang 023; Qi Liu 003; Rui Li 093; Shengyu Ye; Shijin Wang 001 (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)

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)

Discriminative explicit instance selection for implicit discourse relation classification. - Wei Song 010; Hongfei Han; Xu Han; Miaomiao Cheng; Jiefu Gong; Shijin Wang 001; Ting Liu 001 (Frontiers Comput. Sci., 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)

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)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. - Runxuan Liu; Luobei Luobei; Jiaqi Li 004; Baoxin Wang; Ming Liu 007; Dayong Wu; Shijin Wang 001; Bing Qin 001 (ACL (1), 2025)

Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study. - Lili Zhao 002; Yang Wang 001; Qi Liu 003; Mengyun Wang; Wei Chen 156; Zhichao Sheng; Shijin Wang 001 (ICLR, 2025)

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. - Mingyue Cheng; Jiqian Yang; Tingyue Pan; Qi Liu 003; Zhi Li 057; Shijin Wang 001 (WWW (Companion Volume), 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)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. - Runxuan Liu; Bei Luo; Jiaqi Li 004; Baoxin Wang; Ming Liu 004; Dayong Wu; Shijin Wang 001; Bing Qin 001 (CoRR, 2025)

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM. - Jiayin Lan; Jiaqi Li 004; Baoxin Wang; Ming Liu 004; Dayong Wu; Shijin Wang 001; Bing Qin 001 (CoRR, 2025)

Enhanced Knowledge Tracing With Learnable Filter. - Fulan Qian; Yetong Hu; Guangyao Li; Jie Chen 025; Shijin Wang 001; Shu Zhao (IEEE Trans. Comput. Soc. Syst., 2025)

Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter. - Weixiang Zhao; Xingyu Sui; Xinyang Han; Yang Deng 002; Yulin Hu; Jiahe Guo; Libo Qin 001; Qianyun Du; Shijin Wang 001; Yanyan Zhao; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

am-ELO: A Stable Framework for Arena-based LLM Evaluation. - Zirui Liu 010; Jiatong Li 002; Yan Zhuang; Qi Liu 003; Shuanghong Shen; Jie Ouyang; Mingyue Cheng; Shijin Wang 001 (CoRR, 2025)

How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation. - Xin Lu; Yanyan Zhao; Si Wei; Shijin Wang 001; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

MMATH: A Multilingual Benchmark for Mathematical Reasoning. - Wenyang Luo; Wayne Xin Zhao; Jing Sha; Shijin Wang 001; Ji-Rong Wen (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)

From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization. - Xiaoyu Tao 001; Shilong Zhang; Mingyue Cheng; Daoyu Wang; Tingyue Pan; Bokai Pan; Changqing Zhang; Shijin Wang 001 (CoRR, 2025)