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2020 – today
- 2024
[j12]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)- [j11]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: 5828-5841 (2024) - [j10]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: 102070 (2024) - [c12]Guanwen Qiu, Da Kuang, Surbhi Goel:
Complexity Matters: Feature Learning in the Presence of Spurious Correlations. ICML 2024 - [i7]Guanwen Qiu, Da Kuang, Surbhi Goel:
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations. CoRR abs/2403.03375 (2024) - 2023
- [j9]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): 3086-3098 (2023) - 2022
- [j8]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: 103437 (2022) - 2021
- [j7]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): 5448-5455 (2021) - [j6]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): 3382-3383 (2021) - [c11]Da Kuang, Mo Kuang:
The Sustainable Development of the Internet Economy Under the Background of Big Data. ATCI (1) 2021: 328-333 - [i6]Kai Yuan, Da Kuang:
Deep Pairwise Learning To Rank For Search Autocomplete. CoRR abs/2108.04976 (2021) - 2020
- [j5]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): 3938-3940 (2020) - [c10]Da Kuang, Junhyong Kim:
Resistant Fit Regression Normalization for Single-cell RNA-seq Data. BIBE 2020: 236-240
2010 – 2019
- 2017
- [j4]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): 777-798 (2017) - [j3]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): 2786-2798 (2017) - [i5]Da Kuang, P. Jeffrey Brantingham, Andrea L. Bertozzi:
Crime Topic Modeling. CoRR abs/1701.01505 (2017) - 2016
- [i4]Da Kuang, Zuoqiang Shi, Stanley J. Osher, Andrea L. Bertozzi:
A Harmonic Extension Approach for Collaborative Ranking. CoRR abs/1602.05127 (2016) - [i3]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 abs/1604.08182 (2016) - 2015
- [j2]Da Kuang, Sangwoon Yun, Haesun Park:
SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. J. Glob. Optim. 62(3): 545-574 (2015) - [j1]Nicolas Gillis, Da Kuang, Haesun Park:
Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 53(4): 2066-2078 (2015) - [c9]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 - [c8]Da Kuang, Alex Gittens, Raffay Hamid:
Hardware compliant approximate image codes. CVPR 2015: 924-932 - 2014
- [b1]Da Kuang:
Nonnegative matrix factorization for clustering. Georgia Institute of Technology, Atlanta, GA, USA, 2014 - [i2]Da Kuang, Raffay Hamid:
piCholesky: Polynomial Interpolation of Multiple Cholesky Factors for Efficient Approximate Cross-Validation. CoRR abs/1404.0466 (2014) - 2013
- [c7]Da Kuang, Haesun Park:
Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. KDD 2013: 739-747 - [c6]Eileen A. Ni, Da Kuang, Charles X. Ling:
Decisive Supervised Learning. PAKDD (1) 2013: 426-437 - [i1]Nicolas Gillis, Da Kuang, Haesun Park:
Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization. CoRR abs/1310.7441 (2013) - 2012
- [c5]Xiao Li, Da Kuang, Charles X. Ling:
Active Learning for Hierarchical Text Classification. PAKDD (1) 2012: 14-25 - [c4]Da Kuang, Charles X. Ling, Jun Du:
Foundation of Mining Class-Imbalanced Data. PAKDD (1) 2012: 219-230 - [c3]Da Kuang, Haesun Park, Chris H. Q. Ding:
Symmetric Nonnegative Matrix Factorization for Graph Clustering. SDM 2012: 106-117 - 2011
- [c2]Da Kuang, Xiao Li, Charles X. Ling:
A New Search Engine Integrating Hierarchical Browsing and Keyword Search. IJCAI 2011: 2464-2469
2000 – 2009
- 2005
- [c1]Da Kuang, Jinhua Zheng:
Strategies based on polar coordinates to keep diversity in multi-objective genetic algorithm. Congress on Evolutionary Computation 2005: 1276-1281
Coauthor Index
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