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Securing emergent behaviour in swarm robotics


Feb 05, 2021
Liqun Chen, Siaw-Lynn Ng

* Submitted 

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Wasserstein Contrastive Representation Distillation


Dec 15, 2020
Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin


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Improving Text Generation with Student-Forcing Optimal Transport


Oct 12, 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

* To appear at EMNLP 2020 

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Contextualized Perturbation for Textual Adversarial Attack


Sep 16, 2020
Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan


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Weakly supervised cross-domain alignment with optimal transport


Aug 14, 2020
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

* Accepted to BMVC 2020 (Oral) 

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Graph Optimal Transport for Cross-Domain Alignment


Jun 29, 2020
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu

* ICML 2020 

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Graph-Driven Generative Models for Heterogeneous Multi-Task Learning


Nov 20, 2019
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

* Accepted by AAAI-2020 

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Improving Textual Network Learning with Variational Homophilic Embeddings


Sep 30, 2019
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin

* Accepted to NeurIPS 2019 

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LMVP: Video Predictor with Leaked Motion Information


Jun 24, 2019
Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin


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Improving Textual Network Embedding with Global Attention via Optimal Transport


Jun 05, 2019
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin


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Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models


Feb 01, 2019
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin


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Improving Sequence-to-Sequence Learning via Optimal Transport


Jan 18, 2019
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin


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Sequence Generation with Guider Network


Nov 02, 2018
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin


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Adversarial Text Generation via Feature-Mover's Distance


Sep 17, 2018
Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin


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Continuous-Time Flows for Efficient Inference and Density Estimation


Aug 01, 2018
Changyou Chen, Chunyuan Li, Liqun Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin

* ICML 2018 (fixed a reference) 

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A Unified Particle-Optimization Framework for Scalable Bayesian Sampling


Jul 10, 2018
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen

* UAI 2018 

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Triangle Generative Adversarial Networks


Nov 18, 2017
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin

* To appear in NIPS 2017 

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Adversarial Symmetric Variational Autoencoder


Nov 18, 2017
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin

* Accepted to NIPS 2017 

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ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching


Nov 05, 2017
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

* NIPS 2017 (22 pages); short version (9 pages): http://people.duke.edu/~cl319/doc/papers/nips_2017_alice.pdf 

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Symmetric Variational Autoencoder and Connections to Adversarial Learning


Oct 19, 2017
Liqun Chen, Shuyang Dai, Yunchen Pu, Chunyuan Li, Qinliang Su, Lawrence Carin


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