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2020 – today
- 2021
[j6]Rui Lian
, Guochao Zhang, Shengtao Yan, Lichao Sun, Guoqiang Zhang:
Identification of Molecular Regulatory Features and Markers for Acute Type A Aortic Dissection. Comput. Math. Methods Medicine 2021: 6697848:1-6697848:14 (2021)- [j5]Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun:
Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. Comput. Secur. 102: 102152 (2021) - [j4]Zhixiao Wang, Chengcheng Sun, Xiaobin Rui, Philip S. Yu, Lichao Sun:
Localization of multiple diffusion sources based on overlapping community detection. Knowl. Based Syst. 226: 106613 (2021) - [j3]Zebin Huang, Ziwei Wang, Weibang Bai, Yanpei Huang, Lichao Sun, Bo Xiao, Eric M. Yeatman:
A Novel Training and Collaboration Integrated Framework for Human-Agent Teleoperation. Sensors 21(24): 8341 (2021) - [j2]Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex D. Leow, Stephen Checkoway:
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning. IEEE Trans. Mob. Comput. 20(4): 1465-1476 (2021) - [c24]Michalis Diamantaris, Serafeim Moustakas, Lichao Sun, Sotiris Ioannidis, Jason Polakis:
This Sneaky Piggy Went to the Android Ad Market: Misusing Mobile Sensors for Stealthy Data Exfiltration. CCS 2021: 1065-1081 - [c23]Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM 2021: 3201-3205 - [c22]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CIKM 2021: 3513-3517 - [c21]Lichao Sun, Lingjuan Lyu:
Federated Model Distillation with Noise-Free Differential Privacy. IJCAI 2021: 1563-1570 - [c20]Lichao Sun, Jianwei Qian, Xun Chen:
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. IJCAI 2021: 1571-1578 - [c19]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI 2021: 2767-2774 - [c18]Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun:
Secure Deep Graph Generation with Link Differential Privacy. IJCAI 2021: 3271-3278 - [c17]Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu:
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL-HLT 2021: 2006-2012 - [c16]Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun:
User Preference-aware Fake News Detection. SIGIR 2021: 2051-2055 - [i38]Xiaohang Xu, Hao Peng, Lichao Sun, Yan Niu, Hongyuan Ma, Lianzhong Liu, Lifang He:
Federated Depression Detection from Multi-SourceMobile Health Data. CoRR abs/2102.09342 (2021) - [i37]Xuanli He, Lingjuan Lyu, Qiongkai Xu, Lichao Sun:
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! CoRR abs/2103.10013 (2021) - [i36]Yu Wang, Lichao Sun:
Membership Inference Attacks on Knowledge Graphs. CoRR abs/2104.08273 (2021) - [i35]Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun:
User Preference-aware Fake News Detection. CoRR abs/2104.12259 (2021) - [i34]Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He:
Federated Multi-View Learning for Private Medical Data Integration and Analysis. CoRR abs/2105.01603 (2021) - [i33]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR abs/2105.03178 (2021) - [i32]Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun:
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. CoRR abs/2105.10909 (2021) - [i31]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. CoRR abs/2106.13430 (2021) - [i30]Wanning Pan, Lichao Sun:
Global Knowledge Distillation in Federated Learning. CoRR abs/2107.00051 (2021) - [i29]Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang:
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. CoRR abs/2107.03220 (2021) - [i28]Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He:
Multiplex Graph Networks for Multimodal Brain Network Analysis. CoRR abs/2108.00158 (2021) - [i27]Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun:
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks. CoRR abs/2108.07548 (2021) - [i26]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CoRR abs/2108.11883 (2021) - [i25]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. CoRR abs/2109.01300 (2021) - [i24]Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang:
Source Inference Attacks in Federated Learning. CoRR abs/2109.05659 (2021) - [i23]Ce Zhou, Qiben Yan, Yan Shi, Lichao Sun:
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems. CoRR abs/2110.03154 (2021) - [i22]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. CoRR abs/2110.07476 (2021) - [i21]Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. CoRR abs/2111.10803 (2021) - [i20]Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao Sun:
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization. CoRR abs/2111.14655 (2021) - 2020
- [c15]Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He:
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. COLING 2020: 3436-3440 - [c14]Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen:
Target Privacy Preserving for Social Networks. ICDE 2020: 1862-1865 - [c13]Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen:
Influence Maximization with Spontaneous User Adoption. WSDM 2020: 573-581 - [i19]Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen:
Target Privacy Preserving for Social Networks. CoRR abs/2002.03284 (2020) - [i18]Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong:
Differentially Private Deep Learning with Smooth Sensitivity. CoRR abs/2003.00505 (2020) - [i17]Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong:
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. CoRR abs/2003.04985 (2020) - [i16]Carl Yang, Haonan Wang, Lichao Sun, Bo Li:
Secure Network Release with Link Privacy. CoRR abs/2005.00455 (2020) - [i15]Lichao Sun:
Natural Backdoor Attack on Text Data. CoRR abs/2006.16176 (2020) - [i14]Lichao Sun, Jianwei Qian, Xun Chen, Philip S. Yu:
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. CoRR abs/2007.15789 (2020) - [i13]Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He:
A Survey on Text Classification: From Shallow to Deep Learning. CoRR abs/2008.00364 (2020) - [i12]Lichao Sun, Lingjuan Lyu:
Federated Model Distillation with Noise-Free Differential Privacy. CoRR abs/2009.05537 (2020) - [i11]Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He:
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. CoRR abs/2010.02394 (2020) - [i10]Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. CoRR abs/2012.06337 (2020)
2010 – 2019
- 2019
- [c12]Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. AAAI 2019: 1190-1197 - [c11]Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. IEEE BigData 2019: 1245-1250 - [i9]Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen:
Self-Activation Influence Maximization. CoRR abs/1906.02296 (2019) - 2018
- [j1]Jin Li, Lichao Sun, Qiben Yan, Zhiqiang Li, Witawas Srisa-an, Heng Ye:
Significant Permission Identification for Machine-Learning-Based Android Malware Detection. IEEE Trans. Ind. Informatics 14(7): 3216-3225 (2018) - [c10]Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu:
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. ICBK 2018: 131-138 - [c9]Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu:
Deep Learning towards Mobile Applications. ICDCS 2018: 1385-1393 - [c8]Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen:
Multi-Round Influence Maximization. KDD 2018: 2249-2258 - [i8]Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen:
Multi-Round Influence Maximization (Extended Version). CoRR abs/1802.04189 (2018) - [i7]Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu:
Deep Learning Towards Mobile Applications. CoRR abs/1809.03559 (2018) - [i6]Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu:
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. CoRR abs/1809.04110 (2018) - [i5]Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Unsupervised Meta-path Reduction on Heterogeneous Information Networks. CoRR abs/1810.12503 (2018) - [i4]Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. CoRR abs/1811.05072 (2018) - [i3]Lichao Sun, Ji Wang, Philip S. Yu, Bo Li:
Adversarial Attack and Defense on Graph Data: A Survey. CoRR abs/1812.10528 (2018) - 2017
- [c7]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an:
Contaminant removal for Android malware detection systems. IEEE BigData 2017: 1053-1062 - [c6]Yuqi Wang, Jiannong Cao, Lifang He, Wengen Li, Lichao Sun, Philip S. Yu:
Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services. CIKM 2017: 939-947 - [c5]Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow:
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. ECML/PKDD (3) 2017: 228-240 - [i2]Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow:
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. CoRR abs/1711.02703 (2017) - [i1]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an:
Contaminant Removal for Android Malware Detection Systems. CoRR abs/1711.02715 (2017) - 2016
- [c4]Lichao Sun, Zhiqiang Li, Qiben Yan, Witawas Srisa-an, Yu Pan:
SigPID: significant permission identification for android malware detection. MALWARE 2016: 59-66 - [c3]Zhiqiang Li, Lichao Sun, Qiben Yan, Witawas Srisa-an, Zhenxiang Chen:
DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware. SecureComm 2016: 597-616 - [c2]Zongfeng Ma, Lichao Sun, Zhichao Qu:
The Development of Spacecraft Electronic System. SINC 2016: 26-34 - 2012
- [c1]Shiyu Ma, Xiaoya Fan, Meng Zhang, Lichao Sun:
An adaptive vector parallel supported transcendental function unit for stream processor. FSKD 2012: 1140-1144
Coauthor Index
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