Shuchang Zhou

According to our database, Shuchang Zhou authored at least 52 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Survey on Video Prediction: From Deterministic to Generative Approaches.

Ruibo Ming, Zhewei Huang, Zhuoxuan Ju, Jianming Hu, Lihui Peng, Shuchang Zhou

CoRR, 2024

Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution.

Zhewei Huang, Ailin Huang, Xiaotao Hu, Chen Hu, Jun Xu, Shuchang Zhou

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Text-driven Editing of 3D Scenes without Retraining.

Shuangkang Fang, Yufeng Wang, Yi Yang, Yi-Hsuan Tsai, Wenrui Ding, Ming-Hsuan Yang, Shuchang Zhou

CoRR, 2023

Proximal Policy Optimization Actual Combat: Manipulating Output Tokenizer Length.

Miao Fan, Chen Hu, Shuchang Zhou

CoRR, 2023

PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures.

Shuangkang Fang, Yufeng Wang, Yi Yang, Weixin Xu, Heng Wang, Wenrui Ding, Shuchang Zhou

CoRR, 2023

OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion.

Ruihang Miao, Weizhou Liu, Mingrui Chen, Zheng Gong, Weixin Xu, Chen Hu, Shuchang Zhou

CoRR, 2023

Occ²Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions.

Miao Fan, Mingrui Chen, Chen Hu, Shuchang Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference.

Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View.

Shengchao Zhou, Weizhou Liu, Chen Hu, Shuchang Zhou, Chao Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction.

Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, Shuchang Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning.

Yun-Hao Cao, Peiqin Sun, Shuchang Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation.

Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Collaborative Neural Rendering using Anime Character Sheets.

Zuzeng Lin, Ailin Huang, Zhewei Huang, Chen Hu, Shuchang Zhou

CoRR, 2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

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 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

CoRR, 2022

ML4CO-KIDA: Knowledge Inheritance in Data Aggregation.

Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou

CoRR, 2022

Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer.

Ailin Huang, Zhewei Huang, Shuchang Zhou

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer.

Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Real-Time Intermediate Flow Estimation for Video Frame Interpolation.

Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou

Proceedings of the Computer Vision - ECCV 2022, 2022

Synergistic Self-supervised and Quantization Learning.

Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

FQ-ViT: Fully Quantized Vision Transformer without Retraining.

Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou

CoRR, 2021

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment.

Weixin Xu, Zipeng Feng, Shuangkang Fang, Song Yuan, Yi Yang, Shuchang Zhou

CoRR, 2021

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Simon Bowly, 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 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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Multi-split Reversible Transformers Can Enhance Neural Machine Translation.

Yuekai Zhao, Shuchang Zhou, Zhihua Zhang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation.

Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou

CoRR, 2020

Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond.

Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang

CoRR, 2020

Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study.

Yuekai Zhao, Haoran Zhang, Shuchang Zhou, Zhihua Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Data-Efficient Semi-Supervised Learning by Reliable Edge Mining.

Peibin Chen, Tao Ma, Xu Qin, Weidi Xu, Shuchang Zhou

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Paint With Model-Based Deep Reinforcement Learning.

Zhewei Huang, Shuchang Zhou, Wen Heng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Harmonic Adversarial Attack Method.

Wen Heng, Shuchang Zhou, Tingting Jiang

CoRR, 2018

Stroke-based Character Recognition with Deep Reinforcement Learning.

Zhewei Huang, Wen Heng, Yuanzheng Tao, Shuchang Zhou

CoRR, 2018

Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks.

Guangzeng Xie, Yitan Wang, Shuchang Zhou, Zhihua Zhang

CoRR, 2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.

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

CoRR, 2018

2017

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks.

Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou

J. Comput. Sci. Technol., 2017

Learning to Run with Actor-Critic Ensemble.

Zhewei Huang, Shuchang Zhou, BoEr Zhuang, Xinyu Zhou

CoRR, 2017

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data.

Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He

CoRR, 2017

IQNN: Training Quantized Neural Networks with Iterative Optimizations.

Shuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

EAST: An Efficient and Accurate Scene Text Detector.

Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data.

Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He

Proceedings of the British Machine Vision Conference 2017, 2017

2016

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.

Shuchang Zhou, Zekun Ni, Xinyu Zhou, He Wen, Yuxin Wu, Yuheng Zou

CoRR, 2016

Scene Text Detection via Holistic, Multi-Channel Prediction.

Cong Yao, Xiang Bai, Nong Sang, Xinyu Zhou, Shuchang Zhou, Zhimin Cao

CoRR, 2016

Training Bit Fully Convolutional Network for Fast Semantic Segmentation.

He Wen, Shuchang Zhou, Zhe Liang, Yuxiang Zhang, Dieqiao Feng, Xinyu Zhou, Cong Yao

CoRR, 2016

Effective Quantization Methods for Recurrent Neural Networks.

Qinyao He, He Wen, Shuchang Zhou, Yuxin Wu, Cong Yao, Xinyu Zhou, Yuheng Zou

CoRR, 2016

2015

ICDAR 2015 Text Reading in the Wild Competition.

Xinyu Zhou, Shuchang Zhou, Cong Yao, Zhimin Cao, Qi Yin

CoRR, 2015

Exploiting Local Structures with the Kronecker Layer in Convolutional Networks.

Shuchang Zhou, Jia-Nan Wu, Yuxin Wu, Xinyu Zhou

CoRR, 2015

Multilinear Map Layer: Prediction Regularization by Structural Constraint.

Shuchang Zhou, Yuxin Wu

CoRR, 2015

Compression of Fully-Connected Layer in Neural Network by Kronecker Product.

Shuchang Zhou, Jia-Nan Wu

CoRR, 2015

Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4.

Cong Yao, Jia-Nan Wu, Xinyu Zhou, Chi Zhang, Shuchang Zhou, Zhimin Cao, Qi Yin

CoRR, 2015

2014

Group Orbit Optimization: A Unified Approach to Data Normalization.

Shuchang Zhou, Zhihua Zhang, Xiaobing Feng

CoRR, 2014

2013

A Scalable Approach to Column-Based Low-Rank Matrix Approximation.

Yifan Pi, Haoruo Peng, Shuchang Zhou, Zhihua Zhang

Proceedings of the IJCAI 2013, 2013

Deceptive Answer Prediction with User Preference Graph.

Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets.

Haoruo Peng, Zhengyu Wang, Edward Y. Chang, Shuchang Zhou, Zhihua Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2010

An Efficient Simulation Algorithm for Cache of Random Replacement Policy.

Shuchang Zhou

Proceedings of the Network and Parallel Computing, IFIP International Conference, 2010