Quan Zhou, Haiquan Wang, Xiaoyan Yu, Cheng Li, Youhui Bai, Feng Yan, Yinlong Xu, MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism, in Proceedings of The 29th IEEE International Symposium on High-Performance Computer Architecture ( HPCA 2023), Montreal, Canada, Feb, 2023 ( Acceptance rate: 91/364=25%). Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan, DySR: Adaptive Super-Resolution via Algorithm and System Co-design, in Proceedings of The Eleventh International Conference on Learning Representations ( ICLR 2023), Kigali Rwanda, May, 2023 ( Acceptance rate: 31.8%).
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen, NASRec: Weight Sharing Neural Architecture Search for Recommender Systems, in Proceedings of the 2023 ACM Web Conference ( Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, and Yue Cheng, SION: Elastic Serverless Cloud Storage, in Proceedings of the 49th International Conference on Very Large Data Bases ( VLDB 2023), Vancouver, Canada, Aug, 2023 ( Paper acceptance rate: TBD). Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, and Feng Yan, HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework, in Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing ( CCGRID 2023), Bangalore, India, May, 2023 ( Paper acceptance rate: TBD). Top-w: workshop in top-tier publication venueĢ4 (top-cs, top-cr) papers have been published since 2016 Top-cr: top-tier Computer Science publication venue according to Conference Ranks top-cs: top-tier Computer Science publication venue according to CSRankings.
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