2022:
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CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution
Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim and Sangtae Ha
accepted in ECCV 2022 (1650 out of 5803 = 28% acceptance rate) -
zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices
Seyeon Kim, Kyungmin Bin, Sangtae Ha, Kyunghan Lee, and Song Chong
ACM GetMobile, vol. 25, no. 4, pp. 30-34, Mar. 2022 -
R-RFC: RL-based FEC Adjustment for better QoE in WebRTC
Insoo Lee, Seyeon Kim, Sandesh Sathyanarayana, Kyungmin Bin, Song Chong, Kyunghan Lee, Dirk Grunwald, and Sangtae Ha,
accepted in ACM Multimedia (MM) 2022 (690 out of 2473 = 27.9% acceptance rate) -
TVConv: Efficient Translation Variant Convolution
Jierun Chen, Tianlang He, Weipeng Zhuo, Li Ma, Sangtae Ha, and S.-H. Gary Chan,
accepted in CVPR 2022 (2067 out of 8161 = 25.33% acceptance rate) -
GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals
Weipeng Zhuo, Ziqi Zhao, Ka Ho Chiu, Shiju Li, Sangtae Ha, Chul-Ho Lee, and S.-H. Gary Chan,
accepted in IEEE ICDCS 2022 (114 out of 573 = 19.9% acceptance rate) -
MoDEMS: Optimizing Edge Computing Migrations For User Mobility
Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, and Carlee Joe-Wong,
accepted in IEEE INFOCOM 2022 (255 out of 1129 = 22.6% acceptance rate) -
Optimal Network Protocol Selection for Competing Flows via Online Learning
Xiaoxi Zhang, Siqi Chen, Yunfan Zhang, Youngbin Im, Maria Gorlatova, Sangtae Ha, and Carlee Joe-Wong,
accepted in IEEE Transactions on Mobile Computing 2022