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Publication search results
found 41 matches
- 2024
- Junxiang Li
, Wenfu Xu
, Wenshuo Li
, Lei Yan
, Bin Liang
:
Design and Development of Composite Linkage Mechanism for Cable-Driven Segmented Manipulator to Increase Synchronous Accuracy and Transmission Distance. IEEE Robotics Autom. Lett. 9(1): 25-32 (2024) - Junxiang Wang
, Hongyi Li, Zheng Chai, Yongchao Wang
, Yue Cheng
, Liang Zhao:
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4491-4501 (2024) - Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao:
Non-Euclidean Spatial Graph Neural Network. SDM 2024: 154-162 - Junxiang Wang, Liang Zhao:
GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets. CoRR abs/2405.03724 (2024) - 2023
- Liangdong Zhang
, Keyan Jia, Junxiang Liu
, Guijie Wang
, Weimin Huang
:
Design of Blind Guiding Robot Based on Speed Adaptation and Visual Recognition. IEEE Access 11: 75971-75978 (2023) - Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng:
Surrogate-Assisted Morphology Optimization by Genetic Algorithms. CEC 2023: 1-8 - Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao:
Deep Graph Representation Learning and Optimization for Influence Maximization. ICML 2023: 21350-21361 - Zheng Zhang, Junxiang Wang, Liang Zhao:
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First. NeurIPS 2023 - Wenshuo Li
, Bin Liang, Boyang Lin, Junxiang Li, Wenfu Xu:
Pose-Shape Unified Planning of Cable-driven Serial Manipulators based on Multiple Arm-Angle Construction. ROBIO 2023: 1-6 - Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca:
Sign-Regularized Multi-Task Learning. SDM 2023: 793-801 - Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Lukas Xue, James Song, Meikang Qiu, Liang Zhao:
Deep Graph Representation Learning and Optimization for Influence Maximization. CoRR abs/2305.02200 (2023) - Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao:
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR abs/2305.18703 (2023) - Zheng Zhang, Junxiang Wang, Liang Zhao:
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First. CoRR abs/2310.18735 (2023) - Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao:
Non-Euclidean Spatial Graph Neural Network. CoRR abs/2312.10808 (2023) - Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen:
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR abs/2312.12276 (2023) - 2022
- Junxiang Wang, Hongyi Li, Liang Zhao:
Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization. Neurocomputing 487: 130-143 (2022) - Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao:
DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM 2022: 1065-1070 - Chen Ling, Junji Jiang, Junxiang Wang
, Liang Zhao:
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. KDD 2022: 1010-1020 - Junxiang Wang, Liang Zhao:
Convergence and Applications of ADMM on the Multi-convex Problems. PAKDD (2) 2022: 30-43 - Shuai Guo, Junxiang Liang, Lei Shi, Xiaoheng Jiang, Qidong Liu, Yazhou Hu, Mingliang Xu:
An object detection method from 3D point clouds based on seed filtering. ROBIO 2022: 1180-1185 - Junxiang Wang, Junji Jiang, Liang Zhao:
An Invertible Graph Diffusion Neural Network for Source Localization. WWW 2022: 1058-1069 - Junxiang Wang, Junji Jiang, Liang Zhao:
An Invertible Graph Diffusion Neural Network for Source Localization. CoRR abs/2206.09214 (2022) - Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao:
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. CoRR abs/2206.12327 (2022) - Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao:
DeepGAR: Deep Graph Learning for Analogical Reasoning. CoRR abs/2211.10821 (2022) - 2021
- Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina L. Abad:
Sign-regularized Multi-task Learning. CoRR abs/2102.11191 (2021) - Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao:
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework. CoRR abs/2105.09837 (2021) - Hongyi Li, Junxiang Wang, Yongchao Wang, Yue Cheng, Liang Zhao:
Community-based Layerwise Distributed Training of Graph Convolutional Networks. CoRR abs/2112.09335 (2021) - Junxiang Wang, Hongyi Li, Liang Zhao:
A Convergent ADMM Framework for Efficient Neural Network Training. CoRR abs/2112.11619 (2021) - Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao:
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR abs/2112.12356 (2021) - 2020
- Junxiang Li, Liang Yao, Xin Xu
, Bang Cheng, Junkai Ren:
Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving. Inf. Sci. 532: 110-124 (2020)
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