Publications
- Rubayet Rongon and Xuechen Zhang. “iAUG: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training”. In Proceedings of the 31st International European Conference on Parallel and Distributed Computing (EURO-PAR’25), Dresden, Germany, August 2025. (Acceptance Rate: 29%)
- Weijian Chen, Shuibing He, Haoyang Ou, and Xuechen Zhang. “LeapGNN: Accelerating Distributed GNN Training Leveraging Feature-Centric Model Migration”. In the 23rd USENIX Conference on File and Storage Technologies (FAST ’25), Santa Clara, CA, February 2025. (Acceptance Rate: 21.5%)
- Siling Yang, Shuibing He, Wenjiong Wang, Yanlong Yin, Tong Wu, Weijian Chen, Xuechen Zhang, Xina-He Sun, and Dan Feng, “GOPIM: GCN-Oriented Pipeline Optimization for PIM Accelerators”. In The 31st IEEE International Symposium on High-Performance Computer Architecture (HPCA-31), Las Vegas, NV, March 2025. (Acceptance Rate: 21%)
- Rubayet Rongon, Chen Cao, and Xuechen Zhang, “A Study of Data-Path Bugs in PyTorch with a Focus on Memory Management”. In Proceedings of the 2024 IEEE International Conference on Big Data (BigData’24), Washington DC, December 2024. (Acceptance Rate: 18.8%)
- Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Yanlong Yin, Rui Wang, Lidan Shou, Mingli Song, Xian- He Sun, and Gang Chen. Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC’24), Atlanta, GA, November 2024. (Acceptance Rate: 22.7%)
- Dang Zheng, Shuibing He, Xuechen Zhang, Peiyi Hong, Zhenxin Li, Xinyu Chen, Haozhe Song, Xian-He Sun, and Gang Chen, “PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation”. ACM Transactions on Computer Systems (TOCS), 2024.
- Siling Yang, Shuibing He, Hexiao Duan, Weijian Chen, Xuechen Zhang, Tong Wu, and Yanlong Yin, “APQ: Automated DNN Pruning and Quantization for ReRAM-based Accelerators”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 34, no. 9, Sep. 2023.
- Ping Chen, Shuibing He, Xuechen Zhang, Shuaiben Chen, Peiyi Hong, Yanlong Yin, and Xian-He Sun, “Accelerating Tensor Swapping in GPUs with Self-Tuning Compression”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 33, issue 12, December 2022.
- Soklong Lim, Tyler Coy, Zaixin Lu, Bin Ren, and Xuechen Zhang, “NVGRAPH: Enforcing Crash Consistency of Evolving Network Analytics in NVMM Systems”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 31, no. 6, June 2020.
- Shuibing He, Yanlong Yin, Xian-He Sun, Xuechen Zhang, Zongpeng Li, “Optimizing Parallel I/O Accesses through Pattern-Directed and Layout-Aware Replication”. IEEE Transactions on Computers (TC), vol. 69, no. 2, February 2020.