Shijin Wang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 114

Top Venues

Publications

Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. WWW (2024)
Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. CoRR (2024)
Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. CoRR (2024)
Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen
Survey of Computerized Adaptive Testing: A Machine Learning Perspective. CoRR (2024)
Yu Su, Shuanghong Shen, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang
Global and local neural cognitive modeling for student performance prediction. Expert Syst. Appl. 237 (Part C) (2024)
Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions. CoRR (2024)
Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. AAAI (2024)
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Unified Uncertainty Estimation for Cognitive Diagnosis Models. WWW (2024)
Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang
Graph-based Student Knowledge Profile for Online Intelligent Education. SDM (2024)
Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang
Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective. KDD (2024)
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Unified Uncertainty Estimation for Cognitive Diagnosis Models. CoRR (2024)
Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. CoRR (2024)
Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang
PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. CIKM (2023)
Baoxin Wang, Ziyue Wang, Wanxiang Che, Dayong Wu, Rui Zhang, Bo Wang, Shijin Wang
TiBERT: A Non-autoregressive Pre-trained Model for Text Editing. NLPCC (3) (2023)
Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Trans. Inf. Syst. 41 (4) (2023)
Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. CoRR (2023)
Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. KDD (2023)
Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. AAAI (2023)
Beichen Zhang, Kun Zhou, Xilin Wei, Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. NeurIPS (2023)
Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. AAAI (2023)
Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang
Learning Behavior-oriented Knowledge Tracing. KDD (2023)
Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang
Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective. IEEE Trans. Learn. Technol. 16 (3) (2023)
Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective. CoRR (2023)
Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang
Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. SIGIR (2023)
Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang
Exploiting Non-Interactive Exercises in Cognitive Diagnosis. IJCAI (2023)
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su
NeuralCD: A General Framework for Cognitive Diagnosis. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang
HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. KDD (2022)
Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang
Teaching Machines to Read, Answer and Explain. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Honghong Zhao, Baoxin Wang, Dayong Wu, Wanxiang Che, Zhigang Chen, Shijin Wang
Overview of CTC 2021: Chinese Text Correction for Native Speakers. CoRR (2022)
Baoxin Wang, Qingye Meng, Ziyue Wang, Dayong Wu, Wanxiang Che, Shijin Wang, Zhigang Chen, Cong Liu
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities. CoRR (2022)
Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. SIGIR (2022)
Xiaonan Zeng, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang
Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. ICTAI (2022)
Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. KDD (2022)
Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. CoRR (2022)
Ziqing Yang, Yiming Cui, Zhigang Chen, Shijin Wang
Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training. CoRR (2022)
Qingye Meng, Ziyue Wang, Hang Chen, Xianzhen Luo, Baoxin Wang, Zhipeng Chen, Yiming Cui, Dayong Wu, Zhigang Chen, Shijin Wang
Augmented and challenging datasets with multi-step reasoning and multi-span questions for Chinese judicial reading comprehension. AI Open 3 (2022)
Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. SIGIR (2022)
Yiming Cui, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
Interactive Gated Decoder for Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (4) (2022)
Ziqing Yang, Yiming Cui, Xin Yao, Shijin Wang
Gradient-based Intra-attention Pruning on Pre-trained Language Models. CoRR (2022)
Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie
Graph-based cognitive diagnosis for intelligent tutoring systems. Knowl. Based Syst. 253 (2022)
Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. CoRR (2021)
Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang
ExpMRC: Explainability Evaluation for Machine Reading Comprehension. CoRR (2021)
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. CoRR (2021)
Beichen Wang, Ziyue Wang, Baoxin Wang, Dayong Wu, Zhigang Chen, Shijin Wang, Guoping Hu
Various Legal Factors Extraction Based on Machine Reading Comprehension. CCIR (2021)
Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. SIGIR (2021)
Baoxin Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu
Dynamic Connected Networks for Chinese Spelling Check. ACL/IJCNLP (Findings) (2021)
Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang
STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. ICDM (2021)
Ziqing Yang, Wentao Ma, Yiming Cui, Jiani Ye, Wanxiang Che, Shijin Wang
Bilingual Alignment Pre-training for Zero-shot Cross-lingual Transfer. CoRR (2021)
Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. AAAI (2021)
Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang
Federated Deep Knowledge Tracing. WSDM (2021)
Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering. CoRR (2021)
Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang
Learning Process-consistent Knowledge Tracing. KDD (2021)
Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang
Benchmarking Robustness of Machine Reading Comprehension Models. ACL/IJCNLP (Findings) (2021)
Jiefu Gong, Xiao Hu, Wei Song, Ruiji Fu, Zhichao Sheng, Bo Zhu, Shijin Wang, Ting Liu
IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation. ACL (demo) (2021)
Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. ICDM (2021)
Yu Su, Zeyu Cheng, Pengfei Luo, Jinze Wu, Lei Zhang, Qi Liu, Shijin Wang
Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing. Knowl. Based Syst. 218 (2021)
Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. *SEM (2021)
Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. CoRR (2020)
Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang
Structure-based Knowledge Tracing: An Influence Propagation View. ICDM (2020)
Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu
Conversational Word Embedding for Retrieval-Based Dialog System. CoRR (2020)
Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
Unsupervised Explanation Generation for Machine Reading Comprehension. CoRR (2020)
Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
Is Graph Structure Necessary for Multi-hop Reasoning? CoRR (2020)
Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. CoRR (2020)
Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu
CharBERT: Character-aware Pre-trained Language Model. CoRR (2020)
Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu
Discriminative Sentence Modeling for Story Ending Prediction. AAAI (2020)
Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
Is Graph Structure Necessary for Multi-hop Question Answering? EMNLP (1) (2020)
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
Revisiting Pre-Trained Models for Chinese Natural Language Processing. EMNLP (Findings) (2020)
Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. COLING (2020)
Feiyang Xu, Yue Ding, Zhenhua Ling, Xin Li, Yunxia Li, Shijin Wang
DCDT: A Digital Clock Drawing Test System for Cognitive Impairment Screening. ICDE (2020)
Zhiqiang Guo, Zhaoci Liu, Zhenhua Ling, Shijin Wang, Lingjing Jin, Yunxia Li
Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer's Disease Detection. COLING (2020)
Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang
Benchmarking Robustness of Machine Reading Comprehension Models. CoRR (2020)
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. ICDM (2020)
Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu
Conversational Word Embedding for Retrieval-Based Dialog System. ACL (2020)
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang
Neural Cognitive Diagnosis for Intelligent Education Systems. AAAI (2020)
Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. ACL (demo) (2020)
Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. SIGIR (2020)
Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu
CharBERT: Character-aware Pre-trained Language Model. COLING (2020)
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
Revisiting Pre-Trained Models for Chinese Natural Language Processing. CoRR (2020)
Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su
QuesNet: A Unified Representation for Heterogeneous Test Questions. CoRR (2019)
Ziqing Yang, Yiming Cui, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
Improving Machine Reading Comprehension via Adversarial Training. CoRR (2019)
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
Cross-Lingual Machine Reading Comprehension. EMNLP/IJCNLP (1) (2019)
Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions. AAAI (2019)
Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su
QuesNet: A Unified Representation for Heterogeneous Test Questions. KDD (2019)
Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis. EMNLP/IJCNLP (3) (2019)
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
Cross-Lingual Machine Reading Comprehension. CoRR (2019)
Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu
Discriminative Sentence Modeling for Story Ending Prediction. CoRR (2019)
Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension. CoRR (2019)
Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension. CCL (2019)
Zhaoci Liu, Zhiqiang Guo, Zhenhua Ling, Shijin Wang, Lingjing Jin, Yunxia Li
Dementia Detection by Analyzing Spontaneous Mandarin Speech. APSIPA (2019)
Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu
A Span-Extraction Dataset for Chinese Machine Reading Comprehension. EMNLP/IJCNLP (1) (2019)
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
Exploiting Cognitive Structure for Adaptive Learning. KDD (2019)
Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. CIKM (2019)
Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu
Contextual Recurrent Units for Cloze-style Reading Comprehension. CoRR (2019)
Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots. CoRR (2019)
Ruiyong Sun, Yijia Zhao, Qi Zhang, Keyu Ding, Shijin Wang, Cui Wei
A Neural Semantic Parser for Math Problems Incorporating Multi-Sentence Information. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18 (4) (2019)
Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. CoNLL (2019)
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu
Pre-Training with Whole Word Masking for Chinese BERT. CoRR (2019)
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
Exploiting Cognitive Structure for Adaptive Learning. CoRR (2019)
Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang
Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. ICDM (2019)

Shijin Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Shijin Wang