Weihao Jiang

According to our database, Weihao Jiang authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Granularity Relational Attention Network for Audio-Visual Question Answering.

Linjun Li, Tao Jin, Wang Lin, Hao Jiang, Wenwen Pan, Jian Wang, Shuwen Xiao, Yan Xia, Weihao Jiang, Zhou Zhao

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Superpixel Guided Network for Weakly Supervised Semantic Segmentation.

Zhaozhi Xie, Weihao Jiang, Yuwen Yang, Hongtao Lu

IEEE Signal Process. Lett., 2024

LumosCore: Highly Scalable LLM Clusters with Optical Interconnect.

Xinchi Han, Shizhen Zhao, Yongxi Lv, Peirui Cao, Weihao Jiang, Shengkai Lin, Xinbing Wang

CoRR, 2024

Siamese Transformer Networks for Few-shot Image Classification.

Weihao Jiang, Shuoxi Zhang, Kun He

CoRR, 2024

Class-relevant Patch Embedding Selection for Few-Shot Image Classification.

Weihao Jiang, Haoyang Cui, Kun He

CoRR, 2024

Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning.

Weihao Jiang, Chang Liu, Kun He

CoRR, 2024

Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting.

Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu

CoRR, 2024

Boosting Meta-Training with Base Class Information for Few-Shot Learning.

Weihao Jiang, Guodong Liu, Di He, Kun He

CoRR, 2024

Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection.

Yuye Feng, Wei Zhang, Haiming Sun, Weihao Jiang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns.

Yuye Feng, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adaptive Distance-Aware Attention Models for Routing Problems.

Chao Zhang, Jinbiao Xing, Hui Wang, Kuangzheng Li, Weihao Jiang, Shiliang Pu

Proceedings of the International Joint Conference on Neural Networks, 2024

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation.

Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Fast Updating Truncated SVD for Representation Learning with Sparse Matrices.

Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model.

Hanni Cheng, Ya Cong, Weihao Jiang, Shiliang Pu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Speaker Adaptation for Lip Reading with Robust Entropy Minimization and Adaptive Pseudo Labels.

Hao Shen, Weihao Jiang, Junjie Huang

Proceedings of the International Conference on Computing, 2024

LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting.

Linsen Li, Chunfei Jian, Feng Wan, Dongdong Geng, Ziquan Fang, Lu Chen, Yunjun Gao, Weihao Jiang, Jiang Zhu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Exploring Accent Similarity for Cross-Accented Speech Recognition.

Hongjie Gu, Gang Sun, Ran Shen, Yifan Wang, Weihao Jiang, Junjie Huang

Proceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence, 2024

2023

Trimap-guided feature mining and fusion network for natural image matting.

Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu

Comput. Vis. Image Underst., April, 2023

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning.

Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang

IEEE Trans. Knowl. Data Eng., 2023

A Soft Sensor Model of Sintering Process Quality Index Based on Multi-Source Data Fusion.

Yuxuan Li, Weihao Jiang, Zhihui Shi, Chunjie Yang

Sensors, 2023

Isolated Scheduling for Distributed Training Tasks in GPU Clusters.

Xinchi Han, Weihao Jiang, Peirui Cao, Qinwei Yang, Yunzhuo Liu, Shuyao Qi, Shengkai Lin, Shizhen Zhao

CoRR, 2023

PROSE: Graph Structure Learning via Progressive Strategy.

Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds.

Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Traffic State Identification Based on Graph Neural Networks: Taking Tidal Traffic as an Example.

Liyong Zheng, Hongyu Rao, Shiliang Pu, Weihao Jiang, Yonggang Hao, Wenjing Li, Jianxuan Shao, Bin Su, Saisai Wang, Wei Zhao, Yijue Xie, Wei Zhang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Cooperation Skill Motivated Reinforcement Learning for Traffic Signal Control.

Jie Xin, Jing Zeng, Ya Cong, Weihao Jiang, Shiliang Pu

Proceedings of the International Joint Conference on Neural Networks, 2023

Evolution Strategies Enhanced Complex Multiagent Coordination.

Yunfei Du, Yin Wang, Ya Cong, Weihao Jiang, Shiliang Pu

Proceedings of the International Joint Conference on Neural Networks, 2023

GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features.

Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs.

Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion.

Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Instruction Tuning Text-to-SQL with Large Language Models in the Power Grid Domain.

Gang Sun, Ran Shen, Liangfeng Jin, Yifan Wang, Shiyu Xu, Jinpeng Chen, Weihao Jiang

Proceedings of the 2023 4th International Conference on Control, 2023

Select and Optimize: Learning to aolve large-scale TSP instances.

Hanni Cheng, Haosi Zheng, Ya Cong, Weihao Jiang, Shiliang Pu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Adaptive Speech Recognition via Dual-Level Sequential Pseudo Labels.

Huizhou Liu, Weihao Jiang, Junjie Huang

Proceedings of the Asia Conference on Artificial Intelligence, 2023

2022

PG-explorer: Resource Description Framework data exploration with property graphs.

Weihao Jiang, Li Yan, Yaofeng Tu, Xiangsheng Zhou, Zongmin Ma

Expert Syst. Appl., 2022

Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering.

Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction.

Huizhao Wang, Yao Fu, Linghui Hu, Weihao Jiang, Shiliang Pu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

HALight: Hierarchical Deep Reinforcement Learning for Cooperative Arterial Traffic Signal Control with Cycle Strategy.

Jing Zeng, Jie Xin, Ya Cong, Jiancong Zhu, Yihao Zhang, Weihao Jiang, Shiliang Pu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion.

Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu

Proceedings of the International Joint Conference on Neural Networks, 2022

Graph Intention Neural Network for Knowledge Graph Reasoning.

Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu

Proceedings of the International Joint Conference on Neural Networks, 2022

Can Abnormality be Detected by Graph Neural Networks?

Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MTTPRE: a multi-scale spatial-temporal model for travel time prediction.

Feng Wan, Linsen Li, Ke Wang, Lu Chen, Yunjun Gao, Weihao Jiang, Shiliang Pu

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating.

Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation.

Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Preference-aware Heterogeneous Graph Neural Networks for Recommendation.

Yao Fu, Junhong Wan, Hong Zhao, Weihao Jiang, Shiliang Pu

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Inductive Guided Filter: Real-Time Deep Matting with Weakly Annotated Masks on Mobile Devices.

Yaoyi Li, Jianfu Zhang, Weijie Zhao, Weihao Jiang, Hongtao Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation.

Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

2019

EMI Suppression of High-Frequency Isolated Quasi Z-Source Inverter Based on Multi-Scroll Chaotic PWM Modulation.

Yan Chen, Weihao Jiang, Yong Zheng, Guodongxu He

IEEE Access, 2019

2016

Comparison and Analysis of Geometric Correction Models of Spaceborne SAR.

Weihao Jiang, Anxi Yu, Zhen Dong, Qingsong Wang

Sensors, 2016