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Wu, Bingzhe
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1

scPROTEIN: a versatile deep graph contrastive learning fram..:

Li, Wei ; Yang, Fan ; Wang, Fang...
Nature Methods.  21 (2024)  4 - p. 623-634 , 2024
Link: https://doi.org/10.1038/..
 
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2

Learning With Noisy Labels Over Imbalanced Subpopulations:

Chen, Mingcai ; Zhao, Yu ; He, Bing...
IEEE Transactions on Neural Networks and Learning Systems.  , 2024
Link: https://doi.org/10.1109/..
 
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3

Variate Associated Domain Adaptation for Unsupervised Multi..:

He, Yifan ; Bian, Yatao ; Ding, Xi...
ACM Transactions on Knowledge Discovery from Data.  , 2024
Link: https://doi.org/10.1145/..
 
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4

Rethinking and Simplifying Bootstrapped Graph Latents:

, In: Proceedings of the 17th ACM International Conference on Web Search and Data Mining,
Sun, Wangbin ; Li, Jintang ; Chen, Liang... - p. 665-673 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

SAILOR: Structural Augmentation Based Tail Node Representat..:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
Liao, Jie ; Li, Jintang ; Chen, Liang... - p. 1389-1399 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

IIB-MIL: Integrated Instance-Level and Bag-Level Multiple I..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,
Ren, Qin ; Zhao, Yu ; He, Bing... - p. 560-569 , 2023
Link: https://doi.org/10.1007/..
 
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7

Privacy Matters: Vertical Federated Linear Contextual Bandi..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Cao, Zeyu ; Liang, Zhipeng ; Wu, Bingzhe... - p. 154-166 , 2023
Link: https://dl.acm.org/doi/1..
 
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8

Attention Paper: How Generative AI Reshapes Digital Shadow ..:

, In: Proceedings of the ACM Turing Award Celebration Conference - China 2023,
Wang, Qichao ; Ma, Huan ; Wei, Wentao... - p. 143-144 , 2023
Link: https://dl.acm.org/doi/1..
 
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9

COPPER: 具有存内计算架构的组合优化问题求解器; COPPER: a combinatorial optimiz..:

Wang, Qiankun ; Li, Xingchen ; Wu, Bingzhe...
Frontiers of Information Technology & Electronic Engineering.  24 (2023)  5 - p. 731-741 , 2023
Link: https://doi.org/10.1631/..
 
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10

Post-Training Quantization on Diffusion Models:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Shang, Yuzhang ; Yuan, Zhihang ; Xie, Bin.. - p. 1972-1981 , 2023
Link: https://doi.org/10.1109/..
 
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11

Lightweight Privacy-Preserving Federated Incremental Decisi..:

Han, Zhaoyang ; Ge, Chunpeng ; Wu, Bingzhe.
IEEE Transactions on Services Computing.  , 2022
Link: https://doi.org/10.1109/..
 
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12

Solid-state phase transformation-induced residual stress in..:

Bai, Qian ; Gao, Yingming ; Wu, Bingzhe...
The International Journal of Advanced Manufacturing Technology.  120 (2022)  9-10 - p. 6747-6760 , 2022
Link: https://doi.org/10.1007/..
 
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13

Enabling High-Quality Uncertainty Quantification in a PIM D..:

, In: 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA),
Li, Xingchen ; Wu, Bingzhe ; Sun, Guangyu... - p. 1043-1055 , 2022
Link: https://doi.org/10.1109/..
 
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14

Toward Scalable and Privacy-preserving Deep Neural Network ..:

Zhou, Jun ; Zheng, Longfei ; Chen, Chaochao...
ACM Transactions on Intelligent Systems and Technology.  13 (2022)  4 - p. 1-21 , 2022
Link: https://doi.org/10.1145/..
 
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15

Trustworthy Graph Learning : Reliability, Explainability..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Wu, Bingzhe ; Bian, Yatao ; Zhang, Hengtong... - p. 4838-4839 , 2022
Link: https://dl.acm.org/doi/1..
 
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