Zhixuan Liang

According to our database, Zhixuan Liang authored at least 24 papers between 2017 and 2024.

Collaborative distances:

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

2024

Dynamic Task Offloading in Edge Computing Based on Dependency-Aware Reinforcement Learning.

Xiangchun Chen, Jiannong Cao, Yuvraj Sahni, Shan Jiang, Zhixuan Liang

IEEE Trans. Cloud Comput., 2024

Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs.

Hongjian Xu, Longlong Liao, Xinqi Liu, Shuguang Chen, Jianguo Chen, Zhixuan Liang, Yuanlong Yu

Future Gener. Comput. Syst., 2024

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots.

Chengyue Wu, Yixiao Ge, Qiushan Guo, Jiahao Wang, Zhixuan Liang, Zeyu Lu, Ying Shan, Ping Luo

CoRR, 2024

Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing.

Xiangchun Chen, Jiannong Cao, Zhixuan Liang, Yuvraj Sahni, Mingjin Zhang

CoRR, 2024

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation.

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

CoRR, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

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

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

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution.

Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MeanAP-Guided Reinforced Active Learning for Object Detection.

Zhixuan Liang, Xingyu Zeng, Rui Zhao, Ping Luo

CoRR, 2023

Design and Development of a Deformable In-Pipe Inspection Robot for Various Diameter Pipes.

Huafeng Xu, Jiannong Cao, Zhiqin Cheng, Zhixuan Liang, Jinlin Chen

IROS, 2023

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL.

Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang

Proceedings of the International Conference on Machine Learning, 2023

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners.

Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo

Proceedings of the International Conference on Machine Learning, 2023

2022

Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric.

Wei Li, Zhixuan Liang, Ping Ma, Ruobei Wang, Xiaohui Cui, Ping Chen

IEEE Trans. Cybern., 2022

STPD: Defending against ℓ0-norm attacks with space transformation.

Jinlin Chen, Jiannong Cao, Zhixuan Liang, Xiaohui Cui, Lequan Yu, Wei Li

Future Gener. Comput. Syst., 2022

From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning.

Zhixuan Liang, Jiannong Cao, Shan Jiang, Divya Saxena, Jinlin Chen, Huafeng Xu

CoRR, 2022

GraphWare: A graph-based middleware enabling multi-robot cooperation.

Jinlin Chen, Jiannong Cao, Zhixuan Liang, Zhiqin Cheng, Jia Wang

Concurr. Comput. Pract. Exp., 2022

Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation.

Zhixuan Liang, Jiannong Cao, Shan Jiang, Divya Saxena, Huafeng Xu

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021

Multi-generator GAN learning disconnected manifolds with mutual information.

Wei Li, Zhixuan Liang, Julian Neuman, Jinlin Chen, Xiaohui Cui

Knowl. Based Syst., 2021

JDGAN: Enhancing generator on extremely limited data via joint distribution.

Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Thomas C. Lam, Xiaohui Cui

Neurocomputing, 2021

FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning.

Bingjie Yan, Boyi Liu, Lujia Wang, Yize Zhou, Zhixuan Liang, Ming Liu, Cheng-Zhong Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment.

Zhixuan Liang, Jiannong Cao, Wanyu Lin, Jinlin Chen, Huafeng Xu

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020

Sketch-then-Edit Generative Adversarial Network.

Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Chao Ma, Xiaohui Cui

Knowl. Based Syst., 2020

2019

Decentralized Algorithm for Repeating Pattern Formation by Multiple Robots.

Shan Jiang, Junbin Liang, Jiannong Cao, Jia Wang, Jinlin Chen, Zhixuan Liang

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

NMF-Based Comprehensive Latent Factor Learning with Multiview Da.

Hua Zheng, Zhixuan Liang, Feng Tian, Zhong Ming

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017

A Hybrid Music Recommendation System Based on Scene-State Perception Model.

Zhixuan Liang, Zehao Tan, Zhenyue Zhuo, Xi Zhang

Proceedings of the Smart Computing and Communication, 2017