Qinghong Lin

According to our database, Qinghong Lin authored at least 65 papers between 2020 and 2026.

Collaborative distances:

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

2026

SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects.

Puyi Wang, Yuhao Wang, Linjie Li, Zhengyuan Yang, Kevin Qinghong Lin, Yangguang Li, Yu Cheng

CoRR, May, 2026

AI for Auto-Research: Roadmap & User Guide.

Lingdong Kong, Xian Sun, Wei Chow, Linfeng Li, Kevin Qinghong Lin, Xuan Billy Zhang, Song Wang, Rong Li, Qing Wu, Wei Gao, Yingshuo Wang, Shaoyuan Xie, Jiachen Liu, Leigang Qu, Shijie Li, Lai Xing Ng, Benoit R. Cottereau, Ziwei Liu, Tat-Seng Chua, Wei Tsang Ooi

CoRR, May, 2026

Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration.

Yiren Song, Huilin Zhong, Kevin Qinghong Lin, Haofan Wang, Mike Zheng Shou

CoRR, May, 2026

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation.

Sike Xiang, Shuang Chen, Kevin Qinghong Lin, Jialin Yu, Yijia Sun, Philip Torr, Amir Atapour-Abarghouei

CoRR, May, 2026

Reasoning Compression with Mixed-Policy Distillation.

Han Yang, Mingyan Wu, Bailan He, Zeyu Cao, Sikuan Yan, Kevin Qinghong Lin, Zifeng Ding

CoRR, May, 2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia

CoRR, April, 2026

GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents.

Mingyu Ouyang, Siyuan Hu, Kevin Qinghong Lin, Hwee Tou Ng, Mike Zheng Shou

CoRR, April, 2026

GUIDE: A Benchmark for Understanding and Assisting Users in Open-Ended GUI Tasks.

Saelyne Yang, Jaesang Yu, Yi-Hao Peng, Kevin Qinghong Lin, Jae Won Cho, Yale Song, Juho Kim

CoRR, March, 2026

CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents.

Xiangru Jian, Shravan Nayak, Kevin Qinghong Lin, Aarash Feizi, Kaixin Li, Patrice Béchard, Spandana Gella, Sai Rajeswar

CoRR, March, 2026

Code2World: A GUI World Model via Renderable Code Generation.

Yuhao Zheng, Li'an Zhong, Yi Wang, Rui Dai, Kaikui Liu, Xiangxiang Chu, Linyuan Lv, Philip Torr, Kevin Qinghong Lin

CoRR, February, 2026

FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection.

Mingyu Ouyang, Kevin Qinghong Lin, Mike Zheng Shou, Hwee Tou Ng

CoRR, January, 2026

A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications.

Neel Mokaria, Rishie Raj, Dheeraj Baiju, Xiaoqian Shen, Shraman Pramanick, Kevin Qinghong Lin, Arda Senocak, Mike Zheng Shou, Philip Torr, Mohamed Elhoseiny, Yapeng Tian, Ruohan Gao, Salman Khan, Sayan Nag, Sanjoy Chowdhury, Dinesh Manocha

Trans. Mach. Learn. Res., 2026

2025

ShowUI-<i>π</i>: Flow-based Generative Models as GUI Dexterous Hands.

Siyuan Hu, Kevin Qinghong Lin, Mike Zheng Shou

CoRR, December, 2025

Video Reality Test: Can AI-Generated ASMR Videos fool VLMs and Humans?

Jiaqi Wang, Weijia Wu, Yi Zhan, Rui Zhao, Ming Hu, James Cheng, Wei Liu, Philip Torr, Kevin Qinghong Lin

CoRR, December, 2025

Computer-Use Agents as Judges for Generative User Interface.

Kevin Qinghong Lin, Siyuan Hu, Linjie Li, Zhengyuan Yang, Lijuan Wang, Philip Torr, Mike Zheng Shou

CoRR, November, 2025

Grounding Computer Use Agents on Human Demonstrations.

Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan Obando-Ceron, Juan A. Rodríguez, Nicolas Chapados, David Vázquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar

CoRR, November, 2025

VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation.

Kevin Qinghong Lin, Yuhao Zheng, Hangyu Ran, Dantong Zhu, Dongxing Mao, Linjie Li, Philip Torr, Alex Jinpeng Wang

CoRR, November, 2025

Paper2Video: Automatic Video Generation from Scientific Papers.

Zeyu Zhu, Kevin Qinghong Lin, Mike Zheng Shou

CoRR, October, 2025

Code2Video: A Code-centric Paradigm for Educational Video Generation.

Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou

CoRR, October, 2025

DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection.

Henghao Zhao, Kevin Qinghong Lin, Rui Yan, Zechao Li

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Reinforcement Learning in Vision: A Survey.

Weijia Wu, Chen Gao, Joya Chen, Kevin Qinghong Lin, Qingwei Meng, Yiming Zhang, Yuke Qiu, Hong Zhou, Mike Zheng Shou

CoRR, August, 2025

Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers.

Wei Pang, Kevin Qinghong Lin, Xiangru Jian, Xi He, Philip Torr

CoRR, May, 2025

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction.

Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Rabiul Awal, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CoRR, March, 2025

VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning.

Ye Liu, Kevin Qinghong Lin, Chang Wen Chen, Mike Zheng Shou

CoRR, March, 2025

Fusion-Attention Diagnosis Network (FADNet): An end-to-end framework for optic disc segmentation and ocular disease classification.

Yichen Xiao, Xuan Ding, Shengtao Liu, Yong Ma, Ting Zhang, Ziwei Xiang, Ruyi Zhang, Teruko Fukuyama, Jing Zhao, Yanze Yu, Xuejun Wang, Qinghong Lin, Yu Zhao, Guangyang Tian, Shiping Wen, Zhi Chen, Xingtao Zhou

Inf. Fusion, 2025

Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models.

Jiaqi Wang, Kevin Qinghong Lin, James Cheng, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

GUI-Narrator: Detecting and Captioning Computer GUI Actions.

Qinchen Wu, Difei Gao, Qinghong Lin, Zhuoyu Wu, Mike Zheng Shou

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction.

Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary.

Kevin Qinghong Lin, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ShowUI: One Vision-Language-Action Model for GUI Visual Agent.

Kevin Qinghong Lin, Linjie Li, Difei Gao, Zhengyuan Yang, Shiwei Wu, Zechen Bai, Stan Weixian Lei, Lijuan Wang, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ROICtrl: Boosting Instance Control for Visual Generation.

Yuchao Gu, Yipin Zhou, Yunfan Ye, Yixin Nie, Licheng Yu, Pingchuan Ma, Kevin Qinghong Lin, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation.

Weijia Wu, Mingyu Liu, Zeyu Zhu, Xi Xia, Haoen Feng, Wen Wang, Kevin Qinghong Lin, Chunhua Shen, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting.

Muhammet Furkan Ilaslan, Ali Köksal, Kevin Qinghong Lin, Burak Satar, Mike Zheng Shou, Qianli Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

ShowUI: One Vision-Language-Action Model for GUI Visual Agent.

Kevin Qinghong Lin, Linjie Li, Difei Gao, Zhengyuan Yang, Shiwei Wu, Zechen Bai, Weixian Lei, Lijuan Wang, Mike Zheng Shou

CoRR, 2024

GUI Action Narrator: Where and When Did That Action Take Place?

Qinchen Wu, Difei Gao, Kevin Qinghong Lin, Zhuoyu Wu, Xiangwu Guo, Peiran Li, Weichen Zhang, Hengxu Wang, Mike Zheng Shou

CoRR, 2024

Learning Long-form Video Prior via Generative Pre-Training.

Jinheng Xie, Jiajun Feng, Zhaoxu Tian, Kevin Qinghong Lin, Yawen Huang, Xi Xia, Nanxu Gong, Xu Zuo, Jiaqi Yang, Yefeng Zheng, Mike Zheng Shou

CoRR, 2024

COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training.

Alex Jinpeng Wang, Linjie Li, Kevin Qinghong Lin, Jianfeng Wang, Kevin Lin, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou

CoRR, 2024

VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation.

Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

VideoGUI: A Benchmark for GUI Automation from Instructional Videos.

Kevin Qinghong Lin, Linjie Li, Difei Gao, Qinchen Wu, Mingyi Yan, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AssistEditor: Multi-Agent Collaboration for GUI Workflow Automation in Video Creation.

Difei Gao, Siyuan Hu, Zechen Bai, Qinghong Lin, Mike Zheng Shou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

AssistGPT: Towards Multi-modal Agent for Human-Centric AI Assistant.

Difei Gao, Siyuan Hu, Qinghong Lin, Mike Zheng Shou

Proceedings of the 5th International Workshop on Human-centric Multimedia Analysis, 2024

Learning Video Context as Interleaved Multimodal Sequences.

Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou

Proceedings of the Computer Vision - ECCV 2024, 2024

Bootstrapping SparseFormers from Vision Foundation Models.

Ziteng Gao, Zhan Tong, Kevin Qinghong Lin, Joya Chen, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VideoLLM-online: Online Video Large Language Model for Streaming Video.

Joya Chen, Zhaoyang Lv, Shiwei Wu, Kevin Qinghong Lin, Chenan Song, Difei Gao, Jia-Wei Liu, Ziteng Gao, Dongxing Mao, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unsupervised Cross-Modal Hashing With Modality-Interaction.

Rong-Cheng Tu, Jie Jiang, Qinghong Lin, Chengfei Cai, Shangxuan Tian, Hongfa Wang, Wei Liu

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Unsupervised Cross-Modal Hashing via Semantic Text Mining.

Rong-Cheng Tu, Xian-Ling Mao, Qinghong Lin, Wenjin Ji, Weize Qin, Wei Wei, Heyan Huang

IEEE Trans. Multim., 2023

Unsupervised Hashing with Semantic Concept Mining.

Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin, Chengfei Cai, Weize Qin, Wei Wei, Hongfa Wang, Heyan Huang

Proc. ACM Manag. Data, 2023

DiffusionVMR: Diffusion Model for Video Moment Retrieval.

Henghao Zhao, Kevin Qinghong Lin, Rui Yan, Zechao Li

CoRR, 2023

AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn.

Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou

CoRR, 2023

VisorGPT: Learning Visual Prior via Generative Pre-Training.

Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

CoRR, 2023

Learning Visual Prior via Generative Pre-Training.

Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Too Large; Data Reduction for Vision-Language Pre-Training.

Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei, Mike Zheng Shou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone.

Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UniVTG: Towards Unified Video-Language Temporal Grounding.

Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

All in One: Exploring Unified Video-Language Pre-Training.

Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Kevin Qinghong Lin, Satoshi Tsutsui, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Affordance Grounding from Demonstration Video to Target Image.

Joya Chen, Difei Gao, Kevin Qinghong Lin, Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022.

Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

CoRR, 2022

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022.

Kevin Qinghong Lin, Alex Jinpeng Wang, Rui Yan, Eric Zhongcong Xu, Rong-Cheng Tu, Yanru Zhu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Wei Liu, Mike Zheng Shou

CoRR, 2022

Egocentric Video-Language Pretraining.

Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

CoRR, 2022

Egocentric Video-Language Pretraining.

Kevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Unsupervised Hashing with Latent Semantic Components.

Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep Self-Adaptive Hashing for Image Retrieval.

Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Label Self-Adaption Hashing for Image Retrieval.

Jianglin Lu, Zhihui Lai, Jingxu Lin, Qinghong Lin, Jie Zhou

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Superpixel Cut for Unsupervised Image Segmentation.

Qinghong Lin, Weichan Zhong, Jianglin Lu

Proceedings of the 25th International Conference on Pattern Recognition, 2020