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Yangdong Liu
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2020 – today
- 2024
- [c7]Jinxiang Wang, Yangdong Liu, Shiping Zhu, Cheng Feng:
Temporal Enhanced Hybrid Neural Representation for Video Compression. PCS 2024: 1-5 - [i5]Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi:
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. CoRR abs/2402.04291 (2024) - [i4]Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi:
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. CoRR abs/2405.14917 (2024) - 2023
- [c6]Ying Li, Jingzhuo Liang, Gui Shi Jie, Yangdong Liu, Wei Huang, Yue Yan, Xianglong Liu:
An innovative experimental teaching method of hardware-software co-design-Taking a hardware accelerator of neural network using FPGA. FIE 2023: 1-5 - [i3]Liu Liu, Yukai Lin, Xiao Liang, Qichao Xu, Miao Jia, Yangdong Liu, Yuxiang Wen, Wei Luo, Jiangwei Li:
CyberLoc: Towards Accurate Long-term Visual Localization. CoRR abs/2301.02403 (2023) - [i2]Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu:
OHQ: On-chip Hardware-aware Quantization. CoRR abs/2309.01945 (2023) - 2022
- [j2]Jianwei Li, Wei Gao
, Yihong Wu, Yangdong Liu, Yanfei Shen:
High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review. Comput. Vis. Media 8(3): 369-393 (2022) - 2021
- [i1]Hao Zeng, Yangdong Liu, Dandan Zhang, Kunpeng Han, Haoyuan Hu:
A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment. CoRR abs/2109.03467 (2021)
2010 – 2019
- 2019
- [j1]Yangdong Liu
, Wei Gao
, Zhanyi Hu:
3D Scanning of High Dynamic Scenes Using an RGB-D Sensor and an IMU on a Mobile Device. IEEE Access 7: 24057-24070 (2019) - 2018
- [c5]Yangdong Liu, Wei Gao
, Zhanyi Hu:
High-Quality and Memory-Efficient Volumetric Integration of Depth Maps Using Plane Priors. ICPR 2018: 1749-1754 - [c4]Cheng Zhang, Linan Zhang, Yangdong Liu, Xiaoguang Yang:
Short-term Prediction of Bike-sharing Usage Considering Public Transport: A LSTM Approach. ITSC 2018: 1564-1571 - 2017
- [c3]Yangdong Liu, Yizhe Wang, Xiaoguang Yang, Linan Zhang:
Short-term travel time prediction by deep learning: A comparison of different LSTM-DNN models. ITSC 2017: 1-8 - 2016
- [c2]Yizhe Wang, Zhizhou Wu, Yangdong Liu, Xiaoguang Yang, Guishan Tan:
A two-way bandwidth maximization model for green-wave optimization control of transit priority. ITSC 2016: 1102-1107 - 2014
- [c1]Yangdong Liu, Ye Tian, Bo Yuan, Chang Wu, Weishuo Qian, Wei Mao:
Providing Useful Information for Passengers Based on TTF Model. iThings/GreenCom/CPSCom 2014: 39-44
Coauthor Index
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last updated on 2024-07-02 20:41 CEST by the dblp team
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