CV (click here)


Ph.D., Communication & Cognitive Science (double-major), Indiana University-Bloomington, 2007
B.S., Journalism & Communication, China Youth University for Political Sciences, Beijing, 2001

Research Interests

      • Emotion and cognition during message processing and media choice behavior; message design and evaluation;
      • Reciprocal dynamics of short- and long-term media use behaviors and media effects on emotion and cognition;
      • Psychophysiology and dynamic modeling methods;
      • Quantum probability models of cognition and decision; contextualized communication, decision and choices.

Currently, I’m especially interested in pursuing some new ideas and approaches from cognitive science to the study of communications.

      • One new direction is the use of real time data (e.g., psychophysiological measures, real life experience sampling) in conjunction with formal dynamic models to study how people process, select, and are affected by information. This has led to the development of new dynamic models of information processing and choice behaviors. My current focus is the dynamic reciprocal effects between media use/choices and their impacts on emotion and cognition over time. I have employed the approach to study media entertainment, ads and health campaign message processing, program context effects, news selection, media multitasking, etc. They help design more effective messages and media platforms. Also, they help better understand the long-term dynamic reciprocal influences between media use, communications, cognitive functions and neuro-substrates, and personal traits from a dynamic, developmental perspective.
      • Another new direction is to study contextual influences on cognition, decision, and communication, by building new probabilistic and dynamic systems based upon quantum rather than traditional classical probability principles. Quantum probability theory turns out to be highly suitable for explaining puzzles associated with the highly contextual nature of cognition. I have applied the dynamic quantum models to study paradoxical findings that have resisted classical explanations, including categorization-decision interference effects, sequential effects of measurements (e.g., order effects of attitude judgments and decisions), and episodic memory overdistribution effects. Check out our special issue on The Potential of Quantum Probability for Modeling Cognitive Processes (Topics in Cognitive Science, 2013) and related commentaries (2014).

Recent awards:

Denis McQuail Award (2016) and ASCoR Honorary Fellow (2017-2018) for “the best article advancing communication theory published in a peer-reviewed journal in the previous two years”

Top Paper Award, International Communication Association, Information Systems, 2016

Mattox Award for research productivity and impact ($10,000), SoC, OSU, 2015

ScienceDirect Top 25 hottest article in Journal of Mathematical Psychology (Continuously ranked every quarter, 2006-2015)

Most Cited Article in the Past Five Years (2009-2014), Journal of Mathematical Psychology

Most Cited Article in the Past Five Years (2006-2011), Journal of Mathematical Psychology

Top Faculty Paper Award, International Communication Association, Communication and Technology, 2013

Top Paper Award, National Communication Association, Human Communication and Technology, 2012

Top Paper Award, International Communication Association, Information System, 2008

External, Federal Research Grants

[Pending] Co-PI, NSF, “Wireless Fully-Passive Multi-Channel Neural Recording for Chronic In-Vivo Studies” (PI: John Volakis), $160,000 to Wang and $999,179 across research sites, 2016-2019

PI, NSF, “Construct a General Hilbert Space Multi-dimensional Model,” $500,000 in total, 2016-2019

PI, the OSU site, Air Force Office of Scientific Research (AFOSR), “Quantum Theory for Dynamic Strategic Decision Making” (FA 9550-15-1-0343), $810,000 in total, 2015-2019

PI, NSF, “Quantum Decision Theory” (SES 1153846), $50,000 in total, 2012-2014

PI, the OSU site, Air Force Office of Scientific Research (AFOSR), “Applications of Quantum Probability Theory to Dynamic Decision Making” (FA 9550-12-1-0397), $607,712 in total, 2012-2015

PI, NSF, “Quantum Information Processing” (SES 0818277), $450,000 in total, 2009-2012

Read More about My Research and the CAP Lab

Welcome to visit our Communication and Psychophysiology (CAP) Lab webpage here on

Also I’m affiliated faculty at the Center for Cognitive and Brain Sciences [the CCBS] and the Decision Science Collaborative [Decision]. I also serve on the Faculty Advisory Board of Translational Data Analytics [TDA@OSU].