Publication Dynamic of Stochastic Gradient Descent with State-dependent Noise Qi Meng, Shiqi Gong, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu arXiv: Learning | May 2021
Publication Rethinking Positional Encoding in Language Pre-training Guolin Ke, Di He, Tie-Yan Liu 2021 International Conference on Learning Representations | May 2021
Publication GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang 2021 International Conference on Machine Learning | May 2021
Publication Taking Notes on the Fly Helps Language Pre-Training Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu 2021 International Conference on Learning Representations | May 2021
Publication Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu Proceedings of the ACM Conference on Human Factors in Computing Systems | May 2021
Publication Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu ICLR 2021 | May 2021
Publication Deep Implicit Moving Least-Squares Functions for 3D Reconstruction Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu CVPR 2021 | May 2021
Publication Characterizing Ethereum’s Mining Power Decentralization at a Deeper Level Liyi Zeng, Yang Chen, Shuo Chen, Xian Zhang, Zhongxin Guo, Wei Xu, Thomas Moscibroda IEEE Conference on Computer Communications (INFOCOM) | May 2021
Publication LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei April 2021 Project
Publication REST: Relational Event-driven Stock Trend Forecasting Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu The Web Conference | April 2021 Project
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Research