About Me

Welcome! I am Longling Geng, a student at Stanford University, specializing in Software Systems and Artificial Intelligence. My academic focus lies in convex optimization, multi-agent systems, large language models (LLMs), and reinforcement learning. At Stanford University, I am working closely with Prof. Mert Pilanci and Prof. Edward Chang. During undergraduate, I am working closely with Prof. Qing Li and Prof. Kai Zhou. I am also grateful for valuable guidance and past collaboration with Prof. Andrew Ng (Stanford), Prof. James Zou (Stanford), Prof. Jonathan Chen (Stanford), Dr. Yajun Fang (MIT), Prof. Wei Lou (HKPolyU), Prof. Hong Va Leong (HKPolyU), Prof. Chun Bun Henry Chan (HKPolyU), and Prof. Dennis Liu (HKPolyU).

📍 Current Position

Research Collaboration:, Stanford OVAL Lab, Stanford InfoLab, Prof. Mert’s Group, Hazy Research, and Stanford ML Group.
Startup: KCUBE-AI (Seed-round investment by Stanford InfoLab, Hong Kong Science and Technology Park Ideation Program, KTEO, and Hong Kong Polytechnic University.

📄 Publications

The paper is accepted/submitted. “∗” indicates equal contribution.

DRIVE: Dynamic Rule Inference and Verified Evaluation for Constraint-Aware Autonomous Driving

Longling Geng, H. Li, V. L. Naess, Mert Pilanci
Submitted to AAAI 2026
Paper
Code

ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning

Longling Geng, Edward Y. Chang
Submitted to NeurIPS 2025
Paper
Code

REALM-Bench: A Real-World Planning Benchmark for LLMs and Multi-Agent Systems

Longling Geng, Edward Y. Chang
arXiv preprint (arXiv:2502.18836), submitted to KDD 2026
Paper
Code

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search

Sungyoon Kim, R. V. Dwaraknath, Longling Geng, Mert Pilanci
Submitted to NeurIPS 2025
Paper
Code

SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning

Edward Y. Chang, Longling Geng
Accepted by VLDB 2025 (51st International Conference on Very Large Data Bases)
Paper
Code

MedAgentBench: Dataset for Benchmarking LLMs as Agents in Medical Applications

Y. Jiang∗, K. C. Black∗, G. Geng, D. Park, A. Y. Ng, J. H. Chen
Accepted by NEJM–AI (2025), IF: 96.2
Paper
Project
Code

B. Yu, L. Zhu, Longling Geng, K. Zhou
Accepted by ICASSP 2024 (IEEE International Conference on Acoustics, Speech and Signal Processing)
Paper

Unleashing the Power of Indirect Attacks against Trust Prediction via Preferential Path

B. Yu, L. Zhu, Longling Geng, K. Zhou
Published in Journal of Knowledge and Information Systems (KAIS 2023), IF: 3.3
Paper

Evaluation of Smart Home Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness & Sustainability

Longling Geng∗, X. Xiong∗, Z. Liu∗, … Y. Fang
The 6th International Conference on Universal Village (IEEE UV 2023)
Paper

Multi-classification on the Diagnosis of Four Early Stages of Alzheimer’s Disease by Transfer Learning Models

Longling Geng
SPIE, 3rd International Conference on Artificial Intelligence and Computer Engineering
Paper

💼 Professional Experience

Reviewer: KDD 2025, AAAI 2026

🧑‍🏫 Teaching

CS372: Artificial Intelligence for Reasoning, Planning, and Decision Making, Stanford University
COMP1001: Computational Thinking and Problem Solving, HK PolyU
Served as teaching assistant and project mentor (2021–2024)

🏆 Awards

Best Capstone Project – Hong Kong Polytechnic University
National Science and Technology Competition Medal
HKSAR Scholarship

🛠 Skills & Tools

Languages: Python, Java, C/C++, SQL, R, JavaScript, Bash
Frameworks: PyTorch, TensorFlow, Keras, React, Flutter, Unity
Systems: Docker, Conda, Verilog, CAD, Microservices
ML Toolkits: CUDA, Matlab, Scikit-learn, SPSS
Security: HIPAA compliance, Encryption, GNN attack defense

🎓 Education

Stanford University (2024–)
Software and Hardware Systems – GPA: 4.0/4.0
Focus: LLMs, Human-centered Agent and AI, Convex Optimization, Independent Projects

Hong Kong Polytechnic University (2020–2024)
B.Sc. in Computer Science, Minor in Applied Mathematics – GPA: 3.97/4.30, Minor GPA: 4.2/4.3 Awards: Best Capstone Project, National Sci-Tech Medal

Longling Geng