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Weiwei Pan
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Journal Articles
- 2024
- [j18]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): 1587-1603 (2024) - 2023
- [j17]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): 15095-15111 (2023) - 2022
- [j16]Shunpan Liang
, Weiwei Pan, Dianlong You, Ze Liu, Ling Yin:
Incremental deep forest for multi-label data streams learning. Appl. Intell. 52(12): 13398-13414 (2022) - [j15]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: 244:1-244:54 (2022) - [j14]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: 102490 (2022) - [j13]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): 1025-1039 (2022) - 2021
- [j12]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): 287-306 (2021) - 2020
- [j11]Zhong Tang
, Yun Fang
, Zheng Shi, Xiao-Peng Yu
, Nianxiong Tan, Weiwei Pan:
A 1770-µm2 Leakage-Based Digital Temperature Sensor With Supply Sensitivity Suppression in 55-nm CMOS. IEEE J. Solid State Circuits 55(3): 781-793 (2020) - 2019
- [j10]Weiwei Pan
, Lirong Jian, Tao Liu:
Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization. Scientometrics 121(3): 1407-1434 (2019) - 2017
- [j9]Weiwei Pan, Huixin He:
An ordinal rough set model based on fuzzy covering for fault level identification. J. Intell. Fuzzy Syst. 33(5): 2979-2985 (2017) - 2016
- [j8]Weiwei Pan, Qinhua Hu:
An Improved Feature Selection Algorithm for Ordinal Classification. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(12): 2266-2274 (2016) - 2015
- [j7]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): 629-638 (2015) - 2014
- [j6]Shunzhi Zhu, Ying Ma, Weiwei Pan, Xiatian Zhu, Guangchun Luo:
Balanced Neighborhood Classifiers for Imbalanced Data Sets. IEICE Trans. Inf. Syst. 97-D(12): 3226-3229 (2014) - [j5]Weiwei Pan, Qinghua Hu, Yanping Song, Daren Yu:
Feature selection for monotonic classification via maximizing monotonic dependency. Int. J. Comput. Intell. Syst. 7(3): 543-555 (2014) - [j4]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): 2473-2480 (2014) - 2012
- [j3]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): 232-237 (2012) - [j2]Qinghua Hu, Weiwei Pan, Yanping Song, Daren Yu:
Large-margin feature selection for monotonic classification. Knowl. Based Syst. 31: 8-18 (2012) - [j1]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): 69-81 (2012)
Conference and Workshop Papers
- 2024
- [c23]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: 1482-1491 - [c22]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: 404-415 - 2023
- [c21]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: 28746-28767 - 2022
- [c20]Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez:
Wide Mean-Field Bayesian Neural Networks Ignore the Data. AISTATS 2022: 5276-5333 - 2021
- [c19]Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Power Constrained Bandits. MLHC 2021: 209-259 - [c18]Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete:
Efficient online inference for nonparametric mixture models. UAI 2021: 2072-2081 - 2020
- [c17]Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez:
Ensembles of Locally Independent Prediction Models. AAAI 2020: 5527-5536 - [c16]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: 548-555 - [c15]Weiwei Pan, Guang Shen, Yuebo Wu, Xiang Huang:
Research on the Optimization of Mobile Work Terminal Positioning Function Based on LBS. ICIC (1) 2020: 556-564 - 2019
- [c14]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. AABI 2019: 1-17 - [c13]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: 1-3 - 2018
- [c12]Omer Gottesman, Weiwei Pan, Finale Doshi-Velez:
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. AISTATS 2018: 1664-1672 - [c11]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: 1-3 - 2017
- [c10]Ludan Yang, Weiwei Pan, Zheng Shi, Yongjun Zheng:
A novel layout automation flow to facilitate test chip design for standard cell characterization. ASICON 2017: 88-91 - [c9]Xiaoxin Dou, Weiwei Pan, Zheng Shi, Yongjun Zheng:
Design and automatic generation of area-efficient ring oscillator based addressable test chips. ASICON 2017: 492-495 - 2016
- [c8]Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy:
Optimizing the Multiclass F-Measure via Biconcave Programming. ICDM 2016: 1101-1106 - [c7]Weiwei Pan, Guolong Chen:
A method of off-line signature verification for digital forensics. ICNC-FSKD 2016: 488-493 - [c6]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:
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 2016: 1-3 - [c5]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: 1-3 - 2012
- [c4]Weiwei Pan, Guowei Wu, Hui Zhou, Chong Wang, Yunhe Hou:
Risk-based life cycle cost analysis method for transmission systems. ISGT Europe 2012: 1-5 - [c3]Guowei Wu, Hui Zhou, Weiwei Pan, Yunhe Hou:
Life cycle management method for smart grid asset with real option theory. ISGT Europe 2012: 1-6 - 2011
- [c2]Bo Zhang, Weiwei Pan, Yongjun Zheng, Zheng Shi, Xiaolang Yan:
A fully automated large-scale addressable test chip design with high reliability. ECCTD 2011: 61-64 - [c1]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: 533-538
Informal and Other Publications
- 2024
- [i32]Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. CoRR abs/2401.14923 (2024) - [i31]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders. CoRR abs/2403.08941 (2024) - [i30]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 abs/2405.20195 (2024) - [i29]Eura Nofshin, Esther Brown, Brian Lim, Weiwei Pan, Finale Doshi-Velez:
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning. CoRR abs/2406.00116 (2024) - 2023
- [i28]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 abs/2302.07547 (2023) - [i27]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 abs/2306.11208 (2023) - [i26]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 abs/2307.08169 (2023) - [i25]Charumathi Badrinath, Weiwei Pan, Finale Doshi-Velez:
SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text. CoRR abs/2308.01420 (2023) - [i24]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 abs/2309.00254 (2023) - [i23]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 abs/2309.11443 (2023) - 2022
- [i22]Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez:
Wide Mean-Field Bayesian Neural Networks Ignore the Data. CoRR abs/2202.11670 (2022) - [i21]Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez:
Policy Optimization with Sparse Global Contrastive Explanations. CoRR abs/2207.06269 (2022) - [i20]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 abs/2208.01705 (2022) - [i19]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 abs/2211.05667 (2022) - [i18]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 abs/2211.09184 (2022) - [i17]Eura Shin, Siddharth Swaroop
, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Modeling Mobile Health Users as Reinforcement Learning Agents. CoRR abs/2212.00863 (2022) - 2021
- [i16]Beau Coker, Weiwei Pan, Finale Doshi-Velez:
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data. CoRR abs/2106.07052 (2021) - [i15]Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan:
Promises and Pitfalls of Black-Box Concept Learning Models. CoRR abs/2106.13314 (2021) - 2020
- [i14]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. CoRR abs/2003.07756 (2020) - [i13]Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Power-Constrained Bandits. CoRR abs/2004.06230 (2020) - [i12]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 abs/2006.11695 (2020) - [i11]Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan:
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. CoRR abs/2007.06096 (2020) - [i10]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks. CoRR abs/2007.07124 (2020) - 2019
- [i9]Omer Gottesman, Weiwei Pan, Finale Doshi-Velez:
A general method for regularizing tensor decomposition methods via pseudo-data. CoRR abs/1905.10424 (2019) - [i8]Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez:
Quality of Uncertainty Quantification for Bayesian Neural Network Inference. CoRR abs/1906.09686 (2019) - [i7]Yaniv Yacoby
, Weiwei Pan, Finale Doshi-Velez:
Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. CoRR abs/1911.00569 (2019) - [i6]Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez:
Ensembles of Locally Independent Prediction Models. CoRR abs/1911.01291 (2019) - 2018
- [i5]Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez:
Learning Qualitatively Diverse and Interpretable Rules for Classification. CoRR abs/1806.08716 (2018) - [i4]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 abs/1811.07006 (2018) - [i3]Marouan Belhaj, Pavlos Protopapas, Weiwei Pan:
Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models. CoRR abs/1812.03123 (2018) - 2016
- [i2]Weiwei Pan, Finale Doshi-Velez:
A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations. CoRR abs/1604.00653 (2016) - [i1]Arjumand Masood, Weiwei Pan, Finale Doshi-Velez:
An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization. CoRR abs/1606.06250 (2016)
Coauthor Index
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