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Publication search results
found 41 matches
- 2024
- Hongjian Xu, Longlong Liao, Xinqi Liu, Shuguang Chen, Jianguo Chen, Zhixuan Liang, Yuanlong Yu:
Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs. Future Gener. Comput. Syst. 161: 404-414 (2024) - Xiangchun Chen, Jiannong Cao, Yuvraj Sahni, Shan Jiang, Zhixuan Liang:
Dynamic Task Offloading in Edge Computing Based on Dependency-Aware Reinforcement Learning. IEEE Trans. Cloud Comput. 12(2): 594-608 (2024) - 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 - Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - 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 - Yunpeng Xiao, Kyrie Zhixuan Zhou, Yueqing Liang, Kai Shu:
Understanding the concerns and choices of public when using large language models for healthcare. CoRR abs/2401.09090 (2024) - 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) - 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) - 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) - 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) - Liang Feng, Ming Xu, Lihua Wen, Zhixuan Shen:
GatedUniPose: A Novel Approach for Pose Estimation Combining UniRepLKNet and Gated Convolution. CoRR abs/2409.07752 (2024) - Liang Feng, Zhixuan Shen, Lihua Wen, Shiyao Li, Ming Xu:
GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions. CoRR abs/2409.07798 (2024) - 2023
- Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo:
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. ICML 2023: 20725-20745 - 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 - Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng:
LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening. IJCAI 2023: 4647-4655 - 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 - Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo:
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. CoRR abs/2302.01877 (2023) - 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) - Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - Zhixuan Liang, Xingyu Zeng, Rui Zhao, Ping Luo:
MeanAP-Guided Reinforced Active Learning for Object Detection. CoRR abs/2310.08387 (2023) - Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo:
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution. CoRR abs/2312.11598 (2023) - 2022
- Jinlin Chen, Jiannong Cao, Zhixuan Liang, Zhiqin Cheng, Jia Wang:
GraphWare: A graph-based middleware enabling multi-robot cooperation. Concurr. Comput. Pract. Exp. 34(17) (2022) - Jinlin Chen, Jiannong Cao, Zhixuan Liang, Xiaohui Cui, Lequan Yu, Wei Li:
STPD: Defending against ℓ0-norm attacks with space transformation. Future Gener. Comput. Syst. 126: 225-236 (2022) - Wei Li, Zhixuan Liang, Ping Ma, Ruobei Wang, Xiaohui Cui, Ping Chen:
Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric. IEEE Trans. Cybern. 52(10): 10407-10419 (2022) - Zhixuan Zhong, Liangyu Chai, Yang Zhou, Bailin Deng, Jia Pan, Shengfeng He:
Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations. CVPR 2022: 5698-5707 - 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 - Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng:
SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening. IJCAI 2022: 841-847 - 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) - 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
- Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Thomas C. Lam, Xiaohui Cui:
JDGAN: Enhancing generator on extremely limited data via joint distribution. Neurocomputing 431: 148-162 (2021)
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