Real-Time Plasma Process Condition Sensing and Abnormal Process Detection. - Ryan Yang; Rongshun Chen (Sensors, 2010)

Real-Time Fault Classification for Plasma Processes. - Ryan Yang; Rongshun Chen (Sensors, 2011)

Allystar low power/small chip size dual-frequency RTK solution. - Altti Jokinen; Ryan Yang; Yi-Fen Tseng; Hongtao Yu; Mingo Tsai; Gary Hau; Ali Pirsiavash; Marco Mendonca (ENC, 2020)

Efficient Implementations for UWEP Incremental Frequent Itemset Mining Algorithm. - Mehmet Bicer; Daniel Indictor; Ryan Yang; Xiaowen Zhang (Int. J. Appl. Logist., 2021)

PG3: Policy-Guided Planning for Generalized Policy Generation. - Ryan Yang; Tom Silver; Aidan Curtis; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IJCAI, 2022)

Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings. - Ryan Yang; Haizhou Du; Andre Wibisono; Patrick Baker (MILCOM, 2022)

Transport control networking: optimizing efficiency and control of data transport for data-intensive networks. - Jacob Dunefsky; Mahdi Soleimani; Ryan Yang; Jordi Ros-Giralt; Mario Lassnig; Inder Monga; Frank K. Würthwein; Jingxuan Zhang; Kai Gao 001; Y. Richard Yang (NAI@SIGCOMM, 2022)

Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions. - Haizhou Du; Ryan Yang; Yijian Chen; Qiao Xiang; Andre Wibisono; Wei Huang (CoRR, 2022)

Near Candidate-Less Apriori With Tidlists and Other Apriori Implementations. - Mehmet Bicer; Daniel Indictor; Ryan Yang; Xiaowen Zhang (Int. J. Appl. Logist., 2022)

Performing Machine Learning Based Outlier Detection for Automotive Grade Products. - Y. L. Yang; P. C. Tsao; C. W. Lin; Ross Lee; Olivia Ni; T. T. Chen; Y. J. Ting; C. T. Lai; Jason Yeh; Arnold Yang; Wayne Huang 003; Peng Chen; et al. (IRPS, 2023)

Wearable Body Sensors Integrated into a Virtual Reality Environment - A Modality for Automating the Rehabilitation of the Motor Control System. - Seungmin Jung; Mianzhi Zhou; Ji Ma 006; Ryan Yang; Steven C. Cramer; Bruce H. Dobkin; Lin F. Yang; Jacob Rosen 001 (EMBC, 2024)

HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links. - Haizhou Du; Yijian Chen; Ryan Yang; Yuchen Li 006; Linghe Kong (NeurIPS, 2024)