Minwen Deng - RankMe

17 papers A* 2A 3B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation. SC Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Peng Chen, Mohamed Wahib, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Yun Lin, Jin Song Dong, Wenxi Zhu, Minwen Deng
2025	A	`conf`	NM-SpMM: Accelerating Matrix Multiplication Using N: M Sparsity with GPGPU. IPDPS Cong Ma, Du Wu, Zhelang Deng, Jiang Chen, Xiaowen Huang, Jintao Meng, Wenxi Zhu, Bingqiang Wang, Amelie Chi Zhou, Peng Chen, Minwen Deng, Yanjie Wei, Shengzhong Feng, Yi Pan
2025	J	`jnl`	NM-SpMM: Accelerating Matrix Multiplication Using N:M Sparsity with GPGPU. CoRR Cong Ma, Du Wu, Zhelang Deng, Jiang Chen, Xiaowen Huang, Jintao Meng, Wenxi Zhu, Bingqiang Wang, Amelie Chi Zhou, Peng Chen, Minwen Deng, Yanjie Wei, Shengzhong Feng, Yi Pan
2025	—	`conf`	ParaCoder: Parallel Code Generation with Large Language Model. FCPC@PPOPP Xiaowen Huang, Xu Zhang, Lvfang Tao, Renjie Mao, Nan Zhou, Wenxi Zhu, Minwen Deng, Jintao Meng, Yanjie Wei, Amelie Chi Zhou, Bingqiang Wang, Shengzhong Feng
2025	J	`jnl`	Yan: Foundational Interactive Video Generation. CoRR Deheng Ye, Fangyun Zhou, Jiacheng Lv, Jianqi Ma, Jun Zhang, Junyan Lv, Junyou Li, Minwen Deng, Mingyu Yang, Qiang Fu, Wei Yang, Wenkai Lv, Yangbin Yu, Yewen Wang, Yonghang Guan, Zhihao Hu, Zhongbin Fang, Zhongqian Sun
2024	J	`jnl`	Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing. IEEE Internet Things J. Wenkai Lv, Pengfei Yang, Tianyang Zheng, Chengmin Lin, Zhenyi Wang, Minwen Deng, Quan Wang
2024	J	`jnl`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. CoRR Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Junfeng Yang, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Wei Yang, Guang Yang, Lanxiao Huang, Xiangyang Ji
2024	J	`jnl`	Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. CoRR Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng
2024	A	`conf`	autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures. SC Du Wu, Jintao Meng, Wenxi Zhu, Minwen Deng, Xiao Wang, Tao Luo, Mohamed Wahib, Yanjie Wei
2023	J	`jnl`	Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing. IEEE Internet Things J. Wenkai Lv, Pengfei Yang, Tianyang Zheng, Bijie Yi, Yunqing Ding, Quan Wang, Minwen Deng
2023	A*	`conf`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji
2022	J	`jnl`	Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning. IEEE Trans. Parallel Distributed Syst. Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng
2022	B	`conf`	Efficient Phase-Functioned Real-time Character Control in Mobile Games: A TVM Enabled Approach. ICPP Haidong Lan, Wenxi Zhu, Du Wu, Qian Qiu, Honglin Zhu, Jingjing Zhao, Xinghui Fu, Liu Wei, Jintao Meng, Minwen Deng
2022	A*	`conf`	Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS 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
2022	J	`jnl`	Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. CoRR Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Lin Liu, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
2021	—	`conf`	AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. NeurIPS (Competition and Demos) 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 Sanjay Sukthanker, Frank Hutter, Euxhen Hasanaj, Tien-Dung Le, Mikhail Khodak, Yuriy Nevmyvaka, Kashif Rasul, Frederic Sala, Anderson Schneider, Junhong Shen, Evan Randall Sparks
2020	J	`jnl`	FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures. IEEE Trans. Parallel Distributed Syst. Haidong Lan, Jintao Meng, Christian Hundt, Bertil Schmidt, Minwen Deng, Xiaoning Wang, Weiguo Liu, Yu Qiao, Shengzhong Feng