Da Kuang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 17

Top Venues

CoRR

Bioinform.

J. Glob. Optim.

IEEE Trans. Geosci. Remote. Sens.

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Yinbin Miao, Da Kuang, Lihuiwang, Tao Leng, Ximeng Liu, Jian Feng Ma
Efficient privacy-preserving federated learning under dishonest-majority setting. Sci. China Inf. Sci. 67 (5) (2024)
Deng Ai, Haofeng Wang, Da Kuang, Xiuqi Zhang, Xiaojun Rao
Measuring pedestrians' movement and building a visual-based attractiveness map of public spaces using smartphones. Comput. Environ. Urban Syst. 108 (2024)
Guanwen Qiu, Da Kuang, Surbhi Goel
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations. CoRR (2024)
Yinbin Miao, Da Kuang, Xinghua Li, Shujiang Xu, Hongwei Li, Kim-Kwang Raymond Choo, Robert H. Deng
Privacy-Preserving Asynchronous Federated Learning Under Non-IID Settings. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Yanrong Liang, Jianfeng Ma, Yinbin Miao, Da Kuang, Xiangdong Meng, Robert H. Deng
Privacy-Preserving Bloom Filter-Based Keyword Search Over Large Encrypted Cloud Data. IEEE Trans. Computers 72 (11) (2023)
Li Huang, Da Kuang, Cheng-Long Li, Yu-Jian Zhuang, Shaohua Duan, Xiaoyi Zhou
A self-embedding secure fragile watermarking scheme with high quality recovery. J. Vis. Commun. Image Represent. 83 (2022)
Da Kuang, Jochen Weile, Nishka Kishore, Maria Nguyen, Alan F. Rubin, Stanley Fields, Douglas M. Fowler, Frederick P. Roth
MaveRegistry: a collaboration platform for multiplexed assays of variant effect. Bioinform. 37 (19) (2021)
Kai Yuan, Da Kuang
Deep Pairwise Learning To Rank For Search Autocomplete. CoRR (2021)
Da Kuang, Rebecca Truty, Jochen Weile, Britt Johnson, Keith Nykamp, Carlos Araya, Robert L. Nussbaum, Frederick P. Roth
Prioritizing genes for systematic variant effect mapping. Bioinform. 36 (22-23) (2021)
Da Kuang, Mo Kuang
The Sustainable Development of the Internet Economy Under the Background of Big Data. ATCI (1) (2021)
Da Kuang, Jochen Weile, Roujia Li, Tom W. Ouellette, Jarry A. Barber, Frederick P. Roth
MaveQuest: a web resource for planning experimental tests of human variant effects. Bioinform. 36 (12) (2020)
Da Kuang, Junhyong Kim
Resistant Fit Regression Normalization for Single-cell RNA-seq Data. BIBE (2020)
Rundong Du, Da Kuang, Barry L. Drake, Haesun Park
DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling. J. Glob. Optim. 68 (4) (2017)
Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso, Da Kuang
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. IEEE Trans. Geosci. Remote. Sens. 55 (5) (2017)
Da Kuang, P. Jeffrey Brantingham, Andrea L. Bertozzi
Crime Topic Modeling. CoRR (2017)
Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Da Kuang, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso
Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. CoRR (2016)
Da Kuang, Zuoqiang Shi, Stanley J. Osher, Andrea L. Bertozzi
A Harmonic Extension Approach for Collaborative Ranking. CoRR (2016)
Rundong Du, Zhongming Lu, Arka Pandit, Da Kuang, John Crittenden, Haesun Park
Toward Social Media Opinion Mining for Sustainability Research. AAAI Workshop: Computational Sustainability (2015)
Nicolas Gillis, Da Kuang, Haesun Park
Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 53 (4) (2015)
Da Kuang, Sangwoon Yun, Haesun Park
SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. J. Glob. Optim. 62 (3) (2015)
Da Kuang, Alex Gittens, Raffay Hamid
Hardware compliant approximate image codes. CVPR (2015)
Da Kuang, Raffay Hamid
piCholesky: Polynomial Interpolation of Multiple Cholesky Factors for Efficient Approximate Cross-Validation. CoRR (2014)
Eileen A. Ni, Da Kuang, Charles X. Ling
Decisive Supervised Learning. PAKDD (1) (2013)
Nicolas Gillis, Da Kuang, Haesun Park
Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization. CoRR (2013)
Da Kuang, Haesun Park
Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. KDD (2013)
Da Kuang, Charles X. Ling, Jun Du
Foundation of Mining Class-Imbalanced Data. PAKDD (1) (2012)
Xiao Li, Da Kuang, Charles X. Ling
Active Learning for Hierarchical Text Classification. PAKDD (1) (2012)
Da Kuang, Haesun Park, Chris H. Q. Ding
Symmetric Nonnegative Matrix Factorization for Graph Clustering. SDM (2012)
Da Kuang, Xiao Li, Charles X. Ling
A New Search Engine Integrating Hierarchical Browsing and Keyword Search. IJCAI (2011)
Da Kuang, Jinhua Zheng
Strategies based on polar coordinates to keep diversity in multi-objective genetic algorithm. Congress on Evolutionary Computation (2005)

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Publication Activity (10 Years)

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Da Kuang