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Weihao Jiang
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2020 – today
- 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) - [c31]Hongjie Gu, Gang Sun, Ran Shen, Yifan Wang, Weihao Jiang, Junjie Huang:
Exploring Accent Similarity for Cross-Accented Speech Recognition. CCEAI 2024: 232-237 - [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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last updated on 2024-10-08 20:29 CEST by the dblp team
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