Fast common visual pattern detection via radiate geometric model. - Lingyang Chu; Shuqiang Jiang; Qingming Huang (ICIP, 2011)

Detection and location of near-duplicate video sub-clips by finding dense subgraphs. - Tianlong Chen 003; Shuqiang Jiang; Lingyang Chu; Qingming Huang (ACM Multimedia, 2011)

Cross-media topic detection: A multi-modality fusion framework. - Yanyan Zhang; Guorong Li; Lingyang Chu; Shuhui Wang; Weigang Zhang; Qingming Huang (ICME, 2013)

ObjectSense: a scalable multi-objects recognition system based on partial-duplicate image retrieval. - Shuang Wang; Yunfeng Xue; Lingyang Chu; Yuhao Jiang; Shuqiang Jiang (ICMR, 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)

Graph-Density-based visual word vocabulary for image retrieval. - Lingyang Chu; Shuhui Wang; Yanyan Zhang; Shuqiang Jiang; Qingming Huang (ICME, 2014)

ALID: Scalable Dominant Cluster Detection. - Lingyang Chu; Shuhui Wang; Siyuan Liu 001; Qingming Huang; Jian Pei 001 (Proc. VLDB Endow., 2015)

Tradeoffs between density and size in extracting dense subgraphs: A unified framework. - Zhefeng Wang 001; Lingyang Chu; Jian Pei 001; Abdullah Al-Barakati; Enhong Chen (ASONAM, 2016)

Finding Gangs in War from Signed Networks. - Lingyang Chu; Zhefeng Wang 001; Jian Pei 001; Jiannan Wang 001; Zijin Zhao; Enhong Chen (KDD, 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)

Query from Sketch: A Common Subgraph Correspondence Mining Framework. - Lingheng Zhu; Wu Liu; Lingyang Chu; Peiye Liu; Xiaoyan Gu 001 (BigMM, 2017)

Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering. - Lingyang Chu; Zhefeng Wang 001; Jian Pei 001; Yanyan Zhang; Yu Yang 001; Enhong Chen (CoRR, 2017)

Activity Maximization by Effective Information Diffusion in Social Networks. - Zhefeng Wang 001; Yu Yang 001; Jian Pei 001; Lingyang Chu; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2017)

Mining Density Contrast Subgraphs. - Yu Yang 001; Lingyang Chu; Yanyan Zhang; Zhefeng Wang 001; Jian Pei 001; Enhong Chen (ICDE, 2018)

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. - Lingyang Chu; Xia Hu; Juhua Hu; Lanjun Wang; Jian Pei 001 (KDD, 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)

Classification with label noise: a Markov chain sampling framework. - Zijin Zhao; Lingyang Chu; Dacheng Tao; Jian Pei 001 (Data Min. Knowl. Discov., 2019)

A common subgraph correspondence mining framework for map search services. - Wu Liu; Lingheng Zhu; Lingyang Chu; Huadong Ma (Multim. Tools Appl., 2019)

Finding Theme Communities from Database Networks. - Lingyang Chu; Zhefeng Wang 001; Jian Pei 001; Yanyan Zhang; Yu Yang 001; Enhong Chen (Proc. VLDB Endow., 2019)

Online Density Bursting Subgraph Detection from Temporal Graphs. - Lingyang Chu; Yanyan Zhang; Yu Yang 001; Lanjun Wang; Jian Pei 001 (Proc. VLDB Endow., 2019)

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 001 (ICDE, 2020)

Personalized Federated Learning: An Attentive Collaboration Approach. - Yutao Huang; Lingyang Chu; Zirui Zhou; Lanjun Wang; Jiangchuan Liu; Jian Pei 001; Yong Zhang 004 (CoRR, 2020)

Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test. - Zicun Cong; Lingyang Chu; Yu Yang 001; Jian Pei 001 (CoRR, 2020)

Mining top-k sequential patterns in transaction database graphs. - Mingtao Lei; Lingyang Chu; Zhefeng Wang 001; Jian Pei 001; Caifeng He; Xi Zhang 008; Binxing Fang (World Wide Web, 2020)

Personalized Cross-Silo Federated Learning on Non-IID Data. - Yutao Huang; Lingyang Chu; Zirui Zhou; Lanjun Wang; Jiangchuan Liu; Jian Pei 001; Yong Zhang 004 (AAAI, 2021)

Finding Representative Interpretations on Convolutional Neural Networks. - Peter Cho-Ho Lam; Lingyang Chu; Maxim Torgonskiy; Jian Pei 001; Yong Zhang 004; Lanjun Wang (ICCV, 2021)

Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. - Prithu Banerjee; Lingyang Chu; Yong Zhang 004; Laks V. S. Lakshmanan; Lanjun Wang (ICDE, 2021)

Towards Fair Federated Learning. - Zirui Zhou; Lingyang Chu; Changxin Liu 001; Lanjun Wang; Jian Pei 001; Yong Zhang 004 (KDD, 2021)

Robust Counterfactual Explanations on Graph Neural Networks. - Mohit Bajaj; Lingyang Chu; Zi Yu Xue; Jian Pei 001; Lanjun Wang; Peter Cho-Ho Lam; Yong Zhang 004 (NeurIPS, 2021)

FedFair: Training Fair Models In Cross-Silo Federated Learning. - Lingyang Chu; Lanjun Wang; Yanjie Dong; Jian Pei 001; Zirui Zhou; Yong Zhang 004 (CoRR, 2021)

Achieving Model Fairness in Vertical Federated Learning. - Changxin Liu 001; Zirui Zhou; Yang Shi 001; Jian Pei 001; Lingyang Chu; Yong Zhang 004 (CoRR, 2021)

Model complexity of deep learning: a survey. - Xia Hu; Lingyang Chu; Jian Pei 001; Weiqing Liu; Jiang Bian 002 (Knowl. Inf. Syst., 2021)

Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test. - Zicun Cong; Lingyang Chu; Yu Yang 001; Jian Pei 001 (Proc. VLDB Endow., 2021)

Finding Route Hotspots in Large Labeled Networks. - Mingtao Lei; Xi Zhang 008; Lingyang Chu; Zhefeng Wang 001; Philip S. Yu; Binxing Fang (IEEE Trans. Knowl. Data Eng., 2021)

Cosine Model Watermarking against Ensemble Distillation. - Laurent Charette; Lingyang Chu; Yizhou Chen; Jian Pei 001; Lanjun Wang; Yong Zhang 004 (AAAI, 2022)

Flexible Order Aware Sequential Recommendation. - Mingda Qian; Xiaoyan Gu 001; Lingyang Chu; Feifei Dai; Haihui Fan; Bo Li 063 (ICMR, 2022)

Mining Minority-Class Examples with Uncertainty Estimates. - Gursimran Singh; Lingyang Chu; Lanjun Wang; Jian Pei 001; Qi Tian; Yong Zhang 004 (MMM (1), 2022)

Revealing Unfair Models by Mining Interpretable Evidence. - Mohit Bajaj; Lingyang Chu; Vittorio Romaniello; Gursimran Singh; Jian Pei 001; Zirui Zhou; Lanjun Wang; Yong Zhang 004 (CoRR, 2022)

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. - Qiying Pan; Yifei Zhu 001; Lingyang Chu (ICDE, 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 001 (ACM Multimedia, 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 001; Tamara Navarro; Chris Cotoi; Federico Germini; Lori Linkins; R. Brian Haynes; Lingyang Chu; Alfonso Iorio (J. Biomed. Informatics, 2023)

Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. - Yu Zang; Zhe Xue; Shilong Ou; Lingyang Chu; Junping Du 001; Yunfei Long (AAAI, 2024)

Training Fair Models in Federated Learning without Data Privacy Infringement. - Xin Che; Jingdi Hu; Zirui Zhou; Yong Zhang; Lingyang Chu (IEEE Big Data, 2024)

TabularMark: Watermarking Tabular Datasets for Machine Learning. - Yihao Zheng; Haocheng Xia; Junyuan Pang; Jinfei Liu; Kui Ren 001; Lingyang Chu; Yang Cao 011; Li Xiong 001 (CCS, 2024)

Cocktail Universal Adversarial Attack on Deep Neural Networks. - Shaoxin Li 002; Xiaofeng Liao 001; Xin Che; Xintong Li; Yong Zhang 004; Lingyang Chu (ECCV (65), 2024)

Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning. - Xin Che; Mohammad Akbari; Shaoxin Li 002; David (Ming Xuan) Yue; Yong Zhang 004; Lingyang Chu (ICPR (31), 2024)

Interpretable Deep Graph-Level Clustering: A Prototype-Based Approach. - Jianbin Cui; Lingyang Chu (ICPR (4), 2024)

Multifaceted Anchor Nodes Attack on Graph Neural Networks: A Budget-Efficient Approach. - Huanzhang Zhu; Shaoxin Li 002; Lingyang Chu (ICPR (3), 2024)

AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking. - Saeed Ranjbar Alvar; Mohammad Akbari; David (Ming Xuan) Yue; Lingyang Chu; Yong Zhang (CoRR, 2024)

Federated k-Core Decomposition: A Secure Distributed Approach. - Bin Guo 013; Emil Sekerinski; Lingyang Chu (CoRR, 2024)

Finding Antagonistic Communities in Signed Uncertain Graphs. - Qiqi Zhang; Lingyang Chu; Zijin Zhao; Jian Pei 001 (IEEE Trans. Knowl. Data Eng., 2025)