DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse
Published in HPDC, *CCF-A*, 2026-07
Yuyang Chen, Runxin Zhong, Zan Zong, Hengjie Li, Yuyang Jin, Jidong Zhai
Publications
UltraAttn: Efficiently Parallelizing Attention through Hierarchical Context-Tiling
Published in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), *CCF-A*, 2025-11
Haoyu Yang, Zan Zong, Yuyang Jin, Kinman Lei, Jiaao He, Qigang Yang, Jidong Zhai
TraceFlow: Efficient Trace Analysis for Large-Scale Parallel Applications via Interaction Pattern-Aware Trace Distribution
Published in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), *CCF-A*, 2025-11
Yuyang Jin, Xirui Shui, Mingshu Zhai, Zan Zong, Feng Zhang, Felix Wolf, Jidong Zhai
Accelerating Distributed Training of Large Concurrent-Branch Models through Bidirectional Pipeline Coordination
Published in Tsinghua Science and Technology, *中科院2区*, 2025-07
Zan Zong, Yuyang Chen, Qi Zhang, Daming Zhao, Jianjiang Li, Yijun Jing, Jidong Zhai
Multi-view Trace Clustering Based on Graph Convolutional Networks in Process Mining
Published in IEEE Transactions on Services Computing (TSC), *CCF-A*, 2025-06
Leilei Lin, Yunuo Cao, Wenlong Chen, Zan Zong, Chen Qian, Lijie Wen
大规模异构一致性融合计算系统的性能建模与优化
Published in 计算机研究与发展, *CCF-A*, 2025-06
李仁刚, 唐轶男, 郭振华, 王丽, 宗瓒, 杨广文
Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks
Published in IEEE Big Data Mining and Analytics, *中科院1区*, 2025-03
Zan Zong, Minkun Guo, Mingshu Zhai, Yinan Tang, Jianjiang Li, Jidong Zhai
SmartMoE: Efficiently Training Sparsely-Activated Models through Combining Offline and Online Parallelization
Published in USENIX Annual Technical Conference (ATC), *CCF-A*, 2023-06
Mingshu Zhai, Jiaao He, Zixuan Ma, Zan Zong, Runqing Zhang, Jidong Zhai
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training
Published in IEEE Transactions on Parallel and Distributed Systems (TPDS), *CCF-A*, 2023-04
Zan Zong, Li Lin, Leilei Lin, Lijie Wen, Yu Sun
A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models
Published in IEEE International Parallel and Distributed Processing Symposium (IPDPS), *CCF-B*, 2022-05
Lijie Wen, Zan Zong*, Li Lin, Leilei Lin
MM-CPRED: A Multi-Task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses
Published in International Conference on Database Systems for Advanced Applications (DASFAA), *CCF-B*, 2021-04
Li Lin, Zan Zong, Lijie Wen, Chen Qian, Shuang Li, Jianmin Wang
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs
Published in IEEE Transactions on Services Computing (TSC), *CCF-A*, 2021-03
Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin
Scaleplus: Towards Fast Scaling of Distributed Streaming Dataflows
Published in IEEE Intl Conf on Parallel & Distributed Processing with Applications, **CCF-C**, 2020-12
Zan Zong, Lijie Wen, Xiao Liu, Li Lin, Chen Qian, Leilei Lin
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers
Published in IEEE Transactions on Parallel and Distributed Systems (TPDS), *CCF-A*, 2019-06
Rui Han, Chi Harold Liu, Zan Zong, Lydia Y Chen, Wending Liu, Siyi Wang, Jianfeng Zhan
Adaptiveconfig: Runtime Configuration of Cluster Schedulers for Cloud Short-Running Jobs
Published in IEEE International Conference on Distributed Computing Systems (ICDCS), *CCF-B*, 2018-07
Rui Han, Zan Zong, Lydia Y Chen, Siyi Wang, Jianfeng Zhan
Cloudmix: Generating Diverse and Reducible Workloads for Cloud Systems
Published in IEEE International Conference on Cloud Computing, *CCF-C*, 2017-06
Rui Han, Zan Zong, Fan Zhang, Jose Luis Vazquez-Poletti, Zhen Jia, Lei Wang