Jianbin Fang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
18
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICS | GRASP: Optimizing VLIW Instruction Scheduling via Graph Reinforcement Learning. | Zixu Wang, Weiyuan Tong, Jianbin Fang, Yao Zhang, Wei Wang, Jie Ren, Zhanyong Tang |
| 2025 | DAC | Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel. | Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Shengguo Li, Liang Deng, Jian Zhang, Zhe Dai, Yue Ding, Yue Wang, Zhimeng Han, Yonggang Che, Jie Liu |
| 2025 | HiPC | Selection of Supervised Learning-Based Sparse Matrix Reordering Algorithms. | Tao Tang, Youfu Jiang, Yingbo Cui, Jianbin Fang, Peng Zhang, Lin Peng, Chun Huang |
| 2025 | ICPP | Optimizing Direct Convolutions on High-Performance Multi-Core DSPs. | Pengyu Wang, Xiaotian Chen, Jianbin Fang, Peng Zhang, Yonggang Che, Chun Huang, Jie Ren |
| 2025 | SC | Constraint-Driven Auto-Tuning of GEMM-like Operators for MT-3000 Many-core Processor. | Xinxin Qi, Jianbin Fang, Peng Zhang, Yonggang Che, Jie Ren |
| 2024 | ICPP | Optimizing SpMV on Heterogeneous Multi-Core DSPs through Improved Locality and Vectorization. | Deshun Bi, Shengguo Li, Dezun Dong, Peng Zhang, Jianbin Fang |
| 2024 | ICPP | Optimizing Stencil Computation on Multi-core DSPs. | Fugeng Zhu, Xinxin Qi, Peng Zhang, Jianbin Fang, Tao Tang, Yonggang Che, Kainan Yu, Jing Xie, Chun Huang, Jie Ren |
| 2024 | PPoPP | GraphCube: Interconnection Hierarchy-aware Graph Processing. | Xinbiao Gan, Guang Wu, Shenghao Qiu, Feng Xiong, Jiaqi Si, Jianbin Fang, Dezun Dong, Chunye Gong, Tiejun Li, Zheng Wang |
| 2024 | PPoPP | Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores. | Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Liang Deng, Jian Zhang, Qingsong Wang, Yue Ding, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu |
| 2024 | SC | A Conflict-aware Divide-and-Conquer Algorithm for Symmetric Sparse Matrix-Vector Multiplication. | Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Jian Zhang, Liang Deng, Yue Ding, Qingsong Wang, Shizhao Chen, Yonggang Che, Jie Liu |
| 2024 | SEKE | Enhancing Compiler Optimization with Reinforcement Learning and Monte Carlo Tree Search. | Jianfeng Liu, Jingxiang Ren, Jing Xie, Jianbin Fang, Ting Wang |
| 2023 | CLUSTER | Optimizing HPC I/O Performance with Regression Analysis and Ensemble Learning. | Zhangyu Liu, Cheng Zhang, Huijun Wu, Jianbin Fang, Lin Peng, Guixin Ye, Zhanyong Tang |
| 2023 | SC | Optimizing MPI Collectives on Shared Memory Multi-Cores. | Jintao Peng, Jianbin Fang, Jie Liu, Min Xie, Yi Dai, Bo Yang, Shengguo Li, Zheng Wang |
| 2023 | SC | Optimizing Direct Convolutions on ARM Multi-Cores. | Pengyu Wang, Weiling Yang, Jianbin Fang, Dezun Dong, Chun Huang, Peng Zhang, Tao Tang, Zheng Wang |
| 2022 | ICA3PP | PipeFB: An Optimized Pipeline Parallelism Scheme to Reduce the Peak Memory Usage. | Wei Jiang, Bo Wang, Sheng Ma, Xiang Hou, Libo Huang, Yi Dai, Jianbin Fang |
| 2021 | CLUSTER | Optimizing Barrier Synchronization on ARMv8 Many-Core Architectures. | Wanrong Gao, Jianbin Fang, Chun Huang, Chuanfu Xu, Zheng Wang |
| 2021 | HPCC | Characterizing OpenMP Synchronization Implementations on ARMv8 Multi-Cores. | Pengyu Wang, Wanrong Gao, Jianbin Fang, Chun Huang, Zheng Wang |
| 2021 | SC | LIBSHALOM: optimizing small and irregular-shaped matrix multiplications on ARMv8 multi-cores. | Weiling Yang, Jianbin Fang, Dezun Dong, Xing Su, Zheng Wang |
| 2020 | ICTAI | FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions. | Donglin Chen, Xiang Gao, Chuanfu Xu, Shizhao Chen, Jianbin Fang, Zhenghua Wang, Zheng Wang |
| 2020 | NPC | NUMA-Aware Optimization of Sparse Matrix-Vector Multiplication on ARMv8-Based Many-Core Architectures. | Xiaosong Yu, Huihui Ma, Zhengyu Qu, Jianbin Fang, Weifeng Liu |
| 2019 | HPCC | Auto-Tuning MPI Collective Operations on Large-Scale Parallel Systems. | Wenxu Zheng, Jianbin Fang, Chen Juan, Feihao Wu, Xiaodong Pan, Hao Wang, Xiaole Sun, Yuan Yuan, Min Xie, Chun Huang, Tao Tang, Zheng Wang |
| 2018 | CoNEXT | Proteus: network-aware web browsing on heterogeneous mobile systems. | Jie Ren, Xiaoming Wang, Jianbin Fang, Yansong Feng, Dongxiao Zhu, Zhunchen Luo, Jie Zheng, Zheng Wang |
| 2018 | HPCC | Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures. | Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu, Zheng Wang |
| 2018 | ISPA | To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. | Qing Qin, Jie Ren, Jialong Yu, Hai Wang, Ling Gao, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang |
| 2017 | ISPA | Implementing and Evaluating OpenCL on an ARMv8 Multi-Core CPU. | Jianbin Fang, Peng Zhang, Tao Tang, Chun Huang, Canqun Yang |
| 2017 | PPoPP | High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs. | Pingfan Li, Xuhao Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang |
| 2016 | ICPADS | An Energy-Efficient Implementation of LU Factorization on Heterogeneous Systems. | Canqun Yang, Cheng Chen, Tao Tang, Xuhao Chen, Jianbin Fang, Jingling Xue |
| 2016 | ISPDC | Evaluating Multi-core and Many-Core Architectures through Accelerating an Alternating Direction Implicit CFD Solver. | Liang Deng, Jianbin Fang, Fang Wang, Hanli Bai |
| 2016 | NPC | Streaming Applications on Heterogeneous Platforms. | Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Canqun Yang |
| 2014 | ICPP | Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels. | Jianbin Fang, Henk J. Sips, Pekka Jskelinen, Ana Lucia Varbanescu |
| 2013 | CCGRID | Sesame: A User-Transparent Optimizing Framework for Many-Core Processors. | Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips |
| 2013 | PDP | ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels. | Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips |
| 2013 | PDP | Performance Traps in OpenCL for CPUs. | Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu |
| 2012 | ICPADS | Accelerating Cost Aggregation for Real-Time Stereo Matching. | Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten |
| 2011 | ICPP | A Comprehensive Performance Comparison of CUDA and OpenCL. | Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips |