Shangling Jui - RankMe

70 papers A* 17A 6B 2C 1Journal 39Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Applying Graph Explanation to Operator Fusion. CoRR Keith G. Mills, Muhammad Fetrat Qharabagh, Weichen Qiu, Fred X. Han, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2025	J	`jnl`	Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model. ACM Trans. Multim. Comput. Commun. Appl. Zhichao Zhang, Wei Sun, Xinyue Li, Jun Jia, Xiongkuo Min, Zicheng Zhang, Chunyi Li, Zijian Chen, Puyi Wang, Fengyu Sun, Shangling Jui, Guangtao Zhai
2025	A*	`conf`	Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric. ACM Multimedia Zhichao Zhang, Wei Sun, Xinyue Li, Yunhao Li, Qihang Ge, Jun Jia, Zicheng Zhang, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Xiongkuo Min, Guangtao Zhai
2025	J	`jnl`	LMM-VQA: Advancing Video Quality Assessment With Large Multimodal Models. IEEE Trans. Circuits Syst. Video Technol. Qihang Ge, Wei Sun, Yu Zhang, Yunhao Li, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Xiongkuo Min, Guangtao Zhai
2025	C	`conf`	LPerceptual Quality Assessment of AI Generated Content Videos: a Dataset and Benchmark. ISCAS Zhichao Zhang, Wei Sun, Xinyue Li, Yunhao Li, Jun Jia, Xiongkuo Min, Zicheng Zhang, Chunyi Li, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Guangtao Zhai
2024	A*	`conf`	A Theory of Non-acyclic Generative Flow Networks. AAAI Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma
2024	J	`jnl`	Benchmarking AIGC Video Quality Assessment: A Dataset and Unified Model. CoRR 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
2024	J	`jnl`	Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric. CoRR Zhichao Zhang, Wei Sun, Xinyue Li, Yunhao Li, Qihang Ge, Jun Jia, Zicheng Zhang, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Xiongkuo Min, Guangtao Zhai
2024	J	`jnl`	LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models. CoRR Qihang Ge, Wei Sun, Yu Zhang, Yunhao Li, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Xiongkuo Min, Guangtao Zhai
2024	J	`jnl`	MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. Int. J. Comput. Vis. Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang, Joost van de Weijer
2024	J	`jnl`	Newclid: A User-Friendly Replacement for AlphaGeometry. CoRR Vladmir Sicca, Tianxiang Xia, Mathïs Fédérico, Philip John Gorinski, Simon Frieder, Shangling Jui
2024	—	`conf`	Q-Boost: On Visual Quality Assessment Ability of Low-Level Multi-Modality Foundation Models. ICME Workshops Zicheng Zhang, Haoning Wu, Zhongpeng Ji, Chunyi Li, Erli Zhang, Wei Sun, Xiaohong Liu, Xiongkuo Min, Fengyu Sun, Shangling Jui, Weisi Lin, Guangtao Zhai
2024	A*	`conf`	Rethinking Optimization and Architecture for Tiny Language Models. ICML Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang
2024	J	`jnl`	Rethinking Optimization and Architecture for Tiny Language Models. CoRR Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang
2023	A	`conf`	A General-Purpose Transferable Predictor for Neural Architecture Search. SDM Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
2023	J	`jnl`	A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
2023	J	`jnl`	A Theory of Non-Acyclic Generative Flow Networks. CoRR Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Shangling Jui, Lizhuang Ma
2023	A*	`conf`	AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
2023	A*	`conf`	AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu
2023	J	`jnl`	Casting a BAIT for offline and online source-free domain adaptation. Comput. Vis. Image Underst. Shiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, Joost van de Weijer
2023	—	`conf`	Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. ECML/PKDD (5) Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong
2023	A*	`conf`	GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2023	J	`jnl`	Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models. CoRR Zicheng Zhang, Haoning Wu, Zhongpeng Ji, Chunyi Li, Erli Zhang, Wei Sun, Xiaohong Liu, Xiongkuo Min, Fengyu Sun, Shangling Jui, Weisi Lin, Guangtao Zhai
2023	A*	`conf`	Reparameterization through Spatial Gradient Scaling. ICLR Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu
2023	J	`jnl`	Reparameterization through Spatial Gradient Scaling. CoRR Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lui, Shangling Jui, Di Niu
2023	J	`jnl`	Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping. CoRR Boyu Chen, Hanxuan Chen, Jiao He, Fengyu Sun, Shangling Jui
2023	J	`jnl`	Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
2023	J	`jnl`	Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
2022	B	`conf`	A Memory-Bounded Best-First Beam Search and Its Application to Scheduling Halide Programs. SOCS Chao Gao, Jingwei Chen, Tong Mo, Tanvir Sajed, Shangling Jui, Min Qin, Laiyuan Gong, Wei Lu
2022	J	`jnl`	AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
2022	A*	`conf`	Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. NeurIPS Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. CoRR Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
2022	A*	`conf`	Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. ICLR Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui
2022	J	`jnl`	GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2022	—	`conf`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CVPR Workshops Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift. CoRR Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
2022	A	`conf`	Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. BMVC Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. CoRR Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
2022	A*	`conf`	R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
2022	J	`jnl`	R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
2022	A*	`conf`	Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. AAAI Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong
2021	A	`conf`	Adaptive NN-based Root Cause Analysis in Volume Diagnosis for Yield Improvement. ITC Xin Huang, Min Qin, Ruosheng Xu, Cheng Chen, Shangling Jui, Zhihao Ding, Pengyun Li, Yu Huang
2021	B	`conf`	Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. ICTAI Chao Gao, Tong Mo, Taylor Zowtuk, Tanvir Sajed, Laiyuan Gong, Hanxuan Chen, Shangling Jui, Wei Lu
2021	A*	`conf`	Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. NeurIPS Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
2021	J	`jnl`	Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. CoRR Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
2021	A*	`conf`	Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. NeurIPS Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	J	`jnl`	Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	J	`jnl`	Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui
2021	J	`jnl`	Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations. CoRR Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong
2021	A*	`conf`	Generalized Source-free Domain Adaptation. ICCV Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	J	`jnl`	Generalized Source-free Domain Adaptation. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2021	A*	`conf`	Generative Adversarial Neural Architecture Search. IJCAI Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
2021	J	`jnl`	Generative Adversarial Neural Architecture Search. CoRR Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
2021	J	`jnl`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2021	J	`jnl`	L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	A	`conf`	L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	J	`jnl`	MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer
2021	A	`conf`	Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	J	`jnl`	Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	A*	`conf`	ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
2020	—	`conf`	Generative Feature Replay For Class-Incremental Learning. CVPR Workshops Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Generative Feature Replay For Class-Incremental Learning. CoRR Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Neural Architecture Search For Keyword Spotting. CoRR Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
2020	A	`conf`	Neural Architecture Search for Keyword Spotting. INTERSPEECH Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
2020	A*	`conf`	Semantic Drift Compensation for Class-Incremental Learning. CVPR Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Semantic Drift Compensation for Class-Incremental Learning. CoRR Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Unsupervised Domain Adaptation without Source Data by Casting a BAIT. CoRR Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
2019	—	`conf`	Deep Demosaicing for Edge Implementation. ICIAR (1) Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia
2019	J	`jnl`	Deep Demosaicing for Edge Implementation. CoRR Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia
2019	J	`jnl`	RNAS: Architecture Ranking for Powerful Networks. CoRR Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu