Weiwei Pan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 61

Top Topics

Reinforcement Learning

Nonnegative Matrix Factorization

Variational Bayes

Top Venues

Publications

Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. AAMAS (2024)
Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. CoRR (2024)
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
Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations. CoRR (2024)
Chenchen Wang, Mian Zhou, Yuan Liang, Weiwei Pan, Zan Gao
MS-YOLOv5s: An Improved YOLOv5s for the Detection of Imperceptible Defects on Steel Surfaces. ICIC (10) (2024)
Weiwei Pan, Lirong Jian, Tao Liu
Knowledge generation and diffusion in science & technology: an empirical study of SiC-MOSFET based on scientific papers and patents. Technol. Anal. Strateg. Manag. 36 (7) (2024)
Eura Nofshin, Esther Brown, Brian Lim, Weiwei Pan, Finale Doshi-Velez
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning. CoRR (2024)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders. CoRR (2024)
Varshini Subhash, Anna Bialas, Weiwei Pan, Finale Doshi-Velez
Why do universal adversarial attacks work on large language models?: Geometry might be the answer. CoRR (2023)
Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. ICML (2023)
Lars Lien Ankile, Brian S. Ham, Kevin Mao, Eura Shin, Siddharth Swaroop, Finale Doshi-Velez, Weiwei Pan
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning. CoRR (2023)
Shunpan Liang, Ze Liu, Dianlong You, Weiwei Pan, Junjie Zhao, Yefan Cao
PSO-NRS: an online group feature selection algorithm based on PSO multi-objective optimization. Appl. Intell. 53 (12) (2023)
Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. CoRR (2023)
Jingjing Fu, Shuheng Liu, Siqi Du, Siqiao Ruan, Xuliang Guo, Weiwei Pan, Abhishek Sharma, Stefan Konigorski
Multimodal N-of-1 trials: A Novel Personalized Healthcare Design. CoRR (2023)
José Roberto Tello-Ayala, Akl C. Fahed, Weiwei Pan, Eugene V. Pomerantsev, Patrick T. Ellinor, Anthony Philippakis, Finale Doshi-Velez
Signature Activation: A Sparse Signal View for Holistic Saliency. CoRR (2023)
Charumathi Badrinath, Weiwei Pan, Finale Doshi-Velez
SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text. CoRR (2023)
Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez
An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks. CoRR (2022)
Shunpan Liang, Ze Liu, Dianlong You, Weiwei Pan
Online multi-label stream feature selection based on neighborhood rough set with missing labels. Pattern Anal. Appl. 25 (4) (2022)
Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry. CoRR (2022)
Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez
Policy Optimization with Sparse Global Contrastive Explanations. CoRR (2022)
Zixi Chen, Varshini Subhash, Marton Havasi, Weiwei Pan, Finale Doshi-Velez
Does the explanation satisfy your needs?: A unified view of properties of explanations. CoRR (2022)
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
Extracting keyframes of breast ultrasound video using deep reinforcement learning. Medical Image Anal. 80 (2022)
Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez
Wide Mean-Field Bayesian Neural Networks Ignore the Data. CoRR (2022)
Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Modeling Mobile Health Users as Reinforcement Learning Agents. CoRR (2022)
Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez
Wide Mean-Field Bayesian Neural Networks Ignore the Data. AISTATS (2022)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables. J. Mach. Learn. Res. 23 (2022)
Shunpan Liang, Weiwei Pan, Dianlong You, Ze Liu, Ling Yin
Incremental deep forest for multi-label data streams learning. Appl. Intell. 52 (12) (2022)
Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete
Efficient online inference for nonparametric mixture models. UAI (2021)
Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan
Promises and Pitfalls of Black-Box Concept Learning Models. CoRR (2021)
Beau Coker, Weiwei Pan, Finale Doshi-Velez
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data. CoRR (2021)
Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Power Constrained Bandits. MLHC (2021)
Weiwei Pan, Jingjing Shen, Zi Xu
An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem. Comput. Optim. Appl. 78 (1) (2021)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks. CoRR (2020)
Sujay Thakur, Cooper Lorsung, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan
Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks. CoRR (2020)
Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez
Ensembles of Locally Independent Prediction Models. AAAI (2020)
Weiwei Pan, Guang Shen, Yuebo Wu, Xiang Huang
Assessment and Application Research on the Carrying Capacity of Township Power Supply Station Based on Big Data Analysis. ICIC (1) (2020)
Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Power-Constrained Bandits. CoRR (2020)
Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. CoRR (2020)
Weiwei Pan, Guang Shen, Yuebo Wu, Xiang Huang
Research on the Optimization of Mobile Work Terminal Positioning Function Based on LBS. ICIC (1) (2020)
Zhong Tang, Yun Fang, Zheng Shi, Xiao-Peng Yu, Nianxiong Tan, Weiwei Pan
Leakage-Based Digital Temperature Sensor With Supply Sensitivity Suppression in 55-nm CMOS. IEEE J. Solid State Circuits 55 (3) (2020)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. CoRR (2020)
Weiwei Pan, Lirong Jian, Tao Liu
Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization. Scientometrics 121 (3) (2019)
Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez
Ensembles of Locally Independent Prediction Models. CoRR (2019)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. CoRR (2019)
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
A general method for regularizing tensor decomposition methods via pseudo-data. CoRR (2019)
Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez
Quality of Uncertainty Quantification for Bayesian Neural Network Inference. CoRR (2019)
Yu Rong Zhou, Kevin Smith, Mike Gilson, Weiwei Pan, Wei Huang, Lihong Shen, Wei Peng, Kunxu Peng, Paul Brooks, Chris Cole, Chengpin Yu
Field Trial Demonstration of Real-Time 400GbE Optical Transport over Both Conventional and Non-Contiguous Superchannels using Configurable Modulation Formats. OFC (2019)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. AABI (2019)
Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez
Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights. CoRR (2018)
Yu Rong Zhou, Kevin Smith, Mike Gilson, Jingxin Chen, Weiwei Pan, Youhui Chang, Shuangyuan Wu, Shipeng Wu, Ian Davis
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. OFC (2018)
Marouan Belhaj, Pavlos Protopapas, Weiwei Pan
Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models. CoRR (2018)
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. AISTATS (2018)
Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez
Learning Qualitatively Diverse and Interpretable Rules for Classification. CoRR (2018)
Ludan Yang, Weiwei Pan, Zheng Shi, Yongjun Zheng
A novel layout automation flow to facilitate test chip design for standard cell characterization. ASICON (2017)
Xiaoxin Dou, Weiwei Pan, Zheng Shi, Yongjun Zheng
Design and automatic generation of area-efficient ring oscillator based addressable test chips. ASICON (2017)
Weiwei Pan, Huixin He
An ordinal rough set model based on fuzzy covering for fault level identification. J. Intell. Fuzzy Syst. 33 (5) (2017)
Weiwei Pan, Qinhua Hu
An Improved Feature Selection Algorithm for Ordinal Classification. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2016)
Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy
Optimizing the Multiclass F-Measure via Biconcave Programming. ICDM (2016)
Weiwei Pan, Guolong Chen
A method of off-line signature verification for digital forensics. ICNC-FSKD (2016)
Weiwei Pan, Finale Doshi-Velez
A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations. CoRR (2016)
Arjumand Masood, Weiwei Pan, Finale Doshi-Velez
An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization. CoRR (2016)
Yu Rong Zhou, Kevin Smith, Paul Weir, Andrew Lord, Jingxin Chen, Weiwei Pan, Nian Zhou, Zhimin Xiao
Field trial demonstration of novel optical superchannel capacity protection for 400G using DP-16QAM and DP-QPSK with in-service OTDR fault localization. OFC (2016)
Zhen Geng, Zheng Shi, Xiaolang Yan, Kai-sheng Luo, Weiwei Pan
Fast Level-Set-Based Inverse Lithography Algorithm for Process Robustness Improvement and Its Application. J. Comput. Sci. Technol. 30 (3) (2015)
Shunzhi Zhu, Ying Ma, Weiwei Pan, Xiatian Zhu, Guangchun Luo
Balanced Neighborhood Classifiers for Imbalanced Data Sets. IEICE Trans. Inf. Syst. (12) (2014)
Weiwei Pan, Qinghua Hu, Yanping Song, Daren Yu
Feature selection for monotonic classification via maximizing monotonic dependency. Int. J. Comput. Intell. Syst. 7 (3) (2014)
Ying Ma, Weiwei Pan, Shunzhi Zhu, Huayi Yin, Jian Luo
An improved semi-supervised learning method for software defect prediction. J. Intell. Fuzzy Syst. 27 (5) (2014)
Weiwei Pan, Guowei Wu, Hui Zhou, Chong Wang, Yunhe Hou
Risk-based life cycle cost analysis method for transmission systems. ISGT Europe (2012)
Guowei Wu, Hui Zhou, Weiwei Pan, Yunhe Hou
Life cycle management method for smart grid asset with real option theory. ISGT Europe (2012)
Qinghua Hu, Weiwei Pan, Yanping Song, Daren Yu
Large-margin feature selection for monotonic classification. Knowl. Based Syst. 31 (2012)
Jie Ren, Weiwei Pan, Yongjun Zheng, Zheng Shi, Xiaolang Yan
Array based HV/VH tree: an effective data structure for layout representation. J. Zhejiang Univ. Sci. C 13 (3) (2012)
Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo, Daren Yu
Feature Selection for Monotonic Classification. IEEE Trans. Fuzzy Syst. 20 (1) (2012)
Weiwei Pan, Jie Ren, Yongjun Zheng, Zheng Shi, Xiaolang Yan
Using NMOS transistors as switches for accuracy and area-efficiency in large-scale addressable test array. ISQED (2011)
Bo Zhang, Weiwei Pan, Yongjun Zheng, Zheng Shi, Xiaolang Yan
A fully automated large-scale addressable test chip design with high reliability. ECCTD (2011)