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2020 – today
- 2024
[i8]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:
Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition. CoRR abs/2407.04675 (2024)- 2023
- [i7]Zhifeng Wang
, Wanxuan Wu, Chunyan Zeng, Jialong Yao, Yang Yang, Hongmin Xu:
Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain. CoRR abs/2303.04477 (2023) - [i6]Zhifeng Wang, Jialong Yao, Chunyan Zeng, Wanxuan Wu, Hongmin Xu, Yang Yang:
Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5. CoRR abs/2303.10916 (2023) - [i5]Zhifeng Wang, Chunyan Zeng, Surong Duan, Hongjie Ouyang, Hongmin Xu:
DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition. CoRR abs/2307.02751 (2023) - 2022
- [c8]Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu:
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger. ECCV (20) 2022: 739-756 - [c7]Chia-Chen Yen, Tao Pin, Hongmin Xu:
Bilateral Pose Transformer for Human Pose Estimation. SSPS 2022: 21-29 - [i4]Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu:
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger. CoRR abs/2207.13317 (2022) - 2021
- [c6]Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren:
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. CVPR 2021: 13956-13967 - [c5]Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu:
Hand Image Understanding via Deep Multi-Task Learning. ICCV 2021: 11261-11272 - [i3]Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu:
Hand Image Understanding via Deep Multi-Task Learning. CoRR abs/2107.11646 (2021) - 2020
- [c4]Zhifeng Wang, Chunyan Zeng, Surong Duan, Hongjie Ouyang, Hongmin Xu:
Robust Speaker Recognition Based on Stacked Auto-encoders. NBiS 2020: 390-399 - [i2]Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Wenqi Ren:
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. CoRR abs/2003.11883 (2020)
2010 – 2019
- 2019
- [i1]Hongmin Xu, Qiang Li, Wenbo Zhang, Wen Zheng:
StyleRemix: An Interpretable Representation for Neural Image Style Transfer. CoRR abs/1902.10425 (2019) - 2018
- [c3]Hongmin Xu, Pin Tao, Yuan Hu:
Neighbour Area Based Rearrangement Pixel Granularity Template Matching For Lossy Screen Content Video. ICMSSP 2018: 1-5 - 2017
- [j1]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:
Big GABA: Edited MR spectroscopy at 24 research sites. NeuroImage 159: 32-45 (2017) - 2012
- [c2]Ruopeng Wang, Hongmin Xu, Hong Shi, Xu You:
A smoothing approximation for L∞ SVM. ICNC 2012: 49-52 - 2010
- [c1]Ruopeng Wang, Hongmin Xu, Hong Shi:
Newton's Method for L∞ Support Vector Machine Via Smoothing technique. ICNC 2010: 436-440
Coauthor Index
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