Ziyang Wu

According to our database, Ziyang Wu authored at least 25 papers between 2019 and 2024.

Collaborative distances:

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

2024

When Do We Not Need Larger Vision Models?

Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell

CoRR, 2024

2023

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma

CoRR, 2023

Emergence of Segmentation with Minimalistic White-Box Transformers.

Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma

CoRR, 2023

Cloud Computing Product Service Scheme Recommendation System Based on a Hierarchical Knowledge Graph.

Shulin Xu, Ziyang Wu, Chunyu Shi, Mengyu Sun

IEEE Access, 2023

Gaussian-Based 3D-IoU for Multi-Modal 3D Object Detection.

Ziyang Wu, Ziyu Wu

Proceedings of the 5th International Conference on Robotics, 2023

White-Box Transformers via Sparse Rate Reduction.

Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma

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

Incremental Learning of Structured Memory via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Instance-based 3D Anchor for Monocular 3D Object Detection.

Ziyu Wu, Ziyang Wu

Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

2022

CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction.

Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma

Entropy, 2022

A Review of Multitemporal and Multispatial Scales Photovoltaic Forecasting Methods.

Caicheng Liu, Ming Li, Yunjun Yu, Ziyang Wu, Hai Gong, Feier Cheng

IEEE Access, 2022

Application Identification under Multi-Service Integration Platform.

Ziyang Wu, Yi Xie

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network.

Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, Xianglong Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

How Low Can We Go: Trading Memory for Error in Low-Precision Training.

Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient Maximal Coding Rate Reduction by Variational Forms.

Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction.

Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma

CoRR, 2021

A Light-Weight Scheme for Detecting Component Structure of Network Traffic.

Zihui Wu, Yi Xie, Ziyang Wu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

Incremental Learning via Rate Reduction.

Ziyang Wu, Christina Baek, Chong You, Yi Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Can We Characterize Tasks Without Labels or Features?

Bram Wallace, Ziyang Wu, Bharath Hariharan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

TenIPS: Inverse Propensity Sampling for Tensor Completion.

Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization.

Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell

CoRR, 2020

A Novel Impedance-Network-Based Electric Spring.

Guidong Zhang, Ziyang Wu, Samson Shenglong Yu, Yun Zhang

IEEE Access, 2020

AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space.

Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results.

Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou

CoRR, 2019

AI-based software-defined virtual network function scheduling with delay optimization.

Dan Liao, Yulong Wu, Ziyang Wu, Zeyuan Zhu, Wanting Zhang, Gang Sun, Victor Chang

Clust. Comput., 2019

PARN: Position-Aware Relation Networks for Few-Shot Learning.

Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019