Giới thiệu
GS. Wen-Huang Cheng hiện đang công tác tại Khoa Khoa học Máy tính và Kỹ thuật Thông tin, Đại học Quốc gia Đài Loan. Hướng nghiên cứu của ông tập trung vào trí tuệ nhân tạo, đa phương tiện, thị giác máy tính và học máy.
Ông giữ nhiều vai trò quan trọng tại các tạp chí, hội nghị và tổ chức học thuật quốc tế, như Tổng Biên tập IEEE CTSoc News on Consumer Technology, Senior Editor của IEEE Consumer Electronics Magazine, Associate Editor của IEEE TPAMI và IEEE TMM, cùng vai trò General Chair và Technical Program Chair tại nhiều hội nghị hàng đầu như ACM MMAsia, IEEE ICME và ACM ICMR. Ông cũng là Chủ tịch Technical Committee về Multimedia Systems and Applications của IEEE CASS và thành viên hội đồng quản trị của IAPR.
Ông đã nhận nhiều giải thưởng nghiên cứu và phục vụ học thuật uy tín, bao gồm Giải thưởng Nghiên cứu Xuất sắc 2025 của Hội đồng Khoa học và Công nghệ Quốc gia Đài Loan, NVIDIA Academic Grant Program Award 2025, cùng nhiều giải Best Paper và Outstanding Associate Editor từ IEEE. Ông là IEEE Fellow, IET Fellow, BCS Fellow và ACM Distinguished Member.
· Trí tuệ nhân tạo
· Đa phương tiện
· Thị giác máy tính
· Học máy
· Thực hành thị giác máy tính với học sâu
· Trí tuệ nhân tạo
· Sheng-Hao Liao, Sheng-Hao Liao, Shang-Fu Chen, Tai-Ming Huang, Wen-Huang Cheng, and Kai-Lung Hua, “DirectDrag: High-Fidelity, Mask-Free, Prompt-Free Drag-based Image Editing via Readout-Guided Feature Alignment,” The 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 6-10 March, 2026, Tucson, Arizona, USA.
· Meng-Ting Jhong, Tai-Ming Huang, Shang-Fu Chen, Wen-Huang Cheng, and Kai-Lung Hua, “Dragonite: Single-Step Drag-based Image Editing with Geometric-Semantic Guidance,” The 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 6-10 March, 2026, Tucson, Arizona, USA.
· Jingcheng Ke, Jie Wen, Huiting Wang, Wen-Huang Cheng, and Jia Wang, “Multi-Perspective Cross-Modal Object Encoding for Referring Expression Comprehension,” IEEE Transactions on Image Processing, vol. 34, pp. 6911-6924, October 2025.
· Kun-Hsiang Lin, Yu-Wen Tseng, Kang-Yang Huang, Jhih-Ciang Wu, and Wen-Huang Cheng, “InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing,” The 33rd ACM International Conference on Multimedia (MM 2025), 27-31 October, 2025, Dublin, Ireland.
· Feng-Kai Huang, Bo-Lun Huang, Li-Wu Tsao, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng, “Flowing Crowd to Count Flows: A Self-Supervised Framework for Video Individual Counting,” The 33rd ACM International Conference on Multimedia (MM 2025), 27-31 October, 2025, Dublin, Ireland.
· Seonghwa Choi, Moonkyeong Choi, Mingyu Jang, Jaekyung Kim, Jianfei Cai, Wen-Huang Cheng, and Sanghoon Lee, “Relightable and Dynamic Gaussian Avatar Reconstruction from Monocular Video,” The 33rd ACM International Conference on Multimedia (MM 2025), 27-31 October, 2025, Dublin, Ireland.
· Ruoxuan Zhang, Bin Wen, Hongxia Xie, Yi Yao, Songhan Zuo, Jian-Yu Jiang-Lin, Hong-Han Shuai, and Wen-Huang Cheng, “CookAnything: A Framework for Flexible and Consistent Multi-Step Recipe Image Generation,” The 33rd ACM International Conference on Multimedia (MM 2025), 27-31 October, 2025, Dublin, Ireland.
· Ruyi Xu, Yen-Tzu Chiu, Tai-I Chen, Oscar Chew, Yung-Yu Chuang, and Wen-Huang Cheng, “Training-Free Industrial Defect Generation with Diffusion Models,” The 24th IEEE International Conference on Computer Vision (ICCV 2025), 19-23 October, 2025, Honolulu, Hawai’I, USA.
· Jhe-Hao Lin, Yi Yao, Chan-Feng Hsu, Hongxia Xie, Hong-Han Shuai, and Wen-Huang Cheng, “Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation,” The 24th IEEE International Conference on Computer Vision (ICCV 2025), 19-23 October, 2025, Honolulu, Hawai’I, USA.
· Bo-Lun Huang, Ni Zi Xiang, Feng-Kai Huang, Hong-Han Shuai, and Wen-Huang Cheng, “When Anchors Meet Cold Diffusion: A Multi-Stage Approach to Lane Detection,” The 24th IEEE International Conference on Computer Vision (ICCV 2025), 19-23 October, 2025, Honolulu, Hawai’I, USA.
· Ling Lo, Kelvin C.K. Chan, Wen-Huang Cheng, and Ming-Hsuan Yang, “From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition,” The 24th IEEE International Conference on Computer Vision (ICCV 2025), 19-23 October, 2025, Honolulu, Hawai’I, USA.
· Hou-I Liu, Christine Wu, Jen-Hao Cheng, Wenhao Chai, Shian-Yun Wang, Gaowen Liu, Hugo Latapie, Jhih-Ciang Wu, Jenq-Neng Hwang, Hong-Han Shuai, and Wen-Huang Cheng, “MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection,” The 2025 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025), 11-15 June, 2025, Nashville, TN, USA.
· Yu-Wen Tseng, Sheng-Ping Yang, Jhih-Ciang Wu, I-Bin Liao, Yung-Hui Li, Hong-Han Shuai, and Wen-Huang Cheng, “Memory-augmented Re-completion for 3D Semantic Scene Completion,” The 39th AAAI Conference on Artificial Intelligence (AAAI 2025), 25 February- 4 March, 2025, Philadelphia, Pennsylvania, USA.
· Yu-Hsuan Huang, Ling Lo, Hongxia Xie, Hong-Han Shuai, and Wen-Huang Cheng, “Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec,” The 39th AAAI Conference on Artificial Intelligence (AAAI 2025), 25 February- 4 March, 2025, Philadelphia, Pennsylvania, USA.
· Jeonghun Yeo, Chae Won Kim, Hyunjun Kim, Hyeongseop Rha, Seunghee Han, Wen-Huang Cheng, and Yong Man Ro, “Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language,” The 39th AAAI Conference on Artificial Intelligence (AAAI 2025), 25 February- 4 March, 2025, Philadelphia, Pennsylvania, USA.
· Si-Yu Lu, Yung-Yao Chen, Yi-Tong Wu, Hsin-Chun Lin, Sin-Ye Jhong, and Wen-Huang Cheng, “Radiance Field-based Pose Estimation via Decoupled Optimization Under Challenging Initial Conditions,” The 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 28 February – 4 March, 2025, Tucson, Arizona, USA.
· Jian-Yu Jiang-Lin, Kang-Yang Huang, Ling Lo, Yi-Ning Huang, Terence Lin, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng, “ReCorD: Reasoning and Correcting Diffusion for HOI Generation,” The 32nd ACM International Conference on Multimedia (MM 2024), 28 October – 1 November, 2024, Melbourne, Australia.
· Yi-Xin Huang, Hou-I Liu, Hong-Han Shuai, and Wen-Huang Cheng, “DQ-DETR: DETR with Dynamic Query for Tiny Object Detection,” The 19th European Conference on Computer Vision (ECCV 2024), 29 September-4 October, 2024, Milan, Italy.
· Chan-Feng Hsu, Yi Yao, Jhe-Hao Lin, Hongxia Xie, Terence Lin, Yi-Ning Huang, Hong-Han Shuai, and Wen-Huang Cheng, “The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation,” The 19th European Conference on Computer Vision (ECCV 2024), 29 September-4 October, 2024, Milan, Italy.
· Li-Wu Tsao, Hao-Tang Tsui, Yu Rou Tuan, Pei-Chi Chen, Kuan-Lin Wang, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng, “TrajPrompt: Aligning Color Trajectory with Vision-Language Representations,” The 19th European Conference on Computer Vision (ECCV 2024), 29 September-4 October, 2024, Milan, Italy.
· Pin-Jui Huang, Hongxia Xie, Hung-Cheng Huang, Hong-Han Shuai, and Wen-Huang Cheng, “CA-FER: Mitigating Spurious Correlation with Counterfactual Attention in Facial Expression Recognition,” IEEE Transactions on Affective Computing, vol. 15, no. 3, pp.977-989, July-September 2024.
· Ching-Hao Wang, Kang-Yang Huang, Jun-Cheng Chen, Hong-Han Shuai, and Wen-Huang Cheng, “Lightweight Deep Learning: An Overview,” IEEE Consumer Electronics Magazine, vol. 13, no. 4, pp.51-64, July 2024.
· Hou-I Liu, Marco Galindo, Hongxia Xia, Lai-Kuan Wong, Hong-Han Shuai, Yung-Yui Li, and Wen-Huang Cheng, “Lightweight Deep Learning for Resource-Constrained Environments: A Survey,” ACM Computing Surveys, vol. 56, no. 10, pp.1-42, June 2024.
· Ling Lo, Cheng Yu Yeo, Hong-Han Shuai, and Wen-Huang Cheng, “Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing,” The 2024 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024), 17-21 June, 2024, Seattle, WA, USA.
· Hongxia Xie, Chu-Jun Peng, Yu-Wen Tseng, Hung-Jen Chen, Chan-Feng Hsu, Hong-Han Shuai, and Wen-Huang Cheng, “EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning,” The 2024 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024), 17-21 June, 2024, Seattle, WA, USA.
· 2008: Tiến sĩ, Viện Mạng và Đa phương tiện, Đại học Quốc gia Đài Loan
· 2004: Thạc sĩ, Khoa Khoa học Máy tính và Kỹ thuật Thông tin, Đại học Quốc gia Đài Loan
· 2002: Cử nhân, Khoa Khoa học Máy tính và Kỹ thuật Thông tin, Đại học Quốc gia Đài Loan
· NVIDIA Academic Grant Program Award, 2025
· Outstanding Research Award, National Science and Technology Council, Taiwan, 2025.
· Best WIE Paper Award, IEEE International Conference on Consumer Technology – Pacific (ICCT-Pacific), 2025
· Best Paper Award, IEEE Consumer Electronics Magazine, 2024
· Outstanding Electrical Engineering Professor Award, CIEE (Chinese Institute of Electrical Engineering), 2024
· Outstanding Engineering Professor Award, Chinese Institutes of Engineers, 2024
· IEEE Fellow (for contributions to intelligent multimedia computing and applications), 2024
· Fellow, Asia-Pacific Artificial Intelligence Association (AAIA), 2023
· Best Paper Award, IET International Conference on Engineering Technologies and Applications (ICETA), 2023
· NYCU EE College Distinguished Teaching Award, 2022
· Fellow, British Computer Society (BCS), 2022
· 2021 Future Tech Award, MOST (Ministry of Science and Technology of Taiwan), 2021
· National Innovation Award, 2021
· Outstanding Associate Editor Award, IEEE Transactions on Multimedia, 2021
· Best Associate Editor Award, Multimedia Systems, 2021
· Best Paper Award, IEEE International Conference on Multimedia & Expo (ICME), 2021
· Third Place Winner, Chalearn 3D High-Fidelity Mask Face Presentation Attack Detection Challenge of IEEE International Conference on Computer Vision (ICCV), 2021
· IEEE Distinguished Lecturer, 2021-2022
· NYCU EE/CS Young Scholar Outstanding Contribution Award, 2021
· NYCU Distinguished Mentor Award, 2022
· Outstanding Associate Editor Award, IEEE Transactions on Multimedia, 2020
· ACM Distinguished Member, 2020
· Fellow, Institute of Engineering and Technology (IET), 2020
· First Place Winner, Look Into Person (LIP) Challenge (Track: Image-based Multi-pose Virtual Try-on Challenge) of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
· Third Place Winner, GigaVision Challenge of European Conference on Computer Vision (ECCV), 2020
· MOE Excellent Course Award for Training Program on AIoT Technology and Applications, MOE (Ministry of Education of Taiwan), 2020
· MSRA Collaborative Research Award, 2018
· Outstanding Reviewer Award, IEEE International Conference on Multimedia & Expo (ICME), 2018
· Ta-Yu Wu Memorial Award, MOST (Ministry of Science and Technology of Taiwan), 2017
· Outstanding Young Scholar Award, MOST (Ministry of Science and Technology of Taiwan), 2016
· ACM MM TPC Meeting Travel Award, 2016
· Presidential Achievement Award of Rotary International, 2015-2016
· Outstanding Youth Electrical Engineer Award, CIEE (Chinese Institute of Electrical Engineering), 2015
· Top 10% Paper Award, IEEE International Workshop on Multimedia Signal Processing (MMSP), 2015
· Outstanding Reviewer Award, ACM International Conference on Internet Multimedia Computing and Service (ICIMCS), 2015
· K. T. Li Young Researcher Award, ACM Taipei/Taiwan Chapter, 2014
· Outstanding Young Scholar Award, MOST (Ministry of Science and Technology of Taiwan), 2014
· Outstanding Social Youth of Taipei Municipal, 2014
· Best Reviewer Award, Pacific-Rim Conference on Multimedia (PCM), 2013
· Outstanding Young Scholar Award, NSC (National Science Council of Taiwan), 2012
