Hongning Wang headshot
HW

Hongning Wang

Associate Professor
Unit: School of Engineering and Applied Science
Department: Department of Computer Science
Office location and address
Rice Hall 408
85 Engineers Way
Charlottesville, Virginia 22903
Education
B.S. ​Tsinghua University, China, 2007
M.S. ​​Tsinghua University, China, 2009
Ph.D. ​University of Illinois at Urbana and Champaign, 2014
Biography

Hongning Wang received his Ph.D. from the Department of Computer Science at University of Illinois at Champaign-Urbana in 2014, and joined University of Virginia as Assistant Professor since then. He is the recipient of National Science Foundation CAREER Award, 2014 Yahoo ACE (Academic Career Enhancement) Award, Google 2012 PhD Fellowship in Search and Information Retrieval, and 2012 Yahoo! Key Scientific Challenges in Web Information Management. He has served on program committees for several major conferences such as WWW, WSDM, ICML, ECML/PKDD, CIKM, and ECIR, and reviewed for multiple journals, including IEEE TKDE, ACM TOIS, Neurocomputing and BMC Bioinformatics.

III: Small: Towards Explainable Personalization
Source: U.S. National Science Foundation (NSF)
October 01, 2020 – September 30, 2023
SCH: INT: Learning and Improving Alzheimer¿s Patient-Caregiver Relationships via Smart Healthcare Technology
Source: U.S. National Science Foundation (NSF)
January 01, 2019 – December 31, 2022
III:Small: Cyber Physical Mappings - Empower Building Analytics at Scale
Source: U.S. NSF - Directorate Computer & Info. Sciences
August 01, 2017 – July 31, 2022
EN-CS CAREER: Human-Centric Knowledge Discovery and Decision Optimization
Source: U.S. NSF - Directorate Computer & Info. Sciences
January 15, 2016 – April 30, 2022
III: Small: Collaborative Learning with Incomplete and Noisy Knowledge
Source: The Regents of the University of California
November 01, 2019 – July 31, 2021
The Building Adapter: Cloud Services for Building Analytics at Scale
Source: U.S. Department of Energy
January 01, 2018 – June 30, 2021
Relevance Estimation in Long-tail Queries
Source: Taobao China Software Co Ltd
October 28, 2019 – October 27, 2020
EN-CS- CPS: TTP Option: Breakthrough: Collaborative Sensing: An Approach for Immediately Scalable Sensing in Buildings
Source: U.S. NSF - Directorate Computer & Info. Sciences
October 01, 2016 – September 30, 2020
NSF Student Travel Grant for the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval
Source: U.S. NSF - Directorate Computer & Info. Sciences
April 01, 2018 – March 31, 2019
EN-SEIII: Small: Collaborative Learning with Incomplete and Noisy Knowledge
Source: U.S. NSF - Directorate Computer & Info. Sciences
August 01, 2016 – July 06, 2018
CS 4501: Special Topics in Computer Science
Credits: 1–3
Content varies annually, depending on instructor interests and the needs of the department. Similar to CS 5501 and CS 7501, but taught strictly at the undergraduate level. Prerequisite: Instructor permission; additional specific requirements vary with topics.
CS 4780: Information Retrieval
Credits: 3
An introduction to modern information retrieval technologies. Topics include indexing, query processing, document ranking, query recommendation, personalization, and other current topics in information retrieval. Students develop a custom search engine as part of this course. Prerequisites: CS2150 and one of APMA 3100, APMA 3110, MATH 3100, or equivalent.
CS 4980: Capstone Research
Credits: 1–3
This course is one option in the CS fourth-year thesis track. Students will seek out a faculty member as an advisor, and do an independent project with said advisor. Instructors can give the 3 credits across multiple semesters, if desired. This course is designed for students who are doing research, and want to use that research for their senior thesis. Note that this track could also be an implementation project, including a group-based project. Prerequisite: CS 2150 with a grade of C- or higher
CS 4993: Independent Study
Credits: 1–3
In-depth study of a computer science or computer engineering problem by an individual student in close consultation with departmental faculty. The study is often either a thorough analysis of an abstract computer science problem or the design, implementation, and analysis of a computer system (software or hardware). Prerequisite: Instructor permission.
CS 4998: Distinguished BA Majors Research
Credits: 3
Required for Distinguished Majors completing the Bachelor of Arts degree in the College of Arts and Sciences. An introduction to computer science research and the writing of a Distinguished Majors thesis. Prerequisites: CS 2150 with a grade of C- or higher and CS BA major status.
CS 6501: Special Topics in Computer Science
Credits: 3
Course content varies by section and is selected to fill timely and special interests and needs of students. See CS 7501 for example topics. May be repeated for credit when topic varies. Prerequisite: Instructor permission.
CS 6890: Industrial Applications
Credits: 1
A graduate student returning from Curricular Practical Training can use this course to claim one credit hour of academic credit after successfully reporting, orally and in writing, a summary of the CPT experience to his/her academic advisor.
CS 6993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
CS 7993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
CS 7995: Supervised Project Research
Credits: 3
Formal record of student commitment to project research for the Master of Computer Science degree under the guidance of a faculty advisor.
CS 8897: Graduate Teaching Instruction
Credits: 1–12
For master's students who are teaching assistants.
CS 8999: Thesis
Credits: 1–12
Formal record of student commitment to thesis research for the Master of Science degree under the guidance of a faculty advisor. May be repeated as necessary.
CS 9999: Dissertation
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.

NSF CAREER Award 2016

Yahoo Academic Career Enhancement Award 2014