FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures. - Haidong Lan; Jintao Meng 001; Christian Hundt 002; Bertil Schmidt; Minwen Deng; Xiaoning Wang; Weiguo Liu; Yu Qiao 001; Shengzhong Feng (IEEE Trans. Parallel Distributed Syst., 2020)

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; et al. (NeurIPS (Competition and Demos), 2021)

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 001; Minwen Deng (ICPP, 2022)

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. - Hua Wei 001; Jingxiao Chen; Xiyang Ji; Hongyang Qin; Minwen Deng; Siqin Li; Liang Wang 015; Weinan Zhang 001; Yong Yu 001; Liu Lin; Lanxiao Huang; Deheng Ye; et al. (NeurIPS, 2022)

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning. - Jintao Meng 001; Chen Zhuang; Peng Chen 035; Mohamed Wahib; Bertil Schmidt; Xiao Wang 004; Haidong Lan; Dou Wu; Minwen Deng; Yanjie Wei; Shengzhong Feng (IEEE Trans. Parallel Distributed Syst., 2022)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Yang Feng; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (NeurIPS, 2023)

Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing. - Wenkai Lv; Pengfei Yang 001; Tianyang Zheng; Bijie Yi; Yunqing Ding; Quan Wang 006; Minwen Deng (IEEE Internet Things J., 2023)

autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures. - Du Wu; Jintao Meng 001; Wenxi Zhu; Minwen Deng; Xiao Wang 004; Tao Luo 014; Mohamed Wahib; Yanjie Wei (SC, 2024)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Junfeng Yang; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (CoRR, 2024)

Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. - Yangjie Zhou 001; Honglin Zhu; Qian Qiu; Weihao Cui; Zihan Liu 002; Cong Guo 003; Siyuan Feng; Jintao Meng 001; Haidong Lan; Jingwen Leng; Wenxi Zhu; Minwen Deng (CoRR, 2024)

Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing. - Wenkai Lv; Pengfei Yang 001; Tianyang Zheng; Chengmin Lin; Zhenyi Wang; Minwen Deng; Quan Wang 006 (IEEE Internet Things J., 2024)

ParaCoder: Parallel Code Generation with Large Language Model. - Xiaowen Huang; Xu Zhang; Lvfang Tao; Renjie Mao; Nan Zhou; Wenxi Zhu; Minwen Deng; Jintao Meng 001; Yanjie Wei; Amelie Chi Zhou; Bingqiang Wang; Shengzhong Feng (FCPC@PPOPP, 2025)

NM-SpMM: Accelerating Matrix Multiplication Using N: M Sparsity with GPGPU. - Cong Ma; Du Wu; Zhelang Deng; Jiang Chen; Xiaowen Huang; Jintao Meng 001; Wenxi Zhu; Bingqiang Wang; Amelie Chi Zhou; Peng Chen 035; Minwen Deng; Yanjie Wei; et al. (IPDPS, 2025)

NM-SpMM: Accelerating Matrix Multiplication Using N:M Sparsity with GPGPU. - Cong Ma; Du Wu; Zhelang Deng; Jiang Chen; Xiaowen Huang; Jintao Meng 001; Wenxi Zhu; Bingqiang Wang; Amelie Chi Zhou; Peng Chen 035; Minwen Deng; Yanjie Wei; et al. (CoRR, 2025)

Yan: Foundational Interactive Video Generation. - Deheng Ye; Fangyun Zhou; Jiacheng Lv; Jianqi Ma; Jun Zhang; Junyan Lv; Junyou Li; Minwen Deng; Mingyu Yang; Qiang Fu; Wei Yang; Wenkai Lv; et al. (CoRR, 2025)