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

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

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

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

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)

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

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

Collaborative Neural Rendering Using Anime Character Sheets. - Zuzeng Lin; Ailin Huang; Zhewei Huang (IJCAI, 2023)

Exploring the Impact of LLM Assisted Malware Variants on Anti-Virus Detection. - Zhewei Huang; Yin Minn Pa Pa; Katsunari Yoshioka (DSC, 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)

IRI-VFI dataset. - Wei Si; Zhaolin Zheng; Zhewei Huang; Xi-Ming Xu 002; Ruijue Wang; Ji-Gang Bao; Qiang Xiong; Xiantong Zhen; Jun Xu 019 (IEEE DataPort, 2024)

Learning temporal-aware representation for controllable interventional radiology imaging. - Wei Si; Zhaolin Zheng; Zhewei Huang; Xi-Ming Xu 002; Ruijue Wang; Ji-Gang Bao; Qiang Xiong; Xiantong Zhen; Jun Xu 019 (Comput. Vis. Image Underst., 2025)

Advancing video self-supervised learning via image foundation models. - Jingwei Wu; Zhewei Huang; Chang Liu 047 (Pattern Recognit. Lett., 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)

Advancing Video Self-Supervised Learning via Image Foundation Models. - Jingwei Wu; Zhewei Huang; Chang Liu (CoRR, 2025)

ViStoryBench: Comprehensive Benchmark Suite for Story Visualization. - Cailin Zhuang; Ailin Huang; Wei Cheng; Jingwei Wu; Yaoqi Hu; Jiaqi Liao; Zhewei Huang; Hongyuan Wang; Xinyao Liao; Weiwei Cai; Hengyuan Xu; Xuanyang Zhang; et al. (CoRR, 2025)

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model. - Ailin Huang; Bingxin Li; Bruce Wang; Boyong Wu; Chao Yan; Chengli Feng; Heng Wang 007; Hongyu Zhou; Hongyuan Wang; Jingbei Li; Jianjian Sun; Joanna Wang; et al. (CoRR, 2025)