Weiwei Pan - RankMe

84 papers A* 3A 5Journal 59Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring the Psychological Path of How Digital Literacy Education Alleviates Chatbot Dependency: A Study on Language Professionals Using Structural Equation Modeling. Int. J. Hum. Comput. Interact. Yongxiang Zhang, Weiwei Pan
2025	J	`jnl`	A UTAUT2 Model Expansion: Investigating the Effect of Interactive Learning Environment and Gamification on Duolingo User Base in China. Int. J. Hum. Comput. Interact. Yongxiang Zhang, Weiwei Pan
2025	J	`jnl`	A scoping review of embodied conversational agents in education: trends and innovations from 2014 to 2024. Interact. Learn. Environ. Yongxiang Zhang, Weiwei Pan
2025	J	`jnl`	Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models. Trans. Mach. Learn. Res. Salma Abdel Magid, Weiwei Pan, Simon Warchol, Grace Guo, Junsik Kim, Mahia Rahman, Hanspeter Pfister
2025	—	`conf`	Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences. ICML (Position Papers) Kirsten N. Morehouse, Siddharth Swaroop, Weiwei Pan
2025	J	`jnl`	Rethinking LLM Bias Probing Using Lessons from the Social Sciences. CoRR Kirsten N. Morehouse, Siddharth Swaroop, Weiwei Pan
2025	A	`conf`	Transparent Trade-offs between Properties of Explanations. UAI Hiwot Belay Tadesse, Alihan Hüyük, Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2024	J	`jnl`	A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning. CoRR Eura Nofshin, Esther Brown, Brian Lim, Weiwei Pan, Finale Doshi-Velez
2024	J	`jnl`	Directly Optimizing Explanations for Desired Properties. CoRR Hiwot Belay Tadesse, Alihan Hüyük, Weiwei Pan, Finale Doshi-Velez
2024	J	`jnl`	Inverse Reinforcement Learning with Multiple Planning Horizons. RLJ Jiayu Yao, Weiwei Pan, Finale Doshi-Velez, Barbara E. Engelhardt
2024	J	`jnl`	Inverse Reinforcement Learning with Multiple Planning Horizons. CoRR Jiayu Yao, Weiwei Pan, Finale Doshi-Velez, Barbara E. Engelhardt
2024	J	`jnl`	Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models. CoRR Salma Abdel Magid, Weiwei Pan, Simon Warchol, Grace Guo, Junsik Kim, Mahia Rahman, Hanspeter Pfister
2024	J	`jnl`	Knowledge generation and diffusion in science & technology: an empirical study of SiC-MOSFET based on scientific papers and patents. Technol. Anal. Strateg. Manag. Weiwei Pan, Lirong Jian, Tao Liu
2024	—	`conf`	MS-YOLOv5s: An Improved YOLOv5s for the Detection of Imperceptible Defects on Steel Surfaces. ICIC (10) Chenchen Wang, Mian Zhou, Yuan Liang, Weiwei Pan, Zan Gao
2024	A	`conf`	Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. AAMAS Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. CoRR Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning. J. Mach. Learn. Res. Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders. CoRR Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2024	J	`jnl`	Unsupervised Clustering in Football Analysis: A Color-Segmentation and Lighting Adaptation Approach. IEEE Access Weiwei Pan, Mian Zhou, Jifeng Wang, Jionglong Su, Angelos Stefanidis
2023	J	`jnl`	Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning. CoRR Lars Lien Ankile, Brian S. Ham, Kevin Mao, Eura Shin, Siddharth Swaroop, Finale Doshi-Velez, Weiwei Pan
2023	J	`jnl`	Multimodal N-of-1 trials: A Novel Personalized Healthcare Design. CoRR Jingjing Fu, Shuheng Liu, Siqi Du, Siqiao Ruan, Xuliang Guo, Weiwei Pan, Abhishek Sharma, Stefan Konigorski
2023	J	`jnl`	PSO-NRS: an online group feature selection algorithm based on PSO multi-objective optimization. Appl. Intell. Shunpan Liang, Ze Liu, Dianlong You, Weiwei Pan, Junjie Zhao, Yefan Cao
2023	J	`jnl`	SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text. CoRR Charumathi Badrinath, Weiwei Pan, Finale Doshi-Velez
2023	J	`jnl`	Signature Activation: A Sparse Signal View for Holistic Saliency. CoRR José Roberto Tello-Ayala, Akl C. Fahed, Weiwei Pan, Eugene V. Pomerantsev, Patrick T. Ellinor, Anthony Philippakis, Finale Doshi-Velez
2023	A*	`conf`	The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. ICML Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2023	J	`jnl`	The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. CoRR Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2023	J	`jnl`	Why do universal adversarial attacks work on large language models?: Geometry might be the answer. CoRR Varshini Subhash, Anna Bialas, Weiwei Pan, Finale Doshi-Velez
2022	J	`jnl`	An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks. CoRR Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez
2022	J	`jnl`	Does the explanation satisfy your needs?: A unified view of properties of explanations. CoRR Zixi Chen, Varshini Subhash, Marton Havasi, Weiwei Pan, Finale Doshi-Velez
2022	J	`jnl`	Extracting keyframes of breast ultrasound video using deep reinforcement learning. Medical Image Anal. 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
2022	J	`jnl`	Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables. J. Mach. Learn. Res. Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2022	J	`jnl`	Modeling Mobile Health Users as Reinforcement Learning Agents. CoRR Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2022	J	`jnl`	Online multi-label stream feature selection based on neighborhood rough set with missing labels. Pattern Anal. Appl. Shunpan Liang, Ze Liu, Dianlong You, Weiwei Pan
2022	J	`jnl`	Policy Optimization with Sparse Global Contrastive Explanations. CoRR Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez
2022	J	`jnl`	Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry. CoRR Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan
2022	A	`conf`	Wide Mean-Field Bayesian Neural Networks Ignore the Data. AISTATS Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez
2022	J	`jnl`	Wide Mean-Field Bayesian Neural Networks Ignore the Data. CoRR Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez
2021	J	`jnl`	An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem. Comput. Optim. Appl. Weiwei Pan, Jingjing Shen, Zi Xu
2021	A	`conf`	Efficient online inference for nonparametric mixture models. UAI Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete
2021	—	`conf`	Power Constrained Bandits. MLHC Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2021	J	`jnl`	Promises and Pitfalls of Black-Box Concept Learning Models. CoRR Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan
2021	J	`jnl`	Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data. CoRR Beau Coker, Weiwei Pan, Finale Doshi-Velez
2020	J	`jnl`	A 1770-µm IEEE J. Solid State Circuits Zhong Tang, Yun Fang, Zheng Shi, Xiao-Peng Yu, Nianxiong Tan, Weiwei Pan
2020	—	`conf`	Assessment and Application Research on the Carrying Capacity of Township Power Supply Station Based on Big Data Analysis. ICIC (1) Weiwei Pan, Guang Shen, Yuebo Wu, Xiang Huang
2020	J	`jnl`	BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. CoRR Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan
2020	J	`jnl`	Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. CoRR Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2020	A*	`conf`	Ensembles of Locally Independent Prediction Models. AAAI Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez
2020	J	`jnl`	Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks. CoRR Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2020	J	`jnl`	Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks. CoRR Sujay Thakur, Cooper Lorsung, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan
2020	J	`jnl`	Power-Constrained Bandits. CoRR Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2020	—	`conf`	Research on the Optimization of Mobile Work Terminal Positioning Function Based on LBS. ICIC (1) Weiwei Pan, Guang Shen, Yuebo Wu, Xiang Huang
2019	J	`jnl`	A general method for regularizing tensor decomposition methods via pseudo-data. CoRR Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
2019	—	`conf`	Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. AABI Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2019	J	`jnl`	Ensembles of Locally Independent Prediction Models. CoRR Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez
2019	—	`conf`	Field Trial Demonstration of Real-Time 400GbE Optical Transport over Both Conventional and Non-Contiguous Superchannels using Configurable Modulation Formats. OFC Yu Rong Zhou, Kevin Smith, Mike Gilson, Weiwei Pan, Wei Huang, Lihong Shen, Wei Peng, Kunxu Peng, Paul Brooks, Chris Cole, Chengpin Yu
2019	J	`jnl`	Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization. Scientometrics Weiwei Pan, Lirong Jian, Tao Liu
2019	J	`jnl`	Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. CoRR Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2019	J	`jnl`	Quality of Uncertainty Quantification for Bayesian Neural Network Inference. CoRR Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez
2018	J	`jnl`	Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models. CoRR Marouan Belhaj, Pavlos Protopapas, Weiwei Pan
2018	—	`conf`	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 Yu Rong Zhou, Kevin Smith, Mike Gilson, Jingxin Chen, Weiwei Pan, Youhui Chang, Shuangyuan Wu, Shipeng Wu, Ian Davis
2018	J	`jnl`	Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights. CoRR Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez
2018	J	`jnl`	Learning Qualitatively Diverse and Interpretable Rules for Classification. CoRR Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez
2018	A	`conf`	Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. AISTATS Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
2017	—	`conf`	A novel layout automation flow to facilitate test chip design for standard cell characterization. ASICON Ludan Yang, Weiwei Pan, Zheng Shi, Yongjun Zheng
2017	J	`jnl`	An ordinal rough set model based on fuzzy covering for fault level identification. J. Intell. Fuzzy Syst. Weiwei Pan, Huixin He
2017	—	`conf`	Design and automatic generation of area-efficient ring oscillator based addressable test chips. ASICON Xiaoxin Dou, Weiwei Pan, Zheng Shi, Yongjun Zheng
2016	J	`jnl`	A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations. CoRR Weiwei Pan, Finale Doshi-Velez
2016	—	`conf`	A method of off-line signature verification for digital forensics. ICNC-FSKD Weiwei Pan, Guolong Chen
2016	J	`jnl`	An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization. CoRR Arjumand Masood, Weiwei Pan, Finale Doshi-Velez
2016	J	`jnl`	An Improved Feature Selection Algorithm for Ordinal Classification. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Weiwei Pan, Qinhua Hu
2016	—	`conf`	Field trial demonstration of novel optical superchannel capacity protection for 400G using DP-16QAM and DP-QPSK with in-service OTDR fault localization. OFC Yu Rong Zhou, Kevin Smith, Paul Weir, Andrew Lord, Jingxin Chen, Weiwei Pan, Nian Zhou, Zhimin Xiao
2016	—	`conf`	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. OFC 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
2016	A*	`conf`	Optimizing the Multiclass F-Measure via Biconcave Programming. ICDM Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy
2015	J	`jnl`	Fast Level-Set-Based Inverse Lithography Algorithm for Process Robustness Improvement and Its Application. J. Comput. Sci. Technol. Zhen Geng, Zheng Shi, Xiaolang Yan, Kai-sheng Luo, Weiwei Pan
2014	J	`jnl`	An improved semi-supervised learning method for software defect prediction. J. Intell. Fuzzy Syst. Ying Ma, Weiwei Pan, Shunzhi Zhu, Huayi Yin, Jian Luo
2014	J	`jnl`	Balanced Neighborhood Classifiers for Imbalanced Data Sets. IEICE Trans. Inf. Syst. Shunzhi Zhu, Ying Ma, Weiwei Pan, Xiatian Zhu, Guangchun Luo
2014	J	`jnl`	Feature selection for monotonic classification via maximizing monotonic dependency. Int. J. Comput. Intell. Syst. Weiwei Pan, Qinghua Hu, Yanping Song, Daren Yu
2012	J	`jnl`	Array based HV/VH tree: an effective data structure for layout representation. J. Zhejiang Univ. Sci. C Jie Ren, Weiwei Pan, Yongjun Zheng, Zheng Shi, Xiaolang Yan
2012	J	`jnl`	Feature Selection for Monotonic Classification. IEEE Trans. Fuzzy Syst. Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo, Daren Yu
2012	J	`jnl`	Large-margin feature selection for monotonic classification. Knowl. Based Syst. Qinghua Hu, Weiwei Pan, Yanping Song, Daren Yu
2012	—	`conf`	Life cycle management method for smart grid asset with real option theory. ISGT Europe Guowei Wu, Hui Zhou, Weiwei Pan, Yunhe Hou
2012	—	`conf`	Risk-based life cycle cost analysis method for transmission systems. ISGT Europe Weiwei Pan, Guowei Wu, Hui Zhou, Chong Wang, Yunhe Hou
2011	—	`conf`	A fully automated large-scale addressable test chip design with high reliability. ECCTD Bo Zhang, Weiwei Pan, Yongjun Zheng, Zheng Shi, Xiaolang Yan
2011	—	`conf`	Using NMOS transistors as switches for accuracy and area-efficiency in large-scale addressable test array. ISQED Weiwei Pan, Jie Ren, Yongjun Zheng, Zheng Shi, Xiaolang Yan