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ORCIDWeihao Jiang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j8]Zhaozhi Xie, Weihao Jiang, Yuwen Yang, Hongtao Lu:
Superpixel Guided Network for Weakly Supervised Semantic Segmentation. IEEE Signal Process. Lett. 31: 2885-2889 (2024)- [j7]Linjun Li
, Tao Jin, Wang Lin, Hao Jiang, Wenwen Pan, Jian Wang, Shuwen Xiao, Yan Xia, Weihao Jiang, Zhou Zhao:
Multi-Granularity Relational Attention Network for Audio-Visual Question Answering. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7080-7094 (2024) - [c32]Hongjie Gu, Gang Sun, Ran Shen, Yifan Wang, Weihao Jiang, Junjie Huang:
Exploring Accent Similarity for Cross-Accented Speech Recognition. CCEAI 2024: 232-237 - [c31]Linsen Li, Chunfei Jian, Feng Wan, Dongdong Geng, Ziquan Fang, Lu Chen, Yunjun Gao, Weihao Jiang, Jiang Zhu:
LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting. CIKM 2024: 1235-1244 - [c30]Hao Shen, Weihao Jiang, Junjie Huang:
Speaker Adaptation for Lip Reading with Robust Entropy Minimization and Adaptive Pseudo Labels. CMLDS 2024: 40:1-40:6 - [c29]Hanni Cheng, Ya Cong, Weihao Jiang, Shiliang Pu:
Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model. ICLR 2024 - [c28]Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu:
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices. ICLR 2024 - [c27]Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang:
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation. ICME 2024: 1-6 - [c26]Chao Zhang, Jinbiao Xing, Hui Wang, Kuangzheng Li, Weihao Jiang, Shiliang Pu:
Adaptive Distance-Aware Attention Models for Routing Problems. IJCNN 2024: 1-8 - [c25]Yuye Feng, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren:
SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns. KDD 2024: 782-793 - [c24]Yuye Feng, Wei Zhang, Haiming Sun, Weihao Jiang:
Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection. PAKDD (1) 2024: 3-14 - [i11]Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu:
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices. CoRR abs/2401.09703 (2024) - [i10]Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang:
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation. CoRR abs/2401.13051 (2024) - [i9]Weihao Jiang, Guodong Liu, Di He, Kun He:
Boosting Meta-Training with Base Class Information for Few-Shot Learning. CoRR abs/2403.03472 (2024) - [i8]Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu:
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting. CoRR abs/2403.19213 (2024) - [i7]Weihao Jiang, Chang Liu, Kun He:
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning. CoRR abs/2405.03109 (2024) - [i6]Weihao Jiang, Haoyang Cui, Kun He:
Class-relevant Patch Embedding Selection for Few-Shot Image Classification. CoRR abs/2405.03722 (2024) - [i5]Weihao Jiang, Shuoxi Zhang, Kun He:
Siamese Transformer Networks for Few-shot Image Classification. CoRR abs/2408.01427 (2024) - 2023
- [j6]Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided feature mining and fusion network for natural image matting. Comput. Vis. Image Underst. 230: 103645 (2023) - [j5]Yuxuan Li, Weihao Jiang, Zhihui Shi, Chunjie Yang:
A Soft Sensor Model of Sintering Process Quality Index Based on Multi-Source Data Fusion. Sensors 23(10): 4954 (2023) - [j4]Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang:
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(1): 810-823 (2023) - [c23]Huizhou Liu, Weihao Jiang, Junjie Huang:
Adaptive Speech Recognition via Dual-Level Sequential Pseudo Labels. AIMLR 2023: 21:1-21:6 - [c22]Hanni Cheng, Haosi Zheng, Ya Cong, Weihao Jiang, Shiliang Pu:
Select and Optimize: Learning to aolve large-scale TSP instances. AISTATS 2023: 1219-1231 - [c21]Gang Sun, Ran Shen, Liangfeng Jin, Yifan Wang, Shiyu Xu, Jinpeng Chen, Weihao Jiang:
Instruction Tuning Text-to-SQL with Large Language Models in the Power Grid Domain. CCRIS 2023: 59-63 - [c20]Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu:
Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. CIKM 2023: 524-534 - [c19]Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu:
Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. CIKM 2023: 833-842 - [c18]Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang:
GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. CIKM 2023: 2502-2511 - [c17]Yunfei Du, Yin Wang, Ya Cong, Weihao Jiang, Shiliang Pu:
Evolution Strategies Enhanced Complex Multiagent Coordination. IJCNN 2023: 1-9 - [c16]Jie Xin, Jing Zeng, Ya Cong, Weihao Jiang, Shiliang Pu:
Cooperation Skill Motivated Reinforcement Learning for Traffic Signal Control. IJCNN 2023: 1-9 - [c15]Liyong Zheng, Hongyu Rao, Shiliang Pu, Weihao Jiang, Yonggang Hao, Wenjing Li, Jianxuan Shao, Bin Su, Saisai Wang, Wei Zhao, Yijue Xie, Wei Zhang:
Traffic State Identification Based on Graph Neural Networks: Taking Tidal Traffic as an Example. ITSC 2023: 2157-2162 - [c14]Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang:
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds. KDD 2023: 414-425 - [c13]Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu:
PROSE: Graph Structure Learning via Progressive Strategy. KDD 2023: 2337-2348 - [i4]Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang:
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds. CoRR abs/2306.08967 (2023) - [i3]Xinchi Han, Weihao Jiang, Peirui Cao, Qinwei Yang, Yunzhuo Liu, Shuyao Qi, Shengkai Lin, Shizhen Zhao:
Isolated Scheduling for Distributed Training Tasks in GPU Clusters. CoRR abs/2308.05692 (2023) - 2022
- [j3]Weihao Jiang, Li Yan, Yaofeng Tu, Xiangsheng Zhou, Zongmin Ma:
PG-explorer: Resource Description Framework data exploration with property graphs. Expert Syst. Appl. 198: 116789 (2022) - [c12]Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu:
Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. CIKM 2022: 108-117 - [c11]Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu:
Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. CIKM 2022: 2413-2422 - [c10]Feng Wan, Linsen Li, Ke Wang, Lu Chen, Yunjun Gao, Weihao Jiang, Shiliang Pu:
MTTPRE: a multi-scale spatial-temporal model for travel time prediction. SIGSPATIAL/GIS 2022: 51:1-51:10 - [c9]Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang:
Can Abnormality be Detected by Graph Neural Networks? IJCAI 2022: 1945-1951 - [c8]Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu:
Graph Intention Neural Network for Knowledge Graph Reasoning. IJCNN 2022: 1-8 - [c7]Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu:
Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. IJCNN 2022: 1-9 - [c6]Jing Zeng, Jie Xin, Ya Cong, Jiancong Zhu, Yihao Zhang, Weihao Jiang, Shiliang Pu:
HALight: Hierarchical Deep Reinforcement Learning for Cooperative Arterial Traffic Signal Control with Cycle Strategy. ITSC 2022: 479-485 - [c5]Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai:
Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering. PAKDD (1) 2022: 522-534 - [c4]Huizhao Wang, Yao Fu, Linghui Hu, Weihao Jiang, Shiliang Pu:
Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction. PAKDD (1) 2022: 535-547 - 2021
- [i2]Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting. CoRR abs/2112.00510 (2021) - 2020
- [c3]Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu:
LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. ICME Workshops 2020: 1-6 - [c2]Yaoyi Li, Jianfu Zhang, Weijie Zhao, Weihao Jiang, Hongtao Lu:
Inductive Guided Filter: Real-Time Deep Matting with Weakly Annotated Masks on Mobile Devices. ICME 2020: 1-6 - [c1]Yao Fu, Junhong Wan, Hong Zhao, Weihao Jiang, Shiliang Pu:
Preference-aware Heterogeneous Graph Neural Networks for Recommendation. ICTAI 2020: 41-46 - [i1]Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu:
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. CoRR abs/2006.02706 (2020)
2010 – 2019
- 2019
- [j2]Yan Chen, Weihao Jiang, Yong Zheng, Guodongxu He:
EMI Suppression of High-Frequency Isolated Quasi Z-Source Inverter Based on Multi-Scroll Chaotic PWM Modulation. IEEE Access 7: 146198-146208 (2019) - 2016
- [j1]Weihao Jiang, Anxi Yu, Zhen Dong, Qingsong Wang:
Comparison and Analysis of Geometric Correction Models of Spaceborne SAR. Sensors 16(7): 973 (2016)
Coauthor Index
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