Zhen Zhang - RankMe

17 papers A* 3Misc 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	ScaleFusion: Scalable Inference of Spatial-Temporal Diffusion Transformers for High-Resolution Long Video Generation. MLSys Jiacheng Yang, Jun Wu, Zhen Zhang, Xinwei Fu, Zhiying Xu, Zhen Jia, Yida Wang, Gennady Pekhimenko
2025	J	`jnl`	Verifying Computational Graphs in Production-Grade Distributed Machine Learning Frameworks. CoRR Kahfi S. Zulkifli, Wenbo Qian, Shaowei Zhu, Yuan Zhou, Zhen Zhang, Chang Lou
2025	—	`conf`	Verifying Semantic Equivalence of Large Models with Equality Saturation. EuroMLSys Kahfi S. Zulkifli, Wenbo Qian, Shaowei Zhu, Yuan Zhou, Zhen Zhang, Chang Lou
2024	Misc	`conf`	DISTMM: Accelerating Distributed Multimodal Model Training. NSDI Jun Huang, Zhen Zhang, Shuai Zheng, Feng Qin, Yida Wang
2024	J	`jnl`	DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. IEEE/ACM Trans. Netw. Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu
2024	—	`conf`	Distributed Training of Large Language Models on AWS Trainium. SoCC Xinwei Fu, Zhen Zhang, Haozheng Fan, Guangtai Huang, Mohammad El-Shabani, Randy Huang, Rahul Solanki, Fei Wu, Ron Diamant, Yida Wang
2024	J	`jnl`	SDCC: software-defined collective communication for distributed training. Sci. China Inf. Sci. Xin Jin, Zhen Zhang, Yunshan Jia, Yun Ma, Xuanzhe Liu
2024	—	`conf`	Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training. ASPLOS (2) Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
2023	J	`jnl`	Decoupled Model Schedule for Deep Learning Training. CoRR Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
2023	A*	`conf`	GEMINI: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints. SOSP Zhuang Wang, Zhen Jia, Shuai Zheng, Zhen Zhang, Xinwei Fu, T. S. Eugene Ng, Yida Wang
2023	A*	`conf`	Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. SOSP Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury
2023	J	`jnl`	Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. CoRR Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury
2022	J	`jnl`	MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. CoRR Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
2022	J	`jnl`	MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. Proc. VLDB Endow. Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
2020	—	`conf`	Is Network the Bottleneck of Distributed Training? NetAI@SIGCOMM Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
2020	J	`jnl`	Is Network the Bottleneck of Distributed Training? CoRR Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
2020	A*	`conf`	PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications. OSDI Zhihao Bai, Zhen Zhang, Yibo Zhu, Xin Jin