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Jiang Bian

A Conversational Agent System for Dietary Supplements Use


Apr 04, 2021
Esha Singh, Anu Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang

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Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond


Mar 19, 2021
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou

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Model Complexity of Deep Learning: A Survey


Mar 08, 2021
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian

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REST: Relational Event-driven Stock Trend Forecasting


Feb 19, 2021
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu

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Applications of artificial intelligence in drug development using real-world data


Feb 02, 2021
Zhaoyi Chen, Xiong Liu, William Hogan, Elizabeth Shenkman, Jiang Bian

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* Drug Discovery Today 2020 
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Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations


Dec 24, 2020
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu

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* accepted as an oral paper in AAMAS 2021 
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ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting


Dec 11, 2020
Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian

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COSEA: Convolutional Code Search with Layer-wise Attention


Oct 19, 2020
Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu

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MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler


Oct 17, 2020
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

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* Accepted by NeurIPS 2020 
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Qlib: An AI-oriented Quantitative Investment Platform


Sep 22, 2020
Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, Tie-Yan Liu

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Learn to Use Future Information in Simultaneous Translation


Jul 10, 2020
Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu

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Learning to Teach with Deep Interactions


Jul 09, 2020
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

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MC-BERT: Efficient Language Pre-Training via a Meta Controller


Jun 16, 2020
Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu

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Measuring Model Complexity of Neural Networks with Curve Activation Functions


Jun 16, 2020
Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei

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* KDD 2020 
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Invertible Image Rescaling


May 12, 2020
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu

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Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets


Apr 02, 2020
Yunpeng Zhao, Mattia Prosperi, Tianchen Lyu, Yi Guo, Jiang Bian

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Fully Parameterized Quantile Function for Distributional Reinforcement Learning


Nov 16, 2019
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tieyan Liu

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Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods


Oct 01, 2019
Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu

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* 6 pages, 1 figure, 3 tables, accepted by AMIA 2019 
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Self-paced Ensemble for Highly Imbalanced Massive Data Classification


Sep 10, 2019
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu

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LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm


Aug 25, 2019
Ziyu Liu, Guolin Ke, Jiang Bian, Tieyan Liu

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* 10 pages, 2 figures 
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Light Multi-segment Activation for Model Compression


Jul 16, 2019
Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu

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Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States


Jul 06, 2019
Hansi Zhang, Christopher Wheldon, Adam G. Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia Prosperi, Yi Guo, Jiang Bian

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* 6 figures, 5 tables, Journal of the American Medical Informatics Association, Under review 
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Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter


May 22, 2019
Francois Modave, Yunpeng Zhao, Janice Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia Prosperi, Jiang Bian

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* 5 pages, 10 figures, The 17th World Congress of Medical and Health Informatics 
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Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome


Apr 28, 2019
Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He

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Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction


Apr 16, 2019
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian

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A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network


Mar 02, 2019
Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu

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* Accepted by AAMAS 2019 
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