Scholar

Zijie Huang

Google Scholar ID: SejA1zsAAAAJ

Google Deepmind

Machine LearningLarge Language ModelAI4ScienceGraph Machine Learning

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Publications

20 items

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Academic Achievements

[{'Award': 'Best Paper Award at DLDE@NeurIPS', 'Year': '2023'}, {'Award': 'EECS Rising Star', 'Year': '2023'}, {'Award': 'KDD Student Travel Award', 'Year': '2023'}, {'Award': 'ICML Student Travel Award', 'Year': '2023'}, {'Award': 'Amazon & UCLA Science Hub Fellowship', 'Year': '2022'}, {'Award': 'NeurIPS Student Travel Award', 'Year': '2020'}, {'Award': 'National Scholarship', 'Year': '2017'}, {'Award': 'Outstanding Graduate of Shanghai Jiao Tong University', 'Year': '2019'}, {'Award': 'Academic Excellence Scholarship of SJTU', 'Year': '2016, 2017, 2018'}, {'Paper': 'From Coarse to Fine: A Physics-Informed Self-Guided Flow Diffusion Model', 'Conference': 'arxiv, 2025'}, {'Paper': 'MIRAI: Evaluating LLM Agents for Event Forecasting', 'Conference': 'LAW@NeurIPS, 2025'}, {'Paper': 'PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time', 'Conference': 'MTI-LLM@NeurIPS, 2025'}, {'Paper': 'Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection', 'Conference': 'ACL, 2025; ENLSP-IV@NeurIPS, 2024'}, {'Paper': 'Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation', 'Conference': 'AAAI, 2025'}, {'Paper': 'GraphVis: Boosting LLMs with Visual Knowledge Graph Integration', 'Conference': 'The Conference on'}]

Background

Research Interests: Generative AI, AI for Science (with a special focus on LLMs, dynamical system modeling, knowledge graph reasoning, and diffusion models). Brief: Currently a research scientist at Google Deepmind, working on Gemini pretraining, synthetic data for reasoning, etc.

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