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ORCIDZiwei Wu
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2020 – today
- 2024
[j7]Bao Liu, Ziwei Wu, Xuchen Li:
MSADRCN: meta-learning based joint super-resolution fusion of infrared and visible images. Multim. Syst. 30(5): 288 (2024)- [j6]Ziwei Wu, Tong Jia
, Yunhe Wu, Zhikang Zeng, Feng Liang:
Bmsmlet: boosting multi-scale information on multi-level aggregated features for salient object detection. Vis. Comput. 40(2): 1131-1144 (2024) - [j5]Qingao Huo, Wendong Zhang, Ziwei Wu, Guochang Song, Bo Wang:
Collaborative Offloading Strategy for Dependent Tasks in Mobile Edge Computing. Wirel. Pers. Commun. 134(1): 267-292 (2024) - [c13]Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He:
Neural Active Learning Beyond Bandits. ICLR 2024 - [c12]Haonan Wang, Ziwei Wu, Jingrui He:
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes. WSDM 2024: 721-730 - [i11]Xiaojun Wu, Dixiang Zhang, Ruyi Gan, Junyu Lu, Ziwei Wu, Renliang Sun, Jiaxing Zhang, Pingjian Zhang, Yan Song:
Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support. CoRR abs/2401.14688 (2024) - [i10]Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He:
Neural Active Learning Beyond Bandits. CoRR abs/2404.12522 (2024) - [i9]Ziwei Wu, Lecheng Zheng, Yuancheng Yu, Ruizhong Qiu, John R. Birge, Jingrui He:
Fair Anomaly Detection For Imbalanced Groups. CoRR abs/2409.10951 (2024) - 2023
- [j4]Ziwei Wu, Fang Xia, Suyin Zhou, Dayu Xu:
A method for identifying grape stems using keypoints. Comput. Electron. Agric. 209: 107825 (2023) - [i8]Ruyi Gan, Ziwei Wu, Renliang Sun, Junyu Lu, Xiaojun Wu, Dixiang Zhang, Kunhao Pan, Ping Yang, Qi Yang, Jiaxing Zhang, Yan Song:
Ziya2: Data-centric Learning is All LLMs Need. CoRR abs/2311.03301 (2023) - [i7]Ruyi Gan, Xiaojun Wu, Junyu Lu, Yuanhe Tian, Dixiang Zhang, Ziwei Wu, Renliang Sun, Chang Liu, Jiaxing Zhang, Pingjian Zhang, Yan Song:
iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design. CoRR abs/2312.04326 (2023) - [i6]Junyu Lu, Ruyi Gan, Dixiang Zhang, Xiaojun Wu, Ziwei Wu, Renliang Sun, Jiaxing Zhang, Pingjian Zhang, Yan Song:
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects. CoRR abs/2312.05278 (2023) - 2022
- [c11]Ping Yang, Junjie Wang, Ruyi Gan, Xinyu Zhu, Lin Zhang, Ziwei Wu, Xinyu Gao, Jiaxing Zhang, Tetsuya Sakai:
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective. EMNLP 2022: 7042-7055 - [c10]Ziwei Wu, Jingrui He:
Fairness-aware Model-agnostic Positive and Unlabeled Learning. FAccT 2022: 1698-1708 - [c9]Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. NeurIPS 2022 - [i5]Haonan Wang, Ziwei Wu, Jingrui He:
Training Fair Deep Neural Networks by Balancing Influence. CoRR abs/2201.05759 (2022) - [i4]Ziwei Wu, Jingrui He:
Fairness-aware Model-agnostic Positive and Unlabeled Learning. CoRR abs/2206.09346 (2022) - [i3]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:
Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence. CoRR abs/2209.02970 (2022) - [i2]Ping Yang, Junjie Wang, Ruyi Gan, Xinyu Zhu, Lin Zhang, Ziwei Wu, Xinyu Gao, Jiaxing Zhang, Tetsuya Sakai:
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective. CoRR abs/2210.08590 (2022) - 2021
- [j3]Ziwei Wu, Lingdong Huang:
Mimicry: Genetic-algorithm-based Real-time System of Virtual Insects in a Living Environment-A New and Altered Nature. Proc. ACM Comput. Graph. Interact. Tech. 4(2): 28:1-28:8 (2021) - [c8]Ziwei Wu, Shuai Xu, Yingyi Wang:
Invisible War: An audio visual installation with laser light and Twitter API data. EVA 2021 - [c7]Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He:
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. KDD 2021: 1791-1800 - 2020
- [c6]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:
Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework. EDM 2020 - [c5]Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang:
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM 2020: 661-670 - [c4]Gongping Li, Yao Lu, Lihua Lu, Ziwei Wu, Xuebo Wang, Shunzhou Wang:
Semi-Blind Super-Resolution with Kernel-Guided Feature Modification. ICME Workshops 2020: 1-6 - [c3]Ziwei Wu, Yao Lu, Gongping Li, Shunzhou Wang, Xuebo Wang, Zijian Wang:
Blind Super-Resolution with Kernel-Aware Feature Refinement. PRCV (1) 2020: 65-78 - [i1]Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He:
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. CoRR abs/2010.15363 (2020)
2010 – 2019
- 2019
- [c2]Ziwei Wu, Bradford W. Mott, Wookhee Min, Robert Taylor, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester:
Predicting Challenge Outcomes for Students in a Digital Game for Learning Genetics. EDM (Workshops) 2019: 51-59 - 2018
- [c1]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:
Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging. APSIPA 2018: 838-847 - 2017
- [j2]Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric I-Chao Chang:
Parallel multiple instance learning for extremely large histopathology image analysis. BMC Bioinform. 18(1): 360 (2017) - [j1]Kehe Wu, Yayun Zhu, Quan Li, Ziwei Wu:
A distributed real-time data prediction framework for large-scale time-series data using stream processing. Int. J. Intell. Comput. Cybern. 10(2): 145-165 (2017)
Coauthor Index
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last updated on 2024-10-16 21:26 CEST by the dblp team
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