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Huan Wang

College of Informatics, Huazhong Agricultural University

Semi-supervised Domain Adaptive Structure Learning


Dec 12, 2021
Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu

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Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization


Oct 26, 2021
Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong

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Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE


Oct 19, 2021
Devansh Arpit, Aadyot, Bhatnagar, Huan Wang, Caiming Xiong

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Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles


Oct 19, 2021
Bram Wallace, Devansh Arpit, Huan Wang, Caiming Xiong

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Continuous Conditional Random Field Convolution for Point Cloud Segmentation


Oct 12, 2021
Fei Yang, Franck Davoine, Huan Wang, Zhong Jin

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* Pattern Recognition, Volume 122, February 2022 
 * 20 pages + 8 pages (supplemental material) 
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Multi-Tensor Network Representation for High-Order Tensor Completion


Sep 21, 2021
Chang Nie, Huan Wang, Zhihui Lai

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Merlion: A Machine Learning Library for Time Series


Sep 20, 2021
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

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* 22 pages, 1 figure, 14 tables 
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Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization


Jun 22, 2021
Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu

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* 40 pages, 27 figures 
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Understanding the Under-Coverage Bias in Uncertainty Estimation


Jun 10, 2021
Yu Bai, Song Mei, Huan Wang, Caiming Xiong

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Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning


Jun 09, 2021
Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai


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Evaluating State-of-the-Art Classification Models Against Bayes Optimality


Jun 07, 2021
Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher

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Dynamical Isometry: The Missing Ingredient for Neural Network Pruning


May 12, 2021
Huan Wang, Can Qin, Yue Bai, Yun Fu

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* 8 pages, 2 figures, 7 tables 
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Emerging Paradigms of Neural Network Pruning


Mar 11, 2021
Huan Wang, Can Qin, Yulun Zhang, Yun Fu

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Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games


Feb 23, 2021
Yu Bai, Chi Jin, Huan Wang, Caiming Xiong

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Localized Calibration: Metrics and Recalibration


Feb 22, 2021
Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon

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Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification


Feb 15, 2021
Yu Bai, Song Mei, Huan Wang, Caiming Xiong

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Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss


Feb 03, 2021
Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang

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* Accepted by Neurocomputing 
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Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization


Dec 28, 2020
Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof Geras

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* The last two authors contributed equally 
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Neural Pruning via Growing Regularization


Dec 16, 2020
Huan Wang, Can Qin, Yulun Zhang, Yun Fu

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An Event Correlation Filtering Method for Fake News Detection


Dec 13, 2020
Hao Li, Huan Wang, Guanghua Liu

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* 24 pages, 5 figures, 3 tables 
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Multi-head Knowledge Distillation for Model Compression


Dec 05, 2020
Huan Wang, Suhas Lohit, Michael Jones, Yun Fu

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* Copyright: 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 
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Knowledge Distillation Thrives on Data Augmentation


Dec 05, 2020
Huan Wang, Suhas Lohit, Michael Jones, Yun Fu

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* Code will be updated soon 
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Unsupervised Paraphrase Generation via Dynamic Blocking


Oct 24, 2020
Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong

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* 10 pages 
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How Important is the Train-Validation Split in Meta-Learning?


Oct 12, 2020
Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham Kakade, Huan Wang, Caiming Xiong

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Towards Understanding Hierarchical Learning: Benefits of Neural Representations


Jun 24, 2020
Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher


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Collaborative Distillation for Ultra-Resolution Universal Style Transfer


Mar 24, 2020
Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang

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* Accepted by CVPR 2020, higher-resolution images than the camera-ready version 
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MNN: A Universal and Efficient Inference Engine


Feb 27, 2020
Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lv, Zhihua Wu

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* Accepted by MLSys 2020 
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Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width


Feb 24, 2020
Yu Bai, Ben Krause, Huan Wang, Caiming Xiong, Richard Socher

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