Zifeng Zhuang

According to our database, Zifeng Zhuang authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming.

Xing Lei, Xuetao Zhang, Zifeng Zhuang, Donglin Wang

CoRR, 2024

ADR-BC: Adversarial Density Weighted Regression Behavior Cloning.

Ziqi Zhang, Zifeng Zhuang, Donglin Wang, Jingzehua Xu, Miao Liu, Shuai Zhang

CoRR, 2024

Context-Former: Stitching via Latent Conditioned Sequence Modeling.

Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang

CoRR, 2024

Reinformer: Max-Return Sequence Modeling for Offline RL.

Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation.

Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning.

Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning.

Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive Proximal Policy Optimization with Upper Confidence Bound.

Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang

CoRR, 2023

RSG: Fast Learning Adaptive Skills for Quadruped Robots by Skill Graph.

Hongyin Zhang, Diyuan Shi, Zifeng Zhuang, Han Zhao, Zhenyu Wei, Feng Zhao, Sibo Gai, Shangke Lyu, Donglin Wang

CoRR, 2023

SERA: Sample Efficient Reward Augmentation in offline-to-online Reinforcement Learning.

Ziqi Zhang, Xiao Xiong, Zifeng Zhuang, Jinxin Liu, Donglin Wang

CoRR, 2023

STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization.

Yachen Kang, Li He, Jinxin Liu, Zifeng Zhuang, Donglin Wang

CoRR, 2023

RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning.

Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang, Wenbin Li

CoRR, 2023

Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization.

Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CEIL: Generalized Contextual Imitation Learning.

Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Behavior Proximal Policy Optimization.

Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

The Continuous Time Dynamical Analysis of Heart Rate Asymmetry.

Yi-Horng Lai, Jiahan Yu, Kun Su, Lin Lan, Zexin Li, Zequn Zhang, Zifeng Zhuang

Proceedings of CECNet 2022, 2022

2021

HINFShot: A Challenge Dataset for Few-Shot Node Classification in Heterogeneous Information Network.

Zifeng Zhuang, Xintao Xiang, Siteng Huang, Donglin Wang

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020

Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network.

Tiancheng Huang, Zifeng Zhuang, Shanshan Zhang, Donglin Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020