Zhewei Huang

According to our database, Zhewei Huang authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

IRI-VFI dataset.

Wei Si, Zhaolin Zheng, Zhewei Huang, Xi-Ming Xu, Ruijue Wang, Ji-Gang Bao, Qiang Xiong, Xiantong Zhen, Jun Xu

Dataset, April, 2024

Recent Advances in Attack and Defense Approaches of Large Language Models.

Jing Cui, Yishi Xu, Zhewei Huang, Shuchang Zhou, Jianbin Jiao, Junge Zhang

CoRR, 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

Exploring the Impact of LLM Assisted Malware Variants on Anti-Virus Detection.

Zhewei Huang, Yin Minn Pa Pa, Katsunari Yoshioka

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2024

2023

Collaborative Neural Rendering Using Anime Character Sheets.

Zuzeng Lin, Ailin Huang, Zhewei Huang

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

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

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

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

2020

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

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

CoRR, 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

Stroke-based Character Recognition with Deep Reinforcement Learning.

Zhewei Huang, Wen Heng, Yuanzheng Tao, Shuchang Zhou

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

Learning to Run with Actor-Critic Ensemble.

Zhewei Huang, Shuchang Zhou, BoEr Zhuang, Xinyu Zhou

CoRR, 2017