Replacement and Structure of S-Boxes in Rijndael. - De Wang; Shi-Liang Sun (CSSE (3), 2008)

Image Encryption Algorithm Based on S-boxes Substitution and Chaos Random Sequence. - De Wang; Yuan-Biao Zhang (ICCMS, 2009)

An improved ant colony algorithm for continuous space optimization. - Liang Yang; Zheng-Qi Fu; De Wang; He-Long Li; Jingbo Xia (ICMLC, 2010)

A social-spam detection framework. - De Wang; Danesh Irani; Calton Pu (CEAS, 2011)

Evolutionary study of web spam: Webb Spam Corpus 2011 versus Webb Spam Corpus 2006. - De Wang; Danesh Irani; Calton Pu (CollaborateCom, 2012)

A study on evolution of email spam over fifteen years. - De Wang; Danesh Irani; Calton Pu (CollaborateCom, 2013)

Click traffic analysis of short URL spam on Twitter. - De Wang; Shamkant B. Navathe; Ling Liu 001; Danesh Irani; Acar Tamersoy; Calton Pu (CollaborateCom, 2013)

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. - De Wang; Feiping Nie 001; Heng Huang; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (IPMI, 2013)

Analysis and detection of low quality information in social networks. - De Wang (ICDE Workshops, 2014)

Landslide Detection Service Based on Composition of Physical and Social Information Services. - Aibek Musaev; De Wang; Chien-An Cho; Calton Pu (ICWS, 2014)

LITMUS: Landslide detection by integrating multiple sources. - Aibek Musaev; De Wang; Calton Pu (ISCRAM, 2014)

Large-scale adaptive semi-supervised learning via unified inductive and transductive model. - De Wang; Feiping Nie 001; Heng Huang (KDD, 2014)

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. - De Wang; Yang Wang; Feiping Nie 001; Jingwen Yan; Tom Weidong Cai; Andrew J. Saykin; Li Shen 001; Heng Huang (MICCAI (3), 2014)

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK). - De Wang; Feiping Nie 001; Heng Huang (ECML/PKDD (3), 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)

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)

SPADE: a social-spam analytics and detection framework. - De Wang; Danesh Irani; Calton Pu (Soc. Netw. Anal. Min., 2014)

Multi-hazard Detection by Integrating Social Media and Physical Sensors. - Aibek Musaev; De Wang; Calton Pu (Social Media for Government Services, 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 (ICWS, 2015)

Fast Text Classification Using Randomized Explicit Semantic Analysis. - Aibek Musaev; De Wang; Saajan Shridhar; Calton Pu (IRI, 2015)

BEAN: A BEhavior ANalysis Approach of URL Spam Filtering in Twitter. - De Wang; Calton Pu (IRI, 2015)

Feature Selection via Global Redundancy Minimization. - De Wang; Feiping Nie 001; Heng Huang (IEEE Trans. Knowl. Data Eng., 2015)

LITMUS: A Multi-Service Composition System for Landslide Detection. - Aibek Musaev; De Wang; Calton Pu (IEEE Trans. Serv. Comput., 2015)

Analysis and detection of low quality information in social networks. - De Wang (2015)

Information Diffusion Analysis of Rumor Dynamics over a Social-Interaction Based Model. - De Wang; Aibek Musaev; Calton Pu (CIC, 2016)

Learning Task Relational Structure for Multi-task Feature Learning. - De Wang; Feiping Nie 001; Heng Huang (ICDM, 2016)

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering. - De Wang; Feiping Nie 001; Heng Huang (IJCAI, 2016)

REX: Rapid Ensemble Classification System for Landslide Detection Using Social Media. - Aibek Musaev; De Wang; Jiateng Xie; Calton Pu (ICDCS, 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)

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. - Bin Gu 001; De Wang; Zhouyuan Huo; Heng Huang (AAAI, 2018)

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Detection Models. - Jack W. Stokes; De Wang; Mady Marinescu; Marc Marino; Brian Bussone (MILCOM, 2018)

Scalable and accurate deep learning for electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Peter J. Liu; Xiaobing Liu; Mimi Sun; Patrik Sundberg; Hector Yee; Kun Zhang 043; Gavin E. Duggan; et al. (CoRR, 2018)

Scalable and accurate deep learning with electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Michaela Hardt; Peter J. Liu; Xiaobing Liu; Jake Marcus; Mimi Sun; Patrik Sundberg; Hector Yee; et al. (npj Digit. Medicine, 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)

A Novel Virtual Traffic Light Algorithm Based on V2V for Single Intersection in Vehicular Networks. - Longjiang Guo; De Wang; Peng Li 016; Lichen Zhang 001; Meirei Ren; Hong Liu; A'na Wang (COCOA, 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 001; Simon Lucey; Deva Ramanan; James Hays (CVPR, 2019)

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)

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)

Design and Kinematics Analysis of Cervical Traction Rehabilitation Mechanism Based on 3-SPR. - Yage Wang; Wenjie Liang; Qianyu Liu; De Wang; Wei Li (BIC, 2023)

A new approach for identifying urban employment centers using mobile phone data: a case study of Shanghai. - Longxu Yan; Yishu Wang 008; De Wang; Shangwu Zhang; Yang Xiao (Int. J. Geogr. Inf. Sci., 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)

On Inductive Biases That Enable Generalization of Diffusion Transformers. - Jie An 002; De Wang; Pengsheng Guo; Jiebo Luo 001; Alexander G. Schwing (CoRR, 2024)

The Super Weight in Large Language Models. - Mengxia Yu; De Wang; Qi Shan; Colorado Reed; Alvin Wan (CoRR, 2024)

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models. - Yu Zhang; Yang Hu; De Wang (CoRR, 2025)