Wenlin Wang

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 54

Top Topics

Text Generation

Inverse Problems

Data Summarization

Imitation Learning

Top Venues

Publications

Yufei Xie, Weiwei Yu, Shasha Song, Wenlin Wang, Ying Jia, Xin Gao, Chongyang Wang
Application of Image Processing Based on Improved Canny Algorithm and Gurukin's Theorem. ICISS (2023)
Yufei Xie, Yu Cai, Yang Yu, Sen Wang, Wenlin Wang, Shasha Song
Endoscopic Ultrasound Image Recognition Based on Data Mining and Deep Learning. IEEE Access 10 (2022)
Wenlin Wang
Learning to Recommend from Sparse Data via Generative User Feedback. AAAI (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
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. KDD (2021)
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
Zero-Shot Recognition via Optimal Transport. WACV (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
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. CoRR (2021)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS (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)
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)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
Improving Adversarial Text Generation by Modeling the Distant Future. 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)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
Improving Adversarial Text Generation by Modeling the Distant Future. ACL (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)
Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS (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, Zhichao Hou
Physical Parametric Model of an Automotive Electrohydraulic Semiactive Damper. IEEE Trans. Veh. Technol. 68 (6) (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)
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)
Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin
An End-to-End Generative Architecture for Paraphrase Generation. EMNLP/IJCNLP (1) (2019)
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
On Norm-Agnostic Robustness of Adversarial Training. 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)
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) (2019)
Qi Wei, Kai Fan, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren
InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. ICME (2019)
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
Certified Adversarial Robustness with Additive Noise. NeurIPS (2019)
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
An Optimal Transport Framework for Zero-Shot Learning. CoRR (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)
Bowen Zou, Jian Liu, Wenlin Wang, Zhenyu Yang, GaoJun Liu, Jun Yang, Ming Yang
Development of an Interaction Simulator for the Scenario Analysis of Physical Protection Systems. IEEE Access 7 (2019)
Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin
Collaborative Filtering with A Synthetic Feedback Loop. CoRR (2019)
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
Topic-Guided Variational Autoencoders for Text Generation. CoRR (2019)
Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR (2019)
Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin
A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. Sci. China Inf. Sci. 62 (1) (2019)
Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin
Continuous-Time Flows for Efficient Inference and Density Estimation. ICML (2018)
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR (2018)
Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal
Wide Compression: Tensor Ring Nets. CVPR (2018)
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
Second-Order Adversarial Attack and Certifiable Robustness. CoRR (2018)
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) (2018)
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) (2018)
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. NeurIPS (2018)
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR (2018)
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Joint Embedding of Words and Labels for Text Classification. ACL (1) (2018)
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Joint Embedding of Words and Labels for Text Classification. CoRR (2018)
Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal
Wide Compression: Tensor Ring Nets. CoRR (2018)
Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
Topic Compositional Neural Language Model. AISTATS (2018)
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR (2018)
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI (2018)
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI (2018)
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. CoRR (2018)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin
Sequence Generation with Guider Network. CoRR (2018)
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR (2017)
Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine A. Heller
InverseNet: Solving Inverse Problems with Splitting Networks. CoRR (2017)
Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
Topic Compositional Neural Language Model. CoRR (2017)
Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
Deep Metric Learning with Data Summarization. ECML/PKDD (1) (2016)
Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin
Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. CoRR (2016)
Jing Liu, Wenlin Wang, Zhongming Zheng, Xiaoxia Zhang, Chen Chen, Xuemin Shen
Lifetime extended cooperative MAC protocol for wireless LANs. GLOBECOM (2012)
Wenlin Wang, Jing Liu, Dapeng Li, Youyun Xu
Throughput-Based Adaptive Resource-Allocation Algorithm for OFDMA Cellular System with Relay Stations. GLOBECOM (2011)
Junyan Chen, Jing Liu, Yunfeng Guan, Wenlin Wang
Network scale control for distributed networks by BER analysis. CrownCom (2011)
Wenlin Wang, Daniel E. Rivera, Hans D. Mittelmann
Inner and outer loop optimization in semiconductor manufacturing supply chain management. Comput. Manag. Sci. 6 (4) (2009)
Wenlin Wang, Daniel E. Rivera
Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management. IEEE Trans. Control. Syst. Technol. 16 (5) (2008)
Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera
Simulation-based optimization of process control policies for inventory management in supply chains. Autom. 42 (8) (2006)
Jianxin Liao, Wenlin Wang, Xiaomin Zhu
Consistency Control Algorithm for the Cache of Voice Platform Based on VoiceXML. ICNS (2006)
Hessam S. Sarjoughian, Dongping Huang, Gary W. Godding, Karl G. Kempf, Wenlin Wang, Daniel E. Rivera, Hans D. Mittelmann
Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing. WSC (2005)
Wenlin Wang, Daniel E. Rivera, Karl G. Kempf
A novel model predictive control algorithm for supply chain management in semiconductor manufacturing. ACC (2005)
Wenlin Wang, Daniel E. Rivera, Karl G. Kempf, Kirk D. Smith
A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty. ACC (2004)
Wenlin Wang, Daniel E. Rivera, Karl G. Kempf
Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains. ACC (2003)