| 2025 | EuroPar | DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System. | Yi Luo, Yaobin Wang, Qi Wang, Yingchen Song, Huan Wu, Qingfeng Wang, Jun Huang |
| 2025 | ICCD | MH-SpGEMM: Efficient Sparse General Matrix-Matrix Multiplication on Modern GPUs via Masking and Hashing Cooperative Optimization. | Shuang Yang, Yaobin Wang, Ling Li, Qian Peng, Qiong Yu |
| 2025 | ICS | HR-SpMM: Adaptive Row Partitioning and Hybrid Kernel Design for Sparse Matrix Multiplication. | Qi Wang, Yaobin Wang, Yi Luo, Rong Luo, Pingping Tang |
| 2024 | ICPR | A Data Augmentation Approach for Well Log Interpretation. | Ziyi Zhu, Yaobin Wang, Xiaoyang Yu, Guojun Li, Guanwen Zhang, Wei Zhou |
| 2024 | ISPA | PIK-Convolution: Step Convolution Acceleration based on Multi-GPU Architecture. | Yutao Peng, Yaobin Wang, Tianhai Wang, Mei Han, Yunxin Xu, Pingping Tang |
| 2024 | ISPA | P-AES: Advanced Encryption Standard Parallel Optimization on MGPUSim. | Jiawei Qin, Yaobin Wang, Ling Li, Shuang Yang, Xiaorong Zhang |
| 2024 | ISPA | An Efficient Sampling-Based SpMM Kernel for Balancing Accuracy and Speed in GNN Inference. | Yingchen Song, Yaobin Wang, Chaoyu Xiong, Tianhai Wang, Pingping Tang |
| 2024 | ISPA | Implementation and Optimization of 88 Block Discrete Cosine Transform on MGPUSim. | Shuang Yang, Yaobin Wang, Ling Li, Jiawei Qin, Guotang Bi |
| 2023 | ICANN | The Optimization and Parallelization of Two-Dimensional Zigzag Scanning on the Matrix. | Ling Li, Yaobin Wang, Lijuan Peng, Yuming Feng, Ning Liu, Guangwei Li, Xiaolin Jia |
| 2023 | INFOCOM | Bs-SpMM:Accelerate Sparse Matrix-Matrix Multiplication by Balanced Split Strategy on the GPU. | Mingfeng Guo, Yaobin Wang, Yajun Gu, Yufang Chen, Huan Liu, Huarong Chen, Dongxuan Han, Hengyang Xu, Chunhua Deng, Pingping Tang, Qi Huang |
| 2022 | HPCC | Accelerating small matrix multiplications by adaptive batching strategy on GPU. | Yaqing Zhang, Yaobin Wang, Zhangbin Mo, Yong Zhou, Tao Sun, Guang Xu, Chaojun Xing, Liang Yang |
| 2022 | ICANN | The Parallelization and Optimization of K-means Algorithm Based on MGPUSim. | Zhangbin Mo, Yaobin Wang, Qingming Zhang, Guangbing Zhang, Mingfeng Guo, Yaqing Zhang, Chao Shen |
| 2022 | NPC | Rgs-SpMM: Accelerate Sparse Matrix-Matrix Multiplication by Row Group Splitting Strategy on the GPU. | Mingfeng Guo, Yaobin Wang, Jun Huang, Qingfeng Wang, Yaqing Zhang, Mu Xu, Fang Lu |
| 2021 | ISPA | Parallel analysis of TACLeBench kernel benchmark's loop and procedure level speculation. | Huiling Meng, Yaobin Wang, Ling Li, Manasah Musariri, Xinyi Wang |
| 2020 | ICA3PP | Procedure and Loop Level Speculative Parallelism Analysis in HPEC. | Xinyi Wang, Yaobin Wang, Ling Li, Yang Yang, Deqing Bu, Manasah Musariri |
| 2018 | ISPA | Exploring Parallelism in MiBench with Loop and Procedure Level Speculation. | Deqing Bu, Yaobin Wang, Ling Li, Zhiqin Liu, Wenxin Yu, Manasah Musariri |
| 2016 | ICPADS | Parallelizing Back Propagation Neural Network on Speculative Multicores. | Yaobin Wang, Hong An, Zhiqin Liu, Tao Liu, Dongmei Zhao |
| 2016 | TrustCom | A Flexible Chip Multiprocessor Simulator Dedicated for Thread Level Speculation. | Yaobin Wang, Hong An, Zhiqin Liu, Ling Li, Jun Huang |
| 2015 | ICA3PP | Parallelizing Block Cryptography Algorithms on Speculative Multicores. | Yaobin Wang, Hong An, Zhiqin Liu, Lei Zhang, Qingfeng Wang |
| 2015 | ICONIP | Optimization and Analysis of Parallel Back Propagation Neural Network on GPU Using CUDA. | Yaobin Wang, Pingping Tang, Hong An, Zhiqin Liu, Kun Wang, Yong Zhou |
| 2011 | CIS | Accelerating Block Cryptography Algorithms in Procedure Level Speculation. | Yaobin Wang, Hong An, Zhiqin Liu, Kang Xu, Wanli Dong |
| 2010 | ICA3PP | Dynamic Resource Tuning for Flexible Core Chip Multiprocessors. | Yongqing Ren, Hong An, Tao Sun, Ming Cong, Yaobin Wang |
| 2009 | PDCAT | The Mapping Framework and Optimizing Strategy for Block Cryptography Algorithms on Cell Broadband Engine. | Mu Xu, Hong An, Gu Liu, Yaobin Wang, Guang Xu, Ping Yao, Xiurui Hao, Wenting Han |