Chen, Liqun

26 publications

CVPR 2025 A Physics-Informed Blur Learning Framework for Imaging Systems Liqun Chen, Yuxuan Li, Jun Dai, Jinwei Gu, Tianfan Xue

AAAI 2025 DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes Yiyuan Liang, Zhiying Yan, Liqun Chen, Jiahuan Zhou, Luxin Yan, Sheng Zhong, Xu Zou

ICLR 2025 High-Dimension Prototype Is a Better Incremental Object Detection Learner Yanjie Wang, Liqun Chen, Tianming Zhao, Tao Zhang, Guodong Wang, Luxin Yan, Sheng Zhong, Jiahuan Zhou, Xu Zou

AAAI 2024 Make Lossy Compression Meaningful for Low-Light Images Shilv Cai, Liqun Chen, Sheng Zhong, Luxin Yan, Jiahuan Zhou, Xu Zou

CVPR 2023 Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi

CVPR 2022 Multi-Modal Alignment Using Representation Codebook Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi

CVPR 2022 Vision-Language Pre-Training with Triple Contrastive Learning Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang

NeurIPS 2022 Why Do We Need Large Batchsizes in Contrastive Learning? a Gradient-Bias Perspective Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi

CVPR 2021 Wasserstein Contrastive Representation Distillation Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin

AAAI 2020 Dynamic Embedding on Textual Networks via a Gaussian Process Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin

ICML 2020 Graph Optimal Transport for Cross-Domain Alignment Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu

AAAI 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

AAAI 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin

ICLR 2019 Improving Sequence-to-Sequence Learning via Optimal Transport Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin

NeurIPS 2019 Improving Textual Network Learning with Variational Homophilic Embeddings Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin

NeurIPS 2019 On Fenchel Mini-Max Learning Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy Bobashev, Lawrence Carin

ICML 2019 Variational Annealing of GANs: A Langevin Perspective Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy Bobashev, Lawrence Carin Duke

UAI 2018 A Unified Particle-Optimization Framework for Scalable Bayesian Sampling Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen

NeurIPS 2018 Adversarial Text Generation via Feature-Mover's Distance Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin

ICML 2018 Chi-Square Generative Adversarial Network Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin Duke

ICML 2018 Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen, Chunyuan Li, Liqun Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin Duke

AISTATS 2018 Symmetric Variational Autoencoder and Connections to Adversarial Learning Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin

ICML 2018 Variational Inference and Model Selection with Generalized Evidence Bounds Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin Duke

NeurIPS 2017 ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li, Hao Liu, Changyou Chen, Yuchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

NeurIPS 2017 Adversarial Symmetric Variational Autoencoder Yuchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin

NeurIPS 2017 Triangle Generative Adversarial Networks Zhe Gan, Liqun Chen, Weiyao Wang, Yuchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin