Double Sample Data Fusion Method Based on Combination Rules. - Jianbin Xiong; Qinghua Zhang; Zhiping Peng; Guoxi Sun; Yongda Cai (IEEE Access, 2016)

28.6 A 78.5dB-SNDR radiation- and metastability-tolerant two-step split SAR ADC operating up to 75MS/s with 24.9mW power consumption in 65nm CMOS. - Hongda Xu; Yongda Cai; Ling Du; Yuan Zhou 011; Benwei Xu; Datao Gong; Jingbo Ye; Yun Chiu (ISSCC, 2017)

Two-Step Residue Transfer Technique for High-Speed Pipeline A/Ds. - Sudipta Sarkar; Yongda Cai; Anubhav Adak (VLSID, 2017)

A 2-GS/s 8-bit Non-Interleaved Time-Domain Flash ADC Based on Remainder Number System in 65-nm CMOS. - Shuang Zhu; Bo Wu 009; Yongda Cai; Yun Chiu (IEEE J. Solid State Circuits, 2018)

A 78.5-dB SNDR Radiation- and Metastability-Tolerant Two-Step Split SAR ADC Operating Up to 75 MS/s With 24.9-mW Power Consumption in 65-nm CMOS. - Hongda Xu; Hai Huang 010; Yongda Cai; Ling Du; Yuan Zhou 011; Benwei Xu; Datao Gong; Jingbo Ye; Yun Chiu (IEEE J. Solid State Circuits, 2019)

Fast adaptive neighbors clustering via embedded clustering. - Yijun Liu; Yongda Cai; Xiaojun Yang; Feiping Nie 001; Wujian Ye (Neurocomputing, 2020)

Safety monitoring of machinery equipment and fault diagnosis method based on support vector machine and improved evidence theory. - Xingtong Zhu; Jianbin Xiong; Yeh-Cheng Chen; Yongda Cai (Int. J. Inf. Comput. Secur., 2022)

A new method to build the adaptive k-nearest neighbors similarity graph matrix for spectral clustering. - Yongda Cai; Joshua Zhexue Huang; Jianfei Yin (Neurocomputing, 2022)

Fast spectral clustering with self-adapted bipartite graph learning. - Xiaojun Yang; Mingjun Zhu; Yongda Cai; Zheng Wang 037; Feiping Nie 001 (Inf. Sci., 2023)

Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization. - Yongda Cai; Joshua Zhexue Huang; Alladoumbaye Ngueilbaye; Xudong Sun 004 (Appl. Soft Comput., 2024)

Non-MapReduce computing for intelligent big data analysis. - Xudong Sun 004; Lingxiang Zhao; Jiaqi Chen; Yongda Cai; Dingming Wu 001; Joshua Zhexue Huang (Eng. Appl. Artif. Intell., 2024)

CDFRS: A scalable sampling approach for efficient big data analysis. - Yongda Cai; Dingming Wu 001; Xudong Sun 004; Siyue Wu; Jingsheng Xu; Joshua Zhexue Huang (Inf. Process. Manag., 2024)

A scalable and flexible basket analysis system for big transaction data in Spark. - Xudong Sun 004; Alladoumbaye Ngueilbaye; Kaijing Luo; Yongda Cai; Dingming Wu 001; Joshua Zhexue Huang (Inf. Process. Manag., 2024)

Joint learning of fuzzy embedded clustering and non-negative spectral clustering. - Wujian Ye; Jiada Wang; Yongda Cai; Yijun Liu; Huihui Zhou; Chin-Chen Chang 001 (Multim. Tools Appl., 2024)

Spectral ensemble clustering with doubly stochastic co-association matrix. - Yongda Cai; Mohammad Sultan Mahmud; Jingsheng Xu; Xudong Sun 004; Joshua Zhexue Huang (Inf. Sci., 2025)