| 2023 | ACL | Language Agnostic Multilingual Information Retrieval with Contrastive Learning. | Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang |
| 2023 | ICLR | STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. | 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 |
| 2021 | WSDM | DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. | Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin |
| 2020 | WWW | Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit. | Xian Wu, Suleyman Cetintas, Deguang Kong, Miao Lu, Jian Yang, Nitesh V. Chawla |
| 2019 | WWW | Mobile App Risk Ranking via Exclusive Sparse Coding. | Deguang Kong, Lei Cen |
| 2018 | AAAI | DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. | Dawei Li, Xiaolong Wang, Deguang Kong |
| 2018 | WWW | Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting. | Hongchang Gao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang |
| 2018 | WWW | A Combinational Optimization Approach for Advertising Budget Allocation. | Deguang Kong, Xiannian Fan, Konstantin Shmakov, Jian Yang |
| 2018 | WWW | Demystifying Advertising Campaign for CPA Goal Optimization. | Deguang Kong, Konstantin Shmakov, Jian Yang |
| 2018 | WWW | An Inflection Point Approach for Advertising Bid Optimization. | Deguang Kong, Konstantin Shmakov, Jian Yang |
| 2017 | ACSAC | Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps. | Wei Yang, Deguang Kong, Tao Xie, Carl A. Gunter |
| 2016 | AAAI | Uncorrelated Group LASSO. | Deguang Kong, Ji Liu, Bo Liu, Xuan Bao |
| 2016 | AAAI | Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. | Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu |
| 2016 | DSN | PUPPIES: Transformation-Supported Personalized Privacy Preserving Partial Image Sharing. | Jianping He, Bin Liu, Deguang Kong, Xuan Bao, Na Wang, Hongxia Jin, George Kesidis |
| 2015 | CCS | AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications. | Deguang Kong, Lei Cen, Hongxia Jin |
| 2015 | CIKM | Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. | Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin |
| 2015 | WSDM | Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. | Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong |
| 2015 | SDM | Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. | Lei Cen, Deguang Kong, Hongxia Jin, Luo Si |
| 2015 | SDM | Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning. | Deguang Kong, Hongxia Jin |
| 2014 | AAAI | Non-Convex Feature Learning via L_{p, inf} Operator. | Deguang Kong, Chris H. Q. Ding |
| 2014 | AAAI | Pairwise-Covariance Linear Discriminant Analysis. | Deguang Kong, Chris H. Q. Ding |
| 2014 | AAAI | Robust Non-Negative Dictionary Learning. | Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo |
| 2014 | INFOCOM | Transductive malware label propagation: Find your lineage from your neighbors. | Deguang Kong, Guanhua Yan |
| 2013 | DIMVA | Exploring Discriminatory Features for Automated Malware Classification. | Guanhua Yan, Nathan Brown, Deguang Kong |
| 2013 | ICDM | Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. | Deguang Kong, Chris H. Q. Ding |
| 2013 | KDD | Discriminant malware distance learning on structural information for automated malware classification. | Deguang Kong, Guanhua Yan |
| 2013 | SIGMETRICS | Discriminant malware distance learning on structuralinformation for automated malware classification. | Deguang Kong, Guanhua Yan |
| 2013 | SDM | Collective Kernel Construction in Noisy Environment. | Chris H. Q. Ding, Deguang Kong, Miao Zhang |
| 2012 | CVPR | Multi-label ReliefF and F-statistic feature selections for image annotation. | Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao |
| 2012 | ICASSP | Nonnegative matrix factorization using a robust error function. | Chris H. Q. Ding, Deguang Kong |
| 2012 | ICDM | A Semi-definite Positive Linear Discriminant Analysis and Its Applications. | Deguang Kong, Chris H. Q. Ding |
| 2012 | ICML | An Iterative Locally Linear Embedding Algorithm. | Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie |
| 2011 | CIKM | Robust nonnegative matrix factorization using L21-norm. | Deguang Kong, Chris H. Q. Ding, Heng Huang |
| 2011 | SecureComm | SA3: Automatic Semantic Aware Attribution Analysis of Remote Exploits. | Deguang Kong, Donghai Tian, Peng Liu, Dinghao Wu |
| 2010 | SecureComm | SAS: Semantics Aware Signature Generation for Polymorphic Worm Detection. | Deguang Kong, Yoon-chan Jhi, Tao Gong, Sencun Zhu, Peng Liu, Hongsheng Xi |