A fully automated large-scale addressable test chip design with high reliability. - Bo Zhang; Weiwei Pan; Yongjun Zheng; Zheng Shi 002; Xiaolang Yan (ECCTD, 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 002; Xiaolang Yan (ISQED, 2011)

Risk-based life cycle cost analysis method for transmission systems. - Weiwei Pan; Guowei Wu; Hui Zhou; Chong Wang 026; Yunhe Hou (ISGT Europe, 2012)

Life cycle management method for smart grid asset with real option theory. - Guowei Wu; Hui Zhou; Weiwei Pan; Yunhe Hou (ISGT Europe, 2012)

Array based HV/VH tree: an effective data structure for layout representation. - Jie Ren; Weiwei Pan; Yongjun Zheng; Zheng Shi 002; Xiaolang Yan (J. Zhejiang Univ. Sci. C, 2012)

Large-margin feature selection for monotonic classification. - Qinghua Hu; Weiwei Pan; Yanping Song; Daren Yu (Knowl. Based Syst., 2012)

Feature Selection for Monotonic Classification. - Qinghua Hu; Weiwei Pan; Lei Zhang 006; David Zhang 001; Yanping Song; Maozu Guo 001; Daren Yu (IEEE Trans. Fuzzy Syst., 2012)

Balanced Neighborhood Classifiers for Imbalanced Data Sets. - Shunzhi Zhu; Ying Ma; Weiwei Pan; Xiatian Zhu; Guangchun Luo (IEICE Trans. Inf. 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)

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)

Fast Level-Set-Based Inverse Lithography Algorithm for Process Robustness Improvement and Its Application. - Zhen Geng; Zheng Shi 002; Xiaolang Yan; Kai-sheng Luo; Weiwei Pan (J. Comput. Sci. Technol., 2015)

Optimizing the Multiclass F-Measure via Biconcave Programming. - Harikrishna Narasimhan; Weiwei Pan; Purushottam Kar; Pavlos Protopapas; Harish G. Ramaswamy (ICDM, 2016)

A method of off-line signature verification for digital forensics. - Weiwei Pan; Guolong Chen (ICNC-FSKD, 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; et al. (OFC, 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 (OFC, 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)

A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations. - Weiwei Pan; Finale Doshi-Velez (CoRR, 2016)

An Improved Feature Selection Algorithm for Ordinal Classification. - Weiwei Pan; Qinhua Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Design and automatic generation of area-efficient ring oscillator based addressable test chips. - Xiaoxin Dou; Weiwei Pan; Zheng Shi 002; Yongjun Zheng (ASICON, 2017)

A novel layout automation flow to facilitate test chip design for standard cell characterization. - Ludan Yang; Weiwei Pan; Zheng Shi 002; Yongjun Zheng (ASICON, 2017)

An ordinal rough set model based on fuzzy covering for fault level identification. - Weiwei Pan; Huixin He (J. Intell. Fuzzy Syst., 2017)

Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. - Omer Gottesman; Weiwei Pan; Finale Doshi-Velez (AISTATS, 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 (OFC, 2018)

Learning Qualitatively Diverse and Interpretable Rules for Classification. - Andrew Slavin Ross; Weiwei Pan; Finale Doshi-Velez (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)

Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models. - Marouan Belhaj; Pavlos Protopapas; Weiwei Pan (CoRR, 2018)

Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. - Yaniv Yacoby; Weiwei Pan; Finale Doshi-Velez (AABI, 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 (OFC, 2019)

A general method for regularizing tensor decomposition methods via pseudo-data. - Omer Gottesman; 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)

Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. - Yaniv Yacoby; Weiwei Pan; Finale Doshi-Velez (CoRR, 2019)

Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization. - Weiwei Pan; Lirong Jian; Tao Liu (Scientometrics, 2019)

Ensembles of Locally Independent Prediction Models. - Andrew Slavin Ross; Weiwei Pan; Leo A. Celi; Finale Doshi-Velez (AAAI, 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 (ICIC (1), 2020)

Research on the Optimization of Mobile Work Terminal Positioning Function Based on LBS. - Weiwei Pan; Guang Shen; Yuebo Wu; Xiang Huang (ICIC (1), 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)

BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. - Théo Guénais; Dimitris Vamvourellis; Yaniv Yacoby; Finale Doshi-Velez; Weiwei Pan (CoRR, 2020)

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks. - Yaniv Yacoby; Weiwei Pan; Finale Doshi-Velez (CoRR, 2020)

A 1770-µm2 Leakage-Based Digital Temperature Sensor With Supply Sensitivity Suppression in 55-nm CMOS. - Zhong Tang; Yun Fang; Zheng Shi 002; Xiao-Peng Yu 002; Nianxiong Tan; Weiwei Pan (IEEE J. Solid State Circuits, 2020)

Power Constrained Bandits. - Jiayu Yao; Emma Brunskill; Weiwei Pan; Susan A. Murphy; Finale Doshi-Velez (MLHC, 2021)

Efficient online inference for nonparametric mixture models. - Rylan Schaeffer; Blake Bordelon; Mikail Khona; Weiwei Pan; Ila Rani Fiete (UAI, 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)

Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data. - Beau Coker; Weiwei Pan; Finale Doshi-Velez (CoRR, 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 Bayesian Neural Networks Ignore the Data. - Beau Coker; Wessel P. Bruinsma; David R. Burt; Weiwei Pan; Finale Doshi-Velez (AISTATS, 2022)

Policy Optimization with Sparse Global Contrastive Explanations. - Jiayu Yao; Sonali Parbhoo; 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)

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)

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)

Modeling Mobile Health Users as Reinforcement Learning Agents. - Eura Shin; Siddharth Swaroop; Weiwei Pan; Susan A. Murphy; Finale Doshi-Velez (CoRR, 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)

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; et al. (Medical Image Anal., 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)

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 (ICML, 2023)

Multimodal N-of-1 trials: A Novel Personalized Healthcare Design. - Jingjing Fu; Shuheng Liu 001; Siqi Du; Siqiao Ruan; Xuliang Guo; Weiwei Pan; Abhishek Sharma; Stefan Konigorski (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)

SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text. - Charumathi Badrinath; Weiwei Pan; 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)

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)

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., 2023)

Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. - Eura Nofshin; Siddharth Swaroop; Weiwei Pan; Susan A. Murphy; Finale Doshi-Velez (AAMAS, 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 (ICIC (10), 2024)

Inverse Reinforcement Learning with Multiple Planning Horizons. - Jiayu Yao; Weiwei Pan; Finale Doshi-Velez; Barbara E. Engelhardt (RLJ, 2024)

Unsupervised Clustering in Football Analysis: A Color-Segmentation and Lighting Adaptation Approach. - Weiwei Pan; Mian Zhou; Jifeng Wang; Jionglong Su; Angelos Stefanidis (IEEE Access, 2024)

Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders. - Yaniv Yacoby; 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; et al. (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)

Directly Optimizing Explanations for Desired Properties. - Hiwot Belay Tadesse; Alihan Hüyük; Weiwei Pan; Finale Doshi-Velez (CoRR, 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)

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., 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 Gajos; Weiwei Pan (CHIWORK, 2025)

Transparent Trade-offs between Properties of Explanations. - Hiwot Belay Tadesse; Alihan Hüyük; Yaniv Yacoby; Weiwei Pan; Finale Doshi-Velez (UAI, 2025)

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 001; Mahia Rahman; Hanspeter Pfister (Trans. Mach. Learn. Res., 2025)

Rethinking LLM Bias Probing Using Lessons from the Social Sciences. - Kirsten N. Morehouse; Siddharth Swaroop; Weiwei Pan (CoRR, 2025)

A UTAUT2 Model Expansion: Investigating the Effect of Interactive Learning Environment and Gamification on Duolingo User Base in China. - Yongxiang Zhang; Weiwei Pan (Int. J. Hum. Comput. Interact., 2025)

A scoping review of embodied conversational agents in education: trends and innovations from 2014 to 2024. - Yongxiang Zhang; Weiwei Pan (Interact. Learn. Environ., 2025)