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Wenchao Weng
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2020 – today
- 2026
[j13]Wenchao Weng
, Yuqi Shen, Mei Wu, Xiangjie Kong
, Ivan Lee
, Guojiang Shen, Feng Xia:
Dual-aspect contrastive hyper fusion transformer for trip recommendation. Neurocomputing 695: 134023 (2026)
[j12]Zhenzhen Zhao
, Xueming Jiang, Guojiang Shen, Wenchao Weng
, Wenfeng Zhou, Xiangjie Kong
, Feng Xia
:
Conditional diffusion transformer enabled few-shot spatiotemporal modeling. Inf. Fusion 136: 104499 (2026)
[j11]Xiangjie Kong
, Can Shu
, Wenchao Weng
, Zhenzhen Zhao
, Guojiang Shen
, Lei Wang
, Sajal K. Das
:
Dynamic Hub-Aware Knowledge Distillation for Efficient Traffic Flow Forecasting. IEEE Internet Things J. 13(13): 28957-28972 (2026)
[j10]Dawen Xia, Jian Zhang
, Wenchao Weng, Wenlin He, Yanmin Liu, Yang Hu, Fuchu Zhang, Yantao Li, Huaqing Li:
An aggregated graph attention network with depthwise separable convolution fusion for traffic flow forecasting. J. Supercomput. 82(5): 338 (2026)
[i6]Mei Wu, Wenchao Weng, Wenxin Su, Wenjie Tang, Wei Zhou:
CoMemNet: Contrastive Sampling with Memory Replay Network for Continual Traffic Prediction. CoRR abs/2605.05738 (2026)- 2025
[j9]Mei Wu, Wenchao Weng
, Xinran Wang, Dewen Seng
:
TSHDNet: temporal-spatial heterogeneity decoupling network for multi-mode traffic flow prediction. Appl. Intell. 55(4): 320 (2025)
[j8]Junbi Xiao, Yunhuan Cong, Wenjing Zhang, Wenchao Weng
:
A cellular traffic prediction method based on diffusion convolutional GRU and multi-head attention mechanism. Clust. Comput. 28(2): 125 (2025)
[j7]Junbi Xiao, Wenjing Zhang, Wenchao Weng
, Yuhao Zhou
, Yunhuan Cong:
Multi-scale fusion dynamic graph convolutional recurrent network for traffic forecasting. Clust. Comput. 28(3): 150 (2025)
[j6]Jin Fan
, Wenchao Weng
, Qikai Chen, Huifeng Wu, Jia Wu
:
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction. Neural Networks 183: 106941 (2025)
[j5]Jin Fan
, Fu Zhu
, Wenchao Weng
, Xinyi Zhang
, Hanyu Jiang
, Hao Tian, Huifeng Wu
:
Dynamic Modeling and Analysis of Bi-Directional Traffic Flows Through a Deep Spatio-Temporal Graph Neural Network. IEEE Trans. Big Data 11(6): 3016-3028 (2025)
[j4]Wenchao Weng
, Mei Wu
, Hanyu Jiang
, Wanzeng Kong
, Xiangjie Kong
, Feng Xia
:
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 26(9): 13603-13617 (2025)
[c7]Mei Wu, Yiqian Lin, Tianfan Jiang, Wenchao Weng
:
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction. ICASSP 2025: 1-5
[c6]Mei Wu, Wenchao Weng
, Jun Li, Yiqian Lin, Jing Chen, Dewen Seng:
SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction. ICASSP 2025: 1-5
[c5]Tianfan Jiang
, Mei Wu, Wenchao Weng
, Dewen Seng, Yiqian Lin:
A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting. ICIC (7) 2025: 244-256
[c4]Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han
, Haidong Gao, Guojiang Shen, Xiangjie Kong:
Let's Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling. IJCAI 2025: 3471-3479
[c3]Hang Yang, Ke Liu, Wenchao Weng, Weichen Dai, Andrzej Cichocki, Wanzeng Kong:
MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection. IJCNN 2025: 1-8
[i5]Mei Wu, Yiqian Lin, Tianfan Jiang, Wenchao Weng
:
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction. CoRR abs/2501.03635 (2025)
[i4]Mei Wu, Wenchao Weng
, Jun Li, Yiqian Lin, Jing Chen, Dewen Seng:
SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction. CoRR abs/2501.04060 (2025)
[i3]Tianfan Jiang, Mei Wu, Wenchao Weng
, Dewen Seng, Yiqian Lin:
A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting. CoRR abs/2506.02609 (2025)- 2024
[j3]Jin Fan
, Wenchao Weng
, Hao Tian, Huifeng Wu
, Fu Zhu
, Jia Wu
:
RGDAN: A random graph diffusion attention network for traffic prediction. Neural Networks 172: 106093 (2024)
[c2]Chenyan Zhang, Yifei Chen, Zhenxiong Fan, Yiyu Huang, Wenchao Weng
, Ruiquan Ge, Dong Zeng, Changmiao Wang:
TC-DiffRecon: Texture Coordination MRI Reconstruction Method Based on Diffusion Model and Modified MF-UNet Method. ISBI 2024: 1-5
[i2]Chenyan Zhang, Yifei Chen, Zhenxiong Fan, Yiyu Huang, Wenchao Weng, Ruiquan Ge, Dong Zeng, Changmiao Wang:
TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method. CoRR abs/2402.11274 (2024)
[i1]Wenchao Weng
, Mei Wu, Hanyu Jiang, Wanzeng Kong, Xiangjie Kong, Feng Xia:
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction. CoRR abs/2408.07100 (2024)- 2023
[j2]Wenchao Weng
, Jin Fan
, Huifeng Wu, Yujie Hu, Hao Tian, Fu Zhu, Jia Wu
:
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting. Pattern Recognit. 142: 109670 (2023)
[j1]Yujie Hu
, Shaoxian Li
, Wenchao Weng
, Kuiwen Xu
, Gaofeng Wang
:
NSAW: An Efficient and Accurate Transformer for Vehicle LiDAR Object Detection. IEEE Trans. Instrum. Meas. 72: 1-10 (2023)
[c1]Wenchao Weng
, Qikai Chen
, Yu Dai
, Jingyang Chen
, Dongliang Chen
:
Multi-scale Fusion Dynamic Graph Neural Network For Traffic Flow Prediction. ADMIT 2023: 85-90
Coauthor Index

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last updated on 2026-08-28 02:02 CEST by the dblp team
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