Improved indoor tracking based on generalized t-distribution noise model. - Shuo Liu 002; Le Yin; Weng Khuen Ho; Keck Voon Ling (ICARCV, 2014)

Indoor Tracking With the Generalized t-Distribution Noise Model. - Le Yin; Shuo Liu 002; Weng Khuen Ho; Keck Voon Ling (IEEE Trans. Control. Syst. Technol., 2018)

Poster: online adaptive sampling for network delay measurement via matrix completion. - Shuo Liu 002; Qiaoling Wang (Networking, 2019)

Adaptive Coherent Sampling for Network Delay Measurement. - Shuo Liu 002; Qiaoling Wang (ICC, 2020)

NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration. - Shuo Liu 002; Qiaoling Wang; Junyi Zhang 005; Qinliang Lin; Yao Liu 006; Meng Xu; Ray C. C. Cheung; Jianfei He (CoRR, 2020)

Scalable Fully Pipelined Hardware Architecture for In-Network Aggregated AllReduce Communication. - Yao Liu 006; Junyi Zhang 005; Shuo Liu 002; Qiaoling Wang; Wangchen Dai; Ray Chak-Chung Cheung (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

In-Network Aggregation with Transport Transparency for Distributed Training. - Shuo Liu 002; Qiaoling Wang; Junyi Zhang 005; Wenfei Wu; Qinliang Lin; Yao Liu 006; Meng Xu; Marco Canini; Ray C. C. Cheung; Jianfei He (ASPLOS (3), 2023)

Training Job Placement in Clusters with Statistical In-Network Aggregation. - Bohan Zhao; Wei Xu 005; Shuo Liu 002; Yang Tian; Qiaoling Wang; Wenfei Wu (ASPLOS (1), 2024)

Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference. - Songjun Huang; Yihong Li; Liangkun Chen; Xiaoxi Zhang 001; Shuo Liu 002; Jingpu Duan; Wenfei Wu; Xu Chen 004 (ICPP Workshops, 2024)

POSTER: In-network Model Inference for Distributed Systems via Programmable Switches. - Jianqiang Zhong; Yihong Li; Shuo Liu 002; Jingpu Duan; Xiaoxi Zhang 001; Xu Chen 004 (SIGCOMM (Posters and Demos), 2024)