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 | 46 | 2013 |
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 | 38 | 2018 |
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 | 35 | 2014 |
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 | 31 | 2013 |
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 | 30 | 2017 |
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 | 27 | 2016 |
Alid: scalable dominant cluster detection L Chu, S Wang, S Liu, Q Huang, J Pei Proceedings of the VLDB Endowment 2015, 2015 | 17 | 2015 |
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 | 16 | 2011 |
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 | 5 | 2019 |
Mining Density Contrast Subgraphs Y Yang, L Chu, Y Zhang, Z Wang, J Pei, E Chen International Conference on Data Engineering (ICDE) 2018., 2018 | 5 | 2018 |
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 | 5 | 2014 |
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 | 4 | 2019 |
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 | 3 | 2011 |
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 | 2 | 2018 |
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 | 2 | 2017 |
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 | 1 | 2020 |
Personalized Federated Learning: An Attentive Collaboration Approach Y Huang, L Chu, Z Zhou, L Wang, J Liu, J Pei, Y Zhang Accepted by AAAI 2021, 2020 | 1 | 2020 |
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 | 1 | 2019 |
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 | 1 | 2016 |