Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains. - Wenlin Wang; Daniel E. Rivera; Karl G. Kempf (ACC, 2003)

A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty. - Wenlin Wang; Daniel E. Rivera; Karl G. Kempf; Kirk D. Smith (ACC, 2004)

A novel model predictive control algorithm for supply chain management in semiconductor manufacturing. - Wenlin Wang; Daniel E. Rivera; Karl G. Kempf (ACC, 2005)

Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing. - Hessam S. Sarjoughian; Dongping Huang; Gary W. Godding; Karl G. Kempf; Wenlin Wang; Daniel E. Rivera; Hans D. Mittelmann (WSC, 2005)

Consistency Control Algorithm for the Cache of Voice Platform Based on VoiceXML. - Jianxin Liao; Wenlin Wang; Xiaomin Zhu 002 (ICNS, 2006)

Simulation-based optimization of process control policies for inventory management in supply chains. - Jay D. Schwartz; Wenlin Wang; Daniel E. Rivera (Autom., 2006)

Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management. - Wenlin Wang; Daniel E. Rivera (IEEE Trans. Control. Syst. Technol., 2008)

Inner and outer loop optimization in semiconductor manufacturing supply chain management. - Wenlin Wang; Daniel E. Rivera; Hans D. Mittelmann (Comput. Manag. Sci., 2009)

Network scale control for distributed networks by BER analysis. - Junyan Chen; Jing Liu; Yunfeng Guan 001; Wenlin Wang (CrownCom, 2011)

Throughput-Based Adaptive Resource-Allocation Algorithm for OFDMA Cellular System with Relay Stations. - Wenlin Wang; Jing Liu 023; Dapeng Li 001; Youyun Xu (GLOBECOM, 2011)

Lifetime extended cooperative MAC protocol for wireless LANs. - Jing Liu 023; Wenlin Wang; Zhongming Zheng; Xiaoxia Zhang; Chen Chen; Xuemin Shen (GLOBECOM, 2012)

Deep Metric Learning with Data Summarization. - Wenlin Wang; Changyou Chen; Wenlin Chen; Piyush Rai; Lawrence Carin (ECML/PKDD (1), 2016)

Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. - Wenlin Wang; Changyou Chen; Wenqi Wang 001; Piyush Rai; Lawrence Carin (CoRR, 2016)

InverseNet: Solving Inverse Problems with Splitting Networks. - Kai Fan 002; Qi Wei; Wenlin Wang; Amit Chakraborty; Katherine A. Heller (CoRR, 2017)

Zero-Shot Learning via Class-Conditioned Deep Generative Models. - Wenlin Wang; Yunchen Pu; Vinay Kumar Verma; Kai Fan 002; Yizhe Zhang 002; Changyou Chen; Piyush Rai; Lawrence Carin (AAAI, 2018)

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. - Dinghan Shen; Qinliang Su; Paidamoyo Chapfuwa; Wenlin Wang; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. - Dinghan Shen; Guoyin Wang 002; Wenlin Wang; Martin Renqiang Min; Qinliang Su; Yizhe Zhang 002; Chunyuan Li; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Joint Embedding of Words and Labels for Text Classification. - Guoyin Wang 002; Chunyuan Li; Wenlin Wang; Yizhe Zhang 002; Dinghan Shen; Xinyuan Zhang 001; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Topic Compositional Neural Language Model. - Wenlin Wang; Zhe Gan; Wenqi Wang 001; Dinghan Shen; Jiaji Huang; Wei Ping; Sanjeev Satheesh; Lawrence Carin (AISTATS, 2018)

Wide Compression: Tensor Ring Nets. - Wenqi Wang 001; Yifan Sun 001; Brian Eriksson; Wenlin Wang; Vaneet Aggarwal (CVPR, 2018)

Continuous-Time Flows for Efficient Inference and Density Estimation. - Changyou Chen; Chunyuan Li; Liquan Chen; Wenlin Wang; Yunchen Pu; Lawrence Carin (ICML, 2018)

Distilled Wasserstein Learning for Word Embedding and Topic Modeling. - Hongteng Xu; Wenlin Wang; Wei Liu 005; Lawrence Carin (NeurIPS, 2018)

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. - Changyou Chen; Ruiyi Zhang 002; Wenlin Wang; Bai Li 001; Liqun Chen 001 (UAI, 2018)

Second-Order Adversarial Attack and Certifiable Robustness. - Bai Li 001; Changyou Chen; Wenlin Wang; Lawrence Carin (CoRR, 2018)

Sequence Generation with Guider Network. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Liqun Chen 001; Dinghan Shen; Guoyin Wang 002; Lawrence Carin (CoRR, 2018)

Improving Textual Network Embedding with Global Attention via Optimal Transport. - Liqun Chen 001; Guoyin Wang 002; Chenyang Tao; Dinghan Shen; Pengyu Cheng; Xinyuan Zhang 001; Wenlin Wang; Yizhe Zhang 002; Lawrence Carin (ACL (1), 2019)

An End-to-End Generative Architecture for Paraphrase Generation. - Qian Yang 003; Zhouyuan Huo; Dinghan Shen; Yong Cheng; Wenlin Wang; Guoyin Wang 002; Lawrence Carin (EMNLP/IJCNLP (1), 2019)

InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. - Qi Wei; Kai Fan 002; Wenlin Wang; Tianhang Zheng; Amit Chakraborty; Katherine A. Heller; Changyou Chen; Kui Ren 001 (ICME, 2019)

Topic-Guided Variational Auto-Encoder for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (NAACL-HLT (1), 2019)

Certified Adversarial Robustness with Additive Noise. - Bai Li 001; Changyou Chen; Wenlin Wang; Lawrence Carin (NeurIPS, 2019)

Improving Textual Network Learning with Variational Homophilic Embeddings. - Wenlin Wang; Chenyang Tao; Zhe Gan; Guoyin Wang 002; Liqun Chen 001; Xinyuan Zhang 001; Ruiyi Zhang 002; Qian Yang 003; Ricardo Henao; Lawrence Carin (NeurIPS, 2019)

Ouroboros: On Accelerating Training of Transformer-Based Language Models. - Qian Yang 003; Zhouyuan Huo; Wenlin Wang; Heng Huang; Lawrence Carin (NeurIPS, 2019)

Development of an Interaction Simulator for the Scenario Analysis of Physical Protection Systems. - Bowen Zou; Jian Liu; Wenlin Wang; Zhenyu Yang; Gaojun Liu; Jun Yang 027; Ming Yang (IEEE Access, 2019)

A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. - Changyou Chen; Wenlin Wang; Yizhe Zhang 002; Qinliang Su; Lawrence Carin (Sci. China Inf. Sci., 2019)

Topic-Guided Variational Autoencoders for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (CoRR, 2019)

On Norm-Agnostic Robustness of Adversarial Training. - Bai Li 001; Changyou Chen; Wenlin Wang; Lawrence Carin (CoRR, 2019)

An Optimal Transport Framework for Zero-Shot Learning. - Wenlin Wang; Hongteng Xu; Guoyin Wang 002; Wenqi Wang 001; Lawrence Carin (CoRR, 2019)

Collaborative Filtering with A Synthetic Feedback Loop. - Wenlin Wang; Hongteng Xu; Ruiyi Zhang 002; Wenqi Wang 001; Lawrence Carin (CoRR, 2019)

Physical Parametric Model of an Automotive Electrohydraulic Semiactive Damper. - Wenlin Wang; Zhichao Hou (IEEE Trans. Veh. Technol., 2019)

Deep Generative Models for Vision, Languages and Graphs. - Wenlin Wang (2019)

Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. - Liqun Chen 001; Ke Bai 001; Chenyang Tao; Yizhe Zhang 002; Guoyin Wang 002; Wenlin Wang; Ricardo Henao; Lawrence Carin (AAAI, 2020)

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. - Wenlin Wang; Hongteng Xu; Zhe Gan; Bai Li 001; Guoyin Wang 002; Liqun Chen 001; Qian Yang 003; Wenqi Wang 001; Lawrence Carin (AAAI, 2020)

Improving Adversarial Text Generation by Modeling the Distant Future. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Dinghan Shen; Guoyin Wang 002; Zheng Wen; Lawrence Carin (ACL, 2020)

Nested-Wasserstein Self-Imitation Learning for Sequence Generation. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Zheng Wen; Wenlin Wang; Lawrence Carin (AISTATS, 2020)

Improving Text Generation with Student-Forcing Optimal Transport. - Jianqiao Li; Chunyuan Li; Guoyin Wang 002; Hao Fu 002; Yuh-Chen Lin; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Ruiyi Zhang 002; Wenlin Wang; Dinghan Shen; Qian Yang 003; et al. (EMNLP (1), 2020)

Learning to Recommend from Sparse Data via Generative User Feedback. - Wenlin Wang (AAAI, 2021)

JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. - Hao Liu 026; Qian Gao; Jiang Li; Xiaochao Liao; Hao Xiong; Guangxing Chen; Wenlin Wang; Guobao Yang; Zhiwei Zha; Daxiang Dong; Dejing Dou; Haoyi Xiong (KDD, 2021)

Zero-Shot Recognition via Optimal Transport. - Wenlin Wang; Hongteng Xu; Guoyin Wang 002; Wenqi Wang 001; Lawrence Carin (WACV, 2021)

Endoscopic Ultrasound Image Recognition Based on Data Mining and Deep Learning. - Yufei Xie; Yu Cai 009; Yang Yu; Sen Wang; Wenlin Wang; Shasha Song (IEEE Access, 2022)

Application of Image Processing Based on Improved Canny Algorithm and Gurukin's Theorem. - Yufei Xie; Weiwei Yu; Shasha Song; Wenlin Wang; Ying Jia; Xin Gao; Chongyang Wang (ICISS, 2023)

Thyroid disease diagnosis based on feature interpolation Interaction and dynamic assignment Stacking model. - Yufei Xie; Weiwei Yu; Haitao Lan; Jiayuan Gong; Shaotai Wen; Haichuan Zhang; Guohua Wu; Wenke Gao; Shasha Song; Wenlin Wang (Biomed. Signal Process. Control., 2025)

PDFusion: A domain-adaptive incremental learning model based on Physical-Data Fusion for lithium-ion battery state estimation. - Yufei Xie; Wenlin Wang; Guohua Wu; Haichuan Zhang (Eng. Appl. Artif. Intell., 2025)