Siqi Miao

According to our database, Siqi Miao authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis.

Siqi Miao, Ziyang Chen, Yuhong Luo, Hans Hao-Hsun Hsu, Mufei Li, Kaiqing Zhang, Pan Li

CoRR, May, 2026

Towards A Universal Graph Structural Encoder.

Jialin Chen, Haolan Zuo, Haoyu Wang, Siqi Miao, Pan Li, Rex Ying

Proceedings of the ACM Web Conference 2026, 2026

2025

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 M. Duarte, Pan Li, Shih-Chieh Hsu

CoRR, October, 2025

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

CoRR, June, 2025

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models.

Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li

CoRR, June, 2025

Towards A Universal Graph Structural Encoder.

Jialin Chen, Haolan Zuo, Haoyu Peter Wang, Siqi Miao, Pan Li, Rex Ying

CoRR, April, 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

Nat. Mac. Intell., 2025

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation.

Mufei Li, Siqi Miao, Pan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning.

Jiajun Zhu, Siqi Miao, Rex Ying, Pan Li

CoRR, 2024

What Can We Learn from State Space Models for Machine Learning on Graphs?

Yinan Huang, Siqi Miao, Pan Li

CoRR, 2024

GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts.

Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics.

Siqi Miao, Zhiyuan Lu, Mia Liu, Javier M. Duarte, Pan Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

High Pileup Particle Tracking with Object Condensation.

Kilian Lieret, Gage DeZoort, Devdoot Chatterjee, Jian Park, Siqi Miao, Pan Li

CoRR, 2023

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts.

Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

CoRR, 2023

Interpretable Geometric Deep Learning via Learnable Randomness Injection.

Siqi Miao, Yunan Luo, Mia Liu, Pan Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism.

Siqi Miao, Miaoyuan Liu, Pan Li

CoRR, 2022

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism.

Siqi Miao, Mia Liu, Pan Li

Proceedings of the International Conference on Machine Learning, 2022