Seuraa
Yan Zhu
Yan Zhu
Google
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Semantic Amodal Segmentation
Y Zhu, Y Tian, D Metaxas, P Dollár
Computer Vision and Pattern Recognition (CVPR), 2017, 2015
1762015
Better Computer Go Player with Neural Network and Long-term Prediction
Y Tian, Y Zhu
International Conference on Learning Representation (ICLR) 2016, 2015
1292015
Sparse coding on local spatial-temporal volumes for human action recognition
Y Zhu, X Zhao, Y Fu, Y Liu
Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011
1082011
Explainable Fairness in Recommendation
Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang
SIGIR 2022, 2022
492022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
J Kang, Y Zhu, Y Xia, J Luo, H Tong
Proceedings of the ACM Web Conference 2022, 1214-1225, 2022
442022
Computing the M most probable modes of a graphical model
C Chen, V Kolmogorov, Y Zhu, D Metaxas, C Lampert
Artificial Intelligence and Statistics, 161-169, 2013
422013
What is new in our city? a framework for event extraction using social media posts
C Xia, J Hu, Y Zhu, M Naaman
Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015
282015
Scalable histopathological image analysis via active learning
Y Zhu, S Zhang, W Liu, DN Metaxas
International Conference on Medical Image Computing and Computer-Assisted …, 2014
262014
Video classification via weakly supervised sequence modeling
J Liu, C Chen, Y Zhu, W Liu, DN Metaxas
Computer Vision and Image Understanding 152, 79-87, 2016
182016
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
Y Zhang, H Tong, Y Xia, Y Zhu, Y Chi, L Ying
AAAI 2022, 2022
142022
Time-based Sequence Model for Personalization and Recommendation Systems
T Ishkhanov, M Naumov, X Chen, Y Zhu, Y Zhong, AG Azzolini, C Sun, ...
arXiv preprint arXiv:2008.11922, 2020
92020
Interactive Reinforcement Learning for Object Grounding via Self-Talking
Y Zhu, S Zhang, D Metaxas
Neural Information Processing Systems 2017 - VIGIL workshop, 2017
92017
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
HX Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu ...
Advances in Neural Information Processing Systems 36, 2024
62024
Efficient Dynamic Graph Representation Learning at Scale
X Chen, Y Zhu, H Xu, M Liu, L Xiong, M Zhang, L Song
arXiv preprint arXiv:2112.07768, 2021
62021
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations
J Tan, Y Ge, Y Zhu, Y Xia, J Luo, J Ji, Y Zhang
arXiv preprint arXiv:2308.00894, 2023
22023
Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning
Y Zhang, Y Xia, Y Zhu, Y Chi, L Ying, H Tong
2022 IEEE International Conference on Data Mining (ICDM), 1329-1334, 2022
12022
Representation Learning on Dynamic Network of Networks
S Zhang, Y Xia, Y Zhu, H Tong
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
2023
Flexible multi-task neutral network for content ranking
L Xiong, Y Zhu
US Patent 11,017,287, 2021
2021
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Artikkelit 1–18