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[2026-08] 🎉 Journal article accepted by ACM Transactions on Social Computing (TSC): "From Solo Post to Shared Space: How a Public LLM Agent Reshapes Human-to-Human Conversation Structure on a Social Platform" — Dandan Liu (first author); Guangrui Fan (corresponding author)

[2026-08] Paper accepted by Findings of EMNLP 2026: "FairSynth: Instrument-Relative Evaluation and Calibration of LLM Survey Simulations for Measurement Fairness"

[2026-07] 🎉 Journal article accepted by Social Media + Society (SSCI 中科院Q1 Top): "Fairness Labels in Feeds: Process Disclosures, Provenance, and User Choice Among Short-Video Creators in Mainland China"

[2026-06] 🎉 Journal article accepted by ACM Transactions on Information Systems (TOIS) (CCF A): "Conformal@K: Distribution-Free Top-K Miss-Risk Control for Recommendation with Overlapping-Group and Two-Stage Guarantees"

[2026-06] 🎉 Journal article published (Early Access) in IEEE Transactions on Computational Social Systems: "Textless, Tiny, and Private: Hashed n-Grams with LLM-Teacher Distillation and Local Differential Privacy for Mental-Health Screening on Social Media"

[2026-05] Two papers accepted by ICML 2026 (CCF A): first-author paper "Graph-Preference Learning: Debiasing Network-Sampled Human Feedback for Target Welfare Estimation" and coauthored paper "Incomplete Multi-View Clustering via Neighborhood-Conditioned Diffusion"

[2026-04] Paper accepted by ECSCW 2026 (CCF B): "Consent Boundaries by Play: A CI-Grounded Micro-Game for Eliciting Stable Preferences and Diagnosing Opt-Out Friction in Web Consent"

[2026-04] 🎉 Paper accepted by ACL 2026 (CCF A, Main Conference): "Feeling Rules in Language Models: Mapping Norms of Emotional Appropriateness Across Roles, Institutions, and Intensity"

[2026-03] 🏆 Paper "When Help Hurts: Verification Load and Fatigue with AI Coding Assistants" received Honourable Mention Award at ACM CHI 2026!

[2026-01] 🎉🎉🎉 3 papers accepted by CHI 2026 (CCF A): "Is It Still You? Attributing Authorship and Authenticity in AI-Assisted Romantic Communication", "When Help Hurts: Verification Load and Fatigue with AI Coding Assistants", and "Co-Adaptive Eco-Nudging: A Privacy-Preserving Contextual Bandit with User-Taught Preferences"

[2026-01] 🎉 Paper accepted by FSE 2026 (CCF A): "Multi-LLM Persona Generation for Virtual Focus Groups in Software Engineering"

[2026-01] 🎉 Paper accepted by The Web Conference (WWW) 2026 (CCF A): "Audit-of-Audits for the Web: Bayesian Meta-Evaluation that Yields Interval-Valued, Threshold-Aligned Fairness Claims"

[2026] 🎉 Journal article accepted by International Journal of STEM Education (SCI 中科院Q1 Top): "Tool, Tutor, or Crutch?: A Grounded Theory of Cognitive Scaffolding and Offloading in AI-Assisted Programming Education"

[2025] 🔥 Paper "The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance" in International Journal of STEM Education recognized as:
- ESI Highly Cited Paper (ESI 高被引论文)
- Most cited articles (past two years)
- Most popular articles (past 9 months) (Rank 1)

[2025-12] 🎉 Paper accepted by AAAI 2026 (CCF A): "Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities"

[2025] 🏆 Received First-Class Paper Award and Best Presentation Award at CPEC2025 (第九届中国计算机实践教育学术会议)

[2025] 🎤 Oral presentation at IJCAI (CCF A) 2025 Satellite Event in Guangzhou, China

About Me

I am a Lecturer at the School of Computer Science and Technology, Taiyuan University of Science and Technology. I received my Ph.D. in Computer Science from Universiti Malaya.

My research develops trustworthy learning and decision-making methods for complex human–AI and networked systems. I study how AI can learn from biased, sparse, and dynamic human and environmental feedback while maintaining calibrated risk, human agency, and social trust.

Research

My work spans four connected directions. What ties them together is a simple concern: real-world AI systems learn from imperfect human and network feedback, and the decisions they support carry risks that must be measured and controlled. I combine empirical HCI methods (experiments, surveys, qualitative studies) with machine learning (graph neural networks, LLMs, conformal prediction). See the Research page for details.

Trustworthy Learning from Human & Network Feedback. Clicks, ratings, and peer responses are biased, incomplete, and constantly shifting. I develop methods that debias network-sampled feedback and provide distribution-free guarantees on risk, fairness, and calibration.
Representative: Graph-Preference Learning (ICML 2026) · Conformal@K (ACM TOIS) · Audit-of-Audits (WWW 2026)

Cognitive Reliability in Human–AI Collaboration. AI assistance changes how people verify, understand, and learn. I study when help genuinely builds capability and when it quietly erodes it—verification load, cognitive offloading, and skill retention after the AI is gone.
Representative: When Help Hurts (CHI 2026, Honourable Mention 🏆) · Tool, Tutor, or Crutch? (IJ STEM Ed) · AI-Assisted Pair Programming (IJ STEM Ed, ESI Highly Cited)

AI-Mediated Communication & Social Trust. When AI participates in human expression, people must judge who authored a message, whether it is authentic, and whether it is appropriate. I study authorship attribution, emotional norms, and disclosure in AI-mediated communication.
Representative: Is It Still You? (CHI 2026) · Feeling Rules in Language Models (ACL 2026) · Consent Boundaries by Play (ECSCW 2026)

Graph Spatiotemporal Intelligence for Transportation. Transportation networks are dynamic graphs with failing sensors, changing topology, and distribution drift. I build graph learning methods for reliable traffic state estimation and risk-aware prediction.
Representative: DynaKey-GNN (EAAI) · GNN for Traffic Forecasting: A Survey

Education

Ph.D. in Computer Science, Universiti Malaya, Malaysia (2026)
M.S. in Software Engineering, Shanghai Jiao Tong University, China (2018)
B.S. in Software Engineering, Huazhong University of Science and Technology, China (2014)

Current Position

Lecturer, School of Computer Science and Technology
Taiyuan University of Science and Technology, Taiyuan, China (2018 - Present)

Professional Service

Program Committee Member

The Web Conference (WWW) 2026 - Special Track: Web4Good (CCF A)

Conference & Journal Reviewer

CHI 2026 - Conference on Human Factors in Computing Systems (CCF A)
Engineering Applications of Artificial Intelligence (EAAI, SCI 中科院Q1 Top)
International Journal of STEM Education (SCI 中科院Q1 Top)
Information, Communication & Society (SSCI 中科院Q1 Top)

Contact

📧 Email: fgr@tyust.edu.cn

Feel free to reach out for research collaboration or academic inquiries.

Gerryfan 樊光瑞