Jui, Shangling

18 publications

AAAI 2024 A Theory of Non-Acyclic Generative Flow Networks Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma

ICML 2024 Rethinking Optimization and Architecture for Tiny Language Models Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang

AAAI 2023 AIO-P: Expanding Neural Performance Predictors Beyond Image Classification Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui

NeurIPS 2023 AutoGO: Automated Computation Graph Optimization for Neural Network Evolution Mohammad Salameh, Keith Mills, Negar Hassanpour, Fred Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu

ECML-PKDD 2023 Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong

AAAI 2023 GENNAPE: Towards Generalized Neural Architecture Performance Estimators Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu

ICLR 2023 Reparameterization Through Spatial Gradient Scaling Alexander Detkov, Mohammad Salameh, Muhammad Fetrat, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu

NeurIPS 2022 Attracting and Dispersing: A Simple Approach for Source-Free Domain Adaptation Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer

ICLR 2022 Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data Yaxing Wang, Joost Van De Weijer, Lu Yu, Shangling Jui

CVPRW 2022 Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer

ICLR 2022 R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu

AAAI 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong

NeurIPS 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong

NeurIPS 2021 Exploiting the Intrinsic Neighborhood Structure for Source-Free Domain Adaptation Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui

ICCV 2021 Generalized Source-Free Domain Adaptation Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui

IJCAI 2021 Generative Adversarial Neural Architecture Search Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui

CVPR 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

CVPRW 2020 Generative Feature Replay for Class-Incremental Learning Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer