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Enhong Chen

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction


Apr 22, 2021
Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen

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Towards Variable-Length Textual Adversarial Attacks


Apr 16, 2021
Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo

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LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search


Feb 08, 2021
Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu

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* Accepted to ICASSP 21 
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Drug Package Recommendation via Interaction-aware Graph Induction


Feb 06, 2021
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen

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Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis


Jan 27, 2021
Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen

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* 17 pages, 5 figures, DASFAA 2021 
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Learning the Implicit Semantic Representation on Graph-Structured Data


Jan 16, 2021
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen

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* 16 pages, DASFAA 2021 
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Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing


Jan 15, 2021
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang

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* Accepted by ICDM'2020 
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Adam revisited: a weighted past gradients perspective


Jan 01, 2021
Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen

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* Front. Comput. Sci. 14, 145309 (2020) 
 * Zhong, Hui, et al. "Adam revisited: a weighted past gradients perspective." Frontiers of Computer Science 14.5 (2020): 1-16 
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R$^2$-Net: Relation of Relation Learning Network for Sentence Semantic Matching


Dec 16, 2020
Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan

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* This paper has been accepted to/by AAAI2021 
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Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction


Dec 13, 2020
Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen

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* 9 pages, 6 figures, WSDM2021, accepted 
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Sampling-Decomposable Generative Adversarial Recommender


Nov 02, 2020
Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen

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* Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS2020) 
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Incorporating BERT into Parallel Sequence Decoding with Adapters


Oct 13, 2020
Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen

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* NeurIPS 2020 
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Neural Architecture Search with GBDT


Jul 09, 2020
Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu

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* Code is available at https://github.com/renqianluo/GBDT-NAS 
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ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction


Jul 07, 2020
Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee

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* 9 pages 
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Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking


Apr 11, 2020
Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen

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Semi-Supervised Neural Architecture Search


Mar 09, 2020
Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu

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* Code available at https://github.com/renqianluo/SemiNAS 
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Domain Adaption for Knowledge Tracing


Jan 14, 2020
Song Cheng, Qi Liu, Enhong Chen

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Deep Technology Tracing for High-tech Companies


Jan 02, 2020
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma

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* 6 pages, 7 figures 
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Variance Reduced Local SGD with Lower Communication Complexity


Dec 30, 2019
Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng

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* 25 pages, 6 figures. The paper presents a novel variance reduction algorithm for Local SGD 
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Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model


Dec 14, 2019
Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen

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Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation


Nov 21, 2019
Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu

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* AAAI 2020 
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Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring -- The Winning Solution of the 2017 International Aftershock Detection Contest


Nov 21, 2019
Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong

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* The Winning Solution of the 2017 International Aftershock Detection Contest (Earth Brain) 
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Long-term Joint Scheduling for Urban Traffic


Oct 27, 2019
Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

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* KDD Cup 2019 Special PaddlePaddle Award 
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Are Sampling Heuristics Necessary in Object Detectors?


Sep 26, 2019
Joya Chen, Dong Liu, Tong Xu, Enhong Chen

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* This short report needs a further refinement. We will submit a full paper with more elegant methods as soon as possible. Thank you! 
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Understanding and Improving One-shot Neural Architecture Optimization


Sep 24, 2019
Renqian Luo, Tao Qin, Enhong Chen

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* Code and model checkpoints are publicly available at https://github.com/renqianluo/NAO_pytorch 
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Interpretable Cognitive Diagnosis with Neural Network


Sep 04, 2019
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang

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STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control


Aug 28, 2019
Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong

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