Biography

Dr. Chen Chen is an Assistant Professor of Information Systems at The Chinese University of Hong Kong, Shenzhen. He obtained his Ph.D. in Molecular Cancer Biology from  Duke University in 2014 and Ph.D. in Management from Boston University in 2020. His primary research interests include 1) using advanced deep learning algorithms and language models to decipher how human beings interact, behave and make decisions in both virtual and real communities; 2) understanding the dynamics of patient-doctor's interaction on online healthcare platforms; 3) knowledge engineering and knowledge interpolation/extrapolation vis knowledge graph and Graph Neural Networks.


Publications

Published Articles in Scientific Journals or Conferences

1. Chen Chen, Dylan Walker, Venkatesh Saligrama. Political Slant: How You Talk about What You Talk About! ( Accepted to present in ACL2023 conference as long paper, a top tier international conference in both AI and NLP, listed as CCF-A conference in CS) 

2. Chen, C., & Walker, D. (2022). A Bitter Pill to Swallow? The Consequences of Patient Evaluation in Online Health Question-and-Answer Platforms. Information Systems Research: https://pubsonline.informs.org/doi/abs/10.1287/isre.2022.1158


Under Review

1. Yanhua Bird, Lan Wang*, Chen Chen, Yan-Nie, Liao. Sense and Sensibility: Communicative Differences and Gender Disparity in Virtual Expert Work. (Under review at Org Science, UTD24)


Working Paper

1. Chen Chen, Dylan Walker, Venkatesh Saligrama & Henghui Zhu. Navigating the Congress: Explore the True Ideology of The US Politicians and its Impact on their Votes. (Stage: manuscript writing; Target: Proceedings of the National Academy of Sciences) (Part of the three-paper dissertation)

2. Lan Wang, Xiao-ping Chen,  Chen Chen*. Social versus Algorithmic Influence: How and Why Focal Norms Impact Medical Doctors' Compassion Expression on Digital Health Platforms. (Finished Manuscript, preparing for submission to AMJ) 

3. Chen Chen, Hailun Zhang, Jie Zhang, Lan Wang*. The Perils of Digital (Mis-)Triage: A Dynamic Mixed-Methods Investigation into the Unintended Effects of Online Health Consultations. (Finished modeling analysis and experiments, drafting manuscripts, targeting Management Science)


Work in Progress

1. Chen Chen*, Rui Xu, Heran Ma, A Roadmap to Ground-Truth: an Advanced De-Biasing Algorithm to Address Systematic Distortions of Subjective Labels in Supervised Learning.

2. Chen Chen*,  Yuzhen Jiang, Transforming the Knowledge with HT-BERT: a Hybrid Model of Dynamic Heterogeneous Graph Transformers and LLMs for Academic Entity Embeddings


Other Publications

1. Chen C, Zhang L, Huang NJ, Huang B, Kornbluth S*. (2013). Suppression of DNA-damage checkpoint signaling by Rsk-mediated phosphorylation of Mre11. Proceedings of the National Academy of Sciences. 110(51):20605-20610. Impact factor: 9.8

2. Wu JQ, Guo JY, Tang W, Yang CS, Freel CD, Chen C, Nairn AC, Kornbluth S*. (2009). PP1-mediated dephosphorylation of phosphoproteins at mitotic exit is controlled by inhibitor-1 and PP1 phosphorylation. Nature Cell Biology. 11(5):644-651. Impact factor: 20.1

3. Tang W, Wu JQ, Chen C, Yang CS, Guo JY, Freel CD, Kornbluth S*. (2010). Emi2-mediated inhibition of E2-substrate ubiquitin transfer by the anaphase-promoting complex/cyclosome through a D-box-independent mechanism. Molecular Biology of the Cell. 21(15):2589-2597. Impact factor: 4.5

4. Zhang L, Huang NJ, Chen C, Tang W, Kornbluth S*. (2012). Ubiquitylation of p53 by the APC/C inhibitor Trim39. Proceedings of the National Academy of Sciences. 109(51):20931-209306. Impact factor: 9.8

5. Huang NJ, Zhang L, Tang W, Chen C, Yang CS, Kornbluth S*. (2012). The Trim39 ubiquitin ligase inhibits APC/Cdh1-mediated degradation of the Bax activator MOAP-1. Journal of Cell Biology. 197(3):361-367. Impact factor: 9.7

6. Huang BF, Yang CS, Wojton J, Huang NJ, Chen C, Soderblom EJ, Zhang L, Kornbluth S*. (2014). Metabolic control of Ca2+/Calmodulin-dependent protein kinase II (CaMKII)-mediated Caspase-2 suppression by the B55β/protein phosphatase 2A (PP2A). Journal of Biological Chemistry. 289(52), 35882-35890; Impact factor: 4.6