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Weiting Li
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2020 – today
- 2024
- [i3]Zhiwei Li, Bozhen Zhang, Lei Yang, Tianyu Shen, Nuo Xu, Ruosen Hao, Weiting Li, Tao Yan, Huaping Liu:
Unified End-to-End V2X Cooperative Autonomous Driving. CoRR abs/2405.03971 (2024) - 2023
- [j6]Xibin Jia, Shaowu Xu, Yuhan Zhou, Luo Wang, Weiting Li:
A novel dual-channel graph convolutional neural network for facial action unit recognition. Pattern Recognit. Lett. 166: 61-68 (2023) - [j5]Weiting Li
, Liyao Xiang
, Bin Guo
, Zhetao Li
, Xinbing Wang
:
DPlanner: A Privacy Budgeting System for Utility. IEEE Trans. Inf. Forensics Secur. 18: 1196-1210 (2023) - [j4]Liyao Xiang
, Weiting Li
, Jungang Yang
, Xinbing Wang
, Baochun Li
:
Differentially-Private Deep Learning With Directional Noise. IEEE Trans. Mob. Comput. 22(5): 2599-2612 (2023) - 2022
- [j3]Xibin Jia, Yuhan Zhou
, Weiting Li, Jinghua Li, Baocai Yin
:
Data-aware relation learning-based graph convolution neural network for facial action unit recognition. Pattern Recognit. Lett. 155: 100-106 (2022) - [j2]Jungang Yang
, Liyao Xiang
, Ruidong Chen, Weiting Li
, Baochun Li
:
Differential Privacy for Tensor-Valued Queries. IEEE Trans. Inf. Forensics Secur. 17: 152-164 (2022) - [i2]Weiting Li, Rahul Vyas, Ramya Sree Penta:
Artistic Arbitrary Style Transfer. CoRR abs/2212.11376 (2022) - 2021
- [c3]Weiting Li, Liyao Xiang, Zhou Zhou, Feng Peng:
Privacy Budgeting for Growing Machine Learning Datasets. INFOCOM 2021: 1-10 - [i1]Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang:
Improved Matrix Gaussian Mechanism for Differential Privacy. CoRR abs/2104.14808 (2021) - 2020
- [j1]Xibin Jia, Weiting Li, Yuechen Wang, Sung-Chan Hong, Xing Su:
An Action Unit co-occurrence constraint 3DCNN based Action Unit recognition approach. KSII Trans. Internet Inf. Syst. 14(3): 924-942 (2020)
2010 – 2019
- 2015
- [c2]Song Jia, Weiting Li, Wenyi Tang, Yuan Wang
:
A low power and high speed CAM design using pulsed voltage for search-line. ASICON 2015: 1-4 - 2011
- [c1]Weiting Li, Xiaoning Zhang, Lemin Li, Sheng Wang:
An energy-saving scheme for cellular networks based on frequency distribution. ISCIT 2011: 280-285
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