Wei Wang

According to our database, Wei Wang authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency.

Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Correlation Matching Transformation Transformers for UHD Image Restoration.

Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Importance filtered soft label-based deep adaptation network.

Wei Wang, Ziyi Wang, Mengzhu Wang, Haojie Li, Zhihui Wang

Knowl. Based Syst., April, 2023

Boosting unsupervised domain adaptation: A Fourier approach.

Mengzhu Wang, Shanshan Wang, Ye Wang, Wei Wang, Tianyi Liang, Junyang Chen, Zhigang Luo

Knowl. Based Syst., March, 2023

Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation.

Wei Wang, Haojie Li, Zhengming Ding, Feiping Nie, Junyang Chen, Xiao Dong, Zhihui Wang

IEEE Trans. Neural Networks Learn. Syst., 2023

Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation.

Houcheng Su, Daixian Liu, Mengzhu Wang, Wei Wang

CoRR, 2023

PromptRestorer: A Prompting Image Restoration Method with Degradation Perception.

Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning.

Junyang Chen, Zhiguo Gong, Jiqian Mo, Wei Wang, Wei Wang, Cong Wang, Xiao Dong, Weiwen Liu, Kaishun Wu

IEEE Trans. Neural Networks Learn. Syst., 2022

Confidence Regularized Label Propagation Based Domain Adaptation.

Wei Wang, Baopu Li, Mengzhu Wang, Feiping Nie, Zhihui Wang, Haojie Li

IEEE Trans. Circuits Syst. Video Technol., 2022

Joint Adaptive Dual Graph and Feature Selection for Domain Adaptation.

Jing Sun, Zhihui Wang, Wei Wang, Haojie Li, Fuming Sun, Zhengming Ding

IEEE Trans. Circuits Syst. Video Technol., 2022

Informative pairs mining based adaptive metric learning for adversarial domain adaptation.

Mengzhu Wang, Paul Li, Li Shen, Ye Wang, Shanshan Wang, Wei Wang, Xiang Zhang, Junyang Chen, Zhigang Luo

Neural Networks, 2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation.

Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding

CoRR, 2022

2021

Sparsely-labeled source assisted domain adaptation.

Wei Wang, Shenglun Chen, Yuankai Xiang, Jing Sun, Haojie Li, Zhihui Wang, Fuming Sun, Zhengming Ding, Baopu Li

Pattern Recognit., 2021

Domain adaptation with geometrical preservation and distribution alignment.

Jing Sun, Zhihui Wang, Wei Wang, Haojie Li, Fuming Sun

Neurocomputing, 2021

A Unified Joint Maximum Mean Discrepancy for Domain Adaptation.

Wei Wang, Baopu Li, Shuhui Yang, Jing Sun, Zhengming Ding, Junyang Chen, Xiao Dong, Zhihui Wang, Haojie Li

CoRR, 2021

InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation.

Mengzhu Wang, Wei Wang, Baopu Li, Xiang Zhang, Long Lan, Huibin Tan, Tianyi Liang, Wei Yu, Zhigang Luo

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy.

Mengzhu Wang, Xiang Zhang, Long Lan, Wei Wang, Huibin Tan, Zhigang Luo

CoRR, 2020

Rethink Maximum Mean Discrepancy for Domain Adaptation.

Wei Wang, Haojie Li, Zhengming Ding, Zhihui Wang

CoRR, 2020

Sparsely-Labeled Source Assisted Domain Adaptation.

Wei Wang, Zhihui Wang, Yuankai Xiang, Jing Sun, Haojie Li, Fuming Sun, Zhengming Ding

CoRR, 2020

Inductive Document Representation Learning for Short Text Clustering.

Junyang Chen, Zhiguo Gong, Wei Wang, Xiao Dong, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Adaptive Local Neighbors for Transfer Discriminative Feature Learning.

Wei Wang, Zhihui Wang, Haojie Li, Juan Zhou, Zhengming Ding

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Probabilistic Filtered Soft Labels for Domain Adaptation.

Wei Wang, Zhihui Wang, Haojie Li, Zhengming Ding

CoRR, 2019

2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018