Ziwei Wu

According to our database, Ziwei Wu authored at least 25 papers between 2017 and 2024.

Collaborative distances:

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

2024

Bmsmlet: boosting multi-scale information on multi-level aggregated features for salient object detection.

Ziwei Wu, Tong Jia, Yunhe Wu, Zhikang Zeng, Feng Liang

Vis. Comput., February, 2024

Collaborative Offloading Strategy for Dependent Tasks in Mobile Edge Computing.

Qingao Huo, Wendong Zhang, Ziwei Wu, Guochang Song, Bo Wang

Wirel. Pers. Commun., January, 2024

Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support.

Xiaojun Wu, Dixiang Zhang, Ruyi Gan, Junyu Lu, Ziwei Wu, Renliang Sun, Jiaxing Zhang, Pingjian Zhang, Yan Song

CoRR, 2024

FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes.

Haonan Wang, Ziwei Wu, Jingrui He

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

A method for identifying grape stems using keypoints.

Ziwei Wu, Fang Xia, Suyin Zhou, Dayu Xu

Comput. Electron. Agric., June, 2023

Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects.

Junyu Lu, Ruyi Gan, Dixiang Zhang, Xiaojun Wu, Ziwei Wu, Renliang Sun, Jiaxing Zhang, Pingjian Zhang, Yan Song

CoRR, 2023

iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design.

Ruyi Gan, Xiaojun Wu, Junyu Lu, Yuanhe Tian, Dixiang Zhang, Ziwei Wu, Renliang Sun, Chang Liu, Jiaxing Zhang, Pingjian Zhang, Yan Song

CoRR, 2023

Ziya2: Data-centric Learning is All LLMs Need.

Ruyi Gan, Ziwei Wu, Renliang Sun, Junyu Lu, Xiaojun Wu, Dixiang Zhang, Kunhao Pan, Ping Yang, Qi Yang, Jiaxing Zhang, Yan Song

CoRR, 2023

2022

Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence.

Junjie Wang, Yuxiang Zhang, Lin Zhang, Ping Yang, Xinyu Gao, Ziwei Wu, Xiaoqun Dong, Junqing He, Jianheng Zhuo, Qi Yang, Yongfeng Huang, Xiayu Li, Yanghan Wu, Junyu Lu, Xinyu Zhu, Weifeng Chen, Ting Han, Kunhao Pan, Rui Wang, Hao Wang, Xiaojun Wu, Zhongshen Zeng, Chongpei Chen, Ruyi Gan, Jiaxing Zhang

CoRR, 2022

Training Fair Deep Neural Networks by Balancing Influence.

Haonan Wang, Ziwei Wu, Jingrui He

CoRR, 2022

Deep Active Learning by Leveraging Training Dynamics.

Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fairness-aware Model-agnostic Positive and Unlabeled Learning.

Ziwei Wu, Jingrui He

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective.

Ping Yang, Junjie Wang, Ruyi Gan, Xinyu Zhu, Lin Zhang, Ziwei Wu, Xinyu Gao, Jiaxing Zhang, Tetsuya Sakai

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Mimicry: Genetic-algorithm-based Real-time System of Virtual Insects in a Living Environment-A New and Altered Nature.

Ziwei Wu, Lingdong Huang

Proc. ACM Comput. Graph. Interact. Tech., 2021

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.

Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Invisible War: An audio visual installation with laser light and Twitter API data.

Ziwei Wu, Shuai Xu, Yingyi Wang

Proceedings of the Electronic Visualisation and the Arts, 2021

2020

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.

Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He

CoRR, 2020

Blind Super-Resolution with Kernel-Aware Feature Refinement.

Ziwei Wu, Yao Lu, Gongping Li, Shunzhou Wang, Xuebo Wang, Zijian Wang

Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Semi-Blind Super-Resolution with Kernel-Guided Feature Modification.

Gongping Li, Yao Lu, Lihua Lu, Ziwei Wu, Xuebo Wang, Shunzhou Wang

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

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.

Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework.

Nathan L. Henderson, Vikram Kumara, Wookhee Min, Bradford W. Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

Predicting Challenge Outcomes for Students in a Digital Game for Learning Genetics.

Ziwei Wu, Bradford W. Mott, Wookhee Min, Robert Taylor, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester

Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019

2018

Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.

Sebastian Milde, Annika Liebgott, Ziwei Wu, Wenyi Feng, Jiahuan Yang, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang, Thomas Kustner

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

A distributed real-time data prediction framework for large-scale time-series data using stream processing.

Kehe Wu, Yayun Zhu, Quan Li, Ziwei Wu

Int. J. Intell. Comput. Cybern., 2017

Parallel multiple instance learning for extremely large histopathology image analysis.

Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric I-Chao Chang

BMC Bioinform., 2017