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2020 – today
- 2023
[c34]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: 193-201- 2022
- [j7]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: 10273-10282 (2022) - 2021
- [c33]Wenlin Wang:
Learning to Recommend from Sparse Data via Generative User Feedback. AAAI 2021: 4436-4444 - [c32]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: 3289-3298 - [c31]Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin:
Zero-Shot Recognition via Optimal Transport. WACV 2021: 3470-3480 - [i24]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 abs/2106.01674 (2021) - 2020
- [c30]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: 979-988 - [c29]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: 7512-7520 - [c28]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: 2516-2531 - [c27]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS 2020: 422-433 - [c26]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: 9144-9156 - [i23]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR abs/2001.06944 (2020) - [i22]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 abs/2005.01279 (2020) - [i21]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 abs/2010.05994 (2020)
2010 – 2019
- 2019
- [b1]Wenlin Wang:
Deep Generative Models for Vision, Languages and Graphs. Duke University, Durham, NC, USA, 2019 - [j6]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: 91509-91517 (2019) - [j5]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): 12101:1-12101:13 (2019) - [j4]Wenlin Wang, Zhichao Hou:
Physical Parametric Model of an Automotive Electrohydraulic Semiactive Damper. IEEE Trans. Veh. Technol. 68(6): 5356-5365 (2019) - [c25]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: 5193-5202 - [c24]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: 3130-3140 - [c23]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: 1324-1329 - [c22]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: 166-177 - [c21]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: 2074-2085 - [c20]Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS 2019: 5520-5530 - [c19]Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin:
Certified Adversarial Robustness with Additive Noise. NeurIPS 2019: 9459-9469 - [i20]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Autoencoders for Text Generation. CoRR abs/1903.07137 (2019) - [i19]Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin:
On Norm-Agnostic Robustness of Adversarial Training. CoRR abs/1905.06455 (2019) - [i18]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 abs/1906.01840 (2019) - [i17]Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR abs/1909.06695 (2019) - [i16]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 abs/1909.13456 (2019) - [i15]Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin:
An Optimal Transport Framework for Zero-Shot Learning. CoRR abs/1910.09057 (2019) - [i14]Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin:
Collaborative Filtering with A Synthetic Feedback Loop. CoRR abs/1910.12735 (2019) - [i13]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 abs/1911.08709 (2019) - 2018
- [c18]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: 4211-4218 - [c17]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: 440-450 - [c16]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: 2041-2050 - [c15]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: 2321-2331 - [c14]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. AISTATS 2018: 356-365 - [c13]Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal:
Wide Compression: Tensor Ring Nets. CVPR 2018: 9329-9338 - [c12]Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin:
Continuous-Time Flows for Efficient Inference and Density Estimation. ICML 2018: 823-832 - [c11]Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin:
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. NeurIPS 2018: 1723-1732 - [c10]Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen:
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI 2018: 746-755 - [i12]Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal:
Wide Compression: Tensor Ring Nets. CoRR abs/1802.09052 (2018) - [i11]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 abs/1805.04174 (2018) - [i10]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 abs/1805.05361 (2018) - [i9]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 abs/1805.09843 (2018) - [i8]Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen:
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR abs/1805.11659 (2018) - [i7]Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin:
Second-Order Adversarial Attack and Certifiable Robustness. CoRR abs/1809.03113 (2018) - [i6]Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin:
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. CoRR abs/1809.04705 (2018) - [i5]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin:
Sequence Generation with Guider Network. CoRR abs/1811.00696 (2018) - 2017
- [i4]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 abs/1711.05820 (2017) - [i3]Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine A. Heller:
InverseNet: Solving Inverse Problems with Splitting Networks. CoRR abs/1712.00202 (2017) - [i2]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. CoRR abs/1712.09783 (2017) - 2016
- [c9]Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin:
Deep Metric Learning with Data Summarization. ECML/PKDD (1) 2016: 777-794 - [i1]Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin:
Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. CoRR abs/1611.04578 (2016) - 2012
- [c8]Jing Liu, Wenlin Wang, Zhongming Zheng, Xiaoxia Zhang, Chen Chen, Xuemin Shen:
Lifetime extended cooperative MAC protocol for wireless LANs. GLOBECOM 2012: 5476-5481 - 2011
- [c7]Junyan Chen, Jing Liu, Yunfeng Guan, Wenlin Wang:
Network scale control for distributed networks by BER analysis. CrownCom 2011: 400-404 - [c6]Wenlin Wang, Jing Liu, Dapeng Li, Youyun Xu:
Throughput-Based Adaptive Resource-Allocation Algorithm for OFDMA Cellular System with Relay Stations. GLOBECOM 2011: 1-5
2000 – 2009
- 2009
- [j3]Wenlin Wang, Daniel E. Rivera, Hans D. Mittelmann:
Inner and outer loop optimization in semiconductor manufacturing supply chain management. Comput. Manag. Sci. 6(4): 411 (2009) - 2008
- [j2]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): 841-855 (2008) - 2006
- [j1]Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera:
Simulation-based optimization of process control policies for inventory management in supply chains. Autom. 42(8): 1311-1320 (2006) - [c5]Jianxin Liao, Wenlin Wang, Xiaomin Zhu:
Consistency Control Algorithm for the Cache of Voice Platform Based on VoiceXML. ICNS 2006: 54 - 2005
- [c4]Wenlin Wang, Daniel E. Rivera, Karl G. Kempf:
A novel model predictive control algorithm for supply chain management in semiconductor manufacturing. ACC 2005: 208-213vol.1 - [c3]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: 256-266 - 2004
- [c2]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: 4577-4582 - 2003
- [c1]Wenlin Wang, Daniel E. Rivera, Karl G. Kempf:
Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains. ACC 2003: 585-590
Coauthor Index
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