Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation. - Yusen Lin; Jiayong Lin; Shuaicheng Zhang; Haoying Dai (CoRR, 2021)

Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer. - Shuaicheng Zhang; Lifu Huang; Qiang Ning (CoRR, 2021)

TrustLOG: The First Workshop on Trustworthy Learning on Graphs. - Jian Kang 008; Shuaicheng Zhang; Bo Li 026; Jingrui He; Jian Pei 001; Dawei Zhou 003 (CIKM, 2022)

Extracting Temporal Event Relation with Syntax-guided Graph Transformer. - Shuaicheng Zhang; Qiang Ning; Lifu Huang (NAACL-HLT (Findings), 2022)

TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks. - Shuaicheng Zhang; Yada Zhu; Dawei Zhou 003 (ICAIF, 2023)

Personalized Federated Learning under Mixture of Distributions. - Yue Wu; Shuaicheng Zhang; Wenchao Yu; Yanchi Liu; Quanquan Gu; Dawei Zhou 003; Haifeng Chen; Wei Cheng 002 (ICML, 2023)

GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily. - Shuaicheng Zhang; Haohui Wang; Si Zhang; Dawei Zhou 003 (CoRR, 2023)

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

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

MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance. - Shuaicheng Zhang; Tuo Wang; Stephen Adams; Sanmitra Bhattacharya; Sunil Reddy Tiyyagura; Edward Bowen; Balaji Veeramani; Dawei Zhou 003 (KDD (1), 2025)

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions. - Adithya Kulkarni; Fatimah Alotaibi; Xinyue Zeng; Longfeng Wu; Tong Zeng; Barry Menglong Yao; Minqian Liu; Shuaicheng Zhang; Lifu Huang; Dawei Zhou 003 (CoRR, 2025)