Chunyuan Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
80
Venues
18
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
80 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Graphic Design with Large Multimodal Model. | Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao |
| 2025 | CVPR | LLaVA-Critic: Learning to Evaluate Multimodal Models. | Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li |
| 2025 | CVPR | Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model. | Lu Xu, Sijie Zhu, Chunyuan Li, Chia-Wen Kuo, Fan Chen, Xinyao Wang, Guang Chen, Dawei Du, Ye Yuan, Longyin Wen |
| 2025 | ICLR | MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines. | 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 | ICLR | LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models. | Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li |
| 2025 | ICLR | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | 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 | ICLR | Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning. | Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, Haoqi Fan |
| 2025 | NAACL | Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. | Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander G. Hauptmann, Yonatan Bisk, Yiming Yang |
| 2025 | NAACL | LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models. | Kaichen Zhang, Bo Li, Peiyuan Zhang, Fanyi Pu, Joshua Adrian Cahyono, Kairui Hu, Shuai Liu, Yuanhan Zhang, Jingkang Yang, Chunyuan Li, Ziwei Liu |
| 2024 | ACL | Aligning Large Multimodal Models with Factually Augmented RLHF. | 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 | CVPR | Visual in-Context Prompting. | Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao |
| 2024 | CVPR | Improved Baselines with Visual Instruction Tuning. | Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee |
| 2024 | ECCV | LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. | 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 | ECCV | Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection. | 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 | ECCV | Segment and Recognize Anything at Any Granularity. | Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao |
| 2024 | ECCV | LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. | Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Leizhang, Chunyuan Li, Jainwei Yang |
| 2024 | ICASSP | Towards Building The Federatedgpt: Federated Instruction Tuning. | Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen |
| 2024 | ICLR | MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. | Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | 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 |
| 2023 | AAAI | Parameter-Efficient Model Adaptation for Vision Transformers. | Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang |
| 2023 | CVPR | GLIGEN: Open-Set Grounded Text-to-Image Generation. | Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee |
| 2023 | CVPR | Learning Customized Visual Models with Retrieval-Augmented Knowledge. | Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li |
| 2023 | CVPR | Generalized Decoding for Pixel, Image, and Language. | 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 | EMNLP | Scaling Vision-Language Models with Sparse Mixture of Experts. | Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He |
| 2023 | ICCV | A Simple Framework for Open-Vocabulary Segmentation and Detection. | Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang |
| 2022 | CVPR | Grounded Language-Image Pre-training. | 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 | CVPR | Unified Contrastive Learning in Image-Text-Label Space. | Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao |
| 2022 | CVPR | RegionCLIP: Region-based Language-Image Pretraining. | Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao |
| 2022 | CVPR | Towards Language-Free Training for Text-to-Image Generation. | Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun |
| 2022 | ICDM | STT: Soft Template Tuning for Few-Shot Adaptation. | Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen |
| 2022 | ICLR | Efficient Self-supervised Vision Transformers for Representation Learning. | Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao |
| 2022 | ICPR | Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. | Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang |
| 2021 | AAAI | Hierarchical Graph Capsule Network. | Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang |
| 2021 | ACL | RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. | Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao |
| 2021 | CVPR | Partition-Guided GANs. | Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou |
| 2021 | CVPR | ReMP: Rectified Metric Propagation for Few-Shot Learning. | Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen |
| 2021 | EMNLP | Few-Shot Named Entity Recognition: An Empirical Baseline Study. | Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han |
| 2021 | EMNLP | Rethinking Sentiment Style Transfer. | Ping Yu, Yang Zhao, Chunyuan Li, Changyou Chen |
| 2021 | ICCV | Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. | Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang |
| 2021 | WWW | Leveraging User Behavior History for Personalized Email Search. | Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun |
| 2020 | AAAI | Complementary Auxiliary Classifiers for Label-Conditional Text Generation. | Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao |
| 2020 | BMVC | Advancing weakly supervised cross-domain alignment with optimal transport. | Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin |
| 2020 | CVPR | Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. | Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao |
| 2020 | ECCV | Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. | 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 | ECCV | Structure-Aware Human-Action Generation. | Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen |
| 2020 | EMNLP | Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. | Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen |
| 2020 | EMNLP | Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. | Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao |
| 2020 | EMNLP | Improving Text Generation with Student-Forcing Optimal Transport. | 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 | EMNLP | Few-shot Natural Language Generation for Task-Oriented Dialog. | Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao |
| 2020 | EMNLP | POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. | Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan |
| 2020 | ICLR | RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. | Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin |
| 2020 | ICLR | Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. | Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson |
| 2020 | ICML | Feature Quantization Improves GAN Training. | Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen |
| 2019 | AAAI | Communication-Efficient Stochastic Gradient MCMC for Neural Networks. | Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin |
| 2019 | AISTATS | Adversarial Learning of a Sampler Based on an Unnormalized Distribution. | Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin |
| 2019 | EMNLP | Implicit Deep Latent Variable Models for Text Generation. | Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen |
| 2019 | EMNLP | Robust Navigation with Language Pretraining and Stochastic Sampling. | Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi |
| 2019 | NAACL | Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. | Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin |
| 2018 | ACL | Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. | Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin |
| 2018 | ACL | Joint Embedding of Words and Labels for Text Classification. | Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin |
| 2018 | AISTATS | Symmetric Variational Autoencoder and Connections to Adversarial Learning. | Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin |
| 2018 | AISTATS | Learning Structural Weight Uncertainty for Sequential Decision-Making. | Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin |
| 2018 | ICLR | Measuring the Intrinsic Dimension of Objective Landscapes. | Chunyuan Li, Heerad Farkhoor, Rosanne Liu, Jason Yosinski |
| 2018 | ICML | Adversarial Time-to-Event Modeling. | Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao |
| 2018 | ICML | Continuous-Time Flows for Efficient Inference and Density Estimation. | Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin |
| 2018 | ICML | Policy Optimization as Wasserstein Gradient Flows. | Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin |
| 2017 | AAAI | Unsupervised Learning with Truncated Gaussian Graphical Models. | Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin |
| 2017 | ACL | Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. | Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin |
| 2017 | EMNLP | Learning Generic Sentence Representations Using Convolutional Neural Networks. | Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin |
| 2016 | AAAI | A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection. | Kai Fan, Chunyuan Li, Katherine A. Heller |
| 2016 | AAAI | Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks. | Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin |
| 2016 | AAAI | High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. | Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin |
| 2016 | AISTATS | Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. | Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin |
| 2016 | AISTATS | A Deep Generative Deconvolutional Image Model. | Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin |
| 2016 | CVPR | Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. | Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin |
| 2016 | IJCAI | Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks. | Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin |
| 2014 | CVPR | Persistence-Based Structural Recognition. | Chunyuan Li, Maks Ovsjanikov, Frdric Chazal |
| 2011 | CAIP | Fast Shape Re-ranking with Neighborhood Induced Similarity Measure. | Chunyuan Li, Changxin Gao, Sirui Xing, Abdessamad Ben Hamza |
| 2011 | ICCV | Minimum near-convex decomposition for robust shape representation. | Zhou Ren, Junsong Yuan, Chunyuan Li, Wenyu Liu |
| 2011 | IWCIA | Skeleton Path Based Approach for Nonrigid 3D Shape Analysis and Retrieval. | Chunyuan Li, A. Ben Hamza |