Wen-Lin Wang

Most-cited papers

Joint Embedding of Words and Labels for Text Classification
Guoyin Wang, Chunyuan Li, Wen-Lin Wang, Yizhe Zhang +4 more
2018Annual Meeting of the Association for Computational Linguistics433 citations Open access
Semantic Scholar
Certified Adversarial Robustness with Additive Noise
Bai Li, Chang-You Chen, Wen-Lin Wang, L. Carin
2018Neural Information Processing Systems401 citations
Semantic Scholar
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Dinghan Shen, Guoyin Wang, Wen-Lin Wang, Martin Renqiang Min +5 more
2018Annual Meeting of the Association for Computational Linguistics363 citations Open access
Semantic Scholar
Wide Compression: Tensor Ring Nets
V. Aggarwal, Wen-Lin Wang, Brian Eriksson, Yifan Sun +1 more
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition189 citations
Semantic Scholar
Zero-Shot Learning via Class-Conditioned Deep Generative Models
Wen-Lin Wang, Yunchen Pu, V. Verma, Kai Fan +4 more
2017AAAI Conference on Artificial Intelligence154 citations Open access
Semantic Scholar
Topic-Guided Variational Auto-Encoder for Text Generation
Wen-Lin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang +4 more
2019North American Chapter of the Association for Computational Linguistics135 citations Open access
Semantic Scholar
Second-Order Adversarial Attack and Certifiable Robustness
Bai Li, Chang-You Chen, Wen-Lin Wang, L. Carin
2018arXiv.org125 citations
Semantic Scholar
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
Chang-You Chen, Ruiyi Zhang, Wen-Lin Wang, Bai Li +1 more
2018Conference on Uncertainty in Artificial Intelligence93 citations
Semantic Scholar
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu, Wen-Lin Wang, W. Liu, L. Carin
2018Neural Information Processing Systems91 citations
Semantic Scholar
Topic Compositional Neural Language Model
Wen-Lin Wang, Zhe Gan, Wen-Qi Wang, Dinghan Shen +4 more
2017International Conference on Artificial Intelligence and Statistics84 citations
Semantic Scholar
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
Dinghan Shen, Qin-Liang Su, Paidamoyo Chapfuwa, Wen-Lin Wang +3 more
2018Annual Meeting of the Association for Computational Linguistics65 citations Open access
Semantic Scholar
Continuous-Time Flows for Efficient Inference and Density Estimation
Chang-You Chen, Chunyuan Li, Liquan Chen, Wen-Lin Wang +2 more
2017International Conference on Machine Learning63 citations
Semantic Scholar
Review of reinforcement learning research
Jing-Kai Jia, Wen-Lin Wang
2020Youth Academic Annual Conference of Chinese Association of Automation51 citations
Semantic Scholar
An End-to-End Generative Architecture for Paraphrase Generation
Qian Yang, Zhou-Yuan Huo, Dinghan Shen, Yong Cheng +3 more
2019Conference on Empirical Methods in Natural Language Processing35 citations Open access
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Earliness-Aware Deep Convolutional Networks for Early Time Series Classification
Wen-Lin Wang, Chang-You Chen, Wen-Qi Wang, Piyush Rai +1 more
2016arXiv.org34 citations
Semantic Scholar
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu
Hao Liu, Qian Gao, Jiang Li, X. Liao +8 more
2021Knowledge Discovery and Data Mining29 citations Open access
Semantic Scholar
A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC
Chang-You Chen, Wen-Lin Wang, Yizhe Zhang, Qin-Liang Su +1 more
2017Science China Information Sciences28 citations Open access
Semantic Scholar
Improving Textual Network Embedding with Global Attention via Optimal Transport
Li-Qun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen +5 more
2019Annual Meeting of the Association for Computational Linguistics23 citations Open access
Semantic Scholar
Improving Text Generation with Student-Forcing Optimal Transport
Jian-Qiao Li, Chunyuan Li, Guoyin Wang, Hao Fu +9 more
2020Conference on Empirical Methods in Natural Language Processing18 citations Open access
Semantic Scholar
Improving Textual Network Learning with Variational Homophilic Embeddings
Wen-Lin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang +6 more
2019Neural Information Processing Systems17 citations
Semantic Scholar
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
Li-Qun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang +4 more
2020AAAI Conference on Artificial Intelligence15 citations Open access
Semantic Scholar
Improving Adversarial Text Generation by Modeling the Distant Future
Ruiyi Zhang, Chang-You Chen, Zhe Gan, Wen-Lin Wang +4 more
2020Annual Meeting of the Association for Computational Linguistics14 citations Open access
Semantic Scholar
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
Wen-Lin Wang, Hongteng Xu, Zhe Gan, Bai Li +5 more
2019AAAI Conference on Artificial Intelligence14 citations Open access
Semantic Scholar
Certified Adversarial Robustness with Additive Gaussian Noise
Bai Li, Chang-You Chen, Wen-Lin Wang, L. Carin
201814 citations
Semantic Scholar
Deep Metric Learning with Data Summarization
Wen-Lin Wang, Chang-You Chen, Wen-Lin Chen, Piyush Rai +1 more
2016ECML/PKDD13 citations
Semantic Scholar
Zero-Shot Recognition via Optimal Transport
Wen-Lin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang +1 more
2021IEEE Workshop/Winter Conference on Applications of Computer Vision11 citations Open access
Semantic Scholar
Learning to Recommend from Sparse Data via Generative User Feedback
Wen-Lin Wang
2021AAAI Conference on Artificial Intelligence11 citations Open access
Semantic Scholar
Continuous-Time Flows for Deep Generative Models
Chang-You Chen, Chunyuan Li, Li-Qun Chen, Wen-Lin Wang +2 more
201710 citations
Semantic Scholar
Ouroboros: On Accelerating Training of Transformer-Based Language Models
Qian Yang, Zhou-Yuan Huo, Wen-Lin Wang, Heng Huang +1 more
2019Neural Information Processing Systems9 citations
Semantic Scholar
On the Use of Word Embeddings Alone to Represent Natural Language Sequences
Dinghan Shen, Guoyin Wang, Wen-Lin Wang, Martin Renqiang Min +4 more
20189 citations
Semantic Scholar
On Norm-Agnostic Robustness of Adversarial Training
Bai Li, Chang-You Chen, Wen-Lin Wang, L. Carin
2019arXiv.org8 citations
Semantic Scholar
InverseNet: Solving Inverse Problems with Splitting Networks
Kai Fan, Qi Wei, Wen-Lin Wang, Amit Chakraborty +1 more
2017arXiv.org8 citations
Semantic Scholar
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
Ruiyi Zhang, Chang-You Chen, Zhe Gan, Zheng Wen +2 more
2020International Conference on Artificial Intelligence and Statistics7 citations
Semantic Scholar
Sequence Generation with Guider Network
Ruiyi Zhang, Chang-You Chen, Zhe Gan, Wen-Lin Wang +4 more
2018arXiv.org4 citations
Semantic Scholar
Deep Distance Metric Learning with Data Summarization
Wen-Lin Wang, Chang-You Chen, Wen-Lin Chen, Piyush Rai +1 more
20163 citations
Semantic Scholar
InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks
Qi Wei, Kai Fan, Wen-Lin Wang, T. Zheng +4 more
2019IEEE International Conference on Multimedia and Expo2 citations
Semantic Scholar
An Optimal Transport Framework for Zero-Shot Learning
Wen-Lin Wang, Hongteng Xu, Guoyin Wang, Wen-Qi Wang +1 more
2019arXiv.org2 citations
Semantic Scholar
Certified Adversarial Robustness with Addition Gaussian Noise
Bai Li, Changyou Chen, Wen-Lin Wang, L. Carin
2019Neural Information Processing Systems1 citations
Semantic Scholar
Nested-Wasserstein Distance for Sequence Generation
Ruiyi Zhang, Chang-You Chen, Zhe Gan, Zheng Wen +2 more
20191 citations
Semantic Scholar
Collaborative Filtering with A Synthetic Feedback Loop
Wen-Lin Wang, Hongteng Xu, Ruiyi Zhang, Wen-Qi Wang +1 more
2019arXiv.org0 citations
Semantic Scholar