Junnan Li - RankMe

112 papers A* 26A 2C 2Journal 71Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Buy versus Build an LLM: A Decision Framework for Governments. CoRR Jiahao Lu, Ziwei Xu, William Tjhi, Junnan Li, Antoine Bosselut, Pang Wei Koh, Mohan Kankanhalli
2026	J	`jnl`	Gradually Compacting Large Language Models for Reasoning Like a Boiling Frog. CoRR Yiran Zhao, Shengyang Zhou, Zijian Wu, Tongyan Hu, Yuhui Xu, Rengan Dou, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Michael Qizhe Shieh
2026	J	`jnl`	W&D:Scaling Parallel Tool Calling for Efficient Deep Research Agents. CoRR Xiaoqiang Lin, Jun Hao Liew, Silvio Savarese, Junnan Li
2025	J	`jnl`	A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce. CoRR Wei Xiong, Jiarui Yao, Yuhui Xu, Bo Pang, Lei Wang, Doyen Sahoo, Junnan Li, Nan Jiang, Tong Zhang, Caiming Xiong, Hanze Dong
2025	J	`jnl`	Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding. CoRR Ziyang Wang, Honglu Zhou, Shijie Wang, Junnan Li, Caiming Xiong, Silvio Savarese, Mohit Bansal, Michael S. Ryoo, Juan Carlos Niebles
2025	—	`conf`	Aria-UI: Visual Grounding for GUI Instructions. ACL (Findings) Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li
2025	J	`jnl`	BLIP3o-NEXT: Next Frontier of Native Image Generation. CoRR Jiuhai Chen, Le Xue, Zhiyang Xu, Xichen Pan, Shusheng Yang, Can Qin, An Yan, Honglu Zhou, Zeyuan Chen, Lifu Huang, Tianyi Zhou, Junnan Li, Silvio Savarese, Caiming Xiong, Ran Xu
2025	J	`jnl`	Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models. CoRR Zhiyuan Hu, Yibo Wang, Hanze Dong, Yuhui Xu, Amrita Saha, Caiming Xiong, Bryan Hooi, Junnan Li
2025	J	`jnl`	CoAct-1: Computer-using Agents with Coding as Actions. CoRR Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong
2025	J	`jnl`	Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models. CoRR Xu Liu, Taha Aksu, Juncheng Liu, Qingsong Wen, Yuxuan Liang, Caiming Xiong, Silvio Savarese, Doyen Sahoo, Junnan Li, Chenghao Liu
2025	J	`jnl`	Fractured Chain-of-Thought Reasoning. CoRR Baohao Liao, Hanze Dong, Yuhui Xu, Doyen Sahoo, Christof Monz, Junnan Li, Caiming Xiong
2025	J	`jnl`	GTA1: GUI Test-time Scaling Agent. CoRR 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
2025	—	`conf`	Generative Frame Sampler for Long Video Understanding. ACL (Findings) Linli Yao, Haoning Wu, Kun Ouyang, Yuanxing Zhang, Caiming Xiong, Bei Chen, Xu Sun, Junnan Li
2025	J	`jnl`	Generative Frame Sampler for Long Video Understanding. CoRR Linli Yao, Haoning Wu, Kun Ouyang, Yuanxing Zhang, Caiming Xiong, Bei Chen, Xu Sun, Junnan Li
2025	J	`jnl`	MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers. CoRR Ziyang Luo, Zhiqi Shen, Wenzhuo Yang, Zirui Zhao, Prathyusha Jwalapuram, Amrita Saha, Doyen Sahoo, Silvio Savarese, Caiming Xiong, Junnan Li
2025	J	`jnl`	Moirai 2.0: When Less Is More for Time Series Forecasting. CoRR Chenghao Liu, Taha Aksu, Juncheng Liu, Xu Liu, Hanshu Yan, Quang Pham, Silvio Savarese, Doyen Sahoo, Caiming Xiong, Junnan Li
2025	A*	`conf`	Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. ICML Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2025	—	`conf`	ProBench: Judging Multimodal Foundation Models on Open-ended Multi-domain Expert Tasks. ACL (Findings) Yan Yang, Dongxu Li, Haoning Wu, Bei Chen, Liu Liu, Liyuan Pan, Junnan Li
2025	J	`jnl`	ProBench: Judging Multimodal Foundation Models on Open-ended Multi-domain Expert Tasks. CoRR Yan Yang, Dongxu Li, Haoning Wu, Bei Chen, Liu Liu, Liyuan Pan, Junnan Li
2025	J	`jnl`	Reward Models Identify Consistency, Not Causality. CoRR Yuhui Xu, Hanze Dong, Lei Wang, Caiming Xiong, Junnan Li
2025	A*	`conf`	Reward-Guided Speculative Decoding for Efficient LLM Reasoning. ICML Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong
2025	J	`jnl`	Reward-Guided Speculative Decoding for Efficient LLM Reasoning. CoRR Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong
2025	J	`jnl`	Scalable Chain of Thoughts via Elastic Reasoning. CoRR Yuhui Xu, Hanze Dong, Lei Wang, Doyen Sahoo, Junnan Li, Caiming Xiong
2025	J	`jnl`	The Emergence of Abstract Thought in Large Language Models Beyond Any Language. CoRR Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang
2025	A*	`conf`	VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation. CVPR Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan S. Kankanhalli, Junnan Li
2025	J	`jnl`	WALT: Web Agents that Learn Tools. CoRR Viraj Prabhu, Yutong Dai, Matthew Fernandez, Jing Gu, Krithika Ramakrishnan, Yanqi Luo, Silvio Savarese, Caiming Xiong, Junnan Li, Zeyuan Chen, Ran Xu
2024	J	`jnl`	Accelerating Video Diffusion Models via Distribution Matching. CoRR Yuanzhi Zhu, Hanshu Yan, Huan Yang, Kai Zhang, Junnan Li
2024	J	`jnl`	Aria-UI: Visual Grounding for GUI Instructions. CoRR Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li
2024	J	`jnl`	Aria: An Open Multimodal Native Mixture-of-Experts Model. CoRR Dongxu Li, Yudong Liu, Haoning Wu, Yue Wang, Zhiqi Shen, Bowen Qu, Xinyao Niu, Guoyin Wang, Bei Chen, Junnan Li
2024	A*	`conf`	LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding. NeurIPS Haoning Wu, Dongxu Li, Bei Chen, Junnan Li
2024	J	`jnl`	LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding. CoRR Haoning Wu, Dongxu Li, Bei Chen, Junnan Li
2024	J	`jnl`	OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs. CoRR Yuanzhi Zhu, Ruiqing Wang, Shilin Lu, Junnan Li, Hanshu Yan, Kai Zhang
2024	A*	`conf`	ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. CVPR Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese
2024	J	`jnl`	VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation. CoRR Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan S. Kankanhalli, Junnan Li
2024	—	`conf`	What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. NAACL-HLT Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong
2024	J	`jnl`	What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. CoRR Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong
2024	—	`conf`	X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning. ECCV (45) Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2023	A*	`conf`	BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. ICML Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi
2023	J	`jnl`	BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. CoRR Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi
2023	A*	`conf`	BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. NeurIPS Dongxu Li, Junnan Li, Steven C. H. Hoi
2023	J	`jnl`	BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. CoRR Dongxu Li, Junnan Li, Steven C. H. Hoi
2023	A*	`conf`	CodeT5+: Open Code Large Language Models for Code Understanding and Generation. EMNLP Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi
2023	J	`jnl`	CodeT5+: Open Code Large Language Models for Code Understanding and Generation. CoRR Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi
2023	J	`jnl`	CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. CoRR Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi
2023	—	`conf`	Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models. ESEC/SIGSOFT FSE Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty, Steven C. H. Hoi
2023	A*	`conf`	From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. CVPR Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi
2023	J	`jnl`	Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognit. Lett. Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi
2023	A*	`conf`	InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. NeurIPS Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi
2023	J	`jnl`	InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. CoRR Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi
2023	—	`conf`	LAVIS: A One-stop Library for Language-Vision Intelligence. ACL (demo) Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi
2023	A*	`conf`	Masked Unsupervised Self-training for Label-free Image Classification. ICLR Junnan Li, Silvio Savarese, Steven C. H. Hoi
2023	A*	`conf`	Tackling Data Heterogeneity in Federated Learning with Class Prototypes. AAAI Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
2023	J	`jnl`	ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding. CoRR Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese
2023	J	`jnl`	X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning. CoRR Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2022	A*	`conf`	Align and Prompt: Video-and-Language Pre-training with Entity Prompts. CVPR Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi
2022	A*	`conf`	BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. ICML Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi
2022	J	`jnl`	BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. CoRR Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi
2022	J	`jnl`	BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems. CoRR Guangsen Wang, Shafiq R. Joty, Junnan Li, Steven C. H. Hoi
2022	J	`jnl`	From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. CoRR Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi
2022	J	`jnl`	LAVIS: A Library for Language-Vision Intelligence. CoRR Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi
2022	J	`jnl`	Masked Unsupervised Self-training for Zero-shot Image Classification. CoRR Junnan Li, Silvio Savarese, Steven C. H. Hoi
2022	—	`conf`	Open Vocabulary Object Detection with Pseudo Bounding-Box Labels. ECCV (10) Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong
2022	—	`conf`	Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. EMNLP (Findings) Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi
2022	J	`jnl`	Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. CoRR Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi
2022	J	`jnl`	Tackling Data Heterogeneity in Federated Learning with Class Prototypes. CoRR Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
2021	J	`jnl`	Align and Prompt: Video-and-Language Pre-training with Entity Prompts. CoRR Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi
2021	A*	`conf`	Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. NeurIPS Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi
2021	J	`jnl`	Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. CoRR Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq R. Joty, Caiming Xiong, Steven C. H. Hoi
2021	J	`jnl`	Cascaded Fast and Slow Models for Efficient Semantic Code Search. CoRR Akhilesh Deepak Gotmare, Junnan Li, Shafiq R. Joty, Steven C. H. Hoi
2021	A*	`conf`	CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. ICCV Junnan Li, Caiming Xiong, Steven C. H. Hoi
2021	J	`jnl`	Improving Tail-Class Representation with Centroid Contrastive Learning. CoRR Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi
2021	A*	`conf`	Learning from Noisy Data with Robust Representation Learning. ICCV Junnan Li, Caiming Xiong, Steven C. H. Hoi
2021	A*	`conf`	MoPro: Webly Supervised Learning with Momentum Prototypes. ICLR Junnan Li, Caiming Xiong, Steven C. H. Hoi
2021	A*	`conf`	Prototypical Contrastive Learning of Unsupervised Representations. ICLR Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi
2021	J	`jnl`	Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes. CoRR Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong
2020	J	`jnl`	CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. CoRR Junnan Li, Caiming Xiong, Steven C. H. Hoi
2020	A*	`conf`	DivideMix: Learning with Noisy Labels as Semi-supervised Learning. ICLR Junnan Li, Richard Socher, Steven C. H. Hoi
2020	J	`jnl`	DivideMix: Learning with Noisy Labels as Semi-supervised Learning. CoRR Junnan Li, Richard Socher, Steven C. H. Hoi
2020	A	`conf`	GradMix: Multi-source Transfer across Domains and Tasks. WACV Junnan Li, Ziwei Xu, Yongkang Wang, Qi Zhao, Mohan S. Kankanhalli
2020	J	`jnl`	GradMix: Multi-source Transfer across Domains and Tasks. CoRR Junnan Li, Ziwei Xu, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2020	J	`jnl`	Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher
2020	J	`jnl`	Interact as You Intend: Intention-Driven Human-Object Interaction Detection. IEEE Trans. Multim. Bingjie Xu, Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2020	—	`conf`	Learning on the Fly: An RNN-Based Online Throughput Prediction Framework for UAV Communications. ICC Workshops Yuxuan Jiang, Koichi Nihei, Junnan Li, Hiroshi Yoshida, Dai Kanetomo
2020	J	`jnl`	MoPro: Webly Supervised Learning with Momentum Prototypes. CoRR Junnan Li, Caiming Xiong, Steven C. H. Hoi
2020	J	`jnl`	Prototypical Contrastive Learning of Unsupervised Representations. CoRR Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi
2020	—	`conf`	The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. ECCV (14) Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2020	J	`jnl`	The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. CoRR Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2020	J	`jnl`	Towards Noise-resistant Object Detection with Noisy Annotations. CoRR Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi
2020	J	`jnl`	Video Storytelling: Textual Summaries for Events. IEEE Trans. Multim. Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2020	J	`jnl`	Visual Social Relationship Recognition. Int. J. Comput. Vis. Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2020	A	`conf`	Weakly-Supervised Multi-Person Action Recognition in 360° Videos. WACV Junnan Li, Jianquan Liu, Yongkang Wang, Shoji Nishimura, Mohan S. Kankanhalli
2020	J	`jnl`	Weakly-Supervised Multi-Person Action Recognition in 360° Videos. CoRR Junnan Li, Jianquan Liu, Yongkang Wong, Shoji Nishimura, Mohan S. Kankanhalli
2019	J	`jnl`	A Multi-sensor Framework for Personal Presentation Analytics. ACM Trans. Multim. Comput. Commun. Appl. Tian Gan, Junnan Li, Yongkang Wong, Mohan S. Kankanhalli
2019	J	`jnl`	Classification Calibration for Long-tail Instance Segmentation. CoRR Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2019	J	`jnl`	Deep Reinforcement Learning in Soft Viscoelastic Actuator of Dielectric Elastomer. IEEE Robotics Autom. Lett. Lu Li, Junnan Li, Lei Qin, Jiawei Cao, Mohan S. Kankanhalli, Jian Zhu
2019	J	`jnl`	LSTM-based multi-label video event detection. Multim. Tools Appl. An-An Liu, Zhuang Shao, Yongkang Wong, Junnan Li, Yuting Su, Mohan S. Kankanhalli
2019	A*	`conf`	Learning to Detect Human-Object Interactions With Knowledge. CVPR Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli
2019	A*	`conf`	Learning to Learn From Noisy Labeled Data. CVPR Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2019	A*	`conf`	Self-supervised Representation Learning Using 360° Data. ACM Multimedia Junnan Li, Jianquan Liu, Yongkang Wong, Shoji Nishimura, Mohan S. Kankanhalli
2018	J	`jnl`	Interact as You Intend: Intention-Driven Human-Object Interaction Detection. CoRR Bingjie Xu, Junnan Li, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2018	J	`jnl`	Learning to Learn from Noisy Labeled Data. CoRR Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2018	A*	`conf`	Unsupervised Learning of View-invariant Action Representations. NeurIPS Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2018	J	`jnl`	Unsupervised Learning of View-invariant Action Representations. CoRR Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2018	J	`jnl`	Video Storytelling. CoRR Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2018	J	`jnl`	Visual Social Relationship Recognition. CoRR Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2017	A*	`conf`	Attention Transfer from Web Images for Video Recognition. ACM Multimedia Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2017	J	`jnl`	Attention Transfer from Web Images for Video Recognition. CoRR Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2017	A*	`conf`	Dual-Glance Model for Deciphering Social Relationships. ICCV Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2017	J	`jnl`	Dual-Glance Model for Deciphering Social Relationships. CoRR Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
2017	J	`jnl`	Hierarchical & multimodal video captioning: Discovering and transferring multimodal knowledge for vision to language. Comput. Vis. Image Underst. An-An Liu, Ning Xu, Yongkang Wong, Junnan Li, Yuting Su, Mohan S. Kankanhalli
2016	C	`conf`	Demo Paper: PreSense - An Assistive Presentation Self-Quantification System. ISM Junnan Li, Yongkang Wong, Mohan S. Kankanhalli
2016	C	`conf`	Multi-stream Deep Learning Framework for Automated Presentation Assessment. ISM Junnan Li, Yongkang Wong, Mohan S. Kankanhalli