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2020 – today
- 2022
[i17]Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer:
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. CoRR abs/2205.04183 (2022)- [i16]Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR abs/2205.06454 (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) - [c13]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 - [c12]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 - [c11]Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu:
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR 2021: 4411-4420 - [c10]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Generalized Source-free Domain Adaptation. ICCV 2021: 8958-8967 - [c9]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 - [c8]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 - [c7]Xin Huang, Min Qin, Ruosheng Xu, Cheng Chen, Shangling Jui, Zhihao Ding, Pengyun Li, Yu Huang:
Adaptive NN-based Root Cause Analysis in Volume Diagnosis for Yield Improvement. ITC 2021: 30-36 - [c6]Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong:
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. NeurIPS 2021: 3732-3743 - [c5]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. NeurIPS 2021: 29393-29405 - [i15]Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR abs/2104.13742 (2021) - [i14]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) - [i13]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Generalized Source-free Domain Adaptation. CoRR abs/2108.01614 (2021) - [i12]Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong:
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations. CoRR abs/2109.08776 (2021) - [i11]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) - [i10]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) - [i9]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. CoRR abs/2110.04202 (2021) - [i8]Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong:
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. CoRR abs/2110.08896 (2021) - [i7]Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer:
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR abs/2111.04993 (2021) - 2020
- [c4]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan C. Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CVPR Workshops 2020: 915-924 - [c3]Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. CVPR 2020: 6980-6989 - [c2]Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui:
Neural Architecture Search for Keyword Spotting. INTERSPEECH 2020: 1982-1986 - [i6]Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. CoRR abs/2004.00440 (2020) - [i5]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan C. Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CoRR abs/2004.09199 (2020) - [i4]Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui:
Neural Architecture Search For Keyword Spotting. CoRR abs/2009.00165 (2020) - [i3]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Unsupervised Domain Adaptation without Source Data by Casting a BAIT. CoRR abs/2010.12427 (2020)
2010 – 2019
- 2019
- [c1]Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia:
Deep Demosaicing for Edge Implementation. ICIAR (1) 2019: 275-286 - [i2]Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia:
Deep Demosaicing for Edge Implementation. CoRR abs/1904.00775 (2019) - [i1]Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu:
RNAS: Architecture Ranking for Powerful Networks. CoRR abs/1910.01523 (2019)
Coauthor Index
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last updated on 2022-05-24 21:44 CEST by the dblp team
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