Lingyang Chu

According to our database, Lingyang Chu authored at least 50 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Finding Antagonistic Communities in Signed Uncertain Graphs.

Qiqi Zhang, Lingyang Chu, Zijin Zhao, Jian Pei

IEEE Trans. Knowl. Data Eng., February, 2025

2024

Federated k-Core Decomposition: A Secure Distributed Approach.

Bin Guo, Emil Sekerinski, Lingyang Chu

CoRR, 2024

AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking.

Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Lingyang Chu, Yong Zhang

CoRR, 2024

Multifaceted Anchor Nodes Attack on Graph Neural Networks: A Budget-Efficient Approach.

Huanzhang Zhu, Shaoxin Li, Lingyang Chu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Interpretable Deep Graph-Level Clustering: A Prototype-Based Approach.

Jianbin Cui, Lingyang Chu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning.

Xin Che, Mohammad Akbari, Shaoxin Li, David (Ming Xuan) Yue, Yong Zhang, Lingyang Chu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Cocktail Universal Adversarial Attack on Deep Neural Networks.

Shaoxin Li, Xiaofeng Liao, Xin Che, Xintong Li, Yong Zhang, Lingyang Chu

Proceedings of the Computer Vision - ECCV 2024, 2024

TabularMark: Watermarking Tabular Datasets for Machine Learning.

Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction.

Yu Zang, Zhe Xue, Shilong Ou, Lingyang Chu, Junping Du, Yunfei Long

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation.

Cynthia Lokker, Elham Bagheri, Wael Abdelkader, Rick Parrish, Muhammad Afzal, Tamara Navarro, Chris Cotoi, Federico Germini, Lori Linkins, R. Brian Haynes, Lingyang Chu, Alfonso Iorio

J. Biomed. Informatics, June, 2023

FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data.

Yunfei Long, Zhe Xue, Lingyang Chu, Tianlong Zhang, Junjiang Wu, Yu Zang, Junping Du

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices.

Qiying Pan, Yifei Zhu, Lingyang Chu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Revealing Unfair Models by Mining Interpretable Evidence.

Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang

CoRR, 2022

Mining Minority-Class Examples with Uncertainty Estimates.

Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Flexible Order Aware Sequential Recommendation.

Mingda Qian, Xiaoyan Gu, Lingyang Chu, Feifei Dai, Haihui Fan, Bo Li

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Cosine Model Watermarking against Ensemble Distillation.

Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Finding Route Hotspots in Large Labeled Networks.

Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang

IEEE Trans. Knowl. Data Eng., 2021

Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test.

Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei

Proc. VLDB Endow., 2021

Model complexity of deep learning: a survey.

Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian

Knowl. Inf. Syst., 2021

Achieving Model Fairness in Vertical Federated Learning.

Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang

CoRR, 2021

FedFair: Training Fair Models In Cross-Silo Federated Learning.

Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang

CoRR, 2021

Robust Counterfactual Explanations on Graph Neural Networks.

Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Fair Federated Learning.

Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Stealthy Targeted Data Poisoning Attack on Knowledge Graphs.

Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Finding Representative Interpretations on Convolutional Neural Networks.

Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Personalized Cross-Silo Federated Learning on Non-IID Data.

Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Mining top-k sequential patterns in transaction database graphs.

Mingtao Lei, Lingyang Chu, Zhefeng Wang, Jian Pei, Caifeng He, Xi Zhang, Binxing Fang

World Wide Web, 2020

Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test.

Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei

CoRR, 2020

Personalized Federated Learning: An Attentive Collaboration Approach.

Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

CoRR, 2020

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution.

Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Online Density Bursting Subgraph Detection from Temporal Graphs.

Lingyang Chu, Yanyan Zhang, Yu Yang, Lanjun Wang, Jian Pei

Proc. VLDB Endow., 2019

Finding Theme Communities from Database Networks.

Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen

Proc. VLDB Endow., 2019

A common subgraph correspondence mining framework for map search services.

Wu Liu, Lingheng Zhu, Lingyang Chu, Huadong Ma

Multim. Tools Appl., 2019

Classification with label noise: a Markov chain sampling framework.

Zijin Zhao, Lingyang Chu, Dacheng Tao, Jian Pei

Data Min. Knowl. Discov., 2019

2018

Mining Top-k Sequential Patterns in Database Graphs: A New Challenging Problem and a Sampling-based Approach.

Mingtao Lei, Lingyang Chu, Zhefeng Wang

CoRR, 2018

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution.

Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Mining Density Contrast Subgraphs.

Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Activity Maximization by Effective Information Diffusion in Social Networks.

Zhefeng Wang, Yu Yang, Jian Pei, Lingyang Chu, Enhong Chen

IEEE Trans. Knowl. Data Eng., 2017

Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering.

Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen

CoRR, 2017

Query from Sketch: A Common Subgraph Correspondence Mining Framework.

Lingheng Zhu, Wu Liu, Lingyang Chu, Peiye Liu, Xiaoyan Gu

Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

2016

Effective Multimodality Fusion Framework for Cross-Media Topic Detection.

Lingyang Chu, Yanyan Zhang, Guorong Li, Shuhui Wang, Weigang Zhang, Qingming Huang

IEEE Trans. Circuits Syst. Video Technol., 2016

Finding Gangs in War from Signed Networks.

Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Tradeoffs between density and size in extracting dense subgraphs: A unified framework.

Zhefeng Wang, Lingyang Chu, Jian Pei, Abdullah Al-Barakati, Enhong Chen

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

ALID: Scalable Dominant Cluster Detection.

Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang, Jian Pei

Proc. VLDB Endow., 2015

2014

Graph-Density-based visual word vocabulary for image retrieval.

Lingyang Chu, Shuhui Wang, Yanyan Zhang, Shuqiang Jiang, Qingming Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

2013

Robust Spatial Consistency Graph Model for Partial Duplicate Image Retrieval.

Lingyang Chu, Shuqiang Jiang, Shuhui Wang, Yanyan Zhang, Qingming Huang

IEEE Trans. Multim., 2013

ObjectSense: a scalable multi-objects recognition system based on partial-duplicate image retrieval.

Shuang Wang, Yunfeng Xue, Lingyang Chu, Yuhao Jiang, Shuqiang Jiang

Proceedings of the International Conference on Multimedia Retrieval, 2013

Cross-media topic detection: A multi-modality fusion framework.

Yanyan Zhang, Guorong Li, Lingyang Chu, Shuhui Wang, Weigang Zhang, Qingming Huang

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

2011

Detection and location of near-duplicate video sub-clips by finding dense subgraphs.

Tianlong Chen, Shuqiang Jiang, Lingyang Chu, Qingming Huang

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Fast common visual pattern detection via radiate geometric model.

Lingyang Chu, Shuqiang Jiang, Qingming Huang

Proceedings of the 18th IEEE International Conference on Image Processing, 2011