Triangle Generative Adversarial Networks. - Zhe Gan; Liqun Chen 001; Weiyao Wang 002; Yunchen Pu; Yizhe Zhang 002; Hao Liu 015; Chunyuan Li; Lawrence Carin (NIPS, 2017)

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. - Chunyuan Li; Hao Liu 015; Changyou Chen; Yunchen Pu; Liqun Chen 001; Ricardo Henao; Lawrence Carin (NIPS, 2017)

Adversarial Symmetric Variational Autoencoder. - Yunchen Pu; Weiyao Wang 002; Ricardo Henao; Liqun Chen 001; Zhe Gan; Chunyuan Li; Lawrence Carin (NIPS, 2017)

Towards Understanding Adversarial Learning for Joint Distribution Matching. - Chunyuan Li; Hao Liu 015; Changyou Chen; Yunchen Pu; Liqun Chen 001; Ricardo Henao; Lawrence Carin (CoRR, 2017)

Symmetric Variational Autoencoder and Connections to Adversarial Learning. - Yunchen Pu; Liqun Chen 001; Shuyang Dai; Weiyao Wang 002; Chunyuan Li; Lawrence Carin (CoRR, 2017)

Symmetric Variational Autoencoder and Connections to Adversarial Learning. - Liqun Chen 001; Shuyang Dai; Yunchen Pu; Erjin Zhou; Chunyuan Li; Qinliang Su; Changyou Chen; Lawrence Carin (AISTATS, 2018)

Variational Inference and Model Selection with Generalized Evidence Bounds. - Liqun Chen 001; Chenyang Tao; Ruiyi Zhang 002; Ricardo Henao; Lawrence Carin (ICML, 2018)

Chi-square Generative Adversarial Network. - Chenyang Tao; Liqun Chen 001; Ricardo Henao; Jianfeng Feng; Lawrence Carin (ICML, 2018)

Adversarial Text Generation via Feature-Mover's Distance. - Liqun Chen 001; Shuyang Dai; Chenyang Tao; Haichao Zhang; Zhe Gan; Dinghan Shen; Yizhe Zhang 002; Guoyin Wang 002; Ruiyi Zhang 002; Lawrence Carin (NeurIPS, 2018)

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. - Changyou Chen; Ruiyi Zhang 002; Wenlin Wang; Bai Li 001; Liqun Chen 001 (UAI, 2018)

Adversarial Text Generation via Feature-Mover's Distance. - Liqun Chen 001; Shuyang Dai; Chenyang Tao; Dinghan Shen; Zhe Gan; Haichao Zhang; Yizhe Zhang 002; Lawrence Carin (CoRR, 2018)

Sequence Generation with Guider Network. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Liqun Chen 001; Dinghan Shen; Guoyin Wang 002; Lawrence Carin (CoRR, 2018)

Improving Textual Network Embedding with Global Attention via Optimal Transport. - Liqun Chen 001; Guoyin Wang 002; Chenyang Tao; Dinghan Shen; Pengyu Cheng; Xinyuan Zhang 001; Wenlin Wang; Yizhe Zhang 002; Lawrence Carin (ACL (1), 2019)

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. - Dinghan Shen; Asli Celikyilmaz; Yizhe Zhang 002; Liqun Chen 001; Xin Wang 061; Jianfeng Gao 001; Lawrence Carin (ACL (1), 2019)

Improving Sequence-to-Sequence Learning via Optimal Transport. - Liqun Chen 001; Yizhe Zhang 002; Ruiyi Zhang 002; Chenyang Tao; Zhe Gan; Haichao Zhang; Bai Li 001; Dinghan Shen; Changyou Chen; Lawrence Carin (ICLR (Poster), 2019)

Variational Annealing of GANs: A Langevin Perspective. - Chenyang Tao; Shuyang Dai; Liqun Chen 001; Ke Bai 001; Junya Chen; Chang Liu 030; Ruiyi Zhang 002; Georgiy V. Bobashev; Lawrence Carin (ICML, 2019)

On Fenchel Mini-Max Learning. - Chenyang Tao; Liqun Chen 001; Shuyang Dai; Junya Chen; Ke Bai 001; Dong Wang 037; Jianfeng Feng; Wenlian Lu; Georgiy V. Bobashev; Lawrence Carin (NeurIPS, 2019)

Improving Textual Network Learning with Variational Homophilic Embeddings. - Wenlin Wang; Chenyang Tao; Zhe Gan; Guoyin Wang 002; Liqun Chen 001; Xinyuan Zhang 001; Ruiyi Zhang 002; Qian Yang 003; Ricardo Henao; Lawrence Carin (NeurIPS, 2019)

LMVP: Video Predictor with Leaked Motion Information. - Dong Wang 037; Yitong Li 001; Wei Cao 007; Liqun Chen 001; Qi Wei; Lawrence Carin (CoRR, 2019)

Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. - Liqun Chen 001; Ke Bai 001; Chenyang Tao; Yizhe Zhang 002; Guoyin Wang 002; Wenlin Wang; Ricardo Henao; Lawrence Carin (AAAI, 2020)

Dynamic Embedding on Textual Networks via a Gaussian Process. - Pengyu Cheng; Yitong Li 001; Xinyuan Zhang 001; Liqun Chen 001; David E. Carlson; Lawrence Carin (AAAI, 2020)

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. - Wenlin Wang; Hongteng Xu; Zhe Gan; Bai Li 001; Guoyin Wang 002; Liqun Chen 001; Qian Yang 003; Wenqi Wang 001; Lawrence Carin (AAAI, 2020)

Advancing weakly supervised cross-domain alignment with optimal transport. - Siyang Yuan; Ke Bai 001; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Chunyuan Li; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (BMVC, 2020)

Improving Text Generation with Student-Forcing Optimal Transport. - Jianqiao Li; Chunyuan Li; Guoyin Wang 002; Hao Fu 002; Yuh-Chen Lin; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Ruiyi Zhang 002; Wenlin Wang; Dinghan Shen; Qian Yang 003; et al. (EMNLP (1), 2020)

Graph Optimal Transport for Cross-Domain Alignment. - Liqun Chen 001; Zhe Gan; Yu Cheng 001; Linjie Li; Lawrence Carin; Jingjing Liu 001 (ICML, 2020)

Weakly supervised cross-domain alignment with optimal transport. - Siyang Yuan; Ke Bai 001; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Chunyuan Li; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (CoRR, 2020)

Wasserstein Contrastive Representation Distillation. - Liqun Chen 001; Dong Wang 037; Zhe Gan; Jingjing Liu 001; Ricardo Henao; Lawrence Carin (CVPR, 2021)

Contextualized Perturbation for Textual Adversarial Attack. - Dianqi Li; Yizhe Zhang 002; Hao Peng 009; Liqun Chen 001; Chris Brockett; Ming-Ting Sun; Bill Dolan (NAACL-HLT, 2021)

SpanPredict: Extraction of Predictive Document Spans with Neural Attention. - Vivek Subramanian; Matthew Engelhard; Samuel Berchuck; Liqun Chen 001; Ricardo Henao; Lawrence Carin (NAACL-HLT, 2021)

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. - Junya Chen; Zhe Gan; Xuan Li; Qing Guo; Liqun Chen 001; Shuyang Gao; Tagyoung Chung; Yi Xu 011; Belinda Zeng; Wenlian Lu; Fan Li; Lawrence Carin; et al. (CoRR, 2021)

Learning deep models via optimal transport distance. - Liqun Chen 001 (2021)

Multi-modal Alignment using Representation Codebook. - Jiali Duan; Liqun Chen 001; Son Tran; Jinyu Yang; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2022)

Vision-Language Pre-Training with Triple Contrastive Learning. - Jinyu Yang; Jiali Duan; Son Tran; Yi Xu 011; Sampath Chanda; Liqun Chen 001; Belinda Zeng; Trishul Chilimbi; Junzhou Huang (CVPR, 2022)

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. - Changyou Chen; Jianyi Zhang; Yi Xu 011; Liqun Chen 001; Jiali Duan; Yiran Chen 001; Son Tran; Belinda Zeng; Trishul Chilimbi (NeurIPS, 2022)

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. - Qian Jiang; Changyou Chen; Han Zhao 002; Liqun Chen 001; Qing Ping; Son Dinh Tran; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2023)

Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. - Hao Zhang 050; Yulai Cong; Zhengjue Wang; Lei Zhang; Miaoyun Zhao; Liqun Chen 001; Shijing Si; Ricardo Henao; Lawrence Carin (IEEE Trans. Neural Networks Learn. Syst., 2024)