Shuchang Zhou

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 38

Top Topics

Frame Interpolation

Character Recognition

Top Venues

Publications

Shuchang Zhou
A Survey on Human Action Recognition. CoRR (2023)
Ailin Huang, Zhewei Huang, Shuchang Zhou
Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. ACM Multimedia (2022)
Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. IJCAI (2022)
Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
Synergistic Self-supervised and Quantization Learning. CoRR (2022)
Ailin Huang, Zhewei Huang, Shuchang Zhou
Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. CoRR (2022)
Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou
ML4CO-KIDA: Knowledge Inheritance in Data Aggregation. CoRR (2022)
Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yangm, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR (2022)
Zuzeng Lin, Ailin Huang, Zhewei Huang, Chen Hu, Shuchang Zhou
Collaborative Neural Rendering using Anime Character Sheets. CoRR (2022)
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
Real-Time Intermediate Flow Estimation for Video Frame Interpolation. ECCV (14) (2022)
Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
Synergistic Self-supervised and Quantization Learning. ECCV (30) (2022)
Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation. CoRR (2022)
Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou
FQ-ViT: Fully Quantized Vision Transformer without Retraining. CoRR (2021)
Weixin Xu, Zipeng Feng, Shuangkang Fang, Song Yuan, Yi Yang, Shuchang Zhou
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment. CoRR (2021)
Yuekai Zhao, Shuchang Zhou, Zhihua Zhang
Multi-split Reversible Transformers Can Enhance Neural Machine Translation. EACL (2021)
Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) (2021)
Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang
Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. CoRR (2020)
Yuekai Zhao, Haoran Zhang, Shuchang Zhou, Zhihua Zhang
Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study. EMNLP (Findings) (2020)
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. CoRR (2020)
Peibin Chen, Tao Ma, Xu Qin, Weidi Xu, Shuchang Zhou
Data-Efficient Semi-Supervised Learning by Reliable Edge Mining. CVPR (2020)
Mingxuan Li, Jingyuan Wang, Yufan Wu, Shuchang Zhou
Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method. CoRR (2020)
Zhewei Huang, Wen Heng, Shuchang Zhou
Learning to Paint with Model-based Deep Reinforcement Learning. CoRR (2019)
Zhewei Huang, Shuchang Zhou, Wen Heng
Learning to Paint With Model-Based Deep Reinforcement Learning. ICCV (2019)
Guangzeng Xie, Yitan Wang, Shuchang Zhou, Zhihua Zhang
Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks. CoRR (2018)
Zhewei Huang, Wen Heng, Yuanzheng Tao, Shuchang Zhou
Stroke-based Character Recognition with Deep Reinforcement Learning. CoRR (2018)
Wen Heng, Shuchang Zhou, Tingting Jiang
Harmonic Adversarial Attack Method. CoRR (2018)
Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. CoRR (2018)
Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks. CoRR (2017)
Shuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou
IQNN: Training Quantized Neural Networks with Iterative Optimizations. ICANN (2) (2017)
Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He
GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data. BMVC (2017)
Zhewei Huang, Shuchang Zhou, BoEr Zhuang, Xinyu Zhou
Learning to Run with Actor-Critic Ensemble. CoRR (2017)
Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks. J. Comput. Sci. Technol. 32 (4) (2017)
Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. CoRR (2017)
Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang
EAST: An Efficient and Accurate Scene Text Detector. CVPR (2017)
Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang
EAST: An Efficient and Accurate Scene Text Detector. CoRR (2017)
Cong Yao, Xiang Bai, Nong Sang, Xinyu Zhou, Shuchang Zhou, Zhimin Cao
Scene Text Detection via Holistic, Multi-Channel Prediction. CoRR (2016)
Qinyao He, He Wen, Shuchang Zhou, Yuxin Wu, Cong Yao, Xinyu Zhou, Yuheng Zou
Effective Quantization Methods for Recurrent Neural Networks. CoRR (2016)
Shuchang Zhou, Zekun Ni, Xinyu Zhou, He Wen, Yuxin Wu, Yuheng Zou
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients. CoRR (2016)
He Wen, Shuchang Zhou, Zhe Liang, Yuxiang Zhang, Dieqiao Feng, Xinyu Zhou, Cong Yao
Training Bit Fully Convolutional Network for Fast Semantic Segmentation. CoRR (2016)
Shuchang Zhou, Jia-Nan Wu, Yuxin Wu, Xinyu Zhou
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks. CoRR (2015)
Shuchang Zhou, Yuxin Wu
Multilinear Map Layer: Prediction Regularization by Structural Constraint. CoRR (2015)
Xinyu Zhou, Shuchang Zhou, Cong Yao, Zhimin Cao, Qi Yin
ICDAR 2015 Text Reading in the Wild Competition. CoRR (2015)
Cong Yao, Jia-Nan Wu, Xinyu Zhou, Chi Zhang, Shuchang Zhou, Zhimin Cao, Qi Yin
Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4. CoRR (2015)
Shuchang Zhou, Jia-Nan Wu
Compression of Fully-Connected Layer in Neural Network by Kronecker Product. CoRR (2015)
Shuchang Zhou, Zhihua Zhang, Xiaobing Feng
Group Orbit Optimization: A Unified Approach to Data Normalization. CoRR (2014)
Yifan Pi, Haoruo Peng, Shuchang Zhou, Zhihua Zhang
A Scalable Approach to Column-Based Low-Rank Matrix Approximation. IJCAI (2013)
Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai
Deceptive Answer Prediction with User Preference Graph. ACL (1) (2013)
Haoruo Peng, Zhengyu Wang, Edward Y. Chang, Shuchang Zhou, Zhihua Zhang
Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets. ECML/PKDD (1) (2012)
Shuchang Zhou
An Efficient Simulation Algorithm for Cache of Random Replacement Policy. NPC (2010)