Vosoughi, Soroush
142  results:
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1

Enhancing Network Role Modeling: Introducing Attributed Mul..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Wang, Lili ; Huang, Chenghan ; Yao, Ruiye... - p. 301-313 , 2024
 
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2

Graph-Level Embedding for Time-Evolving Graphs:

, In: Companion Proceedings of the ACM Web Conference 2023,
Wang, Lili ; Huang, Chenghan ; Cao, Xinyuan.. - p. 5-8 , 2023
 
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4

Improving Representation Learning for Histopathologic Image..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Wu, Weiyi ; Gao, Chongyang ; DiPalma, Joseph.. - p. 21347-21357 , 2023
 
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5

Hyperbolic Node Structural Role Embedding:

, In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW),
Wang, Lili ; Huang, Chenghan ; Ma, Weicheng.. - p. 1162-1169 , 2023
 
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6

Joint Latent Topic Discovery and Expectation Modeling for F..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Wang, Lili ; Huang, Chenghan ; Gao, Chongyang.. - p. 45-57 , 2023
 
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10

Going Beyond Accuracy: Interpretability Metrics for CNN Rep..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),
Gu, Kang ; Prioleau, Temiloluwa ; Vosoughi, Soroush - p. 4507-4513 , 2022
 
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11

Dynamic Structural Role Node Embedding for User Modeling in..:

Wang, Lili ; Huang, Chenghan ; Lu, Ying...
ACM Transactions on Information Systems.  40 (2022)  3 - p. 1-21 , 2022
 
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12

Towards Interpretable Deep Reinforcement Learning Models vi..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),
 
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