Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism. - Siqi Miao 001; Mia Liu; Pan Li 005 (ICML, 2022)

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism. - Siqi Miao 001; Miaoyuan Liu; Pan Li 005 (CoRR, 2022)

Interpretable Geometric Deep Learning via Learnable Randomness Injection. - Siqi Miao 001; Yunan Luo; Mia Liu; Pan Li 005 (ICLR, 2023)

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts. - Deyu Zou; Shikun Liu; Siqi Miao 001; Victor Fung; Shiyu Chang; Pan Li 005 (CoRR, 2023)

High Pileup Particle Tracking with Object Condensation. - Kilian Lieret; Gage DeZoort; Devdoot Chatterjee; Jian Park; Siqi Miao 001; Pan Li 005 (CoRR, 2023)

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics. - Siqi Miao 001; Zhiyuan Lu; Mia Liu; Javier M. Duarte; Pan Li 005 (ICML, 2024)

GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts. - Deyu Zou; Shikun Liu; Siqi Miao 001; Victor Fung; Shiyu Chang; Pan Li 005 (NeurIPS, 2024)

What Can We Learn from State Space Models for Machine Learning on Graphs? - Yinan Huang; Siqi Miao 001; Pan Li 005 (CoRR, 2024)

Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning. - Jiajun Zhu; Siqi Miao 001; Rex Ying; Pan Li 005 (CoRR, 2024)

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation. - Mufei Li; Siqi Miao 001; Pan Li 005 (ICLR, 2025)

Towards unveiling sensitive and decisive patterns in explainable AI with a case study in geometric deep learning. - Jiajun Zhu; Siqi Miao 001; Rex Ying; Pan Li 005 (Nat. Mac. Intell., 2025)

Towards A Universal Graph Structural Encoder. - Jialin Chen; Haolan Zuo; Haoyu Peter Wang; Siqi Miao 001; Pan Li 005; Rex Ying (CoRR, 2025)

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models. - Haoyu Wang 004; Peihao Wang; Mufei Li; Shikun Liu; Siqi Miao 001; Zhangyang Wang; Pan Li 005 (CoRR, 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 001; Chenxi Liu; Bo Han; James Cheng; Pan Li 005 (CoRR, 2025)

Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particle Reconstruction. - Shitij Govil; Jack P. Rodgers; Yuan-Tang Chou; Siqi Miao 001; Amit Saha; Advaith Anand; Kilian Lieret; Gage DeZoort; Mia Liu; Javier Duarte; Pan Li 005; Shih-Chieh Hsu (CoRR, 2025)