Lingyang Chu (褚令洋)
Lingyang Chu (褚令洋)
Assistant Professor, McMaster University
Verified email at mcmaster.ca - Homepage
Title
Cited by
Cited by
Year
Robust spatial consistency graph model for partial duplicate image retrieval
L Chu, S Jiang, S Wang, Y Zhang, Q Huang
IEEE Transactions on Multimedia 15 (8), 1982-1996, 2013
522013
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
L Chu, X Hu, J Hu, L Wang, J Pei
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
432018
Effective multimodality fusion framework for cross-media topic detection
L Chu, Y Zhang, G Li, S Wang, W Zhang, Q Huang
IEEE Transactions on Circuits and Systems for Video Technology 26 (3), 556-569, 2014
372014
Activity maximization by effective information diffusion in social networks
Z Wang, Y Yang, J Pei, L Chu, E Chen
IEEE Transactions on Knowledge and Data Engineering 29 (11), 2374-2387, 2017
342017
Finding Gangs in War from Signed Networks
L Chu, Z Wang, J Pei, J Wang, Z Zhao, E Chen
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
292016
Cross-media topic detection: A multi-modality fusion framework
Y Zhang, G Li, L Chu, S Wang, W Zhang, Q Huang
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013
282013
Alid: scalable dominant cluster detection
L Chu, S Wang, S Liu, Q Huang, J Pei
Proceedings of the VLDB Endowment 2015, 2015
182015
Detection and location of near-duplicate video sub-clips by finding dense subgraphs
T Chen, S Jiang, L Chu, Q Huang
Proceedings of the 19th ACM international conference on Multimedia, 1173-1176, 2011
162011
Personalized cross-silo federated learning on non-iid data
Y Huang, L Chu, Z Zhou, L Wang, J Liu, J Pei, Y Zhang
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
6*2021
Classification with Label Noise: A Markov Chain Sampling Framework
Z Zhao, L Chu, D Tao, J Pei
Data Mining and Knowledge Discovery 6 (2018), 2019
62019
Mining Density Contrast Subgraphs
Y Yang, L Chu, Y Zhang, Z Wang, J Pei, E Chen
International Conference on Data Engineering (ICDE) 2018., 2018
62018
A common subgraph correspondence mining framework for map search services
W Liu, L Zhu, L Chu, H Ma
Multimedia Tools and Applications 78 (1), 747-766, 2019
52019
Graph-Density-based visual word vocabulary for image retrieval
L Chu, S Wang, Y Zhang, S Jiang, Q Huang
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
52014
Finding Theme Communities from Database Networks
L Chu, Z Wang, J Pei, Y Zhang, Y Yang, E Chen
Proceedings of the VLDB Endowment 2019 12 (10), 2019
3*2019
Fast common visual pattern detection via radiate geometric model
L Chu, S Jiang, Q Huang
2011 18th IEEE International Conference on Image Processing, 2465-2468, 2011
32011
Online density bursting subgraph detection from temporal graphs
L Chu, Y Zhang, Y Yang, L Wang, J Pei
Proceedings of the VLDB Endowment 12 (13), 2353-2365, 2020
22020
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution
Z Cong, L Chu, L Wang, X Hu, J Pei
International Conference on Data Engineering (ICDE) 2020., 2019
22019
Mining top-k sequential patterns in database graphs: a new challenging problem and a sampling-based approach
M Lei, L Chu, Z Wang
arXiv preprint arXiv:1805.03320, 2018
22018
Query from sketch: a common subgraph correspondence mining framework
L Zhu, W Liu, L Chu, P Liu, X Gu
2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 413-418, 2017
22017
Tradeoffs between density and size in extracting dense subgraphs: A unified framework
Z Wang, L Chu, J Pei, A Al-Barakati, E Chen
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
22016
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Articles 1–20