Follow
Yuhong Li (李裕宏)
Yuhong Li (李裕宏)
Alibaba Group
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
SmartAdP: Visual Analytics of Large-scale Taxi Trajectories for Selecting Billboard Locations
D Liu, D Wen, Y Li, J Bao, Y Zheng, H Qu, Y Wu
IEEE Transactions on Visualization and Computer Graphics, 2016
1402016
Quick-Motif: An Efficient and Scalable Framework for Exact Motif Discovery
Y Li, LH U, ML Yiu, Z Gong
International Conference on Data Engineering, 579-590, 2015
482015
Location Selection for Ambulance Stations: A Data-Driven Approach
Y Li, Y Zheng, S Ji, W Wang, LH U, Z Gong
Proceedings of the 23th ACM SIGSPATIAL International Conference on Advances …, 2015
442015
Mining the Most Influential k-Location Set From Massive Trajectories
Y Li, J Bao, Y Li, Y Wu, G Zhiguo, Y Zheng
IEEE Transaction on Big Data, 2017
382017
Self-Supervised Learning For Few-Shot Image Classification
D Chen, Y Chen, Y Li, F Mao, Y He, H Xue
https://arxiv.org/pdf/1911.06045.pdf, 2019
372019
Towards online shortest path computation
HJ Zhao, ML Yiu, Y Li, Z Gong
IEEE Transactions on Knowledge and Data Engineering 26 (4), 1012-1025, 2013
362013
A Topic-based Reviewer Assignment System
NM Kou, LH U, N Mamoulis, Y Li, Y Li, Z Gong
Proceedings of the VLDB Endowment 8 (12), 1852 - 1855, 2015
332015
Discovering longest-lasting correlation in sequence databases
Y Li, LH U, ML Yiu, Z Gong
Proceedings of the VLDB Endowment 6 (14), 1666-1677, 2013
292013
Efficient discovery of longest-lasting correlation in sequence databases
Y Li, H U, Leong, L Yiu, Man, Z Gong
The VLDB Journal, 2016
122016
Self-supervised Adversarial Training
K Chen, H Zhou, Y Chen, X Mao, Y Li, Y He, HX Xue, W Zhang, N Yu
https://arxiv.org/abs/1911.06470, 2019
11*2019
Bilinear Representation for Language-based Image Editing using Cconditional Generative Adversarial Networks
X Mao, Y Chen, Y Li, T Xiong, Y He, H Xue
ICASSP, 2019
102019
Gap++: Learning to generate target-conditioned adversarial examples
X Mao, Y Chen, Y Li, Y He, H Xue
arXiv preprint arXiv:2006.05097, 2020
62020
Learning To Characterize Adversarial Subspaces
X Mao, Y Chen, Y Li, Y He, H Xue
https://arxiv.org/abs/1911.06587, 2019
62019
Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs
B Tang, ML Yiu, Y Li, LH U
ADMS, 2016
62016
GraphLSHC: Towards Large Scale Spectral Hypergraph Clustering
Y Yang, S Deng, J Lu, Y Li, Z Gong, L Hou U, Z Hao
Information Sciences, 2020
52020
DeMalC: A Feature-rich Machine Learning Framework for Malicious Call Detection
Y Li, D Hou, A Pan, Z Gong
CIKM, 2017
52017
Fast Subsequence Search on Time Series Data
Y Li, B Tang, L Hou U, ML Yiu, Z Gong
Proceedings of the 20th International Conference on Extending Database …, 2017
42017
VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce
T Tang, W Yanhong, Y Lingyun, L Yuhong, W Yingcai
IEEE Transactions on Visualization and Computer Graphics, 2021
22021
TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data
P Qin, Y Li, K Deng, Q Wu
arXiv preprint arXiv:2106.01797, 2021
12021
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping
R Liu, P Qin, Y Li, W Wen, D Li, K Deng, Q Wu
arXiv preprint arXiv:2106.06905, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20