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2020 – today
- 2023
[j10]Hao Wang
, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2430-2444 (2023)- [j9]Suojuan Zhang, Song Huang, Xiaohan Yu, Enhong Chen, Fei Wang, Zhenya Huang:
A generalized multi-skill aggregation method for cognitive diagnosis. World Wide Web (WWW) 26(2): 585-614 (2023) - [i17]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 abs/2301.07558 (2023) - [i16]Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu:
A Novel Approach for Auto-Formulation of Optimization Problems. CoRR abs/2302.04643 (2023) - [i15]Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu:
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. CoRR abs/2302.05717 (2023) - 2022
- [j8]Chang-Yang Wu, Xin Lin, Zhenya Huang, Yu Yin, Jia-Yu Liu, Qi Liu, Gang Zhou:
Clause-level Relationship-aware Math Word Problems Solver. Int. J. Autom. Comput. 19(5): 425-438 (2022) - [j7]Jian-Fu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, En-Hong Chen:
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. J. Comput. Sci. Technol. 37(6): 1464-1477 (2022) - [j6]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: 109547 (2022) - [j5]Leyan Deng, Defu Lian, Zhenya Huang, Enhong Chen:
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2416-2428 (2022) - [j4]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [c49]Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma:
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. AAAI 2022: 4734-4742 - [c48]Zihang Tang, Hao Wang, Weibo Gao, Zhenya Huang, Qi Liu, Jun Yu:
Dependency and Association Enhanced Finding Similar Exercises in Online Education System. CCIS 2022: 31-39 - [c47]Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen:
Dynamic Clustering Federated Learning for Non-IID Data. CICAI (3) 2022: 119-131 - [c46]Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen:
A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. ICDM 2022: 269-278 - [c45]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: 904-913 - [c44]Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang:
Incremental Cognitive Diagnosis for Intelligent Education. KDD 2022: 1760-1770 - [c43]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: 416-426 - [c42]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: 427-437 - [c41]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. SIGIR 2022: 1566-1576 - [c40]Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su:
AdaptKT: A Domain Adaptable Method for Knowledge Tracing. WSDM 2022: 123-131 - [i14]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. CoRR abs/2205.08772 (2022) - [i13]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen:
Model Inversion Attacks against Graph Neural Networks. CoRR abs/2209.07807 (2022) - 2021
- [j3]Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction. IEEE Trans. Knowl. Data Eng. 33(1): 100-115 (2021) - [j2]Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3068-3079 (2021) - [c39]Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao:
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. AAAI 2021: 4072-4080 - [c38]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: 4232-4240 - [c37]Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang:
Stable and Diverse: A Unified Approach for Computerized Adaptive Testing. CCIS 2021: 61-65 - [c36]Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su:
Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System. ICBK 2021: 426-433 - [c35]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: 210-219 - [c34]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: 220-229 - [c33]Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu:
Guided Attention Network for Concept Extraction. IJCAI 2021: 1449-1455 - [c32]Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen:
Preference-Adaptive Meta-Learning for Cold-Start Recommendation. IJCAI 2021: 1607-1614 - [c31]Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang:
Item Response Ranking for Cognitive Diagnosis. IJCAI 2021: 1750-1756 - [c30]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. IJCAI 2021: 3749-3755 - [c29]Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong:
DisenQNet: Disentangled Representation Learning for Educational Questions. KDD 2021: 696-704 - [c28]Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang:
Learning Process-consistent Knowledge Tracing. KDD 2021: 1452-1460 - [c27]Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma:
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. KDD 2021: 2420-2428 - [c26]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: 501-510 - [c25]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c24]Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Hierarchical Personalized Federated Learning for User Modeling. WWW 2021: 957-968 - [i12]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 abs/2101.05986 (2021) - [i11]Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng:
A Survey of Knowledge Tracing. CoRR abs/2105.15106 (2021) - [i10]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. CoRR abs/2106.02820 (2021) - 2020
- [j1]Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu:
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. ACM Trans. Inf. Syst. 38(2): 19:1-19:33 (2020) - [c23]Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. AAAI 2020: 173-180 - [c22]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: 6153-6161 - [c21]Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen:
Predicting Human Mobility with Self-attention and Feature Interaction. APWeb/WAIM (2) 2020: 117-131 - [c20]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: 42-51 - [c19]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: 541-550 - [c18]Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui:
Technical Phrase Extraction for Patent Mining: A Multi-level Approach. ICDM 2020: 1142-1147 - [c17]Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD 2020: 731-752 - [c16]Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang:
Fine-Grained Similarity Measurement between Educational Videos and Exercises. ACM Multimedia 2020: 331-339 - [c15]Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen:
Neural Mathematical Solver with Enhanced Formula Structure. SIGIR 2020: 1729-1732 - [c14]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: 1857-1860 - [i9]Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. CoRR abs/2007.03196 (2020)
2010 – 2019
- 2019
- [c13]Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. AAAI 2019: 1052-1060 - [c12]Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu:
Exploring Multi-Objective Exercise Recommendations in Online Education Systems. CIKM 2019: 1261-1270 - [c11]Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu:
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. CIKM 2019: 2397-2400 - [c10]Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su:
QuesNet: A Unified Representation for Heterogeneous Test Questions. KDD 2019: 1328-1336 - [i8]Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su:
QuesNet: A Unified Representation for Heterogeneous Test Questions. CoRR abs/1905.10949 (2019) - [i7]Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. CoRR abs/1905.10954 (2019) - [i6]Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems. CoRR abs/1906.00156 (2019) - [i5]Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction. CoRR abs/1906.05658 (2019) - [i4]Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. CoRR abs/1906.11081 (2019) - [i3]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang:
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems. CoRR abs/1908.08733 (2019) - [i2]Yunan Zhang, Xiang Cheng, Yufeng Zhang, Zihan Wang, Zhengqi Fang, Xiaoyan Wang, Zhenya Huang, Chengxiang Zhai:
Learning to Order Sub-questions for Complex Question Answering. CoRR abs/1911.04065 (2019) - 2018
- [c9]Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang:
Confidence-Aware Matrix Factorization for Recommender Systems. AAAI 2018: 434-442 - [c8]Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu:
Exercise-Enhanced Sequential Modeling for Student Performance Prediction. AAAI 2018: 2435-2443 - [c7]Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu:
MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. DASFAA (2) 2018: 318-335 - [c6]Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen:
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. KDD 2018: 1734-1743 - [c5]Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu:
Finding Similar Exercises in Online Education Systems. KDD 2018: 1821-1830 - [c4]Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. KDD 2018: 2643-2652 - [i1]Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen:
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. CoRR abs/1808.01075 (2018) - 2017
- [c3]Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu:
Question Difficulty Prediction for READING Problems in Standard Tests. AAAI 2017: 1352-1359 - [c2]Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Run-ze Wu, Yu Su, Guoping Hu:
Tracking Knowledge Proficiency of Students with Educational Priors. CIKM 2017: 989-998 - 2016
- [c1]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang:
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. AAAI 2016: 279-286
Coauthor Index
Enhong Chen
aka: En-Hong Chen
aka: En-Hong Chen
[j10] [j9] [i17] [i16] [j7] [j6] [j5] [j4] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i14] [i13] [j3] [j2] [c38] [c37] [c36] [c35] [c34] [c32] [c30] [c29] [c28] [c27] [c25] [c24] [i12] [i11] [i10] [j1] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c15] [c14] [i9] [c12] [c11] [c10] [i8] [i7] [i6] [i5] [i3] [c9] [c8] [c7] [c6] [c5] [c4] [i1] [c3] [c2] [c1]
[j10] [i16] [i15] [j8] [j7] [j4] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i14] [i13] [j3] [j2] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i12] [i11] [i10] [j1] [c22] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i9] [c13] [c12] [c11] [c10] [i8] [i7] [i6] [i5] [i4] [i3] [c9] [c8] [c7] [c6] [c5] [c4] [i1] [c3] [c2] [c1]
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