Liqun Chen - RankMe

52 papers A* 15A 3Journal 23Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Proactive Pseudo-Intervention: Pre-informed Contrastive Learning For Interpretable Vision Models. AAAI Bridge Program Dong Wang, Yuewei Yang, Liqun Chen, Zhe Gan, Ricardo Henao, Lawrence Carin
2024	J	`jnl`	Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin
2023	A*	`conf`	Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. CVPR Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	J	`jnl`	Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning. CoRR Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022	A*	`conf`	Multi-modal Alignment using Representation Codebook. CVPR Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022	J	`jnl`	Multi-modal Alignment using Representation Codebook. CoRR Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022	A*	`conf`	Vision-Language Pre-Training with Triple Contrastive Learning. CVPR Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang
2022	J	`jnl`	Vision-Language Pre-Training with Triple Contrastive Learning. CoRR Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang
2022	A*	`conf`	Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. NeurIPS Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi
2021	—	`conf`	Contextualized Perturbation for Textual Adversarial Attack. NAACL-HLT Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan
2021	—	`—`	Learning deep models via optimal transport distance. Liqun Chen
2021	J	`jnl`	Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao
2021	—	`conf`	SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin
2021	A*	`conf`	Wasserstein Contrastive Representation Distillation. CVPR Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin
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	J	`jnl`	Contextualized Perturbation for Textual Adversarial Attack. CoRR Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan
2020	A*	`conf`	Dynamic Embedding on Textual Networks via a Gaussian Process. AAAI Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin
2020	A*	`conf`	Graph Optimal Transport for Cross-Domain Alignment. ICML Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
2020	J	`jnl`	Graph Optimal Transport for Cross-Domain Alignment. CoRR Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
2020	A*	`conf`	Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
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	A*	`conf`	Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
2020	J	`jnl`	Wasserstein Contrastive Representation Distillation. CoRR Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin
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	J	`jnl`	Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
2019	—	`conf`	Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	—	`conf`	Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
2019	J	`jnl`	Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
2019	A*	`conf`	Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	LMVP: Video Predictor with Leaked Motion Information. CoRR Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin
2019	A*	`conf`	On Fenchel Mini-Max Learning. NeurIPS Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin
2019	—	`conf`	Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL (1) Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin
2019	J	`jnl`	Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. CoRR Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin
2019	A*	`conf`	Variational Annealing of GANs: A Langevin Perspective. ICML Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin
2018	A	`conf`	A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
2018	J	`jnl`	A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
2018	A*	`conf`	Adversarial Text Generation via Feature-Mover's Distance. NeurIPS Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin
2018	J	`jnl`	Adversarial Text Generation via Feature-Mover's Distance. CoRR Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin
2018	A*	`conf`	Chi-square Generative Adversarial Network. ICML Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin
2018	J	`jnl`	Sequence Generation with Guider Network. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, 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	A*	`conf`	Variational Inference and Model Selection with Generalized Evidence Bounds. ICML Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin
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	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