ISA: a source code static vulnerability detection system based on data fusion. - Deguang Kong; Quan Zheng 002; Chao Chen; Jianmei Shuai; Ming Zhu (Infoscale, 2007)

Protecting Kernel Data through Virtualization Technology. - Donghai Tian; Deguang Kong; Changzhen Hu; Peng Liu 005 (SECURWARE, 2010)

Robust nonnegative matrix factorization using L21-norm. - Deguang Kong; Chris H. Q. Ding; Heng Huang (CIKM, 2011)

SA3: Automatic Semantic Aware Attribution Analysis of Remote Exploits. - Deguang Kong; Donghai Tian; Peng Liu 005; Dinghao Wu (SecureComm, 2011)

SAS: semantics aware signature generation for polymorphic worm detection. - Deguang Kong; Yoon-chan Jhi; Tao Gong; Sencun Zhu; Peng Liu 005; Hongsheng Xi (Int. J. Inf. Sec., 2011)

Multi-label ReliefF and F-statistic feature selections for image annotation. - Deguang Kong; Chris H. Q. Ding; Heng Huang; Haifeng Zhao (CVPR, 2012)

Nonnegative matrix factorization using a robust error function. - Chris H. Q. Ding; Deguang Kong (ICASSP, 2012)

A Semi-definite Positive Linear Discriminant Analysis and Its Applications. - Deguang Kong; Chris H. Q. Ding (ICDM, 2012)

An Iterative Locally Linear Embedding Algorithm. - Deguang Kong; Chris H. Q. Ding; Heng Huang; Feiping Nie 001 (ICML, 2012)

Maximum Consistency Preferential Random Walks. - Deguang Kong; Chris H. Q. Ding (ECML/PKDD (2), 2012)

Exploring Discriminatory Features for Automated Malware Classification. - Guanhua Yan; Nathan Brown; Deguang Kong (DIMVA, 2013)

Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. - Deguang Kong; Chris H. Q. Ding (ICDM, 2013)

Discriminant malware distance learning on structural information for automated malware classification. - Deguang Kong; Guanhua Yan (KDD, 2013)

Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective. - Deguang Kong; Miao Zhang; Chris H. Q. Ding (ECML/PKDD (2), 2013)

Collective Kernel Construction in Noisy Environment. - Chris H. Q. Ding; Deguang Kong; Miao Zhang (SDM, 2013)

Discriminant malware distance learning on structuralinformation for automated malware classification. - Deguang Kong; Guanhua Yan (SIGMETRICS, 2013)

Semantic aware attribution analysis of remote exploits. - Deguang Kong; Donghai Tian; Qiha Pan; Peng Liu 005; Dinghao Wu (Secur. Commun. Networks, 2013)

Non-Convex Feature Learning via L_{p, inf} Operator. - Deguang Kong; Chris H. Q. Ding (AAAI, 2014)

Pairwise-Covariance Linear Discriminant Analysis. - Deguang Kong; Chris H. Q. Ding (AAAI, 2014)

Robust Non-Negative Dictionary Learning. - Qihe Pan; Deguang Kong; Chris H. Q. Ding; Bin Luo 001 (AAAI, 2014)

Transductive malware label propagation: Find your lineage from your neighbors. - Deguang Kong; Guanhua Yan (INFOCOM, 2014)

Exclusive Feature Learning on Arbitrary Structures via ell_{1, 2}-norm. - Deguang Kong; Ryohei Fujimaki; Ji Liu 002; Feiping Nie 001; Chris H. Q. Ding (NIPS, 2014)

AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications. - Deguang Kong; Lei Cen; Hongxia Jin (CCS, 2015)

Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. - Bing Hu 001; Bin Liu 045; Neil Zhenqiang Gong; Deguang Kong; Hongxia Jin (CIKM, 2015)

PinPlace: associate semantic meanings with indoor locations without active fingerprinting. - Xuan Bao; Bin Liu 004; Bo Tang; Bing Hu 001; Deguang Kong; Hongxia Jin (UbiComp, 2015)

Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. - Lei Cen; Deguang Kong; Hongxia Jin; Luo Si (SDM, 2015)

Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning. - Deguang Kong; Hongxia Jin (SDM, 2015)

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. - Bin Liu 045; Deguang Kong; Lei Cen; Neil Zhenqiang Gong; Hongxia Jin; Hui Xiong 001 (WSDM, 2015)

Uncorrelated Group LASSO. - Deguang Kong; Ji Liu 002; Bo Liu 006; Xuan Bao (AAAI, 2016)

Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. - Lam Tran; Deguang Kong; Hongxia Jin; Ji Liu 002 (AAAI, 2016)

PUPPIES: Transformation-Supported Personalized Privacy Preserving Partial Image Sharing. - Jianping He 004; Bin Liu 004; Deguang Kong; Xuan Bao; Na Wang; Hongxia Jin; George Kesidis (DSN, 2016)

Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps. - Wei Yang 013; Deguang Kong; Tao Xie 001; Carl A. Gunter (ACSAC, 2017)

Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification. - Xiaolong Wang 006; Yin Zhou; Deguang Kong; Jon Currey; Dawei Li 006; Jiayu Zhou (FG, 2017)

Science Driven Innovations Powering Mobile Product: Cloud AI vs. Device AI Solutions on Smart Device. - Deguang Kong (CoRR, 2017)

DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. - Dawei Li 006; Xiaolong Wang 006; Deguang Kong (AAAI, 2018)

Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting. - Hongchang Gao; Deguang Kong; Miao Lu; Xiao Bai 002; Jian Yang 002 (WWW, 2018)

A Combinational Optimization Approach for Advertising Budget Allocation. - Deguang Kong; Xiannian Fan; Konstantin Shmakov; Jian Yang 002 (WWW (Companion Volume), 2018)

Demystifying Advertising Campaign for CPA Goal Optimization. - Deguang Kong; Konstantin Shmakov; Jian Yang 002 (WWW (Companion Volume), 2018)

An Inflection Point Approach for Advertising Bid Optimization. - Deguang Kong; Konstantin Shmakov; Jian Yang 002 (WWW (Companion Volume), 2018)

Mobile App Risk Ranking via Exclusive Sparse Coding. - Deguang Kong; Lei Cen (WWW, 2019)

Elastic nonnegative matrix factorization. - He Xiong; Deguang Kong (Pattern Recognit., 2019)

Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit. - Xian Wu 003; Suleyman Cetintas; Deguang Kong; Miao Lu; Jian Yang 002; Nitesh V. Chawla (WWW, 2020)

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. - Wei Deng 002; Junwei Pan; Tian Zhou 006; Deguang Kong; Aaron Flores 001; Guang Lin 001 (WSDM, 2021)

Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization. - Deguang Kong; Konstantin Shmakov; Jian Yang 002 (CoRR, 2022)

Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes. - Deguang Kong; Konstantin Shmakov; Jian Yang 002 (CoRR, 2022)

Language Agnostic Multilingual Information Retrieval with Contrastive Learning. - Xiyang Hu; Xinchi Chen; Peng Qi 003; Deguang Kong; Kunlun Liu; William Yang Wang; Zhiheng Huang (ACL (Findings), 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henghui Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; Zhiheng Huang; William Yang Wang; George Karypis; Bing Xiang; et al. (ICLR, 2023)

Robust Consensus Clustering and its Applications for Advertising Forecasting. - Deguang Kong; Miao Lu; Konstantin Shmakov; Jian Yang 002 (CoRR, 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henry Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; William Yang Wang; Zhiheng Huang; George Karypis; Bing Xiang; et al. (CoRR, 2023)

Personalized Search Via Neural Contextual Semantic Relevance Ranking. - Deguang Kong; Daniel Xiaodan Zhou; Zhiheng Huang; Steph Sigalas (CoRR, 2023)

Learning Personalized User Preference from Cold Start in Multi-turn Conversations. - Deguang Kong; Abhay Jha; Lei Yun (CoRR, 2023)

Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting. - Zijun Yao 001; Deguang Kong; Miao Lu; Xiao Bai 002; Jian Yang 002; Hui Xiong 001 (IEEE Trans. Big Data, 2023)

Cauchy balanced nonnegative matrix factorization. - He Xiong; Deguang Kong; Feiping Nie 001 (Artif. Intell. Rev., 2023)

Using Segment-Level Attention to Guide Breast Ultrasound Video Classification. - Yudong Zhang; Deguang Kong; Juanjuan Li; Tao Yang; Feng Yao; Ge Yang (ISBI, 2024)