Final-year Ph.D. candidate @ HKUST · I build AI systems that ship to production.
Agentic & ML systems for high-stakes, real-world decision-making — urban, transportation, and scientific domains.
Homepage · Scholar · X / Twitter · lyutf@outlook.com
I don't just publish models — I ship them. My work runs live, at scale, with verified gains.
- 🚕 ProfiLLM — live on DiDi (Brazil). An agentic LLM framework with utility-aligned user profiling for industrial ride-hailing dispatch. Deployed across three cities in Brazil, serving millions of daily orders, with verified live A/B-test gains.
🌐 Project · 💻 Code · (VLDB, under review) - ☢️ NRFormer — deployed nationwide. A spatio-temporal transformer for nationwide nuclear-radiation forecasting, online for 1–24 day forecasts.
📄 arXiv · 💻 Code · (KDD 2025, CCF A)
I'm a final-year Ph.D. candidate in the AI Thrust at The Hong Kong University of Science and Technology, Guangzhou, advised by Prof. Hao Liu and Prof. Hai Yang (Chair Professor). I work closely with Prof. Hui Xiong (Chair Professor) on LLMs and foundation models for urban general intelligence.
What I build: trustworthy, efficient, deployable AI for decision-making — from autonomous LLM agents that route ride-hailing fleets, to physics-informed transformers that forecast climate and radiation nationwide.
🎯 I'm on the job market — seeking academic and industry positions. Let's talk: lyutf@outlook.com
- 🏆 5 first-author CCF-A papers (KDD, IJCAI, SIGIR)
- 📚 2 first-author IEEE Transactions papers (TITS, TCBB)
- 📝 2 first/co-first author papers under review (VLDB, TKDE)
- 📈 ~580 citations (Google Scholar)
- 🌍 2 real-world deployments — ProfiLLM on DiDi Brazil; NRFormer online nationwide
My work turns frontier AI into deployed systems that make consequential decisions in the physical world.
| Theme | Focus | Representative work |
|---|---|---|
| 🤖 LLM Agents for Decision-Making | LLMs as autonomous agents for real-world transportation decisions | ProfiLLM (VLDB '27, under review) · LLM-ODDR (IEEE TITS '26) |
| 🔬 AI for Science | Deep learning for climate, nuclear radiation, drug & cancer | TelePiT (KDD '26) · NRFormer (KDD '25) · MDNN (IJCAI '21) · MGNN (SIGIR '20) |
| ⚙️ Automated Machine Learning | NAS for spatio-temporal data, graphs & molecules | AutoSTF (KDD '25) · Auto-GNAS (IEEE TPDS '22) · GraphPAS (SIGIR '21) |
📂 Expand for per-paper details
🤖 LLM Agents for Decision-Making
- ProfiLLM — agentic LLM with utility-aligned user profiling for industrial ride-hailing dispatch; deployed on DiDi. Project · Code
- LLM-ODDR — the first LLM framework for joint order dispatching and driver repositioning. arXiv · Code
🔬 AI for Science
- TelePiT — Physics-Informed Teleconnection-Aware Transformer for global subseasonal-to-seasonal forecasting. arXiv · Code
- NRFormer — spatio-temporal transformer for nationwide nuclear-radiation forecasting, deployed online. arXiv · Code
- NRFormer+ — atmospheric diffusion-guided spatio-temporal transformer extending NRFormer for nuclear-radiation forecasting. Code · (TKDE, under review)
- MDNN — multimodal deep neural net for drug–drug interaction events. Paper
- MGNN — multimodal GNN for cancer patient survival. Paper
⚙️ Automated Machine Learning (AutoML)
- 2026.06 🏆 Best Research Award (First place), AI at HKUST Guangzhou.
- 2026.05 🚕 Released ProfiLLM — agentic LLM for ride-hailing dispatch, deployed on DiDi Brazil.
- 2026.05 🎉 LLM-ODDR accepted to IEEE TITS.
- 2025.11 🎉 TelePiT accepted to KDD 2026 (global S2S forecasting).
- 2025.09 🥳 Paper accepted to NeurIPS 2025 (foundation models for scientific discovery).
- 2025.07 🏅 KDD Student Travel Award.
- 2025.05 🎉 NRFormer accepted to KDD 2025 (nationwide nuclear radiation forecasting).
- 2024.11 🎉 AutoSTF accepted to KDD 2025 (automated spatio-temporal forecasting).
Click to expand / collapse
| Venue | Paper | Links |
|---|---|---|
| TKDE† (CCF A) |
NRFormer+: Atmospheric Diffusion-Guided Spatio-Temporal Transformer for Nuclear-Radiation Forecasting Tengfei Lyu, Jindong Han, Hao Liu |
arXiv · Code |
| VLDB† (CCF A) |
ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch Tengfei Lyu*, Zirui Yuan*, et al. |
Project · Code |
| IEEE TITS (CCF B) |
LLM-ODDR: Joint Order Dispatching and Driver Repositioning Tengfei Lyu, Siyuan Feng, Hao Liu, Hai Yang |
arXiv · Code |
| KDD 2026 (CCF A) |
TelePiT: Physics-Informed Teleconnection-Aware Transformer Tengfei Lyu, Weijia Zhang, Hao Liu |
arXiv · Code |
| KDD 2025 (CCF A) |
AutoSTF: Decoupled NAS for Cost-Effective Spatio-Temporal Forecasting Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu |
arXiv · Code |
| KDD 2025 (CCF A) |
NRFormer: Nationwide Nuclear-Radiation Forecasting Tengfei Lyu, Jindong Han, Hao Liu |
arXiv · Code |
| IEEE TCBB (CCF B) |
Predicting Cancer-Patient Survival with a Multimodal GNN Jianliang Gao, Tengfei Lyu (First Student Author), et al. |
Paper |
| IJCAI 2021 (CCF A) |
MDNN: Multimodal Deep Neural Network for Drug–Drug Interaction Events Tengfei Lyu, et al. |
Paper |
| SIGIR 2020 (CCF A) |
MGNN: Multimodal GNN for Cancer Patient Survival Jianliang Gao, Tengfei Lyu (First Student Author), et al. |
Paper |
* equal contribution · † under review. Full list on Google Scholar.
Reviewer — SIGKDD (2024/2025/2026), WebConf (2025/2026), NeurIPS (2023/2024), TKDE, TKDD, TIST, TITS.
Selected awards — Best Research Award (2026, AI@HKUST(GZ)) · ACM SIGKDD Student Travel Award (2025)· ACM SIGIR Student Travel Award (2020) · Outstanding Paper Award (2024) · Outstanding Graduate of Hunan Province, Top 1% (2022) · National Scholarship, Top 1% (2016/2018/2020) · Liaoning Provincial Government Scholarship, Top 1% (2017)· Presidential Scholarship, Top 0.1% (2018) · President Innovation Scholarship, Top 0.1% (2021).
📬 Building deployable AI for real-world decision-making — and looking for my next role.
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lyutf@outlook.com