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%)
Journal
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.
