Minwen Deng

According to our database, Minwen Deng authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing.

Wenkai Lv, Pengfei Yang, Tianyang Zheng, Chengmin Lin, Zhenyi Wang, Minwen Deng, Quan Wang

IEEE Internet Things J., January, 2024

2023

Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing.

Wenkai Lv, Pengfei Yang, Tianyang Zheng, Bijie Yi, Yunqing Ding, Quan Wang, Minwen Deng

IEEE Internet Things J., 2023

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Liu Linc, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.

Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng

IEEE Trans. Parallel Distributed Syst., 2022

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning.

Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Lin, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Phase-Functioned Real-time Character Control in Mobile Games: A TVM Enabled Approach.

Haidong Lan, Wenxi Zhu, Du Wu, Qian Qiu, Honglin Zhu, Jingjing Zhao, Xinghui Fu, Liu Wei, Jintao Meng, Minwen Deng

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.

Nicholas Roberts, Samuel Guo, Cong Xu, Ameet Talwalkar, David Lander, Lvfang Tao, Linhang Cai, Shuaicheng Niu, Jianyu Heng, Hongyang Qin, Minwen Deng, Johannes Hog, Alexander Pfefferle, Sushil Ammanaghatta Shivakumar, Arjun Krishnakumar, Yubo Wang, Rhea Sukthanker, Frank Hutter, Euxhen Hasanaj, Tien-Dung Le, Mikhail Khodak, Yuriy Nevmyvaka, Kashif Rasul, Frederic Sala, Anderson Schneider, Junhong Shen, Evan R. Sparks

Proceedings of the NeurIPS 2022 Competition Track, 2021

2020

FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures.

Haidong Lan, Jintao Meng, Christian Hundt, Bertil Schmidt, Minwen Deng, Xiaoning Wang, Weiguo Liu, Yu Qiao, Shengzhong Feng

IEEE Trans. Parallel Distributed Syst., 2020