Deguang Kong

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 27

Top Topics

Nonnegative Matrix

Combinational Optimization

Top Venues

Publications

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)
Deguang Kong, Miao Lu, Konstantin Shmakov, Jian Yang
Robust Consensus Clustering and its Applications for Advertising Forecasting. CoRR (2023)
Zijun Yao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang, Hui Xiong
Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting. IEEE Trans. Big Data 9 (1) (2023)
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)
Deguang Kong, Daniel Xiaodan Zhou, Zhiheng Huang, Steph Sigalas
Personalized Search Via Neural Contextual Semantic Relevance Ranking. CoRR (2023)
Deguang Kong, Abhay Jha, Lei Yun
Learning Personalized User Preference from Cold Start in Multi-turn Conversations. CoRR (2023)
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 (2023)
He Xiong, Deguang Kong, Feiping Nie
Cauchy balanced nonnegative matrix factorization. Artif. Intell. Rev. 56 (10) (2023)
Deguang Kong, Konstantin Shmakov, Jian Yang
Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes. CoRR (2022)
Deguang Kong, Konstantin Shmakov, Jian Yang
Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization. CoRR (2022)
Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. CoRR (2022)
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)
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)
He Xiong, Deguang Kong
Elastic nonnegative matrix factorization. Pattern Recognit. 90 (2019)
Deguang Kong, Lei Cen
Mobile App Risk Ranking via Exclusive Sparse Coding. WWW (2019)
Hongchang Gao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang
Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting. WWW (2018)
Deguang Kong, Xiannian Fan, Konstantin Shmakov, Jian Yang
A Combinational Optimization Approach for Advertising Budget Allocation. WWW (Companion Volume) (2018)
Dawei Li, Xiaolong Wang, Deguang Kong
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. AAAI (2018)
Deguang Kong, Konstantin Shmakov, Jian Yang
Demystifying Advertising Campaign for CPA Goal Optimization. WWW (Companion Volume) (2018)
Deguang Kong, Konstantin Shmakov, Jian Yang
An Inflection Point Approach for Advertising Bid Optimization. WWW (Companion Volume) (2018)
Dawei Li, Xiaolong Wang, Deguang Kong
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. CoRR (2017)
Wei Yang, Deguang Kong, Tao Xie, Carl A. Gunter
Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps. ACSAC (2017)
Deguang Kong
Science Driven Innovations Powering Mobile Product: Cloud AI vs. Device AI Solutions on Smart Device. CoRR (2017)
Xiaolong Wang, Yin Zhou, Deguang Kong, Jon Currey, Dawei Li, Jiayu Zhou
Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification. FG (2017)
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)
Deguang Kong, Ji Liu, Bo Liu, Xuan Bao
Uncorrelated Group LASSO. AAAI (2016)
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)
Lei Cen, Deguang Kong, Hongxia Jin, Luo Si
Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. SDM (2015)
Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. CIKM (2015)
Xuan Bao, Bin Liu, Bo Tang, Bing Hu, Deguang Kong, Hongxia Jin
PinPlace: associate semantic meanings with indoor locations without active fingerprinting. UbiComp (2015)
Deguang Kong, Lei Cen, Hongxia Jin
AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications. CCS (2015)
Deguang Kong, Hongxia Jin
Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning. SDM (2015)
Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. WSDM (2015)
Deguang Kong, Chris H. Q. Ding
Pairwise-Covariance Linear Discriminant Analysis. AAAI (2014)
Deguang Kong, Guanhua Yan
Transductive malware label propagation: Find your lineage from your neighbors. INFOCOM (2014)
Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo
Robust Non-Negative Dictionary Learning. AAAI (2014)
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)
Deguang Kong, Chris H. Q. Ding
Non-Convex Feature Learning via L_{p, inf} Operator. AAAI (2014)
Guanhua Yan, Nathan Brown, Deguang Kong
Exploring Discriminatory Features for Automated Malware Classification. DIMVA (2013)
Deguang Kong, Guanhua Yan
Discriminant malware distance learning on structuralinformation for automated malware classification. SIGMETRICS (2013)
Deguang Kong, Guanhua Yan
Discriminant malware distance learning on structural information for automated malware classification. KDD (2013)
Deguang Kong, Miao Zhang, Chris H. Q. Ding
Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective. ECML/PKDD (2) (2013)
Deguang Kong, Chris H. Q. Ding
Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. ICDM (2013)
Deguang Kong, Donghai Tian, Qiha Pan, Peng Liu, Dinghao Wu
Semantic aware attribution analysis of remote exploits. Secur. Commun. Networks 6 (7) (2013)
Chris H. Q. Ding, Deguang Kong, Miao Zhang
Collective Kernel Construction in Noisy Environment. SDM (2013)
Deguang Kong, Chris H. Q. Ding
A Semi-definite Positive Linear Discriminant Analysis and Its Applications. ICDM (2012)
Chris H. Q. Ding, Deguang Kong
Nonnegative matrix factorization using a robust error function. ICASSP (2012)
Deguang Kong, Chris H. Q. Ding
Maximum Consistency Preferential Random Walks. ECML/PKDD (2) (2012)
Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao
Multi-label ReliefF and F-statistic feature selections for image annotation. CVPR (2012)
Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie
An Iterative Locally Linear Embedding Algorithm. ICML (2012)
Deguang Kong, Chris H. Q. Ding, Heng Huang
Robust nonnegative matrix factorization using L21-norm. CIKM (2011)
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) (2011)
Deguang Kong, Donghai Tian, Peng Liu, Dinghao Wu
SA3: Automatic Semantic Aware Attribution Analysis of Remote Exploits. SecureComm (2011)
Donghai Tian, Deguang Kong, Changzhen Hu, Peng Liu
Protecting Kernel Data through Virtualization Technology. SECURWARE (2010)
Deguang Kong, Yoon-chan Jhi, Tao Gong, Sencun Zhu, Peng Liu, Hongsheng Xi
SAS: Semantics Aware Signature Generation for Polymorphic Worm Detection. SecureComm (2010)
Deguang Kong, Quan Zheng, Chao Chen, Jianmei Shuai, Ming Zhu
ISA: a source code static vulnerability detection system based on data fusion. Infoscale (2007)