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JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu


Jun 03, 2021
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong

* Accepted to SIGKDD 2021 applied data science track 

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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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Improving Adversarial Text Generation by Modeling the Distant Future


May 04, 2020
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin

* ACL 2020. arXiv admin note: substantial text overlap with arXiv:1811.00696 

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Nested-Wasserstein Self-Imitation Learning for Sequence Generation


Jan 20, 2020
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin

* Accepted by AISTATS2020 

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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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Collaborative Filtering with A Synthetic Feedback Loop


Oct 21, 2019
Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin


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An Optimal Transport Framework for Zero-Shot Learning


Oct 20, 2019
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin


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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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Ouroboros: On Accelerating Training of Transformer-Based Language Models


Sep 14, 2019
Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin

* To appear in the proceedings of Neural Information Processing Systems Conference (2019) 

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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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On Norm-Agnostic Robustness of Adversarial Training


May 15, 2019
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin

* 4 pages, 2 figures, presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning. arXiv admin note: text overlap with arXiv:1809.03113 

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Topic-Guided Variational Autoencoders for Text Generation


Mar 17, 2019
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, 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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Distilled Wasserstein Learning for Word Embedding and Topic Modeling


Sep 12, 2018
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin


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Second-Order Adversarial Attack and Certifiable Robustness


Sep 10, 2018
Bai Li, Changyou Chen, Wenlin Wang, 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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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms


May 24, 2018
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

* To appear at ACL 2018 (code: https://github.com/dinghanshen/SWEM

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NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing


May 14, 2018
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

* To appear at ACL 2018 

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Joint Embedding of Words and Labels for Text Classification


May 10, 2018
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

* Published in ACL 2018; Code: https://github.com/guoyinwang/LEAM 

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Topic Compositional Neural Language Model


Feb 26, 2018
Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin

* To appear in AISTATS 2018, updated version 

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Wide Compression: Tensor Ring Nets


Feb 25, 2018
Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal

* Accepted to CVPR 2018 

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InverseNet: Solving Inverse Problems with Splitting Networks


Dec 01, 2017
Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine Heller


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Zero-Shot Learning via Class-Conditioned Deep Generative Models


Nov 19, 2017
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

* To appear in AAAI 2018 

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A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC


Sep 04, 2017
Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin


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Earliness-Aware Deep Convolutional Networks for Early Time Series Classification


Nov 14, 2016
Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin


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