Lingyang Chu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 48

Top Topics

Kolmogorov Smirnov

Top Venues

Proc. VLDB Endow.

Publications

Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong
TabularMark: Watermarking Tabular Datasets for Machine Learning. CoRR (2024)
Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Lingyang Chu, Yong Zhang
AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking. CoRR (2024)
Yu Zang, Zhe Xue, Shilong Ou, Lingyang Chu, Junping Du, Yunfei Long
Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. AAAI (2024)
Qiying Pan, Yifei Zhu, Lingyang Chu
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. CoRR (2023)
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
Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation. J. Biomed. Informatics 142 (2023)
Qiying Pan, Yifei Zhu, Lingyang Chu
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. ICDE (2023)
Yunfei Long, Zhe Xue, Lingyang Chu, Tianlong Zhang, Junjiang Wu, Yu Zang, Junping Du
FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data. ACM Multimedia (2023)
Mingda Qian, Xiaoyan Gu, Lingyang Chu, Feifei Dai, Haihui Fan, Bo Li
Flexible Order Aware Sequential Recommendation. ICMR (2022)
Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang
Revealing Unfair Models by Mining Interpretable Evidence. CoRR (2022)
Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang
Cosine Model Watermarking against Ensemble Distillation. AAAI (2022)
Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang
Mining Minority-Class Examples with Uncertainty Estimates. MMM (1) (2022)
Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang
Cosine Model Watermarking Against Ensemble Distillation. CoRR (2022)
Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang
Achieving Model Fairness in Vertical Federated Learning. CoRR (2021)
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
Model complexity of deep learning: a survey. Knowl. Inf. Syst. 63 (10) (2021)
Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
Robust Counterfactual Explanations on Graph Neural Networks. CoRR (2021)
Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test. Proc. VLDB Endow. 14 (9) (2021)
Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang
Towards Fair Federated Learning. KDD (2021)
Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang
Finding Representative Interpretations on Convolutional Neural Networks. ICCV (2021)
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
Personalized Cross-Silo Federated Learning on Non-IID Data. AAAI (2021)
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
Model Complexity of Deep Learning: A Survey. CoRR (2021)
Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang
FedFair: Training Fair Models In Cross-Silo Federated Learning. CoRR (2021)
Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
Robust Counterfactual Explanations on Graph Neural Networks. NeurIPS (2021)
Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang
Finding Representative Interpretations on Convolutional Neural Networks. CoRR (2021)
Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang
Mining Minority-class Examples With Uncertainty Estimates. CoRR (2021)
Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang
Finding Route Hotspots in Large Labeled Networks. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang
Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. ICDE (2021)
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
Personalized Federated Learning: An Attentive Collaboration Approach. CoRR (2020)
Mingtao Lei, Lingyang Chu, Zhefeng Wang, Jian Pei, Caifeng He, Xi Zhang, Binxing Fang
Mining top-k sequential patterns in transaction database graphs. World Wide Web 23 (1) (2020)
Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei
Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test. CoRR (2020)
Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. ICDE (2020)
Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. CoRR (2019)
Lingyang Chu, Yanyan Zhang, Yu Yang, Lanjun Wang, Jian Pei
Online Density Bursting Subgraph Detection from Temporal Graphs. Proc. VLDB Endow. 12 (13) (2019)
Wu Liu, Lingheng Zhu, Lingyang Chu, Huadong Ma
A common subgraph correspondence mining framework for map search services. Multim. Tools Appl. 78 (1) (2019)
Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen
Finding Theme Communities from Database Networks. Proc. VLDB Endow. 12 (10) (2019)
Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang
Finding Route Hotspots in Large Labeled Networks. CoRR (2019)
Zijin Zhao, Lingyang Chu, Dacheng Tao, Jian Pei
Classification with label noise: a Markov chain sampling framework. Data Min. Knowl. Discov. 33 (5) (2019)
Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen
Mining Density Contrast Subgraphs. CoRR (2018)
Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. CoRR (2018)
Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen
Mining Density Contrast Subgraphs. ICDE (2018)
Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. KDD (2018)
Mingtao Lei, Lingyang Chu, Zhefeng Wang
Mining Top-k Sequential Patterns in Database Graphs: A New Challenging Problem and a Sampling-based Approach. CoRR (2018)
Zhefeng Wang, Yu Yang, Jian Pei, Lingyang Chu, Enhong Chen
Activity Maximization by Effective Information Diffusion in Social Networks. IEEE Trans. Knowl. Data Eng. 29 (11) (2017)
Lingheng Zhu, Wu Liu, Lingyang Chu, Peiye Liu, Xiaoyan Gu
Query from Sketch: A Common Subgraph Correspondence Mining Framework. BigMM (2017)
Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen
Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering. CoRR (2017)
Zhefeng Wang, Lingyang Chu, Jian Pei, Abdullah Al-Barakati, Enhong Chen
Tradeoffs between density and size in extracting dense subgraphs: A unified framework. ASONAM (2016)
Lingyang Chu, Yanyan Zhang, Guorong Li, Shuhui Wang, Weigang Zhang, Qingming Huang
Effective Multimodality Fusion Framework for Cross-Media Topic Detection. IEEE Trans. Circuits Syst. Video Technol. 26 (3) (2016)
Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen
Finding Gangs in War from Signed Networks. KDD (2016)
Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang, Jian Pei
ALID: Scalable Dominant Cluster Detection. Proc. VLDB Endow. 8 (8) (2015)
Lingyang Chu, Shuhui Wang, Yanyan Zhang, Shuqiang Jiang, Qingming Huang
Graph-Density-based visual word vocabulary for image retrieval. ICME (2014)
Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang, Jian Pei
ALID: Scalable Dominant Cluster Detection. CoRR (2014)
Yanyan Zhang, Guorong Li, Lingyang Chu, Shuhui Wang, Weigang Zhang, Qingming Huang
Cross-media topic detection: A multi-modality fusion framework. ICME (2013)
Lingyang Chu, Shuqiang Jiang, Shuhui Wang, Yanyan Zhang, Qingming Huang
Robust Spatial Consistency Graph Model for Partial Duplicate Image Retrieval. IEEE Trans. Multim. 15 (8) (2013)
Shuang Wang, Yunfeng Xue, Lingyang Chu, Yuhao Jiang, Shuqiang Jiang
ObjectSense: a scalable multi-objects recognition system based on partial-duplicate image retrieval. ICMR (2013)
Tianlong Chen, Shuqiang Jiang, Lingyang Chu, Qingming Huang
Detection and location of near-duplicate video sub-clips by finding dense subgraphs. ACM Multimedia (2011)
Lingyang Chu, Shuqiang Jiang, Qingming Huang
Fast common visual pattern detection via radiate geometric model. ICIP (2011)