Shaoduo Gan - RankMe

25 papers A* 3A 1B 1C 2Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms. CoRR Jie Xiao, Changyuan Fan, Qingnan Ren, Alfred Long, Yuchen Zhang, Rymon Yu, Eric Yang, Lynn Ai, Shaoduo Gan
2025	A*	`conf`	SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget. ICLR Zihao Wang, Bin Cui, Shaoduo Gan
2024	J	`jnl`	A systematic evaluation of machine learning on serverless infrastructure. VLDB J. Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
2024	J	`jnl`	SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget. CoRR Zihao Wang, Shaoduo Gan
2024	J	`jnl`	Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. VLDB J. Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2022	J	`jnl`	FRuDA: Framework for Distributed Adversarial Domain Adaptation. IEEE Trans. Parallel Distributed Syst. Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2022	B	`conf`	Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes. COLING Bin Ji, Shasha Li, Shaoduo Gan, Jie Yu, Jun Ma, Huijun Liu, Jing Yang
2022	J	`jnl`	Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes. CoRR Bin Ji, Shasha Li, Shaoduo Gan, Jie Yu, Jun Ma, Huijun Liu
2022	—	`conf`	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2022	J	`jnl`	Stochastic Gradient Descent without Full Data Shuffle. CoRR Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2021	A*	`conf`	1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. ICML Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
2021	J	`jnl`	1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. CoRR Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
2021	—	`—`	A System Study of Communication-Efficient Distributed Machine Learning. Shaoduo Gan
2021	J	`jnl`	BAGUA: Scaling up Distributed Learning with System Relaxations. CoRR Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang
2021	J	`jnl`	BAGUA: Scaling up Distributed Learning with System Relaxations. Proc. VLDB Endow. Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang
2021	A	`conf`	Ease.ML: A Lifecycle Management System for Machine Learning. CIDR Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
2021	J	`jnl`	FRuDA: Framework for Distributed Adversarial Domain Adaptation. CoRR Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2021	—	`conf`	Towards Demystifying Serverless Machine Learning Training. SIGMOD Conference Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
2021	J	`jnl`	Towards Demystifying Serverless Machine Learning Training. CoRR Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
2020	J	`jnl`	APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. CoRR Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang
2018	A*	`conf`	Communication Compression for Decentralized Training. NeurIPS Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu
2018	J	`jnl`	Decentralization Meets Quantization. CoRR Hanlin Tang, Ce Zhang, Shaoduo Gan, Tong Zhang, Ji Liu
2016	C	`conf`	A novel optimization scheme for caching in locality-aware P2P networks. ISCC Shaoduo Gan, Jiexin Zhang, Jie Yu, Xiaoling Li, Jun Ma, Lei Luo, Qingbo Wu
2016	—	`conf`	ERPC: An Edge-Resources Based Framework to Reduce Bandwidth Cost in the Personal Cloud. WAIM (2) Shaoduo Gan, Jie Yu, Xiaoling Li, Jun Ma, Lei Luo, Qingbo Wu, Shasha Li
2016	C	`conf`	Intrusion detection in SCADA systems by traffic periodicity and telemetry analysis. ISCC Jiexin Zhang, Shaoduo Gan, Xiaoxue Liu, Peidong Zhu