Shuchang Zhou - RankMe

76 papers A* 12A 4C 1Journal 51Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Progressive Volume Distillation with Active Learning for Efficient NeRF Architecture Conversion. Int. J. Comput. Vis. Shuangkang Fang, Yufeng Wang, Yi Yang, Weixin Xu, Heng Wang, Wenrui Ding, Shuchang Zhou
2025	J	`jnl`	A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches. Trans. Mach. Learn. Res. Ruibo Ming, Zhewei Huang, Jingwei Wu, Zhuoxuan Ju, Daxin Jiang, Jianming Hu, Lihui Peng, Shuchang Zhou
2025	J	`jnl`	Arch-Net: Model conversion and quantization for architecture agnostic model deployment. Neural Networks Shuangkang Fang, Weixin Xu, Zipeng Feng, Song Yuan, Yufeng Wang, Yi Yang, Wenrui Ding, Shuchang Zhou
2025	J	`jnl`	DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs. CoRR Yubo Shu, Zhewei Huang, Xin Wu, Chen Hu, Shuchang Zhou, Daxin Jiang
2025	J	`jnl`	MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh. CoRR Shuangkang Fang, I-Chao Shen, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Shuchang Zhou, Wenrui Ding, Takeo Igarashi, Ming-Hsuan Yang
2025	J	`jnl`	NeRF Is a Valuable Assistant for 3D Gaussian Splatting. CoRR Shuangkang Fang, I-Chao Shen, Takeo Igarashi, Yufeng Wang, Zesheng Wang, Yi Yang, Wenrui Ding, Shuchang Zhou
2025	J	`jnl`	SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference. CoRR Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu
2025	A*	`conf`	UniScene: Unified Occupancy-centric Driving Scene Generation. CVPR Bohan Li, Jiazhe Guo, Hongsi Liu, Yingshuang Zou, Yikang Ding, Xiwu Chen, Hu Zhu, Feiyang Tan, Chi Zhang, Tiancai Wang, Shuchang Zhou, Li Zhang, Xiaojuan Qi, Hao Zhao, Mu Yang, Wenjun Zeng, Xin Jin
2024	J	`jnl`	A Survey on Video Prediction: From Deterministic to Generative Approaches. CoRR Ruibo Ming, Zhewei Huang, Zhuoxuan Ju, Jianming Hu, Lihui Peng, Shuchang Zhou
2024	J	`jnl`	Advancing Auto-Regressive Continuation for Video Frames. CoRR Ruibo Ming, Jingwei Wu, Zhewei Huang, Zhuoxuan Ju, Jianming Hu, Lihui Peng, Shuchang Zhou
2024	—	`conf`	Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts. ECCV (42) Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Wenrui Ding, Shuchang Zhou, Ming-Hsuan Yang
2024	J	`jnl`	Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts. CoRR Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Wenrui Ding, Shuchang Zhou, Ming-Hsuan Yang
2024	J	`jnl`	Recent Advances in Attack and Defense Approaches of Large Language Models. CoRR Jing Cui, Yishi Xu, Zhewei Huang, Shuchang Zhou, Jianbin Jiao, Junge Zhang
2024	A	`conf`	Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution. WACV Zhewei Huang, Ailin Huang, Xiaotao Hu, Chen Hu, Jun Xu, Shuchang Zhou
2024	J	`jnl`	UniScene: Unified Occupancy-centric Driving Scene Generation. CoRR Bohan Li, Jiazhe Guo, Hongsi Liu, Yingshuang Zou, Yikang Ding, Xiwu Chen, Hu Zhu, Feiyang Tan, Chi Zhang, Tiancai Wang, Shuchang Zhou, Li Zhang, Xiaojuan Qi, Hao Zhao, Mu Yang, Wenjun Zeng, Xin Jin
2023	A*	`conf`	A Dynamic Multi-Scale Voxel Flow Network for Video Prediction. CVPR Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, Shuchang Zhou
2023	J	`jnl`	A Dynamic Multi-Scale Voxel Flow Network for Video Prediction. CoRR Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, Shuchang Zhou
2023	A*	`conf`	Occ ICCV Miao Fan, Mingrui Chen, Chen Hu, Shuchang Zhou
2023	J	`jnl`	Occ CoRR Miao Fan, Mingrui Chen, Chen Hu, Shuchang Zhou
2023	J	`jnl`	OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion. CoRR Ruihang Miao, Weizhou Liu, Mingrui Chen, Zheng Gong, Weixin Xu, Chen Hu, Shuchang Zhou
2023	A*	`conf`	One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation. AAAI Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou
2023	J	`jnl`	PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures. CoRR Shuangkang Fang, Yufeng Wang, Yi Yang, Weixin Xu, Heng Wang, Wenrui Ding, Shuchang Zhou
2023	J	`jnl`	Proximal Policy Optimization Actual Combat: Manipulating Output Tokenizer Length. CoRR Miao Fan, Chen Hu, Shuchang Zhou
2023	A	`conf`	SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference. ICCAD Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu
2023	J	`jnl`	Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution. CoRR Zhewei Huang, Ailin Huang, Xiaotao Hu, Chen Hu, Jun Xu, Shuchang Zhou
2023	J	`jnl`	Text-driven Editing of 3D Scenes without Retraining. CoRR Shuangkang Fang, Yufeng Wang, Yi Yang, Yi-Hsuan Tsai, Wenrui Ding, Ming-Hsuan Yang, Shuchang Zhou
2023	A*	`conf`	Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. CVPR Yun-Hao Cao, Peiqin Sun, Shuchang Zhou
2023	J	`jnl`	Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. CoRR Yun-Hao Cao, Peiqin Sun, Shuchang Zhou
2023	A*	`conf`	UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View. CVPR Shengchao Zhou, Weizhou Liu, Chen Hu, Shuchang Zhou, Chao Ma
2023	J	`jnl`	UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View. CoRR Shengchao Zhou, Weizhou Liu, Chen Hu, Shuchang Zhou, Chao Ma
2022	J	`jnl`	Collaborative Neural Rendering using Anime Character Sheets. CoRR Zuzeng Lin, Ailin Huang, Zhewei Huang, Chen Hu, Shuchang Zhou
2022	A*	`conf`	FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. IJCAI Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou
2022	J	`jnl`	ML4CO-KIDA: Knowledge Inheritance in Data Aggregation. CoRR Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou
2022	J	`jnl`	One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation. CoRR Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou
2022	A*	`conf`	Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. ACM Multimedia Ailin Huang, Zhewei Huang, Shuchang Zhou
2022	J	`jnl`	Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. CoRR Ailin Huang, Zhewei Huang, Shuchang Zhou
2022	—	`conf`	Real-Time Intermediate Flow Estimation for Video Frame Interpolation. ECCV (14) Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
2022	—	`conf`	Synergistic Self-supervised and Quantization Learning. ECCV (30) Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
2022	J	`jnl`	Synergistic Self-supervised and Quantization Learning. CoRR Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
2022	J	`jnl`	The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR 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
2021	J	`jnl`	Arch-Net: Model Distillation for Architecture Agnostic Model Deployment. CoRR Weixin Xu, Zipeng Feng, Shuangkang Fang, Song Yuan, Yi Yang, Shuchang Zhou
2021	J	`jnl`	FQ-ViT: Fully Quantized Vision Transformer without Retraining. CoRR Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou
2021	A	`conf`	Multi-split Reversible Transformers Can Enhance Neural Machine Translation. EACL Yuekai Zhao, Shuchang Zhou, Zhihua Zhang
2021	—	`conf`	The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 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
2020	—	`conf`	Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study. EMNLP (Findings) Yuekai Zhao, Haoran Zhang, Shuchang Zhou, Zhihua Zhang
2020	A*	`conf`	Data-Efficient Semi-Supervised Learning by Reliable Edge Mining. CVPR Peibin Chen, Tao Ma, Xu Qin, Weidi Xu, Shuchang Zhou
2020	J	`jnl`	Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. CoRR Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang
2020	J	`jnl`	RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. CoRR Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
2019	A*	`conf`	Learning to Paint With Model-Based Deep Reinforcement Learning. ICCV Zhewei Huang, Shuchang Zhou, Wen Heng
2019	J	`jnl`	Learning to Paint with Model-based Deep Reinforcement Learning. CoRR Zhewei Huang, Wen Heng, Shuchang Zhou
2018	J	`jnl`	Harmonic Adversarial Attack Method. CoRR Wen Heng, Shuchang Zhou, Tingting Jiang
2018	J	`jnl`	Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks. CoRR Guangzeng Xie, Yitan Wang, Shuchang Zhou, Zhihua Zhang
2018	J	`jnl`	Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. CoRR 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
2018	J	`jnl`	Stroke-based Character Recognition with Deep Reinforcement Learning. CoRR Zhewei Huang, Wen Heng, Yuanzheng Tao, Shuchang Zhou
2017	J	`jnl`	Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks. CoRR Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou
2017	J	`jnl`	Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks. J. Comput. Sci. Technol. Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou
2017	A*	`conf`	EAST: An Efficient and Accurate Scene Text Detector. CVPR Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang
2017	J	`jnl`	EAST: An Efficient and Accurate Scene Text Detector. CoRR Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang
2017	J	`jnl`	GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. CoRR Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He
2017	A	`conf`	GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data. BMVC Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He
2017	—	`conf`	IQNN: Training Quantized Neural Networks with Iterative Optimizations. ICANN (2) Shuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou
2017	J	`jnl`	Learning to Run with Actor-Critic Ensemble. CoRR Zhewei Huang, Shuchang Zhou, BoEr Zhuang, Xinyu Zhou
2016	J	`jnl`	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients. CoRR Shuchang Zhou, Zekun Ni, Xinyu Zhou, He Wen, Yuxin Wu, Yuheng Zou
2016	J	`jnl`	Effective Quantization Methods for Recurrent Neural Networks. CoRR Qinyao He, He Wen, Shuchang Zhou, Yuxin Wu, Cong Yao, Xinyu Zhou, Yuheng Zou
2016	J	`jnl`	Scene Text Detection via Holistic, Multi-Channel Prediction. CoRR Cong Yao, Xiang Bai, Nong Sang, Xinyu Zhou, Shuchang Zhou, Zhimin Cao
2016	J	`jnl`	Training Bit Fully Convolutional Network for Fast Semantic Segmentation. CoRR He Wen, Shuchang Zhou, Zhe Liang, Yuxiang Zhang, Dieqiao Feng, Xinyu Zhou, Cong Yao
2015	J	`jnl`	Compression of Fully-Connected Layer in Neural Network by Kronecker Product. CoRR Shuchang Zhou, Jia-Nan Wu
2015	J	`jnl`	Exploiting Local Structures with the Kronecker Layer in Convolutional Networks. CoRR Shuchang Zhou, Jia-Nan Wu, Yuxin Wu, Xinyu Zhou
2015	J	`jnl`	ICDAR 2015 Text Reading in the Wild Competition. CoRR Xinyu Zhou, Shuchang Zhou, Cong Yao, Zhimin Cao, Qi Yin
2015	J	`jnl`	Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4. CoRR Cong Yao, Jia-Nan Wu, Xinyu Zhou, Chi Zhang, Shuchang Zhou, Zhimin Cao, Qi Yin
2015	J	`jnl`	Multilinear Map Layer: Prediction Regularization by Structural Constraint. CoRR Shuchang Zhou, Yuxin Wu
2014	J	`jnl`	Group Orbit Optimization: A Unified Approach to Data Normalization. CoRR Shuchang Zhou, Zhihua Zhang, Xiaobing Feng
2013	A*	`conf`	A Scalable Approach to Column-Based Low-Rank Matrix Approximation. IJCAI Yifan Pi, Haoruo Peng, Shuchang Zhou, Zhihua Zhang
2013	—	`conf`	Deceptive Answer Prediction with User Preference Graph. ACL (1) Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai
2012	—	`conf`	Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets. ECML/PKDD (1) Haoruo Peng, Zhengyu Wang, Edward Y. Chang, Shuchang Zhou, Zhihua Zhang
2010	C	`conf`	An Efficient Simulation Algorithm for Cache of Random Replacement Policy. NPC Shuchang Zhou