Chunyuan Li

247 papers A* 51A 6B 1C 1Misc 1Journal 145Unranked 41
YearRankTypeTitle / Venue / Authors
2026 J jnl
OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence.
CoRR
Feilong Tang, Xiang An, Yunyao Yan, Yin Xie, Bin Qin, Kaicheng Yang, Yifei Shen, Yuanhan Zhang, Chunyuan Li, Shikun Feng, Changrui Chen, Huajie Tan, Ming Hu, Manyuan Zhang, Bo Li, Ziyong Feng, Ziwei Liu, Zongyuan Ge, Jiankang Deng
2026 J jnl
Solder Joint Inspection Using Digital Model Priors for Industrial Applications.
IEEE Access
Chunyuan Li, Peng Zhang, Shuangming Wang, Lei Liu, Mingquan Shi
2026 J jnl
UniT: Unified Multimodal Chain-of-Thought Test-time Scaling.
CoRR
Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei Yang, Chunyuan Li, Junzhe Sun, Chu Wang, Serena Yeung-Levy, Felix Juefei-Xu
2025 J jnl
Benchmarking and Analyzing Generative Data for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Bo Li, Haotian Liu, Liangyu Chen, Yong Jae Lee, Chunyuan Li, Ziwei Liu
2025 — conf
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model.
CVPR Workshops
Lu Xu, Sijie Zhu, Chunyuan Li, Chia-Wen Kuo, Fan Chen, Xinyao Wang, Guang Chen, Dawei Du, Ye Yuan, Longyin Wen
2025 — conf
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward.
NAACL (Long Papers)
Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander G. Hauptmann, Yonatan Bisk, Yiming Yang
2025 A* conf
Graphic Design with Large Multimodal Model.
AAAI
Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao
2025 J jnl
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model.
CoRR
Xiyao Wang, Chunyuan Li, Jianwei Yang, Kai Zhang, Bo Liu, Tianyi Xiong, Furong Huang
2025 A* conf
LLaVA-Critic: Learning to Evaluate Multimodal Models.
CVPR
Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li
2025 A* conf
LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.
ICLR
Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li
2025 J jnl
LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training.
CoRR
Xiang An, Yin Xie, Kaicheng Yang, Wenkang Zhang, Xiuwei Zhao, Zheng Cheng, Yirui Wang, Songcen Xu, Changrui Chen, Chunsheng Wu, Huajie Tan, Chunyuan Li, Jing Yang, Jie Yu, Xiyao Wang, Bin Qin, Yumeng Wang, Zizhen Yan, Ziyong Feng, Ziwei Liu, Bo Li, Jiankang Deng
2025 J jnl
LLaVA-OneVision: Easy Visual Task Transfer.
Trans. Mach. Learn. Res.
Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Peiyuan Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li
2025 J jnl
LLaVA-Video: Video Instruction Tuning With Synthetic Data.
Trans. Mach. Learn. Res.
Yuanhan Zhang, Jinming Wu, Wei Li, Bo Li, Zejun Ma, Ziwei Liu, Chunyuan Li
2025 — conf
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.
NAACL (Findings)
Kaichen Zhang, Bo Li, Peiyuan Zhang, Fanyi Pu, Joshua Adrian Cahyono, Kairui Hu, Shuai Liu, Yuanhan Zhang, Jingkang Yang, Chunyuan Li, Ziwei Liu
2025 J jnl
Long Context Transfer from Language to Vision.
Trans. Mach. Learn. Res.
Peiyuan Zhang, Kaichen Zhang, Bo Li, Guangtao Zeng, Jingkang Yang, Yuanhan Zhang, Ziyue Wang, Haoran Tan, Chunyuan Li, Ziwei Liu
2025 A* conf
MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines.
ICLR
Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li
2025 A* conf
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
ICLR
Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2025 J jnl
Otter: A Multi-Modal Model With In-Context Instruction Tuning.
IEEE Trans. Pattern Anal. Mach. Intell.
Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Joshua Adrian Cahyono, Jingkang Yang, Chunyuan Li, Ziwei Liu
2025 A* conf
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning.
ICLR
Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, Haoqi Fan
2025 J jnl
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning.
CoRR
Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, Haoqi Fan
2024 — conf
Aligning Large Multimodal Models with Factually Augmented RLHF.
ACL (Findings)
Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
2024 J jnl
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model.
CoRR
Lu Xu, Sijie Zhu, Chunyuan Li, Chia-Wen Kuo, Fan Chen, Xinyao Wang, Guang Chen, Dawei Du, Ye Yuan, Longyin Wen
2024 J jnl
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward.
CoRR
Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang
2024 J jnl
Graphic Design with Large Multimodal Model.
CoRR
Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao
2024 — conf
Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection.
ECCV (47)
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang
2024 J jnl
Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models.
Int. J. Comput. Vis.
Kaiyang Zhou, Ziwei Liu, Xiaohua Zhai, Chunyuan Li, Kate Saenko
2024 A* conf
Improved Baselines with Visual Instruction Tuning.
CVPR
Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee
2024 J jnl
Industrial Fusion Cascade Detection of Solder Joint.
Comput. Mater. Continua
Chunyuan Li, Peng Zhang, Shuangming Wang, Lie Liu, Mingquan Shi
2024 J jnl
LLaVA-Critic: Learning to Evaluate Multimodal Models.
CoRR
Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li
2024 — conf
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models.
ECCV (43)
Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Leizhang, Chunyuan Li, Jainwei Yang
2024 J jnl
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.
CoRR
Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li
2024 J jnl
LLaVA-OneVision: Easy Visual Task Transfer.
CoRR
Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li
2024 — conf
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.
ECCV (47)
Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li
2024 J jnl
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.
CoRR
Kaichen Zhang, Bo Li, Peiyuan Zhang, Fanyi Pu, Joshua Adrian Cahyono, Kairui Hu, Shuai Liu, Yuanhan Zhang, Jingkang Yang, Chunyuan Li, Ziwei Liu
2024 J jnl
Long Context Transfer from Language to Vision.
CoRR
Peiyuan Zhang, Kaichen Zhang, Bo Li, Guangtao Zeng, Jingkang Yang, Yuanhan Zhang, Ziyue Wang, Haoran Tan, Chunyuan Li, Ziwei Liu
2024 J jnl
MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.
CoRR
Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li
2024 A* conf
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
ICLR
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
2024 J jnl
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
CoRR
Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2024 J jnl
Multimodal Foundation Models: From Specialists to General-Purpose Assistants.
Found. Trends Comput. Graph. Vis.
Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao
2024 J jnl
OCRBench: on the hidden mystery of OCR in large multimodal models.
Sci. China Inf. Sci.
Yuliang Liu, Zhang Li, Mingxin Huang, Biao Yang, Wenwen Yu, Chunyuan Li, Xu-Cheng Yin, Cheng-Lin Liu, Lianwen Jin, Xiang Bai
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024 J jnl
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners.
CoRR
Ziyu Guo, Renrui Zhang, Xiangyang Zhu, Chengzhuo Tong, Peng Gao, Chunyuan Li, Pheng-Ann Heng
2024 A* conf
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment.
NeurIPS
Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou, Haoyuan Guo
2024 J jnl
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment.
CoRR
Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou, Haoyuan Guo
2024 — conf
Segment and Recognize Anything at Any Granularity.
ECCV (48)
Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao
2024 Misc conf
Towards Building The Federatedgpt: Federated Instruction Tuning.
ICASSP
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen
2024 J jnl
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR
Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024 J jnl
Video Instruction Tuning With Synthetic Data.
CoRR
Yuanhan Zhang, Jinming Wu, Wei Li, Bo Li, Zejun Ma, Ziwei Liu, Chunyuan Li
2024 A* conf
Visual in-Context Prompting.
CVPR
Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao
2023 A* conf
A Simple Framework for Open-Vocabulary Segmentation and Detection.
ICCV
Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang
2023 J jnl
A Simple Framework for Open-Vocabulary Segmentation and Detection.
CoRR
Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, Lei Zhang
2023 J jnl
Aligning Large Multimodal Models with Factually Augmented RLHF.
CoRR
Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
2023 J jnl
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models.
CoRR
Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen
2023 J jnl
Benchmarking and Analyzing Generative Data for Visual Recognition.
CoRR
Bo Li, Haotian Liu, Liangyu Chen, Yong Jae Lee, Chunyuan Li, Ziwei Liu
2023 J jnl
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys.
CoRR
Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
2023 J jnl
Calibration and Uncertainty in Neural Time-to-Event Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao
2023 J jnl
Contrastive Attraction and Contrastive Repulsion for Representation Learning.
Trans. Mach. Learn. Res.
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
2023 A* conf
GLIGEN: Open-Set Grounded Text-to-Image Generation.
CVPR
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee
2023 J jnl
GLIGEN: Open-Set Grounded Text-to-Image Generation.
CoRR
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee
2023 A* conf
Generalized Decoding for Pixel, Image, and Language.
CVPR
Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao
2023 J jnl
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
CoRR
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang
2023 J jnl
Improved Baselines with Visual Instruction Tuning.
CoRR
Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee
2023 J jnl
Instruction Tuning with GPT-4.
CoRR
Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao
2023 J jnl
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models.
CoRR
Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang
2023 J jnl
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing.
CoRR
Wei-Ge Chen, Irina Spiridonova, Jianwei Yang, Jianfeng Gao, Chunyuan Li
2023 A* conf
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.
NeurIPS
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
2023 J jnl
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.
CoRR
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
2023 J jnl
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.
CoRR
Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li
2023 A* conf
Large Language Models are Visual Reasoning Coordinators.
NeurIPS
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
2023 J jnl
Large Language Models are Visual Reasoning Coordinators.
CoRR
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
2023 J jnl
Large Multimodal Models: Notes on CVPR 2023 Tutorial.
CoRR
Chunyuan Li
2023 A* conf
Learning Customized Visual Models with Retrieval-Augmented Knowledge.
CVPR
Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
2023 J jnl
Learning Customized Visual Models with Retrieval-Augmented Knowledge.
CoRR
Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
2023 J jnl
MIMIC-IT: Multi-Modal In-Context Instruction Tuning.
CoRR
Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Jingkang Yang, Chunyuan Li, Ziwei Liu
2023 J jnl
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.
CoRR
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
2023 J jnl
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images.
CoRR
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
2023 J jnl
Multimodal Foundation Models: From Specialists to General-Purpose Assistants.
CoRR
Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao
2023 J jnl
On the Hidden Mystery of OCR in Large Multimodal Models.
CoRR
Yuliang Liu, Zhang Li, Hongliang Li, Wenwen Yu, Mingxin Huang, Dezhi Peng, Mingyu Liu, Mingrui Chen, Chunyuan Li, Lianwen Jin, Xiang Bai
2023 A* conf
Parameter-Efficient Model Adaptation for Vision Transformers.
AAAI
Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang
2023 — conf
Research on multi-factor quantitative investment strategy of SVM model based on machine learning.
ICAICE
Ting Liu, Chunyuan Li
2023 — conf
Scaling Vision-Language Models with Sparse Mixture of Experts.
EMNLP (Findings)
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He
2023 J jnl
Scaling Vision-Language Models with Sparse Mixture of Experts.
CoRR
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He
2023 J jnl
Semantic-SAM: Segment and Recognize Anything at Any Granularity.
CoRR
Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao
2023 J jnl
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.
CoRR
Jianwei Yang, Hao Zhang, Feng Li, Xueyan Zou, Chunyuan Li, Jianfeng Gao
2023 J jnl
Towards Building the Federated GPT: Federated Instruction Tuning.
CoRR
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen
2023 J jnl
Visual In-Context Prompting.
CoRR
Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao
2023 A* conf
Visual Instruction Tuning.
NeurIPS
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
2023 J jnl
Visual Instruction Tuning.
CoRR
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
2022 J jnl
Application of Two Novel Acoustic Emission Parameters on Identifying the Instability of Granite.
Entropy
Zhenxing Ji, Peihua Jiang, Haiyang Yi, Zhuang Zhuo, Chunyuan Li, Zhide Wu
2022 A* conf
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models.
NeurIPS
Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao
2022 J jnl
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models.
CoRR
Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao
2022 A* conf
Efficient Self-supervised Vision Transformers for Representation Learning.
ICLR
Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao
2022 A* conf
Focal Modulation Networks.
NeurIPS
Jianwei Yang, Chunyuan Li, Xiyang Dai, Jianfeng Gao
2022 J jnl
Focal Modulation Networks.
CoRR
Jianwei Yang, Chunyuan Li, Jianfeng Gao
2022 J jnl
Generalized Decoding for Pixel, Image, and Language.
CoRR
Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao
2022 A* conf
Grounded Language-Image Pre-training.
CVPR
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao
2022 B conf
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics.
ICPR
Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang
2022 J jnl
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics.
CoRR
Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang
2022 A* conf
K-LITE: Learning Transferable Visual Models with External Knowledge.
NeurIPS
Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao
2022 J jnl
K-LITE: Learning Transferable Visual Models with External Knowledge.
CoRR
Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao
2022 J jnl
Lafite2: Few-shot Text-to-Image Generation.
CoRR
Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu
2022 — conf
MoDNA: motif-oriented pre-training for DNA language model.
BCB
Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang
2022 J jnl
Parameter-efficient Fine-tuning for Vision Transformers.
CoRR
Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang
2022 A* conf
RegionCLIP: Region-based Language-Image Pretraining.
CVPR
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao
2022 — conf
STT: Soft Template Tuning for Few-Shot Adaptation.
ICDM (Workshops)
Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen
2022 J jnl
STT: Soft Template Tuning for Few-Shot Adaptation.
CoRR
Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen
2022 A* conf
Towards Language-Free Training for Text-to-Image Generation.
CVPR
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
2022 A* conf
Unified Contrastive Learning in Image-Text-Label Space.
CVPR
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
2022 J jnl
Unified Contrastive Learning in Image-Text-Label Space.
CoRR
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
2022 J jnl
Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends.
Found. Trends Comput. Graph. Vis.
Zhe Gan, Linjie Li, Chunyuan Li, Lijuan Wang, Zicheng Liu, Jianfeng Gao
2022 J jnl
Vision-Language Pre-training: Basics, Recent Advances, and Future Trends.
CoRR
Zhe Gan, Linjie Li, Chunyuan Li, Lijuan Wang, Zicheng Liu, Jianfeng Gao
2021 J jnl
A Generic Approach for Enhancing GANs by Regularized Latent Optimization.
CoRR
Yufan Zhou, Chunyuan Li, Changyou Chen, Jinhui Xu
2021 J jnl
Contrastive Conditional Transport for Representation Learning.
CoRR
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
2021 J jnl
Efficient Self-supervised Vision Transformers for Representation Learning.
CoRR
Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao
2021 A* conf
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.
ICCV
Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021 J jnl
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.
CoRR
Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021 — conf
Few-Shot Named Entity Recognition: An Empirical Baseline Study.
EMNLP (1)
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han
2021 J jnl
Florence: A New Foundation Model for Computer Vision.
CoRR
Lu Yuan, Dongdong Chen, Yi-ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang
2021 A* conf
Focal Attention for Long-Range Interactions in Vision Transformers.
NeurIPS
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao
2021 J jnl
Focal Self-attention for Local-Global Interactions in Vision Transformers.
CoRR
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao
2021 J jnl
Grounded Language-Image Pre-training.
CoRR
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao
2021 A* conf
Hierarchical Graph Capsule Network.
AAAI
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2021 J jnl
LAFITE: Towards Language-Free Training for Text-to-Image Generation.
CoRR
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
2021 A* conf
Leveraging User Behavior History for Personalized Email Search.
WWW
Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun
2021 J jnl
Leveraging User Behavior History for Personalized Email Search.
CoRR
Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun
2021 A* conf
Partition-Guided GANs.
CVPR
Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou
2021 J jnl
Partition-Guided GANs.
CoRR
Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou
2021 — conf
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems.
ACL/IJCNLP (1)
Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao
2021 — conf
ReMP: Rectified Metric Propagation for Few-Shot Learning.
CVPR Workshops
Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen
2021 J jnl
RegionCLIP: Region-based Language-Image Pretraining.
CoRR
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao
2021 — conf
Rethinking Sentiment Style Transfer.
EMNLP (Findings)
Ping Yu, Yang Zhao, Chunyuan Li, Changyou Chen
2021 J jnl
SDA: Improving Text Generation with Self Data Augmentation.
CoRR
Ping Yu, Ruiyi Zhang, Yang Zhao, Yizhe Zhang, Chunyuan Li, Changyou Chen
2021 J jnl
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching.
Trans. Assoc. Comput. Linguistics
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao
2021 J jnl
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching.
CoRR
Baolin Peng, Chunyuan Li, Zhu Zhang, Jinchao Li, Chenguang Zhu, Jianfeng Gao
2020 A conf
Advancing weakly supervised cross-domain alignment with optimal transport.
BMVC
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2020 A* conf
Complementary Auxiliary Classifiers for Label-Conditional Text Generation.
AAAI
Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao
2020 A* conf
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.
ICLR
Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson
2020 A* conf
Feature Quantization Improves GAN Training.
ICML
Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen
2020 J jnl
Feature Quantization Improves GAN Training.
CoRR
Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen
2020 J jnl
Few-Shot Named Entity Recognition: A Comprehensive Study.
CoRR
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han
2020 — conf
Few-shot Natural Language Generation for Task-Oriented Dialog.
EMNLP (Findings)
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
2020 J jnl
Few-shot Natural Language Generation for Task-Oriented Dialog.
CoRR
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
2020 J jnl
Hierarchical Graph Capsule Network.
CoRR
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2020 — conf
Improving Text Generation with Student-Forcing Optimal Transport.
EMNLP (1)
Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
2020 J jnl
Improving Text Generation with Student-Forcing Optimal Transport.
CoRR
Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
2020 J jnl
Multi-View Learning for Vision-and-Language Navigation.
CoRR
Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith
2020 — conf
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space.
EMNLP (1)
Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao
2020 J jnl
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space.
CoRR
Chunyuan Li, Xiang Gao, Yuan Li, Xiujun Li, Baolin Peng, Yizhe Zhang, Jianfeng Gao
2020 — conf
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks.
ECCV (30)
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
2020 J jnl
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks.
CoRR
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
2020 — conf
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training.
EMNLP (1)
Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan
2020 J jnl
POINTER: Constrained Text Generation via Insertion-based Generative Pre-training.
CoRR
Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan
2020 J jnl
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems.
CoRR
Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao
2020 A* conf
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering.
ICLR
Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin
2020 J jnl
ReMP: Rectified Metric Propagation for Few-Shot Learning.
CoRR
Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen
2020 — conf
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
EMNLP (1)
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020 J jnl
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
CoRR
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020 J jnl
Robust Conversational AI with Grounded Text Generation.
CoRR
Jianfeng Gao, Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Heung-Yeung Shum
2020 J jnl
SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model.
CoRR
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao
2020 J jnl
Self-supervised Pre-training with Hard Examples Improves Visual Representations.
CoRR
Chunyuan Li, Xiujun Li, Lei Zhang, Baolin Peng, Mingyuan Zhou, Jianfeng Gao
2020 J jnl
Shape retrieval of non-rigid 3d human models.
CoRR
David Pickup, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Z. Cheng, Zhouhui Lian, Masaki Aono, A. Ben Hamza, Alexander M. Bronstein, Michael M. Bronstein, S. Bu, Umberto Castellani, S. Cheng, Valeria Garro, Andrea Giachetti, Afzal Godil, Luca Isaia, J. Han, Henry Johan, Long Lai, Bo Li, Chunyuan Li, Haisheng Li, Roee Litman, X. Liu, Z. Liu, Yijuan Lu, Li Sun, Gary K. L. Tam, Atsushi Tatsuma, Jianbo Ye
2020 — conf
Structure-Aware Human-Action Generation.
ECCV (30)
Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen
2020 J jnl
Structure-Aware Human-Action Generation.
CoRR
Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen
2020 J jnl
Survival Cluster Analysis.
CoRR
Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
2020 — conf
Survival cluster analysis.
CHIL
Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
2020 A* conf
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training.
CVPR
Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao
2020 J jnl
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training.
CoRR
Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao
2020 J jnl
Weakly supervised cross-domain alignment with optimal transport.
CoRR
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2019 A conf
Adversarial Learning of a Sampler Based on an Unnormalized Distribution.
AISTATS
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019 J jnl
Adversarial Learning of a Sampler Based on an Unnormalized Distribution.
CoRR
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019 A* conf
Communication-Efficient Stochastic Gradient MCMC for Neural Networks.
AAAI
Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin
2019 — conf
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.
NAACL-HLT (1)
Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin
2019 J jnl
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.
CoRR
Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin
2019 J jnl
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.
CoRR
Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson
2019 — conf
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
BioNLP@ACL
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2019 J jnl
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain.
CoRR
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2019 — conf
Implicit Deep Latent Variable Models for Text Generation.
EMNLP/IJCNLP (1)
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen
2019 J jnl
Implicit Deep Latent Variable Models for Text Generation.
CoRR
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen
2019 — conf
Robust Navigation with Language Pretraining and Stochastic Sampling.
EMNLP/IJCNLP (1)
Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi
2019 J jnl
Robust Navigation with Language Pretraining and Stochastic Sampling.
CoRR
Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi
2019 J jnl
Straight-Through Estimator as Projected Wasserstein Gradient Flow.
CoRR
Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin
2019 J jnl
Towards Amortized Ranking-Critical Training for Collaborative Filtering.
CoRR
Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin
2019 A* conf
Twin Auxilary Classifiers GAN.
NeurIPS
Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich
2019 J jnl
Twin Auxiliary Classifiers GAN.
CoRR
Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich
2018 A* conf
Adversarial Time-to-Event Modeling.
ICML
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
2018 J jnl
Adversarial Time-to-Event Modeling.
CoRR
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
2018 — conf
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.
ACL (1)
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018 J jnl
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.
CoRR
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018 J jnl
Car-following behavior of connected vehicles in a mixed traffic flow: modeling and stability analysis.
CoRR
Lin Liu, Chunyuan Li, Yongfu Li, Srinivas Peeta, Lei Lin
2018 A* conf
Continuous-Time Flows for Efficient Inference and Density Estimation.
ICML
Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin
2018 J jnl
Generative Adversarial Network Training is a Continual Learning Problem.
CoRR
Kevin J. Liang, Chunyuan Li, Guoyin Wang, Lawrence Carin
2018 — conf
Joint Embedding of Words and Labels for Text Classification.
ACL (1)
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
2018 J jnl
Joint Embedding of Words and Labels for Text Classification.
CoRR
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
2018 A conf
Learning Structural Weight Uncertainty for Sequential Decision-Making.
AISTATS
Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
2018 J jnl
Learning Structural Weight Uncertainty for Sequential Decision-Making.
CoRR
Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
2018 J jnl
Localization of a high-speed train using a speed model based on the gradient descent algorithm.
Future Gener. Comput. Syst.
Liwen Ma, Jiaji Wu, Chunyuan Li
2018 — conf
Measuring the Intrinsic Dimension of Objective Landscapes.
ICLR (Poster)
Chunyuan Li, Heerad Farkhoor, Rosanne Liu, Jason Yosinski
2018 J jnl
Measuring the Intrinsic Dimension of Objective Landscapes.
CoRR
Chunyuan Li, Heerad Farkhoor, Rosanne Liu, Jason Yosinski
2018 A* conf
Policy Optimization as Wasserstein Gradient Flows.
ICML
Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
2018 J jnl
Policy Optimization as Wasserstein Gradient Flows.
CoRR
Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
2018 A conf
Symmetric Variational Autoencoder and Connections to Adversarial Learning.
AISTATS
Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin
2018 — —
Towards Better Representations with Deep/Bayesian Learning.
Chunyuan Li
2017 — conf
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching.
NIPS
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
2017 — conf
Adversarial Symmetric Variational Autoencoder.
NIPS
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
2017 J jnl
Adversarial Symmetric Variational Autoencoder.
CoRR
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
2017 A* conf
Learning Generic Sentence Representations Using Convolutional Neural Networks.
EMNLP
Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
2017 — conf
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.
ACL (1)
Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2017 J jnl
Stein Variational Autoencoder.
CoRR
Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin
2017 J jnl
Symmetric Variational Autoencoder and Connections to Adversarial Learning.
CoRR
Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin
2017 J jnl
Towards Understanding Adversarial Learning for Joint Distribution Matching.
CoRR
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
2017 — conf
Triangle Generative Adversarial Networks.
NIPS
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
2017 J jnl
Triangle Generative Adversarial Networks.
CoRR
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
2017 A* conf
Unsupervised Learning with Truncated Gaussian Graphical Models.
AAAI
Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin
2017 — conf
VAE Learning via Stein Variational Gradient Descent.
NIPS
Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin
2016 A conf
A Deep Generative Deconvolutional Image Model.
AISTATS
Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin
2016 A* conf
A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection.
AAAI
Kai Fan, Chunyuan Li, Katherine A. Heller
2016 J jnl
A spectral graph wavelet approach for nonrigid 3D shape retrieval.
Pattern Recognit. Lett.
Majid Masoumi, Chunyuan Li, A. Ben Hamza
2016 A* conf
Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks.
IJCAI
Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin
2016 A conf
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization.
AISTATS
Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin
2016 A* conf
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models.
AAAI
Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin
2016 A* conf
Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification.
CVPR
Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin
2016 A* conf
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks.
AAAI
Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin
2016 J jnl
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.
CoRR
Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2016 — conf
Stochastic Gradient MCMC with Stale Gradients.
NIPS
Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin
2016 J jnl
Stochastic Gradient MCMC with Stale Gradients.
CoRR
Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin
2016 J jnl
Unsupervised Learning of Sentence Representations using Convolutional Neural Networks.
CoRR
Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
2016 J jnl
Unsupervised Learning with Truncated Gaussian Graphical Models.
CoRR
Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin
2016 — conf
Variational Autoencoder for Deep Learning of Images, Labels and Captions.
NIPS
Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin
2016 J jnl
Variational Autoencoder for Deep Learning of Images, Labels and Captions.
CoRR
Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin
2015 J jnl
A Deep Generative Deconvolutional Image Model.
CoRR
Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin
2015 J jnl
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries.
Comput. Vis. Image Underst.
Bo Li, Yijuan Lu, Chunyuan Li, Afzal Godil, Tobias Schreck, Masaki Aono, Martin Burtscher, Qiang Chen, Nihad Karim Chowdhury, Bin Fang, Hongbo Fu, Takahiko Furuya, Haisheng Li, Jianzhuang Liu, Henry Johan, Ryuichi Kosaka, Hitoshi Koyanagi, Ryutarou Ohbuchi, Atsushi Tatsuma, Yajuan Wan, Chaoli Zhang, Changqing Zou
2015 J jnl
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization.
CoRR
Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin
2015 — conf
Deep Temporal Sigmoid Belief Networks for Sequence Modeling.
NIPS
Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin
2015 J jnl
Deep Temporal Sigmoid Belief Networks for Sequence Modeling.
CoRR
Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin
2014 — conf
Automatic Location of Landmarks used in Manual Anthropometry.
3DOR@Eurographics
Andrea Giachetti, E. Mazzi, Francesco Piscitelli, Masaki Aono, A. Ben Hamza, Thomas Bonis, Peter Claes, Afzal Godil, Chunyuan Li, Maks Ovsjanikov, Viorica Patraucean, Chang Shu, J. Snyders, Paul Suetens, Atsushi Tatsuma, Dirk Vandermeulen, Stefanie Wuhrer, Pengcheng Xi
2014 J jnl
Online redundant image elimination and its application to wireless capsule endoscopy.
Signal Image Video Process.
Chunyuan Li, A. Ben Hamza, Nizar Bouguila, Xinhong Wang, Fanhua Ming, Guohua Xiao
2014 A* conf
Persistence-Based Structural Recognition.
CVPR
Chunyuan Li, Maks Ovsjanikov, Frédéric Chazal
2014 J jnl
Spatially aggregating spectral descriptors for nonrigid 3D shape retrieval: a comparative survey.
Multim. Syst.
Chunyuan Li, A. Ben Hamza
2014 J jnl
Symmetry discovery and retrieval of nonrigid 3D shapes using geodesic skeleton paths.
Multim. Tools Appl.
Chunyuan Li, A. Ben Hamza
2013 J jnl
A multiresolution descriptor for deformable 3D shape retrieval.
Vis. Comput.
Chunyuan Li, A. Ben Hamza
2013 J jnl
Intrinsic spatial pyramid matching for deformable 3D shape retrieval.
Int. J. Multim. Inf. Retr.
Chunyuan Li, A. Ben Hamza
2012 J jnl
Fast shape retrieval using a graph theoretic approach.
Int. J. Multim. Inf. Retr.
Chunyuan Li, A. Ben Hamza
2011 — conf
Fast Shape Re-ranking with Neighborhood Induced Similarity Measure.
CAIP (1)
Chunyuan Li, Changxin Gao, Sirui Xing, Abdessamad Ben Hamza
2011 A* conf
Minimum near-convex decomposition for robust shape representation.
ICCV
Zhou Ren, Junsong Yuan, Chunyuan Li, Wenyu Liu
2011 J jnl
Research on the Message-Oriented Middleware for Wireless Sensor Networks.
J. Comput.
LiFang Zhai, Chunyuan Li, Liping Sun
2011 C conf
Skeleton Path Based Approach for Nonrigid 3D Shape Analysis and Retrieval.
IWCIA
Chunyuan Li, A. Ben Hamza