Global F0 control parameter prediction based on impressions for communicative prosody generation. - Lu Shao; Yoko Greenberg; Yoshinori Sagisaka (O-COCOSDA/CASLRE, 2013)

Communicative F0 generation based on impressions. - Lu Shao; Yoko Greenberg; Yoshinori Sagisaka (CogInfoCom, 2014)

Traffic condition estimation using vehicular crowdsensing data. - Lu Shao; Cheng Wang 001; Zhong Li; Changjun Jiang (IPCCC, 2015)

New tight upper bounds on the capacity for general deterministic dissemination in wireless ad hoc networks. - Cheng Wang 001; Jieren Zhou; Tianci Liu 002; Lu Shao; Huiya Yan (IPCCC, 2015)

STC: Coarse-Grained Vehicular Data Based Travel Speed Sensing by Leveraging Spatial-Temporal Correlation. - Lu Shao; Cheng Wang 001; Changjun Jiang (CoRR, 2015)

General Capacity for Deterministic Dissemination in Wireless Ad Hoc Networks. - Cheng Wang 001; Jieren Zhou; Tianci Liu 002; Lu Shao; Huiya Yan; Xiang-Yang Li 001; Changjun Jiang (CoRR, 2015)

Capacity Scaling of Wireless Social Networks. - Cheng Wang 001; Lu Shao; Zhong Li; Lei Yang 025; Xiang-Yang Li 001; Changjun Jiang (IEEE Trans. Parallel Distributed Syst., 2015)

Estimating travel speed via sparse vehicular crowdsensing data. - Cheng Wang 001; Zhenzhen Zhang; Lu Shao; MengChu Zhou (WF-IoT, 2016)

RTS: road topology-based scheme for traffic condition estimation via vehicular crowdsensing. - Lu Shao; Cheng Wang 001; Lu Liu 001; Changjun Jiang (Concurr. Comput. Pract. Exp., 2017)

Exploiting Traveling Information for Data Forwarding in Community-Characterized Vehicular Networks. - Zhong Li; Cheng Wang 001; Lu Shao; Changjun Jiang; Cheng-Xiang Wang 001 (IEEE Trans. Veh. Technol., 2017)

Estimating Travel Speed of a Road Section Through Sparse Crowdsensing Data. - Cheng Wang 001; Zhiyang Xie; Lu Shao; Zhenzhen Zhang; MengChu Zhou (IEEE Trans. Intell. Transp. Syst., 2019)

Visual feedback control of quadrotor by object detection in movies. - Lu Shao; Fusaomi Nagata; Hiroaki Ochi; Akimasa Otsuka; Takeshi Ikeda; Keigo Watanabe; Maki K. Habib (Artif. Life Robotics, 2020)