📝 Publications
Can LLM Agents Assist Dynamic Network Simulation? A Case Study on Email Networks and Phishing Synthesis
Siqi Miao, Ziyang Chen, Yuhong Luo, Hans Hao-Hsun Hsu, Mufei Li, Kaiqing Zhang, Pan Li. Preprint 2025
Towards unveiling sensitive and decisive patterns in explainable AI with a case study in geometric deep learning
Jiajun Zhu*, Siqi Miao*, Rex Ying, Pan Li. Nature Machine Intelligence
(*Equal contribution)
Simple is Effective: The Roles of Graphs and LLMs in KG-Based Retrieval-Augmented Generation
Mufei Li*, Siqi Miao*, Pan Li. ICLR 2025
(*Equal contribution)
What Can We Learn from State Space Models for Machine Learning on Graphs?
Yinan Huang*, Siqi Miao*, Pan Li. Preprint 2024
(*Equal contribution, listed in alphabetical order)
LSH-Based Efficient Point Transformer with Applications in High-Energy Physics
Siqi Miao, Zhiyuan Lu, Mia Liu, Javier Duarte, Pan Li. ICML 2024 (Oral, Top 1.5%)
Interpretable Geometric Deep Learning via Learnable Randomness Injection
Siqi Miao, Yunan Luo, Mia Liu, Pan Li. ICLR 2023
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Siqi Miao, Mia Liu, Pan Li. ICML 2022 (Spotlight)
-
Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particle Reconstruction, Shitij Govil, Jack P Rodgers, Yuan-Tang Chou*, Siqi Miao*, Amit Saha, Advaith Anand, Kilian Lieret, Gage DeZoort, Mia Liu, Javier Duarte, Pan Li, Shih-Chieh Hsu. (*Corresponding authors)
-
-
Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation, Deyu Zou*, Yongqiang Chen*, Mufei Li, Siqi Miao, Chenxi Liu, Bo Han, James Cheng, Pan Li. (*Equal contribution)
-
-
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts, Deyu Zou*, Shikun Liu*, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li. (*Equal contribution)
-
High Pileup Particle Tracking with Object Condensation, Kilian Lieret, Gage DeZoort, Devdoot Chatterjee, Jian Park, Siqi Miao, Pan Li.