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Junwei Su
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2020 – today
- 2024
- [c8]Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu:
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. EuroSys 2024: 1054-1074 - [c7]Junwei Su, Shan Wu, Jinhui Li:
MTRGL: Effective Temporal Correlation Discerning Through Multi-Modal Temporal Relational Graph Learning. ICASSP 2024: 6025-6029 - [c6]Junwei Su, Difan Zou, Chuan Wu:
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks. ICLR 2024 - [c5]Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu:
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline. KDD 2024: 2651-2662 - [i13]Junwei Su, Shan Wu, Jinhui Li:
MTRGL: Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning. CoRR abs/2401.14199 (2024) - [i12]Junwei Su, Difan Zou, Chuan Wu:
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks. CoRR abs/2402.04284 (2024) - [i11]Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu:
Towards Robust Graph Incremental Learning on Evolving Graphs. CoRR abs/2402.12987 (2024) - [i10]Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu:
MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline. CoRR abs/2402.15113 (2024) - [i9]Junwei Su, Chuan Wu:
On the Topology Awareness and Generalization Performance of Graph Neural Networks. CoRR abs/2403.04482 (2024) - [i8]Junwei Su, Lingjun Mao, Chuan Wu:
BG-HGNN: Toward Scalable and Efficient Heterogeneous Graph Neural Network. CoRR abs/2403.08207 (2024) - [i7]Junwei Su, Difan Zou, Chuan Wu:
Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems. CoRR abs/2403.08585 (2024) - [i6]Yuchen Zhong, Junwei Su, Chuan Wu, Minjie Wang:
Heta: Distributed Training of Heterogeneous Graph Neural Networks. CoRR abs/2408.09697 (2024) - 2023
- [j2]Junwei Su, Peter Marbach:
Structural Properties of Core-periphery Communities. Adv. Complex Syst. 26(6): 2340004:1-2340004:43 (2023) - [c4]Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu:
Towards Robust Graph Incremental Learning on Evolving Graphs. ICML 2023: 32728-32748 - [i5]Junwei Su, Chuan Wu:
Towards Robust Inductive Graph Incremental Learning via Experience Replay. CoRR abs/2302.03534 (2023) - [i4]Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu:
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. CoRR abs/2311.09690 (2023) - 2022
- [c3]Junwei Su, Peter Marbach:
Structure of Core-Periphery Communities. COMPLEX NETWORKS (2) 2022: 151-161 - [i3]Junwei Su, Peter Marbach:
Structure of Core-Periphery Communities. CoRR abs/2207.06964 (2022) - [i2]Junwei Su:
ABC: Aggregation before Communication, a Communication Reduction Framework for Distributed Graph Neural Network Training and Effective Partition. CoRR abs/2212.05410 (2022) - 2021
- [j1]Le Wang, Junwei Su, Zhaolin Gu, Liyu Tang:
Numerical study on flow field and pollutant dispersion in an ideal street canyon within a real tree model at different wind velocities. Comput. Math. Appl. 81: 679-692 (2021) - 2020
- [i1]Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Kaijin Xu, Lingxiang Ruan, Wei Wu:
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia. CoRR abs/2002.09334 (2020)
2010 – 2019
- 2018
- [c2]Zhi Wang, Jinli Zhang, Qixu Liu, Xiang Cui, Junwei Su:
Practical Metrics for Evaluating Anonymous Networks. SciSec 2018: 3-18 - [c1]Yun Feng, Baoxu Liu, Xiang Cui, Chaoge Liu, Xuebin Kang, Junwei Su:
A Systematic Method on PDF Privacy Leakage Issues. TrustCom/BigDataSE 2018: 1020-1029
Coauthor Index
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last updated on 2024-10-01 20:48 CEST by the dblp team
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