Jingke Wang

According to our database, Jingke Wang authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PIPECIM: Energy-Efficient Pipelined Computing-in-Memory Computation Engine With Sparsity-Aware Technique.

Yuanbo Wang, Liang Chang, Jingke Wang, Pan Zhao, Jiahao Zeng, Xin Zhao, Wuyang Hao, Liang Zhou, Haining Tan, Yinhe Han, Jun Zhou

IEEE Trans. Very Large Scale Integr. Syst., February, 2025

2024

Edge-Optimized AI Architecture: MRAM-based Near Memory Computing Core Balancing between Memory Capacity and Computation.

Xi Yang, Liang Chang, Yuanbo Wang, Jingke Wang, Chao Fan, Zhongmou Wu, Jun Zhou

Proceedings of the IEEE International Conference on Integrated Circuits, 2024

2023

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.

Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu

CoRR, 2023

2022

LTP: Lane-based Trajectory Prediction for Autonomous Driving.

Jingke Wang, Tengju Ye, Ziqing Gu, Junbo Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory.

Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yuehua Li, Yue Wang, Rong Xiong

IEEE Robotics Autom. Lett., 2021

KB-Tree: Learnable and Continuous Monte-Carlo Tree Search for Autonomous Driving Planning.

Lanxin Lei, Ruiming Luo, Renjie Zheng, Jingke Wang, Jianwei Zhang, Cong Qiu, Liulong Ma, Liyang Jin, Ping Zhang, Junbo Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory.

Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yue Wang, Rong Xiong

CoRR, 2020

Learning hierarchical behavior and motion planning for autonomous driving.

Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Learning an Efficient and Safe Policy for Highway Driving using Supervised Learning and Reinforcement Learning.

Jingke Wang, Tong Yang, Li Tang, Yue Wang, Rong Xiong

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019