no code implementations • 14 Nov 2017 • Sen Na, Mingyuan Ma, Mladen Kolar
Along with developing of Peaceman-Rachford Splittling Method (PRSM), many batch algorithms based on it have been studied very deeply.
1 code implementation • 30 Nov 2018 • Mingyuan Ma, Sen Na, Hongyu Wang, Congzhou Chen, Jin Xu
First, we build an interaction behavior graph for multi-level and multi-category data.
1 code implementation • 3 Jul 2020 • Mingyuan Ma, Sen Na, Hongyu Wang
In extensive experiments on citation networks and other heterogeneous graphs, we demonstrate that adding autoencoder constraints significantly improves the performance of graph convolutional networks.
1 code implementation • 10 Jan 2021 • Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe ma, HaoYu Yang, Bei Yu, Huazhong Yang, Yu Wang
With the down-scaling of CMOS technology, the design complexity of very large-scale integrated (VLSI) is increasing.
no code implementations • 29 Sep 2021 • Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen
MAKPConv employs a depthwise kernel to reduce resource consumption and re-calibrates the contribution of kernel points towards each neighbor point via Neighbor-Kernel attention to improve representation power.
no code implementations • 8 Sep 2022 • Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Li, Yiran Chen
However, the high demand for memory capacity and computing power makes large-scale federated adversarial training infeasible on resource-constrained edge devices.
1 code implementation • 28 Nov 2022 • Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen
In this work, we establish PIDS, a novel paradigm to jointly explore point interactions and point dimensions to serve semantic segmentation on point cloud data.
Ranked #6 on Robust 3D Semantic Segmentation on SemanticKITTI-C
Neural Architecture Search Robust 3D Semantic Segmentation +1
1 code implementation • ICCV 2023 • Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You
To address this challenge, we propose a novel method ZSCL to prevent zero-shot transfer degradation in the continual learning of vision-language models in both feature and parameter space.
no code implementations • 6 Apr 2023 • Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West
Cross-device user matching is a critical problem in numerous domains, including advertising, recommender systems, and cybersecurity.
no code implementations • 2 Apr 2024 • Wei Chen, Zhiyuan Li, Mingyuan Ma
In the rapidly evolving domain of artificial intelligence, Large Language Models (LLMs) play a crucial role due to their advanced text processing and generation abilities.