De Wang

According to our database, De Wang authored at least 41 papers between 2008 and 2024.

Collaborative distances:

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

2024

On Inductive Biases That Enable Generalization of Diffusion Transformers.

Jie An, De Wang, Pengsheng Guo, Jiebo Luo, Alexander Schwing

CoRR, 2024

2023

Combination Balance Correction of Grinding Disk Based on Improved Quantum Genetic Algorithm.

Bangcheng Zhang, Siyu Chen, Siyang Gao, Zhi Gao, De Wang, Xiyu Zhang

IEEE Trans. Instrum. Meas., 2023

A new approach for identifying urban employment centers using mobile phone data: a case study of Shanghai.

Longxu Yan, Yishu Wang, De Wang, Shangwu Zhang, Yang Xiao

Int. J. Geogr. Inf. Sci., 2023

Design and Kinematics Analysis of Cervical Traction Rehabilitation Mechanism Based on 3-SPR.

Yage Wang, Wenjie Liang, Qianyu Liu, De Wang, Wei Li

Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023

2020

Beyond Artificial Reality: Finding and Monitoring Live Events from Social Sensors.

Calton Pu, Abhijit Suprem, Rodrigo Alves Lima, Aibek Musaev, De Wang, Danesh Irani, Steve Webb, João Eduardo Ferreira

ACM Trans. Internet Techn., 2020

Towards in-store multi-person tracking using head detection and track heatmaps.

Aibek Musaev, Jiangping Wang, Liang Zhu, Cheng Li, Yi Chen, Jialin Liu, Wanqi Zhang, Juan Mei, De Wang

CoRR, 2020

2019

Argoverse: 3D Tracking and Forecasting With Rich Maps.

Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Novel Virtual Traffic Light Algorithm Based on V2V for Single Intersection in Vehicular Networks.

Longjiang Guo, De Wang, Peng Li, Lichen Zhang, Meirei Ren, Hong Liu, A'na Wang

Proceedings of the Combinatorial Optimization and Applications, 2019

2018

Using mobile signaling data to exam urban park service radius in Shanghai: methods and limitations.

Yujia Zhai, Hangbin Wu, Hongchao Fan, De Wang

Comput. Environ. Urban Syst., 2018

Scalable and accurate deep learning with electronic health records.

Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean

npj Digit. Medicine, 2018

Scalable and accurate deep learning for electronic health records.

Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc V. Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Greg Corrado, Jeff Dean

CoRR, 2018

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Detection Models.

Jack W. Stokes, De Wang, Mady Marinescu, Marc Marino, Brian Bussone

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization.

Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

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

2017

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models.

Jack W. Stokes, De Wang, Mady Marinescu, Marc Marino, Brian Bussone

CoRR, 2017

REX: Rapid Ensemble Classification System for Landslide Detection Using Social Media.

Aibek Musaev, De Wang, Jiateng Xie, Calton Pu

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering.

De Wang, Feiping Nie, Heng Huang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Task Relational Structure for Multi-task Feature Learning.

De Wang, Feiping Nie, Heng Huang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Information Diffusion Analysis of Rumor Dynamics over a Social-Interaction Based Model.

De Wang, Aibek Musaev, Calton Pu

Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

2015

LITMUS: A Multi-Service Composition System for Landslide Detection.

Aibek Musaev, De Wang, Calton Pu

IEEE Trans. Serv. Comput., 2015

Feature Selection via Global Redundancy Minimization.

De Wang, Feiping Nie, Heng Huang

IEEE Trans. Knowl. Data Eng., 2015

BEAN: A BEhavior ANalysis Approach of URL Spam Filtering in Twitter.

De Wang, Calton Pu

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Fast Text Classification Using Randomized Explicit Semantic Analysis.

Aibek Musaev, De Wang, Saajan Shridhar, Calton Pu

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Toward a Real-Time Service for Landslide Detection: Augmented Explicit Semantic Analysis and Clustering Composition Approaches.

Aibek Musaev, De Wang, Saajan Shridhar, Chien-An Lai, Calton Pu

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Multi-hazard Detection by Integrating Social Media and Physical Sensors.

Aibek Musaev, De Wang, Calton Pu

Proceedings of the Social Media for Government Services, 2015

2014

SPADE: a social-spam analytics and detection framework.

De Wang, Danesh Irani, Calton Pu

Soc. Netw. Anal. Min., 2014

A Perspective of Evolution After Five Years: A Large-Scale Study of Web Spam Evolution.

De Wang, Danesh Irani, Calton Pu

Int. J. Cooperative Inf. Syst., 2014

Is Email Business Dying?: A Study on Evolution of Email Spam Over Fifteen Years.

De Wang, Danesh Irani, Calton Pu

EAI Endorsed Trans. Collab. Comput., 2014

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK).

De Wang, Feiping Nie, Heng Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model.

De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Large-scale adaptive semi-supervised learning via unified inductive and transductive model.

De Wang, Feiping Nie, Heng Huang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

LITMUS: Landslide detection by integrating multiple sources.

Aibek Musaev, De Wang, Calton Pu

Proceedings of the 11th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2014

Landslide Detection Service Based on Composition of Physical and Social Information Services.

Aibek Musaev, De Wang, Chien-An Cho, Calton Pu

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Analysis and detection of low quality information in social networks.

De Wang

Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

2013

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.

De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen

Proceedings of the Information Processing in Medical Imaging, 2013

Click traffic analysis of short URL spam on Twitter.

De Wang, Shamkant B. Navathe, Ling Liu, Danesh Irani, Acar Tamersoy, Calton Pu

Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, 2013

A study on evolution of email spam over fifteen years.

De Wang, Danesh Irani, Calton Pu

Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, 2013

2012

Evolutionary study of web spam: Webb Spam Corpus 2011 versus Webb Spam Corpus 2006.

De Wang, Danesh Irani, Calton Pu

Proceedings of the 8th International Conference on Collaborative Computing: Networking, 2012

2011

A social-spam detection framework.

De Wang, Danesh Irani, Calton Pu

Proceedings of the 8th Annual Collaboration, 2011

2010

An improved ant colony algorithm for continuous space optimization.

Liang Yang, Zheng-Qi Fu, De Wang, He-Long Li, Jingbo Xia

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009

Image Encryption Algorithm Based on S-boxes Substitution and Chaos Random Sequence.

De Wang, Yuan-Biao Zhang

Proceedings of the International Conference on Computer Modeling and Simulation, 2009

2008

Replacement and Structure of S-Boxes in Rijndael.

De Wang, Shi-Liang Sun

Proceedings of the International Conference on Computer Science and Software Engineering, 2008