ADDA: Adaptive Distributed DNN Inference Acceleration in Edge Computing Environment. - Huitian Wang; Guangxing Cai; Zhaowu Huang; Fang Dong 001 (ICPADS, 2019)

Accelerating Multi-Object Tracking in Edge Computing Environment with Time-Spatial Optimization. - Mengyang Liu; Anran Tang; Huitian Wang; Lin Shen; Yun-Han Chang; Guangxing Cai; Daheng Yin; Fang Dong 001; Wei Zhao 023 (CBD, 2021)

Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild. - Zhaowu Huang; Fang Dong 001; Dian Shen; Junxue Zhang 001; Huitian Wang; Guangxing Cai; Qiang He 001 (ICDCS, 2021)

Dynamic Path Based DNN Synergistic Inference Acceleration in Edge Computing Environment. - Meng Zhou; Bowen Zhou; Huitian Wang; Fang Dong 001; Wei Zhao 023 (ICPADS, 2021)

Enabling Latency-Sensitive DNN Inference via Joint Optimization of Model Surgery and Resource Allocation in Heterogeneous Edge. - Zhaowu Huang; Fang Dong 001; Dian Shen; Huitian Wang; Xiaolin Guo; Shucun Fu (ICPP, 2022)

Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence. - Fang Dong 001; Huitian Wang; Dian Shen; Zhaowu Huang; Qiang He 001; Jinghui Zhang; Liangsheng Wen; Tingting Zhang (IEEE Trans. Mob. Comput., 2023)