Publications

Jihu Guo, Tenghui Ma, Wei Gao, Peng Sun, Xun Chen, Jiaxing Li, Zhisheng YE, Yuyang Jin, Dahua Lin (2026). OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling. In SC.

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Meng Zhang, Zhisheng YE, Qiyu Liu, Jingshu Peng, Tianwei Zhang (2026). UniTG: A Unified System for Efficient and Seamless Textual Graph Learning. In VLDB.

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Xintian Han, Honggang Chen, Quan Lin, Jingyue Gao, Xiangyuan Ren, Lifei Zhu, Zhisheng YE, Shikang Wu, XiongHang Xie, Xiaochu Gan, Bingzheng Wei, Peng Xu, Zhe Wang, Yuchao Zheng, Jingjian Lin, Di Wu, Junfeng Ge (2026). LEMUR: Large Scale End-to-End Multimodal Recommendation. In CIKM (to appear).

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Jihu Guo, Sitian Lu, Tenghui Ma, Wei Gao, Zhisheng YE, Xingcheng Zhang, Dahua Lin (2026). SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation. arXiv.

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Qiaoling Chen, Zhisheng YE, Tian Tang, Peng Sun, Boyu Tian, Guoteng Wang, Shenggui Li, Yonggang Wen, Zhenhua Han, Tianwei Zhang (2026). CONCUR: High-Throughput Agentic Batch Inference of LLM via Congestion-Based Concurrency Control. In ICML.

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Zehua Yang, Xiao Zheng, Yonghao Zou, Junyang Zhang, Zhisheng YE, Feng Xie, Xiaolin Wang, Yingwei Luo, Zhenlin Wang, Diyu Zhou (2026). FlowGPU: Transparent and Efficient GPU Checkpointing and Restore. In Euro-Par.

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Chenxiang Ma, Hanyu Zhao, Zhisheng YE, Zehua Yang, Tianhao Fu, Jiaxun Han, Jie Zhang, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Yong Li, Diyu Zhou (2026). Latency-SLO-Aware Memory Offloading for Large Language Model Inference. ICS.

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Tenghui Ma, Jihu Guo, Wei Gao, Sitian Lu, Zhisheng YE, Dahua Lin, Hanjing Wang (2026). ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism. In HPDC.

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Qinghao Hu, Zhisheng YE, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang (2024). Characterization of Large Language Model Development in the Datacenter. In NSDI.

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Wei Gao, Zhisheng YE, Peng Sun, Tianwei Zhang, Yonggang Wen (2024). UniSched: A Unified Scheduler for Deep Learning Training Jobs with Different User Demands. In ToC.

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Zhisheng YE, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen (2023). Deep Learning Workload Scheduling in GPU Datacenters: A Survey. In CSUR.

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Qiaoling Chen, Qinghao Hu, Zhisheng YE, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang (2023). AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. arXiv.

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Qinghao Hu, Zhisheng YE, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang (2023). Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. In OSDI.

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Zehua Yang, Zhisheng YE, Tianhao Fu, Jing Luo, Xiong Wei, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Tianwei Zhang (2022). Tear Up the Bubble Boom: Lessons Learned From a Deep Learning Research and Development Cluster. In ICCD.

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Zhisheng YE, Peng Sun, Wei Gao, Tianwei Zhang, Xiaolin Wang, Shengen Yan, Yingwei Luo (2021). ASTRAEA: A Fair Deep Learning Scheduler for Multi-tenant GPU Clusters. In TPDS.

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Wei Gao, Zhisheng YE, Peng Sun, Yonggang Wen, Tianwei Zhang (2021). Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs. In SoCC.

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