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Shuai Zheng

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Node-oriented Spectral Filtering for Graph Neural Networks

Dec 07, 2022
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Youru Li, Yao Zhao

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Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition

Jul 04, 2022
Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang

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Removing Batch Normalization Boosts Adversarial Training

Jul 04, 2022
Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

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Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems

Jun 15, 2022
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudre, Dilek Hakkani-Tur, Wael Hamza, Jonathan Hueser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gokhan Tur, Prem Natarajan

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Multi-modal Graph Learning for Disease Prediction

Mar 11, 2022
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yuchen Yang, Yao Zhao

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ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation

Sep 24, 2021
Johnathan Xie, Shuai Zheng

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CETransformer: Casual Effect Estimation via Transformer Based Representation Learning

Jul 19, 2021
Zhenyu Guo, Shuai Zheng, Zhizhe Liu, Kun Yan, Zhenfeng Zhu

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Compressed Communication for Distributed Training: Adaptive Methods and System

May 17, 2021
Yuchen Zhong, Cong Xie, Shuai Zheng, Haibin Lin

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Deep Time Series Models for Scarce Data

Mar 16, 2021
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Shuai Zheng

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