selected scholarly activity
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chapters
- Cocktail Universal Adversarial Attack on Deep Neural Networks. Lecture Notes in Computer Science. 396-412. 2025
- Interpretable Deep Graph-Level Clustering: A Prototype-Based Approach. Lecture Notes in Computer Science. 114-129. 2025
- Multifaceted Anchor Nodes Attack on Graph Neural Networks: A Budget-Efficient Approach. Lecture Notes in Computer Science. 372-390. 2025
- Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning. Lecture Notes in Computer Science. 254-270. 2025
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conferences
- Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. Proceedings of the AAAI Conference on Artificial Intelligence. 16642-16650. 2024
- TabularMark: Watermarking Tabular Datasets for Machine Learning. PROCEEDINGS OF THE 2024 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, CCS 2024. 3570-3584. 2024
- Training Fair Models in Federated Learning without Data Privacy Infringement. Proceedings 2024 IEEE International Conference on Big Data Bigdata 2024. 7687-7696. 2024
- 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
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journal articles
- Boosting efficiency in a clinical literature surveillance system with LightGBM.. PLOS Digital Health. 3:e0000299. 2024
- 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
- Training Fair Models in Federated Learning without Data Privacy Infringement 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
- Personalized Cross-Silo Federated Learning on Non-IID Data. Proceedings of the AAAI Conference on Artificial Intelligence. 35:7865-7873.
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preprints
- TabularMark: Watermarking Tabular Datasets for Machine Learning 2024
- Machine learning to increase the efficiency of a literature surveillance system: a performance evaluation 2023
- Machine learning to increase the efficiency of a literature surveillance system: a performance evaluation (Preprint) 2022
- Revealing Unfair Models by Mining Interpretable Evidence 2022
- Cosine Model Watermarking Against Ensemble Distillation 2022
- Finding Representative Interpretations on Convolutional Neural Networks 2021
- Robust Counterfactual Explanations on Graph Neural Networks 2021
- A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation (Preprint) 2021
- Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test 2020
- Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution 2019
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theses
- Finding Antagonistic Communities in Signed Uncertain Graphs. IEEE Transactions on Knowledge and Data Engineering. 2025