Shuaicheng Zhang

14 papers A* 1A 1B 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations.
CoRR
Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou
2025 — conf
MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance.
KDD (1)
Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou
2025 J jnl
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions.
CoRR
Adithya Kulkarni, Fatimah Alotaibi, Xinyue Zeng, Longfeng Wu, Tong Zeng, Barry Menglong Yao, Minqian Liu, Shuaicheng Zhang, Lifu Huang, Dawei Zhou
2025 — conf
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark.
KDD (2)
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Yada Zhu, Julian Shun
2024 B conf
UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning.
IEEE Big Data
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2024 J jnl
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods.
CoRR
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2023 J jnl
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily.
CoRR
Shuaicheng Zhang, Haohui Wang, Si Zhang, Dawei Zhou
2023 A* conf
Personalized Federated Learning under Mixture of Distributions.
ICML
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023 J jnl
Personalized Federated Learning under Mixture of Distributions.
CoRR
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023 — conf
TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks.
ICAIF
Shuaicheng Zhang, Yada Zhu, Dawei Zhou
2022 — conf
Extracting Temporal Event Relation with Syntax-guided Graph Transformer.
NAACL-HLT (Findings)
Shuaicheng Zhang, Qiang Ning, Lifu Huang
2022 A conf
TrustLOG: The First Workshop on Trustworthy Learning on Graphs.
CIKM
Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
2021 J jnl
Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation.
CoRR
Yusen Lin, Jiayong Lin, Shuaicheng Zhang, Haoying Dai
2021 J jnl
Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer.
CoRR
Shuaicheng Zhang, Lifu Huang, Qiang Ning