An energy-saving scheme for cellular networks based on frequency distribution. - Weiting Li; Xiaoning Zhang; Lemin Li; Sheng Wang 006 (ISCIT, 2011)

A low power and high speed CAM design using pulsed voltage for search-line. - Song Jia; Weiting Li; Wenyi Tang; Yuan Wang 001 (ASICON, 2015)

An Action Unit co-occurrence constraint 3DCNN based Action Unit recognition approach. - Xibin Jia; Weiting Li; Yuechen Wang; Sung-Chan Hong; Xing Su 001 (KSII Trans. Internet Inf. Syst., 2020)

Privacy Budgeting for Growing Machine Learning Datasets. - Weiting Li; Liyao Xiang; Zhou Zhou; Feng Peng (INFOCOM, 2021)

Improved Matrix Gaussian Mechanism for Differential Privacy. - Jungang Yang 002; Liyao Xiang; Weiting Li; Wei Liu; Xinbing Wang (CoRR, 2021)

Artistic Arbitrary Style Transfer. - Weiting Li; Rahul Vyas; Ramya Sree Penta (CoRR, 2022)

Data-aware relation learning-based graph convolution neural network for facial action unit recognition. - Xibin Jia; Yuhan Zhou; Weiting Li; Jinghua Li; Baocai Yin (Pattern Recognit. Lett., 2022)

Differential Privacy for Tensor-Valued Queries. - Jungang Yang 002; Liyao Xiang; Ruidong Chen; Weiting Li; Baochun Li (IEEE Trans. Inf. Forensics Secur., 2022)

DPlanner: A Privacy Budgeting System for Utility. - Weiting Li; Liyao Xiang; Bin Guo 001; Zhetao Li; Xinbing Wang (IEEE Trans. Inf. Forensics Secur., 2023)

A novel dual-channel graph convolutional neural network for facial action unit recognition. - Xibin Jia; Shaowu Xu; Yuhan Zhou; Luo Wang; Weiting Li (Pattern Recognit. Lett., 2023)

Differentially-Private Deep Learning With Directional Noise. - Liyao Xiang; Weiting Li; Jungang Yang 002; Xinbing Wang; Baochun Li (IEEE Trans. Mob. Comput., 2023)

Unified End-to-End V2X Cooperative Autonomous Driving. - Zhiwei Li; Bozhen Zhang; Lei Yang; Tianyu Shen; Nuo Xu; Ruosen Hao; Weiting Li; Tao Yan; Huaping Liu (CoRR, 2024)

Predicting COVID-19 Outcomes Among Albertans With Diabetes and COVID-19: A Machine Learning Approach. - Dean Eurich; Darren Lau; Weiting Li; Olivia R. Weaver; Tanya Joon; Ming Ye; Finlay A. McAlister; Padma Kaul; Salim Samanani (Adv. Artif. Intell. Mach. Learn., 2025)