Publications

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

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Lei Zhang, Zhisheng YE (2026). ASYRA: Automating Graph Scheduling for Communication-Computation Overlap in Efficient Model Parallelism. Preprint.

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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 arXiv.

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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 (2025). LEMUR: Large Scale End-to-End Multimodal Recommendation. arXiv.

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Chenxiang Ma, Zhisheng YE, Hanyu Zhao, Zehua Yang, Tianhao Fu, Jiaxun Han, Jie Zhang, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Yong Li, Diyu Zhou (2025). Memory Offloading for Large Language Model Inference with Latency SLO Guarantees. arXiv.

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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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