UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning. - Junhong Lin 004; Xiaojie Guo 002; Shuaicheng Zhang; Dawei Zhou 003; Yada Zhu; Julian Shun (IEEE Big Data, 2024)

FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection. - Junhong Lin 004; Xiaojie Guo 002; Yada Zhu; Samuel Mitchell; Erik Altman; Julian Shun (ICAIF, 2024)

When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. - Junhong Lin 004; Xiaojie Guo 002; Shuaicheng Zhang; Dawei Zhou 003; Yada Zhu; Julian Shun (CoRR, 2024)

Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. - Song Wang 013; Junhong Lin 004; Xiaojie Guo 002; Julian Shun; Jundong Li; Yada Zhu (ICLR, 2025)

LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. - Xinyue Zeng; Haohui Wang; Junhong Lin 004; Jun Wu 019; Tyler Cody; Dawei Zhou 003 (ICML, 2025)

When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark. - Junhong Lin 004; Xiaojie Guo 002; Shuaicheng Zhang; Yada Zhu; Julian Shun (KDD (2), 2025)

ConstellationNet: Reinventing Spatial Clustering through GNNs. - Aidan Gao; Junhong Lin 004 (CoRR, 2025)

Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning. - Junhong Lin 004; Xinyue Zeng; Jie Zhu; Song Wang 013; Julian Shun; Jun Wu 019; Dawei Zhou 003 (CoRR, 2025)

Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs. - Junhong Lin 004; Song Wang 013; Xiaojie Guo 002; Julian Shun; Yada Zhu (CoRR, 2025)

HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs. - Xinyue Zeng; Junhong Lin 004; Yujun Yan; Feng Guo; Liang Shi; Jun Wu 019; Dawei Zhou 003 (CoRR, 2026)

How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge. - Junhong Lin 004; Bing Zhang; Song Wang 013; Ziyan Liu; Dan Gutfreund; Julian Shun; Yada Zhu (CoRR, 2026)

ConstellationNet: Reinventing Clustering Through GNNs. - Aidan Gao; Junhong Lin 004 (Mach. Learn., 2026)