Kevin Qinghong Lin

I will join University of Oxford as a Postdoctoral Researcher, working with Prof. Philip Torr.

I am a Ph.D. student in Show Lab, National University of Singapore, luckily advised by Prof. Mike Shou.

I work on building multi-modal assistants from and for humans. This involves abilities like:

• Perception: video understanding, vision-language pretraining
• Reasoning: large multimodal models, reinforcement learning
• Interaction: computer-use agents, coding agents

I am open to discussion and collaboration. Feel free to reach out.

News

Selected Publications [Google Scholar]

† indicates equal contribution. Denotes student I mentored.

	Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers Wei Pang†, Kevin QH. Lin†, Xiangru Jian†, Xi He, Philip Torr Preprint, 2025 ICML MAS workshop, 2025. Oral [paper] [code] [project] [datasets] [twitter] 2K github stars.
	Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models Jiaqi Wang†, Kevin QH. Lin†, James Cheng, Mike Z. Shou. Preprint, 2025 [paper] [code] [huggingface]
	VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning Ye Liu†, Kevin QH. Lin†, Chang Wen Chen, Mike Z. Shou. Preprint, 2025 [paper] [code] [dataset] [project] [demo]
	ShowUI: One Vision-Language-Action Model for GUI Visual Agent Kevin QH. Lin, Linjie Li, Difei Gao, Zhengyuan Yang, Shiwei Wu, Zechen Bai, Stan WX. Lei, Lijuan Wang, Mike Z. Shou. CVPR, 2025 NeurIPS OWA workshop, 2024. Oral [paper] [code] [huggingface] [dataset] [demo] Outstanding Paper Award, NeurIPS Open-World Agents Workshop 2024.
	VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary Kevin QH. Lin, Mike Z. Shou. CVPR, 2025 [paper] [code]
	VideoGUI: A Benchmark for GUI Automation from Instructional Videos Kevin QH. Lin, Linjie Li, Difei Gao, Qinchen Wu, Mingyi Yan, Zhengyuan Yang, Lijuan Wang, Mike Z. Shou. NeurIPS, 2024. Spotlight [paper] [code] [project]
	Learning Video Context as Interleaved Multimodal Sequences Kevin QH. Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Z. Shou. ECCV, 2024 [paper] [code]
	UniVTG: Towards Unified Video-Language Temporal Grounding Kevin QH. Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex JP. Wang, Rui Yan, Mike Z. Shou. ICCV, 2023 [paper] [code] [demo]
	Egocentric Video-Language Pretraining Kevin QH. Lin, Alex JP. Wang, M. Soldan, M. Wray, R. Yan, Eric ZC. Xu, D. Gao, R. Tu, W. Zhao, W. Kong, C. Cai, H. Wang, D. Damen, B. Ghanem, W. Liu, Mike Z. Shou. NeurIPS, 2022. Spotlight (1.7%) [paper] [code] [project] [poster] [media] EgoVis Distinguished Paper Award & PREMIA Best Student Paper Award 2023. Double champions in Ego4D & Epic-Kitchens CVPR 2022 challenges.

Honors

• CVPR Doctoral Consortium
  2025
• Outstanding Paper Award, NeurIPS Open-World Agents
  2024
• NeurIPS Top Reviewers
  2024
• Best Demo Paper Award, ACM Multimedia HCMA
  2024
• Egocentric Vision (EgoVis) Distinguished Paper Award
  2024
• CVPR Outstanding Reviewers (Top 2%)
  2024
• PREMIA Best Student Paper Awards, Gold Award
  2023
• NeurIPS Scholar Award
  2022
• Tencent Rhino-Bird Research Scholarship, Second Prize
  2022
• 1st Place on Ego4D - Object State Change Classification Challenge, CVPR
  2022
• 1st Place on EPIC-Kitchens - Multi-Instance Retrieval Challenge, CVPR
  2022
• Show Lab Annual Award
  2022, 2024
• China National Scholarship
  2018, 2021

Service

• Area Chair: NeurIPS 2025.

• Workshop Organizer: Open Multimodal Gathering @ NUS; Multimodal Video Agent @ CVPR 25.

• Conference Reviewer: CVPR (2024 Outstanding Reviewers), ICCV, ECCV, NeurIPS (2024 Top Reviewers), ICML, ICLR, etc.

• Journal Reviewer: TPAMI, IJCV, TMLR, TNNLS, TMM, etc.

• Teaching Assistant: EE6934, EE6733, EE4212

• Co-organizer of The AI Talks.