Hongmin Xu

According to our database, Hongmin Xu authored at least 15 papers between 2010 and 2024.

Collaborative distances:

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

2024

Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition.

Ye Bai, Jingping Chen, Jitong Chen, Wei Chen, Zhuo Chen, Chuang Ding, Linhao Dong, Qianqian Dong, Yujiao Du, Kepan Gao, Lu Gao, Yi Guo, Minglun Han, Ting Han, Wenchao Hu, Xinying Hu, Yuxiang Hu, Deyu Hua, Lu Huang, Mingkun Huang, Youjia Huang, Jishuo Jin, Fanliu Kong, Zongwei Lan, Tianyu Li, Xiaoyang Li, Zeyang Li, Zehua Lin, Rui Liu, Shouda Liu, Lu Lu, Yizhou Lu, Jingting Ma, Shengtao Ma, Yulin Pei, Chen Shen, Tian Tan, Xiaogang Tian, Ming Tu, Bo Wang, Hao Wang, Yuping Wang, Yuxuan Wang, Hanzhang Xia, Rui Xia, Shuangyi Xie, Hongmin Xu, Meng Yang, Bihong Zhang, Jun Zhang, Wanyi Zhang, Yang Zhang, Yawei Zhang, Yijie Zheng, Ming Zou

CoRR, 2024

2023

DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition.

Zhifeng Wang, Chunyan Zeng, Surong Duan, Hongjie Ouyang, Hongmin Xu

CoRR, 2023

Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5.

Zhifeng Wang, Jialong Yao, Chunyan Zeng, Wanxuan Wu, Hongmin Xu, Yang Yang

CoRR, 2023

Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain.

Zhifeng Wang, Wanxuan Wu, Chunyan Zeng, Jialong Yao, Yang Yang, Hongmin Xu

CoRR, 2023

2022

Bilateral Pose Transformer for Human Pose Estimation.

Chia-Chen Yen, Tao Pin, Hongmin Xu

Proceedings of the SSPS 2022: 4th International Symposium on Signal Processing Systems, Xi'an, China, March 25, 2022

Convolutional Embedding Makes Hierarchical Vision Transformer Stronger.

Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Hand Image Understanding via Deep Multi-Task Learning.

Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation.

Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation.

Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Wenqi Ren

CoRR, 2020

Robust Speaker Recognition Based on Stacked Auto-encoders.

Zhifeng Wang, Chunyan Zeng, Surong Duan, Hongjie Ouyang, Hongmin Xu

Proceedings of the Advances in Networked-Based Information Systems, 2020

2019

StyleRemix: An Interpretable Representation for Neural Image Style Transfer.

Hongmin Xu, Qiang Li, Wenbo Zhang, Wen Zheng

CoRR, 2019

2018

Neighbour Area Based Rearrangement Pixel Granularity Template Matching For Lossy Screen Content Video.

Hongmin Xu, Pin Tao, Yuan Hu

Proceedings of the 3rd International Conference on Multimedia Systems and Signal Processing, 2018

2017

Big GABA: Edited MR spectroscopy at 24 research sites.

Mark Mikkelsen, Peter B. Barker, Pallab K. Bhattacharyya, Maiken K. Brix, Pieter F. Buur, Kim M. Cecil, Kimberly L. Chan, David Y.-T. Chen, Alexander R. Craven, Koen Cuypers, Michael Dacko, Niall W. Duncan, Ulrike Dydak, David A. Edmondson, Gabriele Ende, Lars Ersland, Fei Gao, Ian Greenhouse, Ashley D. Harris, Naying He, Stefanie Heba, Nigel Hoggard, Tun-Wei Hsu, Jacobus F. A. Jansen, Alayar Kangarlu, Thomas Lange, R. Marc Lebel, Yan Li, Chien-Yuan Lin, Jy-Kang Liou, Jiing-Feng Lirng, Feng Liu, Ruoyun Ma, Celine Maes, Marta Moreno-Ortega, Scott O. Murray, Sean Noah, Ralph Noeske, Michael D. Noseworthy, Georg Oeltzschner, James J. Prisciandaro, Nicolaas A. J. Puts, Timothy P. L. Roberts, Markus Sack, Napapon Sailasuta, Muhammad G. Saleh, Michael-Paul Schallmo, Nicholas Simard, Stephan P. Swinnen, Martin Tegenthoff, Peter Truong, Guangbin Wang, Iain D. Wilkinson, Hans-Jörg Wittsack, Hongmin Xu, Fuhua Yan, Chencheng Zhang, Vadim Zipunnikov, Helge J. Zöllner, Richard A. E. Edden

NeuroImage, 2017

2012

A smoothing approximation for L∞ SVM.

Ruopeng Wang, Hongmin Xu, Hong Shi, Xu You

Proceedings of the Eighth International Conference on Natural Computation, 2012

2010

Newton's Method for L∞ Support Vector Machine Via Smoothing technique.

Ruopeng Wang, Hongmin Xu, Hong Shi

Proceedings of the Sixth International Conference on Natural Computation, 2010