Weiwei Pan

According to our database, Weiwei Pan authored at least 72 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Knowledge generation and diffusion in science & technology: an empirical study of SiC-MOSFET based on scientific papers and patents.

Weiwei Pan, Lirong Jian, Tao Liu

Technol. Anal. Strateg. Manag., July, 2024

Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning.

Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez

J. Mach. Learn. Res., 2024

Directly Optimizing Explanations for Desired Properties.

Hiwot Belay Tadesse, Alihan Hüyük, Weiwei Pan, Finale Doshi-Velez

CoRR, 2024

"ChatGPT, Don't Tell Me What to Do": Designing AI for Context Analysis in Humanitarian Frontline Negotiations.

Zilin Ma, Yiyang Mei, Claude Bruderlein, Krzysztof Z. Gajos, Weiwei Pan

CoRR, 2024

Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models.

Salma Abdel Magid, Weiwei Pan, Simon Warchol, Grace Guo, Junsik Kim, Mahia Rahman, Hanspeter Pfister

CoRR, 2024

A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning.

Eura Nofshin, Esther Brown, Brian Lim, Weiwei Pan, Finale Doshi-Velez

CoRR, 2024

Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations.

Zilin Ma, Susannah Su, Nathan Zhao, Linn Bieske, Blake Bullwinkel, Yanyi Zhang, Sophia Yang, Ziqing Luo, Siyao Li, Gekai Liao, Boxiang Wang, Jinglun Gao, Zihan Wen, Claude Bruderlein, Weiwei Pan

CoRR, 2024

Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

CoRR, 2024

Inverse Reinforcement Learning with Multiple Planning Horizons.

Jiayu Yao, Weiwei Pan, Finale Doshi-Velez, Barbara E. Engelhardt

RLJ, 2024

MS-YOLOv5s: An Improved YOLOv5s for the Detection of Imperceptible Defects on Steel Surfaces.

Chenchen Wang, Mian Zhou, Yuan Liang, Weiwei Pan, Zan Gao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks.

Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

PSO-NRS: an online group feature selection algorithm based on PSO multi-objective optimization.

Shunpan Liang, Ze Liu, Dianlong You, Weiwei Pan, Junjie Zhao, Yefan Cao

Appl. Intell., June, 2023

Signature Activation: A Sparse Signal View for Holistic Saliency.

José Roberto Tello-Ayala, Akl C. Fahed, Weiwei Pan, Eugene V. Pomerantsev, Patrick T. Ellinor, Anthony Philippakis, Finale Doshi-Velez

CoRR, 2023

Why do universal adversarial attacks work on large language models?: Geometry might be the answer.

Varshini Subhash, Anna Bialas, Weiwei Pan, Finale Doshi-Velez

CoRR, 2023

SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text.

Charumathi Badrinath, Weiwei Pan, Finale Doshi-Velez

CoRR, 2023

Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning.

Lars Lien Ankile, Brian S. Ham, Kevin Mao, Eura Shin, Siddharth Swaroop, Finale Doshi-Velez, Weiwei Pan

CoRR, 2023

Multimodal N-of-1 trials: A Novel Personalized Healthcare Design.

Jingjing Fu, Shuheng Liu, Siqi Du, Siqiao Ruan, Xuliang Guo, Weiwei Pan, Abhishek Sharma, Stefan Konigorski

CoRR, 2023

The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning.

Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez

Proceedings of the International Conference on Machine Learning, 2023

2022

Online multi-label stream feature selection based on neighborhood rough set with missing labels.

Shunpan Liang, Ze Liu, Dianlong You, Weiwei Pan

Pattern Anal. Appl., 2022

Extracting keyframes of breast ultrasound video using deep reinforcement learning.

Ruobing Huang, Qilong Ying, Zehui Lin, Zijie Zheng, Long Tan, Guoxue Tang, Qi Zhang, Man Luo, Xiuwen Yi, Pan Liu, Weiwei Pan, Jiayi Wu, Baoming Luo, Dong Ni

Medical Image Anal., 2022

Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

J. Mach. Learn. Res., 2022

Modeling Mobile Health Users as Reinforcement Learning Agents.

Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez

CoRR, 2022

An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks.

Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez

CoRR, 2022

Does the explanation satisfy your needs?: A unified view of properties of explanations.

Zixi Chen, Varshini Subhash, Marton Havasi, Weiwei Pan, Finale Doshi-Velez

CoRR, 2022

Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry.

Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan

CoRR, 2022

Policy Optimization with Sparse Global Contrastive Explanations.

Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez

CoRR, 2022

Incremental deep forest for multi-label data streams learning.

Shunpan Liang, Weiwei Pan, Dianlong You, Ze Liu, Ling Yin

Appl. Intell., 2022

Wide Mean-Field Bayesian Neural Networks Ignore the Data.

Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Promises and Pitfalls of Black-Box Concept Learning Models.

Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan

CoRR, 2021

Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data.

Beau Coker, Weiwei Pan, Finale Doshi-Velez

CoRR, 2021

An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem.

Weiwei Pan, Jingjing Shen, Zi Xu

Comput. Optim. Appl., 2021

Efficient online inference for nonparametric mixture models.

Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Power Constrained Bandits.

Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez

Proceedings of the Machine Learning for Healthcare Conference, 2021

2020

A 1770-µm² Leakage-Based Digital Temperature Sensor With Supply Sensitivity Suppression in 55-nm CMOS.

Zhong Tang, Yun Fang, Zheng Shi, Xiao-Peng Yu, Nianxiong Tan, Weiwei Pan

IEEE J. Solid State Circuits, 2020

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

CoRR, 2020

BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty.

Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan

CoRR, 2020

Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks.

Sujay Thakur, Cooper Lorsung, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan

CoRR, 2020

Research on the Optimization of Mobile Work Terminal Positioning Function Based on LBS.

Weiwei Pan, Guang Shen, Yuebo Wu, Xiang Huang

Proceedings of the Intelligent Computing Theories and Application, 2020

Assessment and Application Research on the Carrying Capacity of Township Power Supply Station Based on Big Data Analysis.

Weiwei Pan, Guang Shen, Yuebo Wu, Xiang Huang

Proceedings of the Intelligent Computing Theories and Application, 2020

Ensembles of Locally Independent Prediction Models.

Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization.

Weiwei Pan, Lirong Jian, Tao Liu

Scientometrics, 2019

Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

CoRR, 2019

Quality of Uncertainty Quantification for Bayesian Neural Network Inference.

Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez

CoRR, 2019

A general method for regularizing tensor decomposition methods via pseudo-data.

Omer Gottesman, Weiwei Pan, Finale Doshi-Velez

CoRR, 2019

Field Trial Demonstration of Real-Time 400GbE Optical Transport over Both Conventional and Non-Contiguous Superchannels using Configurable Modulation Formats.

Yu Rong Zhou, Kevin Smith, Mike Gilson, Weiwei Pan, Wei Huang, Lihong Shen, Wei Peng, Kunxu Peng, Paul Brooks, Chris Cole, Chengpin Yu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models.

Marouan Belhaj, Pavlos Protopapas, Weiwei Pan

CoRR, 2018

Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights.

Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez

CoRR, 2018

Learning Qualitatively Diverse and Interpretable Rules for Classification.

Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez

CoRR, 2018

Demonstration of Real-Time 400G Single-Carrier Ultra-Efficient 1.2Tb/s Superchannel over Large Aeff Ultra-Low Loss Terrestrial Fiber of 150km Single Span and 250km (2×125km Spans) Using only EDFA Amplification.

Yu Rong Zhou, Kevin Smith, Mike Gilson, Jingxin Chen, Weiwei Pan, Youhui Chang, Shuangyuan Wu, Shipeng Wu, Ian Davis

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Weighted Tensor Decomposition for Learning Latent Variables with Partial Data.

Omer Gottesman, Weiwei Pan, Finale Doshi-Velez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

An ordinal rough set model based on fuzzy covering for fault level identification.

Weiwei Pan, Huixin He

J. Intell. Fuzzy Syst., 2017

A novel layout automation flow to facilitate test chip design for standard cell characterization.

Ludan Yang, Weiwei Pan, Zheng Shi, Yongjun Zheng

Proceedings of the 12th IEEE International Conference on ASIC, 2017

Design and automatic generation of area-efficient ring oscillator based addressable test chips.

Xiaoxin Dou, Weiwei Pan, Zheng Shi, Yongjun Zheng

Proceedings of the 12th IEEE International Conference on ASIC, 2017

2016

An Improved Feature Selection Algorithm for Ordinal Classification.

Weiwei Pan, Qinhua Hu

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations.

Weiwei Pan, Finale Doshi-Velez

CoRR, 2016

An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization.

Arjumand Masood, Weiwei Pan, Finale Doshi-Velez

CoRR, 2016

Field trial demonstration of novel optical superchannel capacity protection for 400G using DP-16QAM and DP-QPSK with in-service OTDR fault localization.

Yu Rong Zhou, Kevin Smith, Paul Weir, Andrew Lord, Jingxin Chen, Weiwei Pan, Nian Zhou, Zhimin Xiao

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

Field trial demonstration of real-time optical superchannel transport up to 5.6Tb/s over 359km and 2Tb/s over a live 727km flexible grid link using 64GBaud software configurable transponders.

Yu Rong Zhou, Kevin Smith, S. West, M. Johnston, John Weatherhead, P. Weir, J. Hammond, Andrew Lord, J. Chen, Weiwei Pan, C. Cao, R. Yang, N. Zhou, Shipeng Wu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

A method of off-line signature verification for digital forensics.

Weiwei Pan, Guolong Chen

Proceedings of the 12th International Conference on Natural Computation, 2016

Optimizing the Multiclass F-Measure via Biconcave Programming.

Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Fast Level-Set-Based Inverse Lithography Algorithm for Process Robustness Improvement and Its Application.

Zhen Geng, Zheng Shi, Xiaolang Yan, Kai-sheng Luo, Weiwei Pan

J. Comput. Sci. Technol., 2015

2014

An improved semi-supervised learning method for software defect prediction.

Ying Ma, Weiwei Pan, Shunzhi Zhu, Huayi Yin, Jian Luo

J. Intell. Fuzzy Syst., 2014

Feature selection for monotonic classification via maximizing monotonic dependency.

Weiwei Pan, Qinghua Hu, Yanping Song, Daren Yu

Int. J. Comput. Intell. Syst., 2014

Balanced Neighborhood Classifiers for Imbalanced Data Sets.

Shunzhi Zhu, Ying Ma, Weiwei Pan, Xiatian Zhu, Guangchun Luo

IEICE Trans. Inf. Syst., 2014

2012

Feature Selection for Monotonic Classification.

Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo, Daren Yu

IEEE Trans. Fuzzy Syst., 2012

Large-margin feature selection for monotonic classification.

Qinghua Hu, Weiwei Pan, Yanping Song, Daren Yu

Knowl. Based Syst., 2012

Array based HV/VH tree: an effective data structure for layout representation.

Jie Ren, Weiwei Pan, Yongjun Zheng, Zheng Shi, Xiaolang Yan

J. Zhejiang Univ. Sci. C, 2012

Life cycle management method for smart grid asset with real option theory.

Guowei Wu, Hui Zhou, Weiwei Pan, Yunhe Hou

Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

Risk-based life cycle cost analysis method for transmission systems.

Weiwei Pan, Guowei Wu, Hui Zhou, Chong Wang, Yunhe Hou

Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

2011

Using NMOS transistors as switches for accuracy and area-efficiency in large-scale addressable test array.

Weiwei Pan, Jie Ren, Yongjun Zheng, Zheng Shi, Xiaolang Yan

Proceedings of the 12th International Symposium on Quality Electronic Design, 2011

A fully automated large-scale addressable test chip design with high reliability.

Bo Zhang, Weiwei Pan, Yongjun Zheng, Zheng Shi, Xiaolang Yan

Proceedings of the 20th European Conference on Circuit Theory and Design, 2011