Li, Junnan

36 publications

ICLR 2026 CoAct-1: Computer-Using Multi-Agent System with Coding Actions Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong

ICLR 2026 GTA1: GUI Test-Time Scaling Agent Yan Yang, Dongxu Li, Yutong Dai, Yuhao Yang, Ziyang Luo, Zirui Zhao, Zhiyuan Hu, Junzhe Huang, Amrita Saha, Zeyuan Chen, Ran Xu, Liyuan Pan, Caiming Xiong, Junnan Li

ICLR 2026 Learning to Reason over Continuous Tokens with Reinforcement Learning Yiran Zhao, Yuhui Xu, Doyen Sahoo, Caiming Xiong, Junnan Li

ICLR 2026 One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-Offs Yuanzhi Zhu, Ruiqing Wang, Shilin Lu, Hanshu Yan, Junnan Li, Kai Zhang

ICLR 2026 Scalable Chain of Thoughts via Elastic Reasoning Yuhui Xu, Hanze Dong, Lei Wang, Doyen Sahoo, Junnan Li, Caiming Xiong

ICLR 2026 WALT: Web Agents That Learn Tools Viraj Prabhu, Yutong Dai, Matthew Fernandez, Krithika Ramakrishnan, Jing Gu, Yanqi Luo, Silvio Savarese, Caiming Xiong, Junnan Li, Zeyuan Chen, Ran Xu

ICLRW 2025 Aria-UI: Visual Grounding for GUI Instructions Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li

ICML 2025 Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo

ICML 2025 Reward-Guided Speculative Decoding for Efficient LLM Reasoning Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong

NeurIPS 2025 The Emergence of Abstract Thought in Large Language Models Beyond Any Language Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang

CVPR 2025 VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis Through User Simulation Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan Kankanhalli, Junnan Li

NeurIPS 2024 LongVideoBench: A Benchmark for Long-Context Interleaved Video-Language Understanding Haoning Wu, Dongxu Li, Bei Chen, Junnan Li

ICLRW 2024 Toward Data-Driven Skill Identification for General-Purpose Vision-Language Models Anthony Tiong, Junqi Zhao, Junnan Li, Steven Hoi, Caiming Xiong, Boyang Li

CVPR 2024 ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

ICML 2023 BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models Junnan Li, Dongxu Li, Silvio Savarese, Steven Hoi

NeurIPS 2023 BLIP-Diffusion: Pre-Trained Subject Representation for Controllable Text-to-Image Generation and Editing Dongxu Li, Junnan Li, Steven C. Hoi

CVPR 2023 From Images to Textual Prompts: Zero-Shot Visual Question Answering with Frozen Large Language Models Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven Hoi

NeurIPS 2023 InstructBLIP: Towards General-Purpose Vision-Language Models with Instruction Tuning Wenliang Dai, Junnan Li, Dongxu Li, Anthony Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale N Fung, Steven C. Hoi

ICLR 2023 Masked Unsupervised Self-Training for Label-Free Image Classification Junnan Li, Silvio Savarese, Steven Hoi

AAAI 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

CVPR 2022 Align and Prompt: Video-and-Language Pre-Training with Entity Prompts Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C.H. Hoi

ICML 2022 BLIP: Bootstrapping Language-Image Pre-Training for Unified Vision-Language Understanding and Generation Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi

ECCV 2022 Open Vocabulary Object Detection with Pseudo Bounding-Box Labels Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong

NeurIPS 2021 Align Before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, Steven Chu Hong Hoi

ICCV 2021 CoMatch: Semi-Supervised Learning with Contrastive Graph Regularization Junnan Li, Caiming Xiong, Steven C.H. Hoi

ICCV 2021 Learning from Noisy Data with Robust Representation Learning Junnan Li, Caiming Xiong, Steven C.H. Hoi

ICLR 2021 MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li, Caiming Xiong, Steven Hoi

ICLR 2021 Prototypical Contrastive Learning of Unsupervised Representations Junnan Li, Pan Zhou, Caiming Xiong, Steven Hoi

ICLR 2020 DivideMix: Learning with Noisy Labels as Semi-Supervised Learning Junnan Li, Richard Socher, Steven C. H. Hoi

WACV 2020 GradMix: Multi-Source Transfer Across Domains and Tasks Junnan Li, Ziwei Xu, Wong Yongkang, Qi Zhao, Mohan Kankanhalli

ECCV 2020 The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng

WACV 2020 Weakly-Supervised Multi-Person Action Recognition in 360$^{\circ}$ Videos Junnan Li, Jianquan Liu, Wong Yongkang, Shoji Nishimura, Mohan Kankanhalli

CVPR 2019 Learning to Detect Human-Object Interactions with Knowledge Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli

CVPR 2019 Learning to Learn from Noisy Labeled Data Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli

NeurIPS 2018 Unsupervised Learning of View-Invariant Action Representations Junnan Li, Yongkang Wong, Qi Zhao, Mohan S Kankanhalli

ICCV 2017 Dual-Glance Model for Deciphering Social Relationships Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli