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Deguang Kong
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2020 – today
- 2024
- [c43]Yudong Zhang, Deguang Kong, Juanjuan Li, Tao Yang, Feng Yao, Ge Yang:
Using Segment-Level Attention to Guide Breast Ultrasound Video Classification. ISBI 2024: 1-5 - 2023
- [j5]He Xiong, Deguang Kong, Feiping Nie:
Cauchy balanced nonnegative matrix factorization. Artif. Intell. Rev. 56(10): 11867-11903 (2023) - [j4]Zijun Yao
, Deguang Kong
Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting. IEEE Trans. Big Data 9(1): 280-293 (2023) - [c42]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. ACL (Findings) 2023: 9133-9146 - [c41]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR 2023 - [i9]Deguang Kong, Miao Lu, Konstantin Shmakov, Jian Yang:
Robust Consensus Clustering and its Applications for Advertising Forecasting. CoRR abs/2301.00717 (2023) - [i8]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR abs/2302.06729 (2023) - [i7]Deguang Kong, Daniel Xiaodan Zhou, Zhiheng Huang, Steph Sigalas:
Personalized Search Via Neural Contextual Semantic Relevance Ranking. CoRR abs/2309.05113 (2023) - [i6]Deguang Kong, Abhay Jha, Lei Yun:
Learning Personalized User Preference from Cold Start in Multi-turn Conversations. CoRR abs/2309.05127 (2023) - 2022
- [i5]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. CoRR abs/2210.06633 (2022) - [i4]Deguang Kong, Konstantin Shmakov, Jian Yang:
Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization. CoRR abs/2212.13915 (2022) - [i3]Deguang Kong, Konstantin Shmakov, Jian Yang:
Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes. CoRR abs/2212.13923 (2022) - 2021
- [c40]Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin:
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. WSDM 2021: 922-930 - 2020
- [c39]Xian Wu, Suleyman Cetintas, Deguang Kong, Miao Lu, Jian Yang, Nitesh V. Chawla
Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit. WWW 2020: 995-1005
2010 – 2019
- 2019
- [j3]He Xiong
Elastic nonnegative matrix factorization. Pattern Recognit. 90: 464-475 (2019) - [c38]Deguang Kong, Lei Cen:
Mobile App Risk Ranking via Exclusive Sparse Coding. WWW 2019: 2922-2928 - 2018
- [c37]Dawei Li
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. AAAI 2018: 2322-2330 - [c36]Deguang Kong, Xiannian Fan, Konstantin Shmakov, Jian Yang:
A Combinational Optimization Approach for Advertising Budget Allocation. WWW (Companion Volume) 2018: 53-54 - [c35]Deguang Kong, Konstantin Shmakov, Jian Yang:
Demystifying Advertising Campaign for CPA Goal Optimization. WWW (Companion Volume) 2018: 83-84 - [c34]Deguang Kong, Konstantin Shmakov, Jian Yang:
An Inflection Point Approach for Advertising Bid Optimization. WWW (Companion Volume) 2018: 91-92 - [c33]Hongchang Gao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang:
Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting. WWW 2018: 1855-1864 - 2017
- [c32]Wei Yang, Deguang Kong, Tao Xie, Carl A. Gunter:
Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps. ACSAC 2017: 288-302 - [c31]Xiaolong Wang, Yin Zhou, Deguang Kong, Jon Currey, Dawei Li
Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification. FG 2017: 596-603 - [i2]Dawei Li, Xiaolong Wang, Deguang Kong:
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. CoRR abs/1708.04728 (2017) - [i1]Deguang Kong:
Science Driven Innovations Powering Mobile Product: Cloud AI vs. Device AI Solutions on Smart Device. CoRR abs/1711.07580 (2017) - 2016
- [c30]Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu:
Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. AAAI 2016: 1317-1323 - [c29]Deguang Kong, Ji Liu, Bo Liu, Xuan Bao:
Uncorrelated Group LASSO. AAAI 2016: 1765-1771 - [c28]Jianping He, Bin Liu, Deguang Kong, Xuan Bao, Na Wang, Hongxia Jin, George Kesidis:
PUPPIES: Transformation-Supported Personalized Privacy Preserving Partial Image Sharing. DSN 2016: 359-370 - 2015
- [c27]Deguang Kong, Lei Cen, Hongxia Jin:
AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications. CCS 2015: 530-541 - [c26]Bing Hu, Bin Liu
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. CIKM 2015: 1111-1120 - [c25]Xuan Bao, Bin Liu, Bo Tang, Bing Hu, Deguang Kong, Hongxia Jin:
PinPlace: associate semantic meanings with indoor locations without active fingerprinting. UbiComp 2015: 921-925 - [c24]Deguang Kong, Hongxia Jin:
Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning. SDM 2015: 604-612 - [c23]Lei Cen, Deguang Kong, Hongxia Jin, Luo Si:
Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. SDM 2015: 658-666 - [c22]Bin Liu
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. WSDM 2015: 315-324 - 2014
- [c21]Deguang Kong, Chris H. Q. Ding:
Non-Convex Feature Learning via L_{p, inf} Operator. AAAI 2014: 1918-1924 - [c20]Deguang Kong, Chris H. Q. Ding:
Pairwise-Covariance Linear Discriminant Analysis. AAAI 2014: 1925-1931 - [c19]Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo:
Robust Non-Negative Dictionary Learning. AAAI 2014: 2027-2033 - [c18]Deguang Kong, Guanhua Yan:
Transductive malware label propagation: Find your lineage from your neighbors. INFOCOM 2014: 1411-1419 - [c17]Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding:
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm. NIPS 2014: 1655-1663 - 2013
- [j2]Deguang Kong, Donghai Tian, Qiha Pan, Peng Liu, Dinghao Wu:
Semantic aware attribution analysis of remote exploits. Secur. Commun. Networks 6(7): 818-832 (2013) - [c16]Guanhua Yan, Nathan Brown, Deguang Kong:
Exploring Discriminatory Features for Automated Malware Classification. DIMVA 2013: 41-61 - [c15]Deguang Kong, Chris H. Q. Ding:
Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. ICDM 2013: 379-388 - [c14]Deguang Kong, Guanhua Yan:
Discriminant malware distance learning on structural information for automated malware classification. KDD 2013: 1357-1365 - [c13]Deguang Kong, Miao Zhang, Chris H. Q. Ding:
Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective. ECML/PKDD (2) 2013: 177-193 - [c12]Chris H. Q. Ding, Deguang Kong, Miao Zhang:
Collective Kernel Construction in Noisy Environment. SDM 2013: 64-72 - [c11]Deguang Kong, Guanhua Yan:
Discriminant malware distance learning on structuralinformation for automated malware classification. SIGMETRICS 2013: 347-348 - 2012
- [c10]Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao:
Multi-label ReliefF and F-statistic feature selections for image annotation. CVPR 2012: 2352-2359 - [c9]Chris H. Q. Ding, Deguang Kong:
Nonnegative matrix factorization using a robust error function. ICASSP 2012: 2033-2036 - [c8]Deguang Kong, Chris H. Q. Ding:
A Semi-definite Positive Linear Discriminant Analysis and Its Applications. ICDM 2012: 942-947 - [c7]Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie:
An Iterative Locally Linear Embedding Algorithm. ICML 2012 - [c6]Deguang Kong, Chris H. Q. Ding:
Maximum Consistency Preferential Random Walks. ECML/PKDD (2) 2012: 339-354 - 2011
- [j1]Deguang Kong, Yoon-chan Jhi, Tao Gong, Sencun Zhu, Peng Liu, Hongsheng Xi:
SAS: semantics aware signature generation for polymorphic worm detection. Int. J. Inf. Sec. 10(5): 269-283 (2011) - [c5]Deguang Kong, Chris H. Q. Ding, Heng Huang:
Robust nonnegative matrix factorization using L21-norm. CIKM 2011: 673-682 - [c4]Deguang Kong, Donghai Tian, Peng Liu, Dinghao Wu:
SA3: Automatic Semantic Aware Attribution Analysis of Remote Exploits. SecureComm 2011: 190-208 - 2010
- [c3]Deguang Kong, Yoon-chan Jhi, Tao Gong, Sencun Zhu, Peng Liu, Hongsheng Xi:
SAS: Semantics Aware Signature Generation for Polymorphic Worm Detection. SecureComm 2010: 1-19 - [c2]Donghai Tian, Deguang Kong, Changzhen Hu, Peng Liu:
Protecting Kernel Data through Virtualization Technology. SECURWARE 2010: 5-10
2000 – 2009
- 2007
- [c1]Deguang Kong, Quan Zheng, Chao Chen, Jianmei Shuai, Ming Zhu:
ISA: a source code static vulnerability detection system based on data fusion. Infoscale 2007: 55
Coauthor Index
aka: Chris H. Q. Ding
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last updated on 2024-09-09 00:14 CEST by the dblp team
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