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Peng Li 0062
Person information
- affiliation (PhD 2024): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Peng Li — disambiguation page
- Peng Li 0001
— University of California, Santa Barbara, CA, USA (and 2 more)
- Peng Li 0002
— Shandong University, School of Control Science and Engineering, Jinan, China
- Peng Li 0003
— Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Peng Li 0004
— Northwest A&F University, College of Life Science, Yangling, Shaanxi, China
- Peng Li 0005
— University of Alberta, Nanofab, Edmonton, AB, Canada
- Peng Li 0006
— University of Strathclyde, Electronic and Electrical Engineering Department, Glasgow, UK
- Peng Li 0007
— Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Peng Li 0008
— North China Electric Power University, School of Economics and Management, Beijing, China
- Peng Li 0009
— Harbin University of Commerce, School of Management, China
- Peng Li 0010
— University of Wollongong, School of Mathematics & Applied Statistics, NSW, Australia (and 2 more)
- Peng Li 0011
— Nanjing University of Posts and Telecommunications, School of Computer Science and Technology, China (and 1 more)
- Peng Li 0012
— Chinese Academy of Sciences, Institute of Semiconductors, Beijing, China
- Peng Li 0013
— Hunan University of Technology, College of Electrical and Information Engineering, Zhuzhou, China
- Peng Li 0014
— Tianjin University, Key Laboratory of Smart Grid of the Ministry of Education, China (and 1 more)
- Peng Li 0015
— National University of Defense Technology, College of Mechatronics Engineering and Automation, Changsha, China
- Peng Li 0016
— Shaanxi Normal University, School of Computer Science, China (and 2 more)
- Peng Li 0017
— University of Aizu, School of Computer Science and Engineering, Aizuwakamatsu, Japan
- Peng Li 0018 — PUC-Rio Rio de Janeiro, Brazil (and 2 more)
- Peng Li 0019
— Harbin Institute of Technology, Shenzhen Graduate School, School of Mechatronical Engineering, China (and 3 more)
- Peng Li 0020 — Microsoft Corporation, Redmond, WA, USA (and 1 more)
- Peng Li 0021 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Peng Li 0022 — Halliburton Energy Services Inc., Houston, TX, USA
- Peng Li 0023 — University of Houston, Department of Mechanical Engineering, TX, USA
- Peng Li 0024
— Imperial College London, Department of Electrical and Electronic Engineering, UK
- Peng Li 0025
— China Academy of Engineering Physics, Beijing, China
- Peng Li 0026 — ByteDance Inc., Beijing, China (and 1 more)
- Peng Li 0027
— Dalian University of Technology, School of Software Technology, China (and 1 more)
- Peng Li 0028 — Intel Corporation, Hillsboro, OR, USA (and 1 more)
- Peng Li 0029
— Harbin Engineering University, Acoustic Science and Technology Laboratory / College of Underwater Acoustic Engineering, China
- Peng Li 0030
— Tsinghua University, Institute for AI Industry Research (AIR), Beijing, China (and 3 more)
- Peng Li 0031
— Tsinghua University, Suzhou Automotive Research Institute, Vehicle Technology Group, Beijing, China (and 3 more)
- Peng Li 0032 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Peng Li 0033 — University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA
- Peng Li 0034
— Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation, China
- Peng Li 0035
— China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China
- Peng Li 0036
— Xi'an University of Technology, School of Computer Science and Engineering, China (and 1 more)
- Peng Li 0037
— Dalian Polytechnic University, School of Information Science and Engineering, China (and 1 more)
- Peng Li 0038
— Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China
- Peng Li 0039
— Yunnan University, School of Information, Kunming, China
- Peng Li 0040
— Chuzhou University, School of Geographic Information and Tourism, China
- Peng Li 0041
— Center for Disease Control and Prevention of PLA, Beijing, China
- Peng Li 0042
— North China Electric Power University, Key Lab of Condition Monitoring and Control for Power Plant Equipment, Baoding, China
- Peng Li 0043
— Yanshan University, Institute of Electrical Engineering, Qinhuangdao, China
- Peng Li 0044
— Xi'an University of Technology, Faculty of Economics and Management, China (and 1 more)
- Peng Li 0045
— Ostwestfalen-Lippe University of Applied Science, inIT, Lemgo, Germany
- Peng Li 0046
— Wuhan University of Science and Technology, College of Computer Science and Technology / Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China (and 1 more)
- Peng Li 0047 — Geo-Centers, Inc., USA
- Peng Li 0048 — France Telecom Orange Labs (Beijing), China
- Peng Li 0049 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Peng Li 0050
— North China Electric Power University, Department of Mathematics and Physics, Baoding, China (and 1 more)
- Peng Li 0051
— Beijing University of Technology, Faculty of Information Technology, Department of Automation, China (and 1 more)
- Peng Li 0052
— University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Peng Li 0053
— Power China Zhongnan Engineering Corporation Ltd., China (and 2 more)
- Peng Li 0054
— Xiangtan University, School of Information Engineering, China (and 1 more)
- Peng Li 0055 — Loughborough University, UK
- Peng Li 0056 — Alibaba Group, Hangzhou, China (and 2 more)
- Peng Li 0057
— Beijing University of Technology, China (and 3 more)
- Peng Li 0058 — University of Utah, School of Computing, UT, USA
- Peng Li 0059 — University of North Carolina, Chapel Hill, USA
- Peng Li 0060
— Ocean University of China, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Qingdao, China
- Peng Li 0061 (aka: Peng Mike Li 0061, Mike Peng Li 0061) — Intel Corporation, SerDes, high-speed I/O, HSIO, Santa Clara, CA, USA (and 2 more)
- Peng Li 0063
— Harbin Institute of Technology, School of Electronics and Information Engineering, China
- Peng Li 0064
— Nanjing University of Aeronautics and Astronautics, School of Computer Science and Technology, Shenzhen, China
- Peng Li 0065
— Chongqing University of Technology, College of Science, Department of mathematics, MOE-LSC, China
- Peng Li 0066 — Shandong Normal University, School of Mathematics and Statistics, Jinan, Shandong, China
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2020 – today
- 2024
- [b1]Peng Li:
Cleaning and Learning Over Dirty Tabular Data. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - [j7]Peng Li
, Yeye He
, Dror Yashar
, Weiwei Cui
, Song Ge
, Haidong Zhang
, Danielle Rifinski Fainman
, Dongmei Zhang
, Surajit Chaudhuri
:
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks. Proc. ACM Manag. Data 2(3): 176 (2024) - [j6]Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Relationalize Tables without Using Examples. SIGMOD Rec. 53(1): 76-85 (2024) - 2023
- [j5]Peng Li
, Zhiyi Chen
, Xu Chu
, Kexin Rong
:
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. Proc. ACM Manag. Data 1(2): 183:1-183:26 (2023) - [j4]Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. Proc. VLDB Endow. 16(11): 3391-3403 (2023) - [j3]Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini
, Sonia Bergamaschi, Donatella Firmani, Xu Chu, Peng Li, Renzhi Wu:
Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests. SIGMOD Rec. 52(2): 43-47 (2023) - [c4]Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu:
Discovering Process-Based Drivers for Case-Level Outcome Explanation. ICPM Workshops 2023: 165-178 - [i7]Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. CoRR abs/2307.14565 (2023) - [i6]Peng Li, Zhiyi Chen
, Xu Chu, Kexin Rong:
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. CoRR abs/2308.10915 (2023) - [i5]Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri:
Table-GPT: Table-tuned GPT for Diverse Table Tasks. CoRR abs/2310.09263 (2023) - 2022
- [c3]Shuang Hao
, Peng Li, Renzhi Wu, Xu Chu:
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. ICDE 2022: 1219-1231 - 2021
- [j2]Renzhi Wu
, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. Proc. VLDB Endow. 14(12): 2735-2738 (2021) - [c2]Peng Li, Xi Rao
, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang:
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks. ICDE 2021: 13-24 - [c1]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. SIGMOD Conference 2021: 1064-1076 - [i4]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. CoRR abs/2103.04489 (2021) - [i3]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. CoRR abs/2106.10821 (2021) - 2020
- [j1]Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Proc. VLDB Endow. 14(3): 255-267 (2020) - [i2]Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. CoRR abs/2005.05117 (2020)
2010 – 2019
- 2019
- [i1]Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang:
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]. CoRR abs/1904.09483 (2019)
Coauthor Index
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