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En-Hong Chen
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- affiliation: University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- affiliation: University of Science and Technology of China, School of Data Science, Hefei, China
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2020 – today
- 2021
[j113]Lixiang Xu, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaofeng Wang, Yuanyan Tang:
Multiple graph kernel learning based on GMDH-type neural network. Inf. Fusion 66: 100-110 (2021)- [j112]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) - [j111]Defu Lian, Xing Xie, Enhong Chen:
Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 1919-1933 (2021) - [j110]Tong Xu, Peilun Zhou, Linkang Hu, Xiangnan He, Yao Hu, Enhong Chen:
Socializing the Videos: A Multimodal Approach for Social Relation Recognition. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 23:1-23:23 (2021) - [j109]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) - [j108]Zongda Wu, Guiling Li, Shigen Shen, Xinze Lian, Enhong Chen, Guandong Xu:
Constructing dummy query sequences to protect location privacy and query privacy in location-based services. World Wide Web 24(1): 25-49 (2021) - [c271]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. DASFAA (1) 2021: 3-19 - [c270]Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen:
Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. DASFAA (2) 2021: 168-185 - [c269]Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis. DASFAA (3) 2021: 461-477 - [c268]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c267]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021: 984-992 - [i64]Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. CoRR abs/2101.00238 (2021) - [i63]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) - [i62]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. CoRR abs/2101.06471 (2021) - [i61]Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis. CoRR abs/2101.11374 (2021) - [i60]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. CoRR abs/2102.03577 (2021) - [i59]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search. CoRR abs/2102.04040 (2021) - [i58]Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo:
Towards Variable-Length Textual Adversarial Attacks. CoRR abs/2104.08139 (2021) - [i57]Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. CoRR abs/2104.10907 (2021) - 2020
- [j107]Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma:
Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. 14(2): 273-290 (2020) - [j106]Enhong Chen, Yan Zhu, Changlu Lin, Kewei Lv:
Zero-pole cancellation for identity-based aggregators: a constant-size designated verifier-set signature. Frontiers Comput. Sci. 14(4): 144806 (2020) - [j105]Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. Frontiers Comput. Sci. 14(5): 145309 (2020) - [j104]Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Hua-Wei Shen, Tian-yang Lv, Xueqi Cheng, En-Hong Chen:
The Propagation Background in Social Networks: Simulating and Modeling. Int. J. Autom. Comput. 17(3): 353-363 (2020) - [j103]Amadu Fullah Kamara, Enhong Chen, Qi Liu, Zhen Pan:
Combining contextual neural networks for time series classification. Neurocomputing 384: 57-66 (2020) - [j102]Yang Liu, Zhi Li, Wei Huang, Tong Xu, En-Hong Chen:
Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation. J. Comput. Sci. Technol. 35(2): 281-294 (2020) - [j101]Zongda Wu, Shigen Shen, Xinze Lian, Xinning Su, Enhong Chen:
A dummy-based user privacy protection approach for text information retrieval. Knowl. Based Syst. 195: 105679 (2020) - [j100]Amadu Fullah Kamara, Enhong Chen, Qi Liu, Zhen Pan:
A hybrid neural network for predicting Days on Market a measure of liquidity in real estate industry. Knowl. Based Syst. 208: 106417 (2020) - [j99]Dongjie Li, Huaian Chen, Guoqiang Jin, Yi Jin, Changan Zhu, Enhong Chen:
A multiscale dilated residual network for image denoising. Multim. Tools Appl. 79(45-46): 34443-34458 (2020) - [j98]Lixiang Xu, Xiaofeng Wang, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaoyi Jiang, Bin Luo:
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. Pattern Recognit. 106: 107373 (2020) - [j97]Ying Li, Jizhou Huang, Miao Fan, Jinyi Lei, Haifeng Wang, Enhong Chen:
Personalized Query Auto-Completion for Large-Scale POI Search at Baidu Maps. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(5): 70:1-70:16 (2020) - [j96]Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen:
Product Supply Optimization for Crowdfunding Campaigns. IEEE Trans. Big Data 6(4): 741-756 (2020) - [j95]Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen:
Pop Music Generation: From Melody to Multi-style Arrangement. ACM Trans. Knowl. Discov. Data 14(5): 54:1-54:31 (2020) - [j94]Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu:
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. IEEE Trans. Knowl. Data Eng. 32(8): 1652-1665 (2020) - [j93]Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen:
Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks. IEEE Trans. Mob. Comput. 19(8): 1804-1817 (2020) - [j92]Peilun Zhou, Tong Xu, Zhizhuo Yin, Dong Liu, Enhong Chen, Guangyi Lv, Changliang Li:
Character-Oriented Video Summarization With Visual and Textual Cues. IEEE Trans. Multim. 22(10): 2684-2697 (2020) - [j91]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong:
An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment. ACM Trans. Inf. Syst. 38(2): 15:1-15:33 (2020) - [j90]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) - [j89]Biao Chang, Enhong Chen, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang:
Maximum a Posteriori Estimation for Information Source Detection. IEEE Trans. Syst. Man Cybern. Syst. 50(6): 2242-2256 (2020) - [j88]Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu:
A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services. IEEE Trans. Veh. Technol. 69(5): 5244-5254 (2020) - [j87]Zikai Yin, Tong Xu, Hengshu Zhu, Chen Zhu, Enhong Chen, Hui Xiong:
Matching of social events and users: a two-way selection perspective. World Wide Web 23(2): 853-871 (2020) - [c266]Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. AAAI 2020: 173-180 - [c265]Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen:
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. AAAI 2020: 1054-1061 - [c264]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 - [c263]Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. AAAI 2020: 6396-6403 - [c262]Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. AAAI 2020: 7839-7846 - [c261]Junliang Guo, Linli Xu, Enhong Chen:
Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. ACL 2020: 376-385 - [c260]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 - [c259]Binglei Wang, Tong Xu, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen:
Author Contributed Representation for Scholarly Network. APWeb/WAIM (1) 2020: 558-573 - [c258]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 - [c257]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 - [c256]Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu:
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. ICDM 2020: 1052-1057 - [c255]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 - [c254]Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen:
Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems. ICDM 2020: 1298-1303 - [c253]Shulan Ruan, Kun Zhang, Yijun Wang, Hanqing Tao, Weidong He, Guangyi Lv, Enhong Chen:
Context-Aware Generation-Based Net For Multi-Label Visual Emotion Recognition. ICME 2020: 1-6 - [c252]Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen:
Towards Explainable Conversational Recommendation. IJCAI 2020: 2994-3000 - [c251]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 - [c250]Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong:
Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network. KDD 2020: 774-782 - [c249]Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen:
Geography-Aware Sequential Location Recommendation. KDD 2020: 2009-2019 - [c248]Liyi Chen, Zhi Li, Yijun Wang, Tong Xu, Zhefeng Wang, Enhong Chen:
MMEA: Entity Alignment for Multi-modal Knowledge Graph. KSEM (1) 2020: 134-147 - [c247]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen, Cong Liang:
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking. ACM Multimedia 2020: 538-546 - [c246]Weidong He, Zhi Li, Dongcai Lu, Enhong Chen, Tong Xu, Baoxing Huai, Jing Yuan:
Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements. ACM Multimedia 2020: 2755-2764 - [c245]Bin Xia, Weikang Wang, Shangfei Wang, Enhong Chen:
Learning from Macro-expression: a Micro-expression Recognition Framework. ACM Multimedia 2020: 2936-2944 - [c244]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen:
Exploiting Self-Supervised and Semi-Supervised Learning for Facial Landmark Tracking with Unlabeled Data. ACM Multimedia 2020: 2991-2998 - [c243]Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen:
Incorporating BERT into Parallel Sequence Decoding with Adapters. NeurIPS 2020 - [c242]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. NeurIPS 2020 - [c241]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. NeurIPS 2020 - [c240]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 - [c239]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 - [c238]Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. WWW 2020: 695-705 - [c237]Defu Lian, Qi Liu, Enhong Chen:
Personalized Ranking with Importance Sampling. WWW 2020: 1093-1103 - [c236]Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized Employee Training Course Recommendation with Career Development Awareness. WWW 2020: 1648-1659 - [c235]Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Embedding for Company Competitive Analysis. WWW 2020: 2354-2364 - [e1]Enhong Chen, Grigoris Antoniou:
2020 IEEE International Conference on Knowledge Graph, ICKG 2020, Online, August 9-11, 2020. IEEE 2020, ISBN 978-1-7281-8156-1 [contents] - [i56]Song Cheng, Qi Liu, Enhong Chen:
Domain Adaption for Knowledge Tracing. CoRR abs/2001.04841 (2020) - [i55]Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-tech Companies. CoRR abs/2001.08606 (2020) - [i54]Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen:
A Dynamic and Cooperative Tracking System for Crowdfunding. CoRR abs/2002.00847 (2020) - [i53]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. CoRR abs/2002.10389 (2020) - [i52]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen:
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking. CoRR abs/2004.02108 (2020) - [i51]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) - [i50]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Neural Architecture Search with GBDT. CoRR abs/2007.04785 (2020) - [i49]Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen:
Incorporating BERT into Parallel Sequence Decoding with Adapters. CoRR abs/2010.06138 (2020) - [i48]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. CoRR abs/2011.00956 (2020) - [i47]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. CoRR abs/2012.06968 (2020) - [i46]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching. CoRR abs/2012.08920 (2020)
2010 – 2019
- 2019
- [j86]Xianwei Meng, Hao Fu, Guiquan Liu, Lei Zhang, Yang Yu, Weiyi Hu, Enhong Chen:
Multi-Feature Fusion: A Driver-Car Matching Model Based on Curve Comparison. IEEE Access 7: 83526-83535 (2019) - [j85]Lisheng Qiao, Hongke Zhao, Xiaohui Huang, Kai Li, Enhong Chen:
A Structure-Enriched Neural Network for network embedding. Expert Syst. Appl. 117: 300-311 (2019) - [j84]Kai Li, Guangyi Lv, Zhefeng Wang, Qi Liu, Enhong Chen, Lisheng Qiao:
Understanding the mechanism of social tie in the propagation process of social network with communication channel. Frontiers Comput. Sci. 13(6): 1296-1308 (2019) - [j83]Jiongwei Chen, Yi Jin, Muhammad Waqar Akram, Kuan Li, Enhong Chen:
Novel multi-convolutional neural network fusion approach for smile recognition. Multim. Tools Appl. 78(12): 15887-15907 (2019) - [j82]Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen:
Finding Theme Communities from Database Networks. Proc. VLDB Endow. 12(10): 1071-1084 (2019) - [j81]Jianqing Gao, Jun Du, Enhong Chen:
Mixed-Bandwidth Cross-Channel Speech Recognition via Joint Optimization of DNN-Based Bandwidth Expansion and Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 27(3): 559-571 (2019) - [j80]Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1564-1576 (2019) - [j79]Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen:
Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation. IEEE Trans. Knowl. Data Eng. 31(6): 1122-1135 (2019) - [j78]Xuesong Wang, Jian Liu, Yuhu Cheng, Aiping Liu, Enhong Chen:
Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data. IEEE Trans. Knowl. Data Eng. 31(12): 2292-2303 (2019) - [c234]Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge:
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. AAAI 2019: 4023-4030 - [c233]Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen:
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI 2019: 5773-5780 - [c232]Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie:
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. AAAI 2019: 7442-7449 - [c231]Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen:
Budgeted Policy Learning for Task-Oriented Dialogue Systems. ACL (1) 2019: 3742-3751 - [c230]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: 1051-1060 - [c229]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 - [c228]Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen:
Tracking Top-k Influential Users with Relative Errors. CIKM 2019: 1783-1792 - [c227]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 - [c226]Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang:
Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. DASFAA (1) 2019: 795-811 - [c225]Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu:
Aftershock Detection with Multi-scale Description Based Neural Network. ICDM 2019: 886-895 - [c224]Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen:
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. ICDM 2019: 1000-1005 - [c223]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: 1108-1113 - [c222]Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-Tech Companies. ICDM 2019: 1396-1401 - [c221]Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang:
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions. ICLR (Poster) 2019 - [c220]Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen:
Co-Attentive Multi-Task Learning for Explainable Recommendation. IJCAI 2019: 2137-2143 - [c219]Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong:
Trend-Aware Tensor Factorization for Job Skill Demand Analysis. IJCAI 2019: 3891-3897 - [c218]Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen:
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. IJCAI 2019: 3898-3904 - [c217]Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. IJCAI 2019: 4681-4688 - [c216]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. KDD 2019: 627-635 - [c215]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. KDD 2019: 1064-1072 - [c214]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 - [c213]Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen:
Efficient Pure Exploration in Adaptive Round model. NeurIPS 2019: 6605-6614 - [c212]Zhongxia Chen, Ruihua Song, Xing Xie, Jian-Yun Nie, Xiting Wang, Fuzheng Zhang, Enhong Chen:
Neural Response Generation with Relevant Emotions for Short Text Conversation. NLPCC (1) 2019: 117-129 - [c211]Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen:
Context-Aware Dual-Attention Network for Natural Language Inference. PAKDD (3) 2019: 185-198 - [c210]