Sicong Liu

I'm currently an associate professor in the School of Computer Science at Northwestern Polytechnical University (NPU). Before joining NPU, I received my Ph.D. degree from Xidian University, China, in 2020. And I had an experience as a joint PhD student at Rice University.

Research:

I care about the knowledge discoveries towards building ubiquitous deep learning system for benefiting common users and reducing the workload of developers.
  • Efficient Deep Learning for Mobile, Embedded, and AIoT Systems.
  • Automated Framework for Mobile and Embedded Deep Learning.
  • Crowd Intelligence for Human-Machine-IoT.
  • Deep Learning Algorithm and Mobile System Co-design.

System Platform:

Selected Publications, (Full List)

Book:

Crowd Intelligence with the Fusion of Human, Machine, Things

Bin Guo, Sicong Liu, Zhiwen Yu

China Machine Press 机械工业出版社 2022, Excellent Author Award

[Chapter slides download] [Introduction]

Conference:

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices

Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haocheng Shen, Zhiwen Yu

ACM UbiComp (IMWUT) 2023, CCF-A

[paper]

Context-Adaptive Online Reinforcement Learning for Multi-view Video Summarization on Mobile Devices

Jingyi Hao, Sicong Liu, Bin Guo, Yasan Ding, Zhiwen Yu

IEEE ICPADS 2022, CCF-C

Weather-Oriented Domain Generalization of Semantic Segmentation for Autonomous Driving

Cheng Fang, Bin Guo, Sicong Liu, Ke Ma, Zhiwen Yu

IEEE UIC 2022, CCF-C

AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications

Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du

ACM UbiComp (IMWUT) 2021, CCF-A

[paper]

Context-aware Adaptive Surgery: A fast and effective framework for adaptative model partition

Hongli Wang, Bin Guo, Jiaqi Liu, Sicong Liu, Yungang Wu, Zhiwen Yu

ACM UbiComp (IMWUT) 2021, CCF-A

[paper] [video]

Privacy Adversarial Network: Representation Learning for Mobile Data Privacy

Sicong Liu, Junzhao Du, Anshumali Shrivastava, Lin Zhong

ACM UbiComp (IMWUT) 2019, CCF-A

[paper] [video]

On-demand deep model compression for mobile devices: A usage-driven model selection framework

Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du

ACM MobiSys 2018, CCF-B

[paper] [video]

Ubiear: Bringing location-independent sound awareness to the hard-of-hearing people with smartphones

Sicong Liu, Zimu Zhou, Junzhao Du, Longfei Shangguan, Jun Han, Xin Wang

ACM UbiComp (IMWUT) 2017, Distinguished Paper Award, CCF-A

[paper]

MobiEar: Building an Environment-independent Acoustic Sensing Platform for the Deaf using Deep Learning

Sicong Liu, Junzhao Du

ACM MobiSys 2016, CCF-B

CrowdBlueNet: maximizing crowd data collection using bluetooth ad hoc networks

Sicong Liu, Junzhao Du, Xue yang, Rui Li, Hui Liu, Kewei Sha

WASA 2016, CCF-C

[paper]

Air pollution source estimation profiling via mobile sensor networks

Xue Yang, Junzhao Du, Sicong Liu, Rui Li, Hui Liu

IEEE CITS 20166,

[paper]

Lightweight Construction of the Information Potential Field in Wireless Sensor Networks

Junzhao Du, Sicong Liu, Chi Xu, Kai Wang, Hui Liu, Kewei Sha

ICCCN 2014, CCF-C

[paper]

Journal:

CAQ: Towards Context-aware and Self-adaptive Deep Model Computation for AIoT Applications

Sicong Liu, Yungang Wu, Bin Guo, Yuzhang Wang, Ke Ma, Liyao Xiang, Zhetao Li, Zhiwen Yu

IEEE Journal of Internet of Things 2022, IF: 9.515

[paper]

CrowdHMT: Crowd Intelligence with the Deep Fusion of Human, Machine, and IoT

Bin Guo, Yan Liu, Sicong Liu, Zhiwen Yu, Xingshe Zhou

IEEE Journal of Internet of Things 2022, IF: 9.515

[paper]

CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design

Bin Guo, Jiaqi Liu, Sicong Liu, Jiayao Wang, Mengyuan Li, Chen Wang, Zhiwen Yu

IEEE Journal of Internet of Things 2022, IF: 9.515

[paper]

Investigation of the Determinants for Misinformation Correction Effectiveness on Social Media during COVID-19 pandemic

Yuqi Zhang, Bin Guo, Yasan Ding, Jiaqi Liu, Chen Qiu, Sicong Liu, Zhiwen Yu

Information Processing and Management 2022, IF: 6.222

[paper]

Towards information-rich, logical dialogue systems with knowledge-enhanced neural models

Hao Wang, Bin Guo, Wei Wu, Sicong Liu, Zhiwen Yu

NeuroComputing 2022, IF: 4.438

[paper]

CrowdDesigner: Information-rich and Personalized Product Description Generation

Qiuyun Zhang, Bin Guo, Sicong Liu, Jiaqi Liu, Zhiwen Yu

Frontiers of Computer Science 2021, IF: 2.061

[paper]

AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles

Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Atlas Wang, Yingyan Lin

IEEE Transactions on Mobile Computing 2020, CCF-A

[paper]

Deep model compression for mobile platforms: A survey

Kaiming Nan, Sicong Liu, Junzhao Du, Hui Liu

Tsinghua Science and Technology 2019, IF: 1.176

[paper]

Energy-efficient algorithm to construct the information potential field in WSNs

Sicong Liu, Junzhao Du, Hui Liu, Rui Li, Xue Yang, Kewei Sha

IEEE sensor journal 2017, IF: 3.365

[paper]

SmartCare: Energy-efficient long-term physical activity tracking using smartphones

Hui Liu, Rui Li, Sicong Liu, Shibian Tian, Junzhao Du

Tsinghua Science and Technology 2016, IF: 1.176

[paper]

Chinese Journal 中文期刊:

群智涌现机理驱动的制造业智慧空间构建

郭斌,刘佳琪, 刘思聪, 於志文

中国计算机学会通讯 2021

[ppt]

深度学习模型终端环境自适应方法研究

郭斌, 仵允港,王虹力,王豪,刘思聪,刘佳琪,於志文,周兴社

中国科学:信息科学 2020,CCF-A

Recent Events:

  • I given a talk entitled "Edge context-adaptive deep model deployment and evolvement" at Nanjing University, November 2022.
  • I given a Tutorial on mobile ML and chaired the Mobile ML session in ACM MobiSys Conference 2021. [video]
  • I given a talk entitled "The Beauty of Context-Adaptive Deep Computing" at CCF Computing Beauty Conference, July 2021.
  • I given a talk entitled "Mobile Context-adaptive Deep Model Compression" at Computational Vision Summer School, Qingdao, July 2021.
  • I given a talk entitled "Embedded and Mobile Deep Learning Design" to Google Tensorflow Lite team, Alibaba (Silicon Valley, hosted by Dr. Zhenyu Gu and Prof. Xie Yuan), US, August 2018.
  • I visited Duke Univ. (hosted by Prof. Yiran Chen and Prof. Hai Li), and University of Chicago (hosted by Prof. Heather Zheng), US, August 2018.

Professional Activities:

Progran Committee Chair/Member:

  • Program Vice-Chair, IEEE Metaverse 2023
  • TPC Member, ACM MobiSys 2023, 2021, CCF-B
  • TPC Member, IEEE ICUS 2022
  • TPC Member, EAI MobiQuitous 2022

Conference Session Chair:

  • ACM UbiComp 2021, CCF-A
  • ACM MobiSys 2021, CCF-B

Journal Editor:

Reviewer:

  • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), CCF-A
  • The ACM Conference on Human Factors in Computing Systems (CHI), CCF-A
  • IEEE Transactions on Mobile Computing (TMC), CCF-A
  • IEEE Journal of Internet of Things, JCR-1

Selected Awards and Honors:

  • I was Selected into the Future Female Scientist Program of the China Association for Science and Technology, July, 2022.
  • I Won the Spark Award for publishing world problems from Huawei, August, 2022.
  • I Won the 2021 ACM China Council SIGBED Chapter DOCTORAL DISSERTATION AWARD, June, 2021.
  • I won the 2020 ACM Xi'an Chapter DOCTORAL DISSERTATION AWARD, May 2020.
  • Our work received the First Prize of Science and Technology Award of Shaanxi Colleges and Institutions, March 2019.
  • Our work received the ACM Ubicomp (CCF-A) Distinguished Paper Award, October 2018.
  • I Won the Networking Networking Women (N2 Women) Fellowship and moderated an N2 Women Panel at MobiSys, May 2018.
  • I Won the MobiSys Student Scholarship, May 2016.
  • I Won the Silver Award in Tencent QRobot development and application contest with the "Magic Tone" Android project, January 2015.

Supervision/Co-supervision:

PhD students:

  • Ke Ma 马可, (B.E. NPU, co-supervised with Prof. Bin Guo), ACM UbiComp 2021 (CCF-A), 国家发明专利2项, 2021.09-
  • Ziqi Wang 王梓琪, (M.E. NPU, co-supervised with Prof. Bin Guo), 2021.09-
  • Lehao Wang 王乐豪, (B.E. NPU, co-supervised with Prof. Zhiwen Yu), 国家发明专利2项, 2022.09-

Master students:

  • Yungang Wu 仵允港, (B.E. QIT, co-supervised with Prof. Bin Guo), 2019.09-2021.04, 中国科学:信息科学 2020 (CCF-A), IoT Journal (JCR-1), next position: Engineer at Beijing Kingsoft Digital Entertainment Science and Technology
  • Haoyi Yu 于昊艺, (B.E. HEU, co-supervised with Prof. Zhiwen Yu), 国家发明专利1项, 2020.09-
  • Yanfei Wang 王延飞, (B.E. NPU, co-supervised with Prof. Zhiwen Yu), 2021.09-
  • Jingyi Hao 郝静怡, (B.E. NPU, co-supervised with Prof. Bin Guo), ICPADS 2022, 2020.09-
  • Hongli Wang 王虹力, (B.E. NPU, co-supervised with Prof. Bin Guo), ACM UbiComp 2022 (CCF-A), 国家发明专利2项,软件著作权1项, 2020.09-
  • Yuzhan Wang 王羽展, (B.E. NPU, co-supervised with Prof. Bin Guo), 2022.09-
  • Cheng Fang 方程, (B.E. NPU, co-supervised with Prof. Bin Guo), IEEE UIC 2022, 2022.09-
  • Xiaochen Li 李晓晨, (B.E. NWU), ACM UbiComp 2023 (CCF-A), 国家发明专利1项, 2022.09-
  • Hao Luo 骆浩, (B.E. NPU), 国家发明专利2项, 2022.09-
  • Yuan Xu 徐源, (B.E. NPU), 2023.09-
  • Yuan Gao 高元, (B.E. NPU), 2023.09-

Undergraduate students:

  • Kang Xiong 熊康, 2022.12-
  • Sai Guo 郭赛, 2022.12-
  • Yuan Gao 高元, 2022.06-
  • Yuan Xu 徐源, 2022.06-
  • Wangsong Yin 尹望嵩, 2021.12-2022.06, next position: Master student at Peking University
  • Zhijian Zhang 张郅健, 国家发明专利1项, 2021.12-2022.06, next position: Master student at Xi'an Jiaotong University
  • Hao Luo 骆浩, 2021.12-2022.06, next position: Master student in our Lab
  • Lehao Wang 王乐豪, 2021.09-2022.06, Recipient of Excellent Undergraduate Graduation Project (Thesis), next position: PhD student in our Lab
  • Yajing Huang 黄雅婧, 2020.12-2021.09, next position: Master student at Huazhong University of Science and Technology
  • Ke Ma 马可, 2020.09-2021.09, Recipient of Excellent Undergraduate Graduation Project (Thesis), next position: PhD student in our Lab

Teaching:

  • IoT Data Processing, Required Course for Internet of Things Engineering Major
  • Frontiers of Internet of Things Technology, Elective Course for Internet of Things Engineering Major

Last update: November, 2022