Junjie Qiu

Information for Intelligent Action

I’m a first-year Ph.D. student at HKUST (Guangzhou), advised by Prof. Yuxuan Liang. I study information for intelligent action.

I study how intelligent systems learn, retain, and use information from observations and experience to understand changing environments and guide action. My work draws on sequence modeling, memory, and multimodal learning.

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RESEARCH INTERESTS

Learning what matters for intelligent action.

Beyond the cycle of success and failure ↗
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Selected work

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Blog

Why do robots need memory?

A missing cup offers a way into memory and the next action.

All notes ↗
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Experience

ByFusion · LuckyShort+
Architect · AI Video Generation

Led video-agent architecture for AI short-drama production, using narrative memory, shared references, and review feedback to guide generation and preserve continuity.

Hong Kong University of Science and Technology (Guangzhou)+
Research Assistant · Temporal Modeling

Designed and pretrained temporal models for cross-domain forecasting, learning transferable representations from variable-length history for probabilistic forecasting.

Huawei · 2012 Laboratories+
Research Intern · Temporal Modeling

Adapted pretrained temporal models to Ascend and evaluated them against reproduced baselines on telecommunications and power forecasting datasets.

SUSTech · Center for Computational Science and Engineering+
Intern · High-Performance Computing

Benchmarked and commissioned HPC nodes, then used MPI profiling to optimize the interconnect topology of four newly installed nodes, reducing MPI communication time by approximately 20%.

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Publications

Education

Sep. 2026 — Present

Hong Kong University of Science and Technology (Guangzhou)

Ph.D. in Intelligent Transportation

Advised by Prof. Yuxuan Liang

Sep. 2021 — Jul. 2025

Southern University of Science and Technology

B.S. in Data Science and Big Data Technology

GPA 3.89/4.00 · Rank 4/53 (top 10%)
Outstanding Graduate; Outstanding Undergraduate Thesis; Top Ten Graduate Award, Shude Residential College