Deguang Kong

According to our database, Deguang Kong authored at least 53 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Cauchy balanced nonnegative matrix factorization.

He Xiong, Deguang Kong, Feiping Nie

Artif. Intell. Rev., October, 2023

Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting.

Zijun Yao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang, Hui Xiong

IEEE Trans. Big Data, February, 2023

Learning Personalized User Preference from Cold Start in Multi-turn Conversations.

Deguang Kong, Abhay Jha, Lei Yun

CoRR, 2023

Personalized Search Via Neural Contextual Semantic Relevance Ranking.

Deguang Kong, Daniel Xiaodan Zhou, Zhiheng Huang, Steph Sigalas

CoRR, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.

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

CoRR, 2023

Robust Consensus Clustering and its Applications for Advertising Forecasting.

Deguang Kong, Miao Lu, Konstantin Shmakov, Jian Yang

CoRR, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Language Agnostic Multilingual Information Retrieval with Contrastive Learning.

Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes.

Deguang Kong, Konstantin Shmakov, Jian Yang

CoRR, 2022

Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization.

Deguang Kong, Konstantin Shmakov, Jian Yang

CoRR, 2022

2021

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.

Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin

Proceedings of the WSDM '21, 2021

2020

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

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Elastic nonnegative matrix factorization.

He Xiong, Deguang Kong

Pattern Recognit., 2019

Mobile App Risk Ranking via Exclusive Sparse Coding.

Deguang Kong, Lei Cen

Proceedings of the World Wide Web Conference, 2019

2018

An Inflection Point Approach for Advertising Bid Optimization.

Deguang Kong, Konstantin Shmakov, Jian Yang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Demystifying Advertising Campaign for CPA Goal Optimization.

Deguang Kong, Konstantin Shmakov, Jian Yang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A Combinational Optimization Approach for Advertising Budget Allocation.

Deguang Kong, Xiannian Fan, Konstantin Shmakov, Jian Yang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting.

Hongchang Gao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices.

Dawei Li, Xiaolong Wang, Deguang Kong

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Science Driven Innovations Powering Mobile Product: Cloud AI vs. Device AI Solutions on Smart Device.

Deguang Kong

CoRR, 2017

Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification.

Xiaolong Wang, Yin Zhou, Deguang Kong, Jon Currey, Dawei Li, Jiayu Zhou

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps.

Wei Yang, Deguang Kong, Tao Xie, Carl A. Gunter

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

PUPPIES: Transformation-Supported Personalized Privacy Preserving Partial Image Sharing.

Jianping He, Bin Liu, Deguang Kong, Xuan Bao, Na Wang, Hongxia Jin, George Kesidis

Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features.

Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Uncorrelated Group LASSO.

Deguang Kong, Ji Liu, Bo Liu, Xuan Bao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference.

Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning.

Deguang Kong, Hongxia Jin

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments.

Lei Cen, Deguang Kong, Hongxia Jin, Luo Si

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

PinPlace: associate semantic meanings with indoor locations without active fingerprinting.

Xuan Bao, Bin Liu, Bo Tang, Bing Hu, Deguang Kong, Hongxia Jin

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

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

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications.

Deguang Kong, Lei Cen, Hongxia Jin

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

2014

Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm.

Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Transductive malware label propagation: Find your lineage from your neighbors.

Deguang Kong, Guanhua Yan

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Robust Non-Negative Dictionary Learning.

Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Pairwise-Covariance Linear Discriminant Analysis.

Deguang Kong, Chris H. Q. Ding

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Non-Convex Feature Learning via L_{p, inf} Operator.

Deguang Kong, Chris H. Q. Ding

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Semantic aware attribution analysis of remote exploits.

Deguang Kong, Donghai Tian, Qiha Pan, Peng Liu, Dinghao Wu

Secur. Commun. Networks, 2013

Discriminant malware distance learning on structuralinformation for automated malware classification.

Deguang Kong, Guanhua Yan

Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

Collective Kernel Construction in Noisy Environment.

Chris H. Q. Ding, Deguang Kong, Miao Zhang

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective.

Deguang Kong, Miao Zhang, Chris H. Q. Ding

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Discriminant malware distance learning on structural information for automated malware classification.

Deguang Kong, Guanhua Yan

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso.

Deguang Kong, Chris H. Q. Ding

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Exploring Discriminatory Features for Automated Malware Classification.

Guanhua Yan, Nathan Brown, Deguang Kong

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2013

2012

Maximum Consistency Preferential Random Walks.

Deguang Kong, Chris H. Q. Ding

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

An Iterative Locally Linear Embedding Algorithm.

Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie

Proceedings of the 29th International Conference on Machine Learning, 2012

A Semi-definite Positive Linear Discriminant Analysis and Its Applications.

Deguang Kong, Chris H. Q. Ding

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Nonnegative matrix factorization using a robust error function.

Chris H. Q. Ding, Deguang Kong

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Multi-label ReliefF and F-statistic feature selections for image annotation.

Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

SAS: semantics aware signature generation for polymorphic worm detection.

Deguang Kong, Yoon-chan Jhi, Tao Gong, Sencun Zhu, Peng Liu, Hongsheng Xi

Int. J. Inf. Sec., 2011

SA3: Automatic Semantic Aware Attribution Analysis of Remote Exploits.

Deguang Kong, Donghai Tian, Peng Liu, Dinghao Wu

Proceedings of the Security and Privacy in Communication Networks, 2011

Robust nonnegative matrix factorization using L21-norm.

Deguang Kong, Chris H. Q. Ding, Heng Huang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Protecting Kernel Data through Virtualization Technology.

Donghai Tian, Deguang Kong, Changzhen Hu, Peng Liu

Proceedings of the Fourth International Conference on Emerging Security Information Systems and Technologies, 2010

2007

ISA: a source code static vulnerability detection system based on data fusion.

Deguang Kong, Quan Zheng, Chao Chen, Jianmei Shuai, Ming Zhu

Proceedings of the 2nf International Conference on Scalable Information Systems, 2007