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Wei Lu 0023
Person information
- affiliation: Huawei Technologies Canada Company Ltd., Edmonton, Canada
Other persons with the same name
- Wei Lu — disambiguation page
- Wei Lu 0001 — Sun Yat-sen University, School of Information Science and Technology, Guangzhou, China (and 2 more)
- Wei Lu 0002 — Rupert Labs, Mountain View, CA, USA (and 1 more)
- Wei Lu 0003 (aka: Wei D. Lu) — University of Michigan, Department of Electrical Engineering and Computer Science, MI, USA (and 3 more)
- Wei Lu 0004 — Oak Ridge Naional Laboratory, Computational Science and Engineering Division, Knoxville, TN, USA (and 1 more)
- Wei Lu 0005 — Dalian University of Technology, School of Control Science and Engineering, China
- Wei Lu 0006 — University of Electronic Science and Technology of China, School of Management and Economics, Chengdu, China (and 1 more)
- Wei Lu 0007 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- Wei Lu 0008 — Wuhan University, School of Resource and Environmental Sciences, China
- Wei Lu 0009 — Hefei University of Technology, School of Electrical Engineering and Automation, China
- Wei Lu 0010 — Beijing Jiaotong University, School of Software Engineering, China (and 1 more)
- Wei Lu 0011 — Singapore University of Technology and Design, Singapore (and 1 more)
- Wei Lu 0012 — University of Paris-Saclay, France
- Wei Lu 0013 — Air Force Early Warning Academy, Wuhan, China
- Wei Lu 0014 — Tianjin University, School of Microelectronics, China
- Wei Lu 0015 — Renmin University of China, School of Information and DEKE, Beijing, China
- Wei Lu 0016 — Jiangxi Normal University, School of Software, Nanchang, China
- Wei Lu 0017 — University of New South Wales, Graduate School of Biomedical Engineering, Sydney, NSW, Australia
- Wei Lu 0018 — Keene State College, NH, USA (and 1 more)
- Wei Lu 0019 — Wuhan University, School of Information Management, China
- Wei Lu 0020 — University of Toronto, Toronto, ON, Canada
- Wei Lu 0021 — Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering, China
- Wei Lu 0022 — Southeast University, School of Mathematics, Nanjing, China
- Wei Lu 0024 — Iowa State University, Ames, IA, USA
- Wei Lu 0025 — Memorial Sloan Kettering Cancer Center, Department of Medical Physics, NY, USA (and 3 more)
- Wei Lu 0026 — Tianjin University, School of Electrical and Information Engineering, China
- Wei Lu 0027 — National Institute of Informatics, Japan (and 1 more)
- Wei Lu 0028 — Hewlett-Packard, IPG R&D Hub, Singapore (and 2 more)
- Wei Lu 0029 — Tsinghua University, Department of Engineering Physics, Beijing, China (and 1 more)
- Wei Lu 0030 — Ant Group: Hangzhou, China
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2020 – today
- 2024
- [i7]Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohan Sai Singamsetti, Fengyu Sun, Wei Lu, Di Niu:
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. CoRR abs/2408.11706 (2024) - 2023
- [c10]Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI 2023: 9180-9189 - [c9]Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI 2023: 9190-9199 - [c8]Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu:
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS 2023 - [c7]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. SDM 2023: 721-729 - [i6]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR abs/2302.10835 (2023) - 2022
- [c6]Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong:
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. AAAI 2022: 3859-3867 - [c5]Chao Gao, Jingwei Chen, Tong Mo, Tanvir Sajed, Shangling Jui, Min Qin, Laiyuan Gong, Wei Lu:
A Memory-Bounded Best-First Beam Search and Its Application to Scheduling Halide Programs. SOCS 2022: 74-82 - [i5]Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR abs/2211.17226 (2022) - [i4]Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR abs/2211.17228 (2022) - 2021
- [j1]Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui:
Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access 9: 110962-110974 (2021) - [c4]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM 2021: 1284-1293 - [c3]Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM 2021: 4026-4035 - [c2]Chao Gao, Tong Mo, Taylor Zowtuk, Tanvir Sajed, Laiyuan Gong, Hanxuan Chen, Shangling Jui, Wei Lu:
Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. ICTAI 2021: 273-278 - [c1]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. IJCAI 2021: 2227-2234 - [i3]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. CoRR abs/2105.09356 (2021) - [i2]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR abs/2109.12425 (2021) - [i1]Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR abs/2109.12426 (2021)
Coauthor Index
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last updated on 2024-11-04 21:41 CET by the dblp team
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