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ORCIDHuasong Zhong
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2020 – today
- 2024
[c7]Yanzhe Chen, Huasong Zhong, Xiangteng He, Yuxin Peng, Jiahuan Zhou, Lele Cheng:
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval. AAAI 2024: 1228-1236- [i9]Kaibing Chen, Dong Shen, Hanwen Zhong, Huasong Zhong, Kui Xia, Di Xu, Wei Yuan, Yifei Hu, Bin Wen, Tianke Zhang, Changyi Liu, Dewen Fan, Huihui Xiao, Jiahong Wu, Fan Yang, Size Li, Di Zhang:
EVLM: An Efficient Vision-Language Model for Visual Understanding. CoRR abs/2407.14177 (2024) - 2023
- [j3]Wei Ju
, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang:
Unsupervised graph-level representation learning with hierarchical contrasts. Neural Networks 158: 359-368 (2023) - [c6]Yanzhe Chen, Huasong Zhong, Xiangteng He, Yuxin Peng, Lele Cheng:
Real20M: A Large-scale E-commerce Dataset for Cross-domain Retrieval. ACM Multimedia 2023: 4939-4948 - 2022
- [c5]Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun:
On Mitigating Hard Clusters for Face Clustering. ECCV (12) 2022: 529-544 - [i8]Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun:
On Mitigating Hard Clusters for Face Clustering. CoRR abs/2207.11895 (2022) - 2021
- [j2]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. Neurocomputing 465: 310-324 (2021) - [j1]Huasong Zhong, Jingyuan Chen, Chen Shen, Hanwang Zhang, Jianqiang Huang, Xian-Sheng Hua:
Self-Adaptive Neural Module Transformer for Visual Question Answering. IEEE Trans. Multim. 23: 1264-1273 (2021) - [c4]Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. ICCV 2021: 9204-9213 - [c3]Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng:
Deep Unsupervised Hashing by Distilled Smooth Guidance. ICME 2021: 1-6 - [c2]Xiao Luo, Yuhang Guo, Zeyu Ma, Huasong Zhong, Tao Li, Wei Ju, Chong Chen, Minghua Deng:
Deep Supervised Hashing by Classification for Image Retrieval. ICONIP (4) 2021: 3-14 - [i7]Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. CoRR abs/2104.01429 (2021) - [i6]Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng:
Deep Unsupervised Hashing by Distilled Smooth Guidance. CoRR abs/2105.06125 (2021) - [i5]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. CoRR abs/2110.01384 (2021) - 2020
- [i4]Xiao Luo, Chong Chen, Huasong Zhong, Hao Zhang, Minghua Deng, Jianqiang Huang, Xiansheng Hua:
A Survey on Deep Hashing Methods. CoRR abs/2003.03369 (2020) - [i3]Huasong Zhong, Chong Chen, Zhongming Jin, Xian-Sheng Hua:
Deep Robust Clustering by Contrastive Learning. CoRR abs/2008.03030 (2020) - [i2]Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Huasong Zhong, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua:
CIMON: Towards High-quality Hash Codes. CoRR abs/2010.07804 (2020)
2010 – 2019
- 2019
- [c1]Yihui He, Xianggen Liu, Huasong Zhong, Yuchun Ma:
AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks. WACV 2019: 1213-1222 - 2018
- [i1]Huasong Zhong, Xianggen Liu, Yihui He, Yuchun Ma:
Shift-based Primitives for Efficient Convolutional Neural Networks. CoRR abs/1809.08458 (2018)
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