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Pengkun Wang
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2020 – today
- 2024
- [j6]Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang:
Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction. IEEE Trans. Veh. Technol. 73(1): 282-294 (2024) - [c12]Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. AAAI 2024: 9089-9097 - [c11]Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang:
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. AAAI 2024: 17042-17050 - [c10]Wei Xu, Pengkun Wang, Zhe Zhao, Binwu Wang, Xu Wang, Yang Wang:
When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification. WWW 2024: 905-913 - [i2]Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang:
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. CoRR abs/2404.14941 (2024) - 2023
- [j5]Binwu Wang, Yudong Zhang, Jiahao Shi, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang:
Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs. IEEE Trans. Intell. Transp. Syst. 24(7): 7190-7201 (2023) - [j4]Pengkun Wang, Chuancai Ge, Zhengyang Zhou, Xu Wang, Yuantao Li, Yang Wang:
Joint Gated Co-Attention Based Multi-Modal Networks for Subregion House Price Prediction. IEEE Trans. Knowl. Data Eng. 35(2): 1667-1680 (2023) - [j3]Kun Wang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Qi Fang, Yang Wang:
A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction. IEEE Trans. Knowl. Data Eng. 35(12): 11984-11998 (2023) - [c9]Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang:
Long-Tailed Time Series Classification via Feature Space Rebalancing. DASFAA (1) 2023: 151-166 - [c8]Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang:
A Knowledge-Driven Memory System for Traffic Flow Prediction. DASFAA (4) 2023: 192-207 - [c7]Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang, Yang Wang:
Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection. ICASSP 2023: 1-5 - [c6]Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang:
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. ICLR 2023 - [c5]Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. KDD 2023: 2223-2232 - [c4]Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang:
An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. KDD 2023: 2409-2418 - [c3]Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang:
EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. KDD 2023: 2953-2964 - [c2]Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang:
A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. WSDM 2023: 294-302 - [i1]Xu Wang, Pengfei Gu, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective. CoRR abs/2301.11742 (2023) - 2022
- [j2]Pengkun Wang, Chaochao Zhu, Xu Wang, Zhengyang Zhou, Guang Wang, Yang Wang:
Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method. IEEE Trans. Veh. Technol. 71(9): 9840-9852 (2022) - [c1]Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang:
Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion. ICDM 2022: 518-527 - 2021
- [j1]Pengkun Wang, Momiao Zhou, Zhizhong Ding:
A Two-Layer IP Hopping-Based Moving Target Defense Approach to Enhancing the Security of Mobile Ad-Hoc Networks. Sensors 21(7): 2355 (2021)
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last updated on 2024-05-29 23:18 CEST by the dblp team
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