Strategies based on polar coordinates to keep diversity in multi-objective genetic algorithm. - Da Kuang; Jinhua Zheng (Congress on Evolutionary Computation, 2005)

A New Search Engine Integrating Hierarchical Browsing and Keyword Search. - Da Kuang; Xiao Li; Charles X. Ling (IJCAI, 2011)

Foundation of Mining Class-Imbalanced Data. - Da Kuang; Charles X. Ling; Jun Du 005 (PAKDD (1), 2012)

Active Learning for Hierarchical Text Classification. - Xiao Li; Da Kuang; Charles X. Ling (PAKDD (1), 2012)

Symmetric Nonnegative Matrix Factorization for Graph Clustering. - Da Kuang; Haesun Park; Chris H. Q. Ding (SDM, 2012)

Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. - Da Kuang; Haesun Park (KDD, 2013)

Decisive Supervised Learning. - Eileen A. Ni; Da Kuang; Charles X. Ling (PAKDD (1), 2013)

piCholesky: Polynomial Interpolation of Multiple Cholesky Factors for Efficient Approximate Cross-Validation. - Da Kuang; Raffay Hamid (CoRR, 2014)

Nonnegative matrix factorization for clustering. - Da Kuang (2014)

Toward Social Media Opinion Mining for Sustainability Research. - Rundong Du; Zhongming Lu; Arka Pandit; Da Kuang; John Crittenden; Haesun Park (AAAI Workshop: Computational Sustainability, 2015)

Hardware compliant approximate image codes. - Da Kuang; Alex Gittens; Raffay Hamid (CVPR, 2015)

SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. - Da Kuang; Sangwoon Yun; Haesun Park (J. Glob. Optim., 2015)

Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization. - Nicolas Gillis; Da Kuang; Haesun Park (IEEE Trans. Geosci. Remote. Sens., 2015)

A Harmonic Extension Approach for Collaborative Ranking. - Da Kuang; Zuoqiang Shi; Stanley J. Osher; Andrea L. Bertozzi (CoRR, 2016)

Crime Topic Modeling. - Da Kuang; P. Jeffrey Brantingham; Andrea L. Bertozzi (CoRR, 2017)

DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling. - Rundong Du; Da Kuang; Barry L. Drake; Haesun Park (J. Glob. Optim., 2017)

Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. - Wei Zhu 007; Victoria Chayes; Alexandre Tiard; Stephanie Sánchez; Devin Dahlberg; Andrea L. Bertozzi; Stanley J. Osher; Dominique Zosso; Da Kuang (IEEE Trans. Geosci. Remote. Sens., 2017)

Resistant Fit Regression Normalization for Single-cell RNA-seq Data. - Da Kuang; Junhyong Kim (BIBE, 2020)

MaveQuest: a web resource for planning experimental tests of human variant effects. - Da Kuang; Jochen Weile; Roujia Li; Tom W. Ouellette; Jarry A. Barber; Frederick P. Roth (Bioinform., 2020)

The Sustainable Development of the Internet Economy Under the Background of Big Data. - Da Kuang; Mo Kuang (ATCI (1), 2021)

Prioritizing genes for systematic variant effect mapping. - Da Kuang; Rebecca Truty; Jochen Weile; Britt Johnson; Keith Nykamp; Carlos Araya; Robert L. Nussbaum; Frederick P. Roth (Bioinform., 2021)

MaveRegistry: a collaboration platform for multiplexed assays of variant effect. - Da Kuang; Jochen Weile; Nishka Kishore; Maria Nguyen; Alan F. Rubin; Stanley Fields; Douglas M. Fowler; Frederick P. Roth (Bioinform., 2021)

Deep Pairwise Learning To Rank For Search Autocomplete. - Kai Yuan; Da Kuang (CoRR, 2021)

A self-embedding secure fragile watermarking scheme with high quality recovery. - Li Huang; Da Kuang; Cheng-Long Li; Yu-Jian Zhuang; Shaohua Duan; Xiaoyi Zhou (J. Vis. Commun. Image Represent., 2022)

Privacy-Preserving Bloom Filter-Based Keyword Search Over Large Encrypted Cloud Data. - Yanrong Liang; Jianfeng Ma 001; Yinbin Miao; Da Kuang; Xiangdong Meng; Robert H. Deng (IEEE Trans. Computers, 2023)

Complexity Matters: Feature Learning in the Presence of Spurious Correlations. - Guanwen Qiu; Da Kuang; Surbhi Goel (ICML, 2024)

Efficient privacy-preserving federated learning under dishonest-majority setting. - Yinbin Miao; Da Kuang; Lihuiwang 002; Tao Leng; Ximeng Liu; Jian Feng Ma 001 (Sci. China Inf. Sci., 2024)

Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations. - Guanwen Qiu; Da Kuang; Surbhi Goel (CoRR, 2024)

Privacy-Preserving Asynchronous Federated Learning Under Non-IID Settings. - Yinbin Miao; Da Kuang; Xinghua Li 001; Shujiang Xu; Hongwei Li 001; Kim-Kwang Raymond Choo; Robert H. Deng (IEEE Trans. Inf. Forensics Secur., 2024)

Measuring pedestrians' movement and building a visual-based attractiveness map of public spaces using smartphones. - Deng Ai; Haofeng Wang; Da Kuang; Xiuqi Zhang; Xiaojun Rao (Comput. Environ. Urban Syst., 2024)

Enhanced Model Poisoning Attack and Multi-Strategy Defense in Federated Learning. - Li Yang 005; Yinbin Miao; Ziteng Liu; Zhiquan Liu; Xinghua Li 001; Da Kuang; Hongwei Li 001; Robert H. Deng (IEEE Trans. Inf. Forensics Secur., 2025)

Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning. - Da Kuang; Guanwen Qiu; Junhyong Kim (CoRR, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)