Lingyang Chu - McMaster Experts

Affiliations

Faculty of Engineering, McMaster University
Assistant Professor, Computing and Software, Faculty of Engineering

Research Areas

Data mining (RA)
Knowledge representation and machine learning (RA)
Machine learning (RA)

Scholarly Activity in McMaster Experts

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selected scholarly activity

conferences
- FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data. Proceedings of the 31st ACM International Conference on Multimedia. 8994-9002. 2023
- Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. Proceedings - International Conference on Data Engineering. 1914-1926. 2023
- Flexible Order Aware Sequential Recommendation. Proceedings of the 2022 International Conference on Multimedia Retrieval. 109-117. 2022
- Cosine Model Watermarking against Ensemble Distillation. THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 9512-9520. 2022
- Mining Minority-Class Examples with Uncertainty Estimates. Lecture Notes in Computer Science. 258-271. 2022
- Towards Fair Federated Learning. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 4100-4101. 2021
- Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. Proceedings - International Conference on Data Engineering. 2069-2074. 2021
- Robust Counterfactual Explanations on Graph Neural Networks. Advances in Neural Information Processing Systems. 2021
- Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. Proceedings - International Conference on Data Engineering. 613-624. 2020
- Exact and Consistent Interpretation for Piecewise Linear Neural Networks. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 1244-1253. 2018
- Mining Density Contrast Subgraphs. 2018 IEEE 34th International Conference on Data Engineering (ICDE). 221-232. 2018
- Query from Sketch: A Common Subgraph Correspondence Mining Framework. 2017 IEEE Third International Conference on Multimedia Big Data (BigMM). 413-418. 2017
- Finding Gangs in War from Signed Networks. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1505-1514. 2016
- Tradeoffs between density and size in extracting dense subgraphs: A unified framework. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 41-48. 2016
- ALID. Proceedings of the VLDB Endowment. 826-837. 2015
- Graph-Density-based visual word vocabulary for image retrieval. Proceedings - IEEE International Conference on Multimedia and Expo. 1-6. 2014
- Cross-media topic detection: A multi-modality fusion framework. Proceedings - IEEE International Conference on Multimedia and Expo. 1-6. 2013
- ObjectSense. Proceedings of the 3rd ACM conference on International conference on multimedia retrieval. 317-318. 2013
- Detection and location of near-duplicate video sub-clips by finding dense subgraphs. Proceedings of the 19th ACM international conference on Multimedia. 1173-1176. 2011
- Fast common visual pattern detection via radiate geometric model. Proceedings - International Conference on Image Processing, ICIP. 2465-2468. 2011
journal articles
- Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation. Journal of Biomedical Informatics. 142:104384-104384. 2023
- A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation. JMIR Research Protocols. 10:e29398-e29398. 2021
- Finding Representative Interpretations on Convolutional Neural Networks. Proceedings of the IEEE International Conference on Computer Vision. 00:1325-1334. 2021
- Model complexity of deep learning: a survey. Knowledge and Information Systems. 63:2585-2619. 2021
- FedFair: Training Fair Models In Cross-Silo Federated Learning 2021
- Finding Route Hotspots in Large Labeled Networks. IEEE Transactions on Knowledge and Data Engineering. 33:2479-2492. 2021
- Comprehensible counterfactual explanation on Kolmogorov-Smirnov test. Proceedings of the VLDB Endowment. 14:1583-1596. 2021
- Personalized Cross-Silo Federated Learning on Non-IID Data. THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 35:7865-7873. 2021
- Mining top-k sequential patterns in transaction database graphs. World Wide Web. 23:103-130. 2020
- Classification with label noise: a Markov chain sampling framework. Data mining and knowledge discovery. 33:1468-1504. 2019
- Online density bursting subgraph detection from temporal graphs. Proceedings of the VLDB Endowment. 12:2353-2365. 2019
- Finding theme communities from database networks. Proceedings of the VLDB Endowment. 12:1071-1084. 2019
- A common subgraph correspondence mining framework for map search services. Multimedia Tools and Applications. 78:747-766. 2019
- Exact and consistent interpretation for piecewise linear neural networks: A closed form solution. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1244-1253. 2018
- Activity Maximization by Effective Information Diffusion in Social Networks. IEEE Transactions on Knowledge and Data Engineering. 29:2374-2387. 2017
- Finding Theme Communities from Database Networks. Proceedings of the VLDB Endowment. 12:10. 2017
- Effective Multimodality Fusion Framework for Cross-Media Topic Detection. IEEE transactions on circuits and systems for video technology (Print). 26:556-569. 2016
- Robust Spatial Consistency Graph Model for Partial Duplicate Image Retrieval. IEEE Transactions on Multimedia. 15:1982-1996. 2013
preprints