Ruocheng Guo

I am Ruocheng Guo, a Machine Learning Researcher at ByteDance Research in London, UK. I obtained Ph.D. degree with outstanding Ph.D. student award from Arizona State University advised by Huan Liu.

Research Interests:

• Causal Machine Learning
• Conformal Prediction
• Responsible AI
  • Fairness
  • Unlearning
  • Interpretability
• LLMs
• Recommendation Systems
• Graph Learning

Arxiv Preprints

• Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models’ Alignment
• Fair Learning to Rank with Distribution-free Risk Control (preview version presented at KDD-EAI’23)
• Deep Concept Removal
• Fair Classifiers that Abstain without Harm
• Tensorized Hypergraph Neural Networks

Recent Accepted Papers

• Causal ML
  • Debiasing Recommendation by Learning Identifiable Latent Confounders (KDD’23)
    • code
  • Learning for Counterfactual Fairness from Observational Data (KDD’23)
  • What Boosts Fake News Dissemination on Social Media? A Causal Inference View (PAKDD’23)
    • code
  • CLEAR: Generative Counterfactual Explanations on Graphs (Neurips’22)
    • code
• Conformal Prediction
  • Equal Opportunity of Coverage in Fair Regression (Neurips’23)
    • code
• LLMs
  • Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance (EMNLP’23 Findings)
• Recommendation Systems
  • Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems (KDD’23 ADS Track)
• Graph Learning
  • Virtual Node Tuning for Few-shot Node Classification (KDD’23)
  • Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization (ICDM’23)

Interested in Causality? Please find our papers and algorithm/data repositories.

• Survey Papers
  • Causal Interpretability for Machine Learning–Problems, Methods and Evaluation
  • A Survey of Learning Causality with Data: Problems and Methods
• Repositories
  • Algorithm Repository: Awesome-Causality-Algorithms
  • Data Repository: Awesome-Causality-Data

Experience:

• Machine Learning Researcher, ByteDance Research, June 2022 -
• Assistant Professor, City University of Hong Kong, Aug 2021 - June 2022
• AI Resident, Google [X], Aug 2020 - Dec 2020
• Research Intern, Microsoft Research, May 2020 - Aug 2020
• Research Intern, Etsy, May 2019 - Aug 2019