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Publication search results
found 337 matches
- 2024
- Xiaozhi Du
, Shiming Zhang, Yanrong Zhou, Hongyuan Du:
A vulnerability severity prediction method based on bimodal data and multi-task learning. J. Syst. Softw. 213: 112039 (2024) - Qizhao Jin
, Xinbang Zhang
, Xinyu Xiao
, Ying Wang
, Shiming Xiang
, Chunhong Pan:
Preformer: Simple and Efficient Design for Precipitation Nowcasting With Transformers. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Fengchuan Zhang, Sanguo Zhang, Shi-Ming Li, Mingyang Ren:
Matrix regression heterogeneity analysis. Stat. Comput. 34(3): 95 (2024) - Qizhao Jin
, Xinbang Zhang
, Xinyu Xiao
, Ying Wang
, Gaofeng Meng
, Shiming Xiang
, Chunhong Pan
:
SpatioTemporal Inference Network for Precipitation Nowcasting With Multimodal Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1299-1314 (2024) - Kangkai Zhang
, Shiming Ge
, Ruixin Shi, Dan Zeng
:
Low-Resolution Object Recognition With Cross-Resolution Relational Contrastive Distillation. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2374-2384 (2024) - Gangjian Zhang
, Shikun Li
, Shikui Wei
, Shiming Ge
, Na Cai, Yao Zhao
:
Multimodal Composition Example Mining for Composed Query Image Retrieval. IEEE Trans. Image Process. 33: 1149-1161 (2024) - Chenghao Zhang
, Gaofeng Meng
, Kun Tian, Bolin Ni, Shiming Xiang
:
Active Disparity Sampling for Stereo Matching With Adjoint Network. IEEE Trans. Image Process. 33: 354-365 (2024) - Fei Yang, Huyin Zhang, Shiming Tao, Xiying Fan:
Simple hierarchical PageRank graph neural networks. J. Supercomput. 80(4): 5509-5539 (2024) - Hangzhi Jiang
, Xin Zhang
, Shiming Xiang
:
Non-Maximum Suppression Guided Label Assignment for Object Detection in Crowd Scenes. IEEE Trans. Multim. 26: 2207-2218 (2024) - Feiping Nie
, Hong Chen
, Shiming Xiang
, Changshui Zhang
, Shuicheng Yan, Xuelong Li
:
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5710-5720 (2024) - Zheng Zhang
, Shiming Chen
, Yuanshi Zheng
:
Cooperative Output Regulation for Linear Multiagent Systems via Distributed Fixed-Time Event-Triggered Control. IEEE Trans. Neural Networks Learn. Syst. 35(1): 338-347 (2024) - Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge:
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. AAAI 2024: 16732-16740 - Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge:
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. AAAI 2024: 9314-9322 - Kun Ding, Haojian Zhang, Qiang Yu, Ying Wang, Shiming Xiang, Chunhong Pan:
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning. AAAI 2024: 1528-1536 - Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li:
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models. CoRR abs/2401.07205 (2024) - Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao, Kun Zhang:
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. CoRR abs/2401.09716 (2024) - Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi:
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. CoRR abs/2402.04291 (2024) - Shiming Zhang, Zhipeng Luo, Li Yang, Fei Teng, Tianrui Li:
A Survey of Route Recommendations: Methods, Applications, and Opportunities. CoRR abs/2403.00284 (2024) - Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai:
Yi: Open Foundation Models by 01.AI. CoRR abs/2403.04652 (2024) - Kun Ding, Xiaohui Li, Qiang Yu, Ying Wang, Haojian Zhang, Shiming Xiang:
Compositional Kronecker Context Optimization for Vision-Language Models. CoRR abs/2403.11631 (2024) - Bolin Ni, Hongbo Zhao, Chenghao Zhang, Ke Hu, Gaofeng Meng, Zhaoxiang Zhang, Shiming Xiang:
Enhancing Visual Continual Learning with Language-Guided Supervision. CoRR abs/2403.16124 (2024) - Chenghao Zhang, Gaofeng Meng, Bin Fan, Kun Tian, Zhaoxiang Zhang, Shiming Xiang, Chunhong Pan:
Reusable Architecture Growth for Continual Stereo Matching. CoRR abs/2404.00360 (2024) - Kun Ding, Haojian Zhang, Qiang Yu, Ying Wang, Shiming Xiang, Chunhong Pan:
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning. CoRR abs/2404.00603 (2024) - Li Yang, Zhipeng Luo, Shiming Zhang, Fei Teng, Tianrui Li:
Continual Learning for Smart City: A Survey. CoRR abs/2404.00983 (2024) - Xiaohui Duan, Yuxuan Li, Zhao Liu, Bin Yang, Juepeng Zheng, Haohuan Fu, Shaoqing Zhang, Shiming Xu, Yang Gao, Wei Xue, Di Wei, Xiaojing Lv, Lifeng Yan, Haopeng Huang, Haitian Lu, Lingfeng Wan, Haoran Lin, Qixin Chang, Chenlin Li, Quanjie He, Zeyu Song, Xuantong Wang, Yangyang Yu, Xilong Fan, Zhaopeng Qu, Yankun Xu, Xiuwen Guo, Yunlong Fei, Zhaoying Wang, Mingkui Li, Yingjing Jiang, Lv Lu, Liang Su, Jiayu Fu, Peinan Yu, Weiguo Liu, Lixin Wu, Lanning Wang, Xin Liu, Dexun Chen, Guangwen Yang:
Kilometer-Level Coupled Modeling Using 40 Million Cores: An Eight-Year Journey of Model Development. CoRR abs/2404.10253 (2024) - Jiaqi Wang, Mengtian Kang, Yong Liu, Chi Zhang, Ying Liu, Shiming Li, Yue Qi, Wenjun Xu, Chenyu Tang, Edoardo Occhipinti, Mayinuer Yusufu, Ningli Wang, Weiling Bai, Shuo Gao, Luigi G. Occhipinti:
SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images. CoRR abs/2404.13386 (2024) - Yong Liu, Mengtian Kang, Shuo Gao, Chi Zhang, Ying Liu, Shiming Li, Yue Qi, Arokia Nathan, Wenjun Xu, Chenyu Tang, Edoardo Occhipinti, Mayinuer Yusufu, Ningli Wang, Weiling Bai, Luigi G. Occhipinti:
Diagnosis of Multiple Fundus Disorders Amidst a Scarcity of Medical Experts Via Self-supervised Machine Learning. CoRR abs/2404.13388 (2024) - 2023
- Yonghao Wu, Huyin Zhang, Cong Li, Shiming Tao, Fei Yang:
Urban ride-hailing demand prediction with multi-view information fusion deep learning framework. Appl. Intell. 53(8): 8879-8897 (2023) - Shiming Tao, Huyin Zhang, Fei Yang
, Yonghao Wu, Cong Li
:
Multiple Information Spatial-Temporal Attention based Graph Convolution Network for traffic prediction. Appl. Soft Comput. 136: 110052 (2023) - Feng Lin
, Shiming Zhang, Xujin Pu, Jizhou Lu
, Shuhui Wang:
Optimal responses of multinational firms towards non-tariff or tariff barrier: Onshore versus offshore manufacturing. Comput. Ind. Eng. 182: 109356 (2023)
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