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2020 – today
- 2024
[c22]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: 16642-16650- [i21]Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Lingyang Chu, Yong Zhang:
AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking. CoRR abs/2403.05628 (2024) - [i20]Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong:
TabularMark: Watermarking Tabular Datasets for Machine Learning. CoRR abs/2406.14841 (2024) - [i19]Bin Guo, Emil Sekerinski, Lingyang Chu:
Federated k-Core Decomposition: A Secure Distributed Approach. CoRR abs/2410.02544 (2024) - 2023
- [j13]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: 104384 (2023) - [c21]Qiying Pan, Yifei Zhu, Lingyang Chu:
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. ICDE 2023: 1914-1926 - [c20]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: 8994-9002 - [i18]Qiying Pan, Yifei Zhu, Lingyang Chu:
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. CoRR abs/2303.00492 (2023) - 2022
- [c19]Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking against Ensemble Distillation. AAAI 2022: 9512-9520 - [c18]Mingda Qian, Xiaoyan Gu, Lingyang Chu, Feifei Dai, Haihui Fan, Bo Li:
Flexible Order Aware Sequential Recommendation. ICMR 2022: 109-117 - [c17]Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang:
Mining Minority-Class Examples with Uncertainty Estimates. MMM (1) 2022: 258-271 - [i17]Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking Against Ensemble Distillation. CoRR abs/2203.02777 (2022) - [i16]Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang:
Revealing Unfair Models by Mining Interpretable Evidence. CoRR abs/2207.05811 (2022) - 2021
- [j12]Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian:
Model complexity of deep learning: a survey. Knowl. Inf. Syst. 63(10): 2585-2619 (2021) - [j11]Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei:
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test. Proc. VLDB Endow. 14(9): 1583-1596 (2021) - [j10]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): 2479-2492 (2021) - [c16]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: 7865-7873 - [c15]Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang:
Finding Representative Interpretations on Convolutional Neural Networks. ICCV 2021: 1325-1334 - [c14]Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang:
Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. ICDE 2021: 2069-2074 - [c13]Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang:
Towards Fair Federated Learning. KDD 2021: 4100-4101 - [c12]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: 5644-5655 - [i15]Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian:
Model Complexity of Deep Learning: A Survey. CoRR abs/2103.05127 (2021) - [i14]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 abs/2107.04086 (2021) - [i13]Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang:
Finding Representative Interpretations on Convolutional Neural Networks. CoRR abs/2108.06384 (2021) - [i12]Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang:
FedFair: Training Fair Models In Cross-Silo Federated Learning. CoRR abs/2109.05662 (2021) - [i11]Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang:
Achieving Model Fairness in Vertical Federated Learning. CoRR abs/2109.08344 (2021) - [i10]Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang:
Mining Minority-class Examples With Uncertainty Estimates. CoRR abs/2112.07835 (2021) - 2020
- [j9]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): 103-130 (2020) - [c11]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: 613-624 - [i9]Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Federated Learning: An Attentive Collaboration Approach. CoRR abs/2007.03797 (2020) - [i8]Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei:
Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test. CoRR abs/2011.01223 (2020)
2010 – 2019
- 2019
- [j8]Zijin Zhao, Lingyang Chu, Dacheng Tao, Jian Pei:
Classification with label noise: a Markov chain sampling framework. Data Min. Knowl. Discov. 33(5): 1468-1504 (2019) - [j7]Wu Liu, Lingheng Zhu, Lingyang Chu, Huadong Ma:
A common subgraph correspondence mining framework for map search services. Multim. Tools Appl. 78(1): 747-766 (2019) - [j6]Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen:
Finding Theme Communities from Database Networks. Proc. VLDB Endow. 12(10): 1071-1084 (2019) - [j5]Lingyang Chu, Yanyan Zhang, Yu Yang, Lanjun Wang, Jian Pei:
Online Density Bursting Subgraph Detection from Temporal Graphs. Proc. VLDB Endow. 12(13): 2353-2365 (2019) - [i7]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 abs/1906.06857 (2019) - [i6]Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang:
Finding Route Hotspots in Large Labeled Networks. CoRR abs/1911.11354 (2019) - 2018
- [c10]Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen:
Mining Density Contrast Subgraphs. ICDE 2018: 221-232 - [c9]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: 1244-1253 - [i5]Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei:
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. CoRR abs/1802.06259 (2018) - [i4]Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen:
Mining Density Contrast Subgraphs. CoRR abs/1802.06775 (2018) - [i3]Mingtao Lei, Lingyang Chu, Zhefeng Wang:
Mining Top-k Sequential Patterns in Database Graphs: A New Challenging Problem and a Sampling-based Approach. CoRR abs/1805.03320 (2018) - 2017
- [j4]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): 2374-2387 (2017) - [c8]Lingheng Zhu, Wu Liu, Lingyang Chu, Peiye Liu, Xiaoyan Gu:
Query from Sketch: A Common Subgraph Correspondence Mining Framework. BigMM 2017: 413-418 - [i2]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 abs/1709.08083 (2017) - 2016
- [j3]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): 556-569 (2016) - [c7]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: 41-48 - [c6]Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen:
Finding Gangs in War from Signed Networks. KDD 2016: 1505-1514 - 2015
- [j2]Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang, Jian Pei:
ALID: Scalable Dominant Cluster Detection. Proc. VLDB Endow. 8(8): 826-837 (2015) - 2014
- [c5]Lingyang Chu, Shuhui Wang, Yanyan Zhang, Shuqiang Jiang, Qingming Huang:
Graph-Density-based visual word vocabulary for image retrieval. ICME 2014: 1-6 - [i1]Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang, Jian Pei:
ALID: Scalable Dominant Cluster Detection. CoRR abs/1411.0064 (2014) - 2013
- [j1]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): 1982-1996 (2013) - [c4]Yanyan Zhang, Guorong Li, Lingyang Chu, Shuhui Wang, Weigang Zhang, Qingming Huang:
Cross-media topic detection: A multi-modality fusion framework. ICME 2013: 1-6 - [c3]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: 317-318 - 2011
- [c2]Lingyang Chu, Shuqiang Jiang, Qingming Huang:
Fast common visual pattern detection via radiate geometric model. ICIP 2011: 2465-2468 - [c1]Tianlong Chen, Shuqiang Jiang, Lingyang Chu, Qingming Huang:
Detection and location of near-duplicate video sub-clips by finding dense subgraphs. ACM Multimedia 2011: 1173-1176
Coauthor Index
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last updated on 2024-11-08 21:30 CET by the dblp team
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