📖 About Me

I am an undergraduate student at Dongbei University of Finance and Economics. During this period, I serve as a research assistant to Zhaonan Wang at New York University. Starting this year, I will begin my PhD studies at HKUST (Guangzhou) as a member of the GIT Lab, led by Jiawei Wang, where I will pursue exciting research on network generative models.

I am passionate about all forms of computer technology 💻✨. I have compiled Android 6.0 system source code from scratch 🤖 and maintain a personal NAS server with 80TB of storage capacity 💾🏠.

My recent research interests include:

• Open science: Reconstructing the hidden decisions shaping physical-world systems from traces embedded in publicly available data.
• Self-play in generative modeling: Generating meaningful samples of the physical world, not merely realistic ones, to support more effective learning.
• Unifying physical and virtual networks: Representing physical-world networks and their virtual counterparts with shared data structures to uncover common principles.

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• Aug 21, 2026: Two collaborative papers were accepted to EMNLP 2026 Findings: BizSage: A Self-Evolving Multi-Agent Framework for Business Research with Efficient Knowledge Retrieval and Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation.
• Aug 13, 2026: I was recognized as a Best Reviewer for the KDD AI4S Track.
• Aug 11, 2026: Our work RiskTraf: Risk-Extrapolated Residual Learning for Multi-Variate Traffic Flow Prediction was accepted to CIKM 2026 as an oral presentation. I am the first author.
• Jul 26, 2026: Our work Counterfactual Load Forecasting with LLM-Structured Events and Representation Learning was accepted by Applied Energy.
• Jul 20, 2026: Our work Tactus: Sensor-Driven Adaptive Feedback for Home Hand Rehabilitation was accepted to the UbiComp/ISWC 2026 Posters Track. See you in Shanghai!
• Jul 16, 2026: I received funding from the OpenRefinery STEM Research Program, with an award of $2,400 per year.
• Jun 6, 2026: Our work Addressing Spatial Indistinguishability in Spatiotemporal Prediction via Optimal Transport-Guided Masking received a major revision from Pattern Recognition. I am the first author.
• Jun 2, 2026: Our collaborative paper Bridging Land Use and Transport Planning: An AI-Enabled Decision Support System was accepted by Transportation Research Part A.
• May 15, 2026: Our collaborative paper Interpretable Deep Learning for Traffic Prediction: Revealing the Role of Urban Morphology in Spatially Heterogeneous Cities was accepted by Journal of Transport Geography.
• May 11, 2026: Our work Net-Ev²: A Generative Simulator for Network Event Evolution was accepted to the KDD 2026 Research Track. I am the first author.
• May 1, 2026: Our collaborative paper Analyzing Environment-Transport Relationships in Metropolitan Areas: A Vulnerability-Based Geographic Framework and Prediction Model was accepted by Journal of Transport Geography.
• Apr 21, 2026: Our collaborative paper From Urban Dynamics to Intelligence: A Spatiotemporal Framework for Cross-Modal Urban Crowd Flow Management was accepted by Cities.
• Apr 7, 2026: Our work on LLM hallucinations, PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations, was accepted to the ACL 2026 Main Conference.
• Mar 23, 2026: Our work Bridging Urban Theory and Artificial Intelligence: A Multi-Agent Recommendation System for Sustainable City Development was published in npj Urban Sustainability, exploring the future of LLMs and urban research.
• Feb 1, 2026: My paper Climate-Adaptive Transportation Infrastructure: Cross-Regional Solutions for Urban Resilience and Emergency Response was published in Urban Climate.
• Jan 10, 2026: Three of our papers were accepted to AAAI Workshops, marking an exciting opportunity for future research.
• Nov 19, 2025: Our work Frequency as Identity: A Fourier Hypernetwork for Spatiotemporal Forecasting was published in Applied Soft Computing. I am the first author.

🤝 Potential Collaboration