An Efficient Simulation Algorithm for Cache of Random Replacement Policy. - Shuchang Zhou 001 (NPC, 2010)

Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets. - Haoruo Peng; Zhengyu Wang; Edward Y. Chang; Shuchang Zhou 001; Zhihua Zhang 004 (ECML/PKDD (1), 2012)

Deceptive Answer Prediction with User Preference Graph. - Fangtao Li; Yang Gao; Shuchang Zhou 001; Xiance Si; Decheng Dai (ACL (1), 2013)

A Scalable Approach to Column-Based Low-Rank Matrix Approximation. - Yifan Pi; Haoruo Peng; Shuchang Zhou 001; Zhihua Zhang 004 (IJCAI, 2013)

Group Orbit Optimization: A Unified Approach to Data Normalization. - Shuchang Zhou 001; Zhihua Zhang 004; Xiaobing Feng 002 (CoRR, 2014)

Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4. - Cong Yao; Jia-Nan Wu; Xinyu Zhou 004; Chi Zhang; Shuchang Zhou 001; Zhimin Cao; Qi Yin (CoRR, 2015)

Compression of Fully-Connected Layer in Neural Network by Kronecker Product. - Shuchang Zhou 001; Jia-Nan Wu (CoRR, 2015)

Multilinear Map Layer: Prediction Regularization by Structural Constraint. - Shuchang Zhou 001; Yuxin Wu (CoRR, 2015)

Exploiting Local Structures with the Kronecker Layer in Convolutional Networks. - Shuchang Zhou 001; Jia-Nan Wu; Yuxin Wu; Xinyu Zhou 004 (CoRR, 2015)

ICDAR 2015 Text Reading in the Wild Competition. - Xinyu Zhou 004; Shuchang Zhou 001; Cong Yao; Zhimin Cao; Qi Yin (CoRR, 2015)

Effective Quantization Methods for Recurrent Neural Networks. - Qinyao He; He Wen; Shuchang Zhou 001; Yuxin Wu; Cong Yao; Xinyu Zhou 004; Yuheng Zou (CoRR, 2016)

Training Bit Fully Convolutional Network for Fast Semantic Segmentation. - He Wen; Shuchang Zhou 001; Zhe Liang; Yuxiang Zhang; Dieqiao Feng; Xinyu Zhou 004; Cong Yao (CoRR, 2016)

Scene Text Detection via Holistic, Multi-Channel Prediction. - Cong Yao; Xiang Bai; Nong Sang; Xinyu Zhou 004; Shuchang Zhou 001; Zhimin Cao (CoRR, 2016)

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients. - Shuchang Zhou 001; Zekun Ni; Xinyu Zhou 004; He Wen; Yuxin Wu; Yuheng Zou (CoRR, 2016)

GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data. - Shuchang Zhou 001; Taihong Xiao; Yi Yang 033; Dieqiao Feng; Qinyao He; Weiran He (BMVC, 2017)

EAST: An Efficient and Accurate Scene Text Detector. - Xinyu Zhou 004; Cong Yao; He Wen; Yuzhi Wang; Shuchang Zhou 001; Weiran He; Jiajun Liang (CVPR, 2017)

IQNN: Training Quantized Neural Networks with Iterative Optimizations. - Shuchang Zhou 001; He Wen; Taihong Xiao; Xinyu Zhou 004 (ICANN (2), 2017)

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. - Shuchang Zhou 001; Taihong Xiao; Yi Yang 033; Dieqiao Feng; Qinyao He; Weiran He (CoRR, 2017)

Learning to Run with Actor-Critic Ensemble. - Zhewei Huang; Shuchang Zhou 001; BoEr Zhuang; Xinyu Zhou 004 (CoRR, 2017)

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks. - Shuchang Zhou 001; Yuzhi Wang; He Wen; Qinyao He; Yuheng Zou (J. Comput. Sci. Technol., 2017)

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. - Lukasz Kidzinski; Sharada Prasanna Mohanty; Carmichael F. Ong; Zhewei Huang; Shuchang Zhou 001; Anton Pechenko; Adam Stelmaszczyk; Piotr Jarosik; Mikhail Pavlov; Sergey Kolesnikov; Sergey M. Plis; Zhibo Chen 001; et al. (CoRR, 2018)

Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks. - Guangzeng Xie; Yitan Wang; Shuchang Zhou 001; Zhihua Zhang 004 (CoRR, 2018)

Stroke-based Character Recognition with Deep Reinforcement Learning. - Zhewei Huang; Wen Heng; Yuanzheng Tao; Shuchang Zhou 001 (CoRR, 2018)

Harmonic Adversarial Attack Method. - Wen Heng; Shuchang Zhou 001; Tingting Jiang 001 (CoRR, 2018)

Learning to Paint With Model-Based Deep Reinforcement Learning. - Zhewei Huang; Shuchang Zhou 001; Wen Heng (ICCV, 2019)

Data-Efficient Semi-Supervised Learning by Reliable Edge Mining. - Peibin Chen; Tao Ma; Xu Qin; Weidi Xu; Shuchang Zhou 001 (CVPR, 2020)

Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study. - Yuekai Zhao; Haoran Zhang; Shuchang Zhou 001; Zhihua Zhang 004 (EMNLP (Findings), 2020)

Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. - Dachao Lin; Peiqin Sun; Guangzeng Xie; Shuchang Zhou 001; Zhihua Zhang 004 (CoRR, 2020)

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. - Zhewei Huang; Tianyuan Zhang; Wen Heng; Boxin Shi; Shuchang Zhou 001 (CoRR, 2020)

Multi-split Reversible Transformers Can Enhance Neural Machine Translation. - Yuekai Zhao; Shuchang Zhou 001; Zhihua Zhang 004 (EACL, 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; et al. (NeurIPS (Competition and Demos), 2021)

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment. - Weixin Xu; Zipeng Feng; Shuangkang Fang; Song Yuan; Yi Yang 033; Shuchang Zhou 001 (CoRR, 2021)

FQ-ViT: Fully Quantized Vision Transformer without Retraining. - Yang Lin; Tianyu Zhang; Peiqin Sun; Zheng Li; Shuchang Zhou 001 (CoRR, 2021)

Synergistic Self-supervised and Quantization Learning. - Yun-Hao Cao; Peiqin Sun; Yechang Huang; Jianxin Wu 001; Shuchang Zhou 001 (ECCV (30), 2022)

Real-Time Intermediate Flow Estimation for Video Frame Interpolation. - Zhewei Huang; Tianyuan Zhang; Wen Heng; Boxin Shi; Shuchang Zhou 001 (ECCV (14), 2022)

FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. - Yang Lin; Tianyu Zhang; Peiqin Sun; Zheng Li; Shuchang Zhou 001 (IJCAI, 2022)

Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer. - Ailin Huang; Zhewei Huang; Shuchang Zhou 001 (ACM Multimedia, 2022)

ML4CO-KIDA: Knowledge Inheritance in Data Aggregation. - Zixuan Cao; Yang Xu; Zhewei Huang; Shuchang Zhou 001 (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 001; et al. (CoRR, 2022)

Collaborative Neural Rendering using Anime Character Sheets. - Zuzeng Lin; Ailin Huang; Zhewei Huang; Chen Hu; Shuchang Zhou 001 (CoRR, 2022)

One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation. - Shuangkang Fang; Weixin Xu; Heng Wang; Yi Yang 033; Yufeng Wang 004; Shuchang Zhou 001 (AAAI, 2023)

Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. - Yun-Hao Cao; Peiqin Sun; Shuchang Zhou 001 (CVPR, 2023)

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction. - Xiaotao Hu; Zhewei Huang; Ailin Huang; Jun Xu; Shuchang Zhou 001 (CVPR, 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 001; Chao Ma (CVPR, 2023)

SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference. - Wenxun Wang; Shuchang Zhou 001; Wenyu Sun; Peiqin Sun; Yongpan Liu (ICCAD, 2023)

Occ2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions. - Miao Fan; Mingrui Chen; Chen Hu; Shuchang Zhou 001 (ICCV, 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 001 (CoRR, 2023)

PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures. - Shuangkang Fang; Yufeng Wang 004; Yi Yang 033; Weixin Xu; Heng Wang; Wenrui Ding; Shuchang Zhou 001 (CoRR, 2023)

Proximal Policy Optimization Actual Combat: Manipulating Output Tokenizer Length. - Miao Fan; Chen Hu; Shuchang Zhou 001 (CoRR, 2023)

Text-driven Editing of 3D Scenes without Retraining. - Shuangkang Fang; Yufeng Wang 004; Yi Yang 033; Yi-Hsuan Tsai; Wenrui Ding; Ming-Hsuan Yang 001; Shuchang Zhou 001 (CoRR, 2023)

Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts. - Shuangkang Fang; Yufeng Wang 004; Yi-Hsuan Tsai; Yi Yang 033; Wenrui Ding; Shuchang Zhou 001; Ming-Hsuan Yang 001 (ECCV (42), 2024)

Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution. - Zhewei Huang; Ailin Huang; Xiaotao Hu; Chen Hu; Jun Xu; Shuchang Zhou 001 (WACV, 2024)

A Survey on Video Prediction: From Deterministic to Generative Approaches. - Ruibo Ming; Zhewei Huang; Zhuoxuan Ju; Jianming Hu; Lihui Peng; Shuchang Zhou 001 (CoRR, 2024)

Recent Advances in Attack and Defense Approaches of Large Language Models. - Jing Cui; Yishi Xu; Zhewei Huang; Shuchang Zhou 001; Jianbin Jiao; Junge Zhang (CoRR, 2024)

Advancing Auto-Regressive Continuation for Video Frames. - Ruibo Ming; Jingwei Wu; Zhewei Huang; Zhuoxuan Ju; Jianming Hu; Lihui Peng; Shuchang Zhou 001 (CoRR, 2024)

UniScene: Unified Occupancy-centric Driving Scene Generation. - Bohan Li; Jiazhe Guo; Hongsi Liu; Yingshuang Zou; Yikang Ding; Xiwu Chen; Hu Zhu; Feiyang Tan; Chi Zhang; Tiancai Wang; Shuchang Zhou 001; Li Zhang 040; et al. (CVPR, 2025)

Arch-Net: Model conversion and quantization for architecture agnostic model deployment. - Shuangkang Fang; Weixin Xu; Zipeng Feng; Song Yuan; Yufeng Wang 004; Yi Yang 033; Wenrui Ding; Shuchang Zhou 001 (Neural Networks, 2025)

A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches. - Ruibo Ming; Zhewei Huang; Jingwei Wu; Zhuoxuan Ju; Daxin Jiang; Jianming Hu; Lihui Peng; Shuchang Zhou 001 (Trans. Mach. Learn. Res., 2025)

DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs. - Yubo Shu; Zhewei Huang; Xin Wu; Chen Hu; Shuchang Zhou 001; Daxin Jiang (CoRR, 2025)

NeRF Is a Valuable Assistant for 3D Gaussian Splatting. - Shuangkang Fang; I-Chao Shen; Takeo Igarashi; Yufeng Wang 004; ZeSheng Wang; Yi Yang 033; Wenrui Ding; Shuchang Zhou 001 (CoRR, 2025)

MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh. - Shuangkang Fang; I-Chao Shen; Yufeng Wang 004; Yi-Hsuan Tsai; Yi Yang 033; Shuchang Zhou 001; Wenrui Ding; Takeo Igarashi; Ming-Hsuan Yang 001 (CoRR, 2025)