Liqun Chen

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 39

Top Topics

Text Generation

Hyperparameters

Latent Variable Models

Variational Inference

Top Venues

Publications

Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin
SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT (2021)
Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin
Wasserstein Contrastive Representation Distillation. CVPR (2021)
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
Graph Optimal Transport for Cross-Domain Alignment. CoRR (2020)
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
Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) (2020)
Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin
Dynamic Embedding on Textual Networks via a Gaussian Process. AAAI (2020)
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
Improving Text Generation with Student-Forcing Optimal Transport. CoRR (2020)
Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin
Wasserstein Contrastive Representation Distillation. CoRR (2020)
Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI (2020)
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Advancing weakly supervised cross-domain alignment with optimal transport. BMVC (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Weakly supervised cross-domain alignment with optimal transport. CoRR (2020)
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
Graph Optimal Transport for Cross-Domain Alignment. ICML (2020)
Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin
Variational Annealing of GANs: A Langevin Perspective. ICML (2019)
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS (2019)
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR (2019)
Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin
On Fenchel Mini-Max Learning. NeurIPS (2019)
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR (2019)
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) (2019)
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. CoRR (2019)
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL (1) (2019)
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR (2019)
Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin
LMVP: Video Predictor with Leaked Motion Information. CoRR (2019)
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) (2019)
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR (2019)
Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin
Adversarial Text Generation via Feature-Mover's Distance. NeurIPS (2018)
Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin
Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS (2018)
Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin
Variational Inference and Model Selection with Generalized Evidence Bounds. ICML (2018)
Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin
Chi-square Generative Adversarial Network. ICML (2018)
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR (2018)
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI (2018)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin
Sequence Generation with Guider Network. CoRR (2018)
Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin
Adversarial Text Generation via Feature-Mover's Distance. CoRR (2018)
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
Adversarial Symmetric Variational Autoencoder. NIPS (2017)
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR (2017)
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
Adversarial Symmetric Variational Autoencoder. CoRR (2017)
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. NIPS (2017)
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
Triangle Generative Adversarial Networks. CoRR (2017)
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
Triangle Generative Adversarial Networks. NIPS (2017)
Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin
Symmetric Variational Autoencoder and Connections to Adversarial Learning. CoRR (2017)