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Zhixuan Liang
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2020 – today
- 2024
- [j8]Hongjian Xu, Longlong Liao
, Xinqi Liu
Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs. Future Gener. Comput. Syst. 161: 404-414 (2024) - [j7]Xiangchun Chen
Dynamic Task Offloading in Edge Computing Based on Dependency-Aware Reinforcement Learning. IEEE Trans. Cloud Comput. 12(2): 594-608 (2024) - [c11]Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo:
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution. CVPR 2024: 16467-16476 - [c10]Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo:
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. ICML 2024 - [i10]Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo:
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. CoRR abs/2402.14623 (2024) - [i9]Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo:
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. CoRR abs/2402.16117 (2024) - [i8]Xiangchun Chen, Jiannong Cao, Zhixuan Liang, Yuvraj Sahni, Mingjin Zhang:
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing. CoRR abs/2403.08687 (2024) - [i7]Chengyue Wu, Yixiao Ge, Qiushan Guo, Jiahao Wang, Zhixuan Liang, Zeyu Lu, Ying Shan, Ping Luo:
Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots. CoRR abs/2405.07990 (2024) - 2023
- [c9]Zhixuan Liang
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. ICML 2023: 20725-20745 - [c8]Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. ICML 2023: 26087-26105 - [c7]Huafeng Xu, Jiannong Cao, Zhiqin Cheng, Zhixuan Liang, Jinlin Chen:
Design and Development of a Deformable In-Pipe Inspection Robot for Various Diameter Pipes. IROS 2023: 2439-2446 - [i6]Zhixuan Liang
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. CoRR abs/2302.01877 (2023) - [i5]Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. CoRR abs/2305.19923 (2023) - [i4]Zhixuan Liang
MeanAP-Guided Reinforced Active Learning for Object Detection. CoRR abs/2310.08387 (2023) - [i3]Zhixuan Liang
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution. CoRR abs/2312.11598 (2023) - 2022
- [j6]Jinlin Chen
GraphWare: A graph-based middleware enabling multi-robot cooperation. Concurr. Comput. Pract. Exp. 34(17) (2022) - [j5]Jinlin Chen
STPD: Defending against ℓ0-norm attacks with space transformation. Future Gener. Comput. Syst. 126: 225-236 (2022) - [j4]Wei Li
Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric. IEEE Trans. Cybern. 52(10): 10407-10419 (2022) - [c6]Zhixuan Liang, Jiannong Cao, Shan Jiang, Divya Saxena, Huafeng Xu:
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation. ICDCS 2022: 884-894 - [i2]Zhixuan Liang, Jiannong Cao, Shan Jiang, Divya Saxena, Jinlin Chen, Huafeng Xu:
From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning. CoRR abs/2206.09590 (2022) - [i1]Zhixuan Liang, Jiannong Cao, Shan Jiang, Divya Saxena, Huafeng Xu:
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation. CoRR abs/2206.12718 (2022) - 2021
- [j3]Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Thomas C. Lam
JDGAN: Enhancing generator on extremely limited data via joint distribution. Neurocomputing 431: 148-162 (2021) - [j2]Wei Li, Zhixuan Liang, Julian Neuman, Jinlin Chen, Xiaohui Cui:
Multi-generator GAN learning disconnected manifolds with mutual information. Knowl. Based Syst. 212: 106513 (2021) - [c5]Zhixuan Liang, Jiannong Cao, Wanyu Lin, Jinlin Chen, Huafeng Xu:
Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment. CogMI 2021: 272-281 - [c4]Bingjie Yan, Boyi Liu, Lujia Wang, Yize Zhou, Zhixuan Liang, Ming Liu, Cheng-Zhong Xu
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning. IJCNN 2021: 1-8 - 2020
- [j1]Wei Li, Linchuan Xu
Sketch-then-Edit Generative Adversarial Network. Knowl. Based Syst. 203: 106102 (2020)
2010 – 2019
- 2019
- [c3]Hua Zheng, Zhixuan Liang, Feng Tian, Zhong Ming:
NMF-Based Comprehensive Latent Factor Learning with Multiview Da. ICIP 2019: 489-493 - [c2]Shan Jiang
Decentralized Algorithm for Repeating Pattern Formation by Multiple Robots. ICPADS 2019: 594-601 - 2017
- [c1]Zhixuan Liang, Zehao Tan, Zhenyue Zhuo, Xi Zhang:
A Hybrid Music Recommendation System Based on Scene-State Perception Model. SmartCom 2017: 19-26
Coauthor Index
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last updated on 2024-10-07 01:29 CEST by the dblp team
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