default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShangling Jui
Person information
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j4]Yaxing Wang
, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang, Joost van de Weijer:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. Int. J. Comput. Vis. 132(2): 490-514 (2024)- [c29]Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma:
A Theory of Non-acyclic Generative Flow Networks. AAAI 2024: 11124-11131 - [c28]Zicheng Zhang, Haoning Wu, Zhongpeng Ji, Chunyi Li, Erli Zhang, Wei Sun, Xiaohong Liu, Xiongkuo Min, Fengyu Sun, Shangling Jui, Weisi Lin, Guangtao Zhai:
Q-Boost: On Visual Quality Assessment Ability of Low-Level Multi-Modality Foundation Models. ICME Workshops 2024: 1-6 - [c27]Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. ICML 2024 - [i30]Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. CoRR abs/2402.02791 (2024) - [i29]Zhichao Zhang, Xinyue Li, Wei Sun, Jun Jia, Xiongkuo Min, Zicheng Zhang, Chunyi Li, Zijian Chen, Puyi Wang, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Guangtao Zhai:
Benchmarking AIGC Video Quality Assessment: A Dataset and Unified Model. CoRR abs/2407.21408 (2024) - [i28]Qihang Ge, Wei Sun, Yu Zhang, Yunhao Li, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Xiongkuo Min, Guangtao Zhai:
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models. CoRR abs/2408.14008 (2024) - 2023
- [j3]Shiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, Joost van de Weijer:
Casting a BAIT for offline and online source-free domain adaptation. Comput. Vis. Image Underst. 234: 103747 (2023) - [j2]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang:
Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15883-15895 (2023) - [c26]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 - [c25]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 - [c24]Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu:
Reparameterization through Spatial Gradient Scaling. ICLR 2023 - [c23]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 - [c22]Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong:
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. ECML/PKDD (5) 2023: 36-51 - [c21]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 - [i27]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) - [i26]Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lui, Shangling Jui, Di Niu:
Reparameterization through Spatial Gradient Scaling. CoRR abs/2303.02733 (2023) - [i25]Boyu Chen, Hanxuan Chen, Jiao He, Fengyu Sun, Shangling Jui:
Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping. CoRR abs/2308.07641 (2023) - [i24]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang:
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering. CoRR abs/2309.00528 (2023) - [i23]Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Shangling Jui, Lizhuang Ma:
A Theory of Non-Acyclic Generative Flow Networks. CoRR abs/2312.15246 (2023) - [i22]Zicheng Zhang, Haoning Wu, Zhongpeng Ji, Chunyi Li, Erli Zhang, Wei Sun, Xiaohong Liu, Xiongkuo Min, Fengyu Sun, Shangling Jui, Weisi Lin, Guangtao Zhai:
Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models. CoRR abs/2312.15300 (2023) - 2022
- [c20]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 - [c19]Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer:
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. BMVC 2022: 38 - [c18]Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer:
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CVPR Workshops 2022: 3728-3738 - [c17]Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR 2022 - [c16]Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui:
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. ICLR 2022 - [c15]Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer:
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. NeurIPS 2022 - [c14]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 - [i21]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) - [i20]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) - [i19]Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer:
One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift. CoRR abs/2206.03600 (2022) - [i18]Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer:
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. CoRR abs/2210.01600 (2022) - [i17]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) - [i16]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) - [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 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 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-30 00:08 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
