Feiwen Zhu - RankMe

12 papers A* 2B 1Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang
2024	A*	`conf`	ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. DAC Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch
2024	J	`jnl`	ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. CoRR Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch
2023	B	`conf`	FastDimeNet++: Training DimeNet++ in 22 minutes. ICPP Feiwen Zhu, Michal Futrega, Han Bao, Sukru Burc Eryilmaz, Fei Kong, Kefeng Duan, Xinnian Zheng, Nimrod Angel, Matthias Jouanneaux, Maximilian Stadler, Michal Marcinkiewicz, Fung Xie, June Yang, Michael Andersch
2023	—	`conf`	HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. MLSys Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang
2022	A*	`conf`	AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures. ASPLOS Zhen Zheng, Xuanda Yang, Pengzhan Zhao, Guoping Long, Kai Zhu, Feiwen Zhu, Wenyi Zhao, Xiaoyong Liu, Jun Yang, Jidong Zhai, Shuaiwen Leon Song, Wei Lin
2021	J	`jnl`	Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data. CoRR Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang
2020	J	`jnl`	FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. CoRR Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin
2018	—	`conf`	Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. ICLR (Poster) Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie
2018	J	`jnl`	Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. CoRR Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie
2012	—	`conf`	A GPU-based high-throughput image retrieval algorithm. GPGPU@ASPLOS Feiwen Zhu, Peng Chen, Donglei Yang, Weihua Zhang, Haibo Chen, Binyu Zang
2011	—	`conf`	A Parallel Analysis on Scale Invariant Feature Transform (SIFT) Algorithm. APPT Donglei Yang, Lili Liu, Feiwen Zhu, Weihua Zhang