Guangzhi Wang 王广智
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Short Bio
I obtained my PhD degree from National University of Singapore, advised by Prof. Mohan Kankanhalli in 2024.
My research interests include Multimodal Large Language Models (MLLM), Human-Object Interaction Detection and AIGC related topics.
Before that, I obtained my B.Eng. degree of Computer Science from Zhejiang University in June, 2019.
During my study, I had the pleasure to intern at Microsoft Research (Redmond), Tencent ARC Lab, Didi Chuxing and Hikvision Research Institute.
I am always open to collaborations! Feel free to contact me if you find a joint research interets with me.
Publications
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Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness
Guangzhi Wang, Yangyang Guo, Ziwei Xu, Mohan Kankanhalli IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024 |
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PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
Yangyang Guo, Guangzhi Wang, Ziwei Xu, Mohan Kankanhalli IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024 |
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SEED-Bench-2: Benchmarking Multimodal Large Language Models
Bohao Li*, Yuying Ge*, Yixiao Ge, Guangzhi Wang, Rui Wang, Ruimao Zhang, Ying Shan IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024 |
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S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing
Guangzhi Wang, Tianyi Chen, Kamran Ghasedi, HsiangTao Wu, Tianyu Ding, Chris Nuesmeyer, Ilya Zharkov, Mohan Kankanhalli, Luming Liang Arxiv Preprint |
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SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension
Bohao Li*, Rui Wang*, Guangzhi Wang*, Yuying Ge, Yixiao Ge, Ying Shan Arxiv Preprint |
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What Makes for Good Visual Tokenizers for Large Language Models?
Guangzhi Wang, Yixiao Ge, Xiaohan Ding, Mohan Kankanhalli, Ying Shan Arxiv Preprint |
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Text to Point Cloud Localization with Relation Enhanced Transformer
Guangzhi Wang, Hehe Fan, Mohan Kankanhalli AAAI Conference on Artificial Intelligence (AAAI) 2023 |
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Distance Matters in Human-Object Interaction Detection
Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan Kankanhalli ACM International Conference on Multimedia (ACM MM) 2022 |
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Chairs Can be Stood on: Overcomming Object Bias in Human-Object Interaction Detection
Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan Kankanhalli European Conference on Computer Vision (ECCV) 2022 |
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Semantic-aware Triplet Loss for Image Classification
Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan Kankanhalli IEEE Transactions on Multimedia (TMM) 2022 |
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Dynamic knowledge distillation with cross-modality knowledge transfer
Guangzhi Wang ACM Conference on Multimedia(ACM MM), Doctoral Symposium 2021 |
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Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan Kankanhalli IEEE Transactions on Multimedia (TMM) 2021 |
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Multi-source Distilling Domain Adaptation
Sicheng Zhao*, Guangzhi Wang*, Shanghang Zhang*, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2020 |
Education
Zhejiang University, B.Eng. in Computer Science, 2015 -- 2019
National University of Singapore, PhD in Data Science, 2020 -- 2024
Internship Experience
Microsoft Research, Applied Science Group, Research Intern, Redmond, Jul. 2023 -- Sep. 2023
Tencent, PCG ARC Lab, Research Intern, Beijing, Jan. 2023 -- Jun. 2023
HikVision Research Institutue, Algorithm Intern, Hangzhou, Oct. 2019 -- Dec. 2019
Westlake University, Research Intern, Hangzhou, Jul. 2019 -- Sep. 2019
DiDi, Algorithm Intern, Beijing, Nov. 2018 -- Mar. 2019
Teaching
NUS CS5242 Neural Network and Deep Learning
NUS CS4243 Computer Vision and Pattern Recognition
Services
Invitated Reviewer: ECCV, CVPR, ICCV, AAAI, IJCAI, ToMM, TMM, ICIP, Knowledge-Based Systems
© Guangzhi Wang | Last updated: Apr. 2024