Ziyang Wu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 35

Top Topics

Incremental Learning

Object Detection

Low Error Rates

Top Venues

Publications

Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma
Masked Completion via Structured Diffusion with White-Box Transformers. ICLR (2024)
Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa
LLoCO: Learning Long Contexts Offline. CoRR (2024)
Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell
When Do We Not Need Larger Vision Models? CoRR (2024)
Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma
Masked Completion via Structured Diffusion with White-Box Transformers. CoRR (2024)
Ziyu Wu, Ziyang Wu
Instance-based 3D Anchor for Monocular 3D Object Detection. CSAI (2023)
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
Incremental Learning of Structured Memory via Closed-Loop Transcription. ICLR (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? CoRR (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction. NeurIPS (2023)
Shulin Xu, Ziyang Wu, Chunyu Shi, Mengyu Sun
Cloud Computing Product Service Scheme Recommendation System Based on a Hierarchical Knowledge Graph. IEEE Access 11 (2023)
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR (2023)
Ziyang Wu, Ziyu Wu
Gaussian-Based 3D-IoU for Multi-Modal 3D Object Detection. RICAI (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction. CoRR (2023)
Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell
How Low Can We Go: Trading Memory for Error in Low-Precision Training. ICLR (2022)
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
Efficient Maximal Coding Rate Reduction by Variational Forms. CVPR (2022)
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
Incremental Learning of Structured Memory via Closed-Loop Transcription. CoRR (2022)
Caicheng Liu, Ming Li, Yunjun Yu, Ziyang Wu, Hai Gong, Feier Cheng
A Review of Multitemporal and Multispatial Scales Photovoltaic Forecasting Methods. IEEE Access 10 (2022)
Ziyang Wu, Yi Xie
Application Identification under Multi-Service Integration Platform. MSN (2022)
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
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy 24 (4) (2022)
Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, Xianglong Liu
Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network. ACM Multimedia (2022)
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR (2022)
Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell
How Low Can We Go: Trading Memory for Error in Low-Precision Training. CoRR (2021)
Ziyang Wu, Christina Baek, Chong You, Yi Ma
Incremental Learning via Rate Reduction. CVPR (2021)
Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
TenIPS: Inverse Propensity Sampling for Tensor Completion. CoRR (2021)
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
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR (2021)
Bram Wallace, Ziyang Wu, Bharath Hariharan
Can We Characterize Tasks Without Labels or Features? CVPR (2021)
Zihui Wu, Yi Xie, Ziyang Wu
A Light-Weight Scheme for Detecting Component Structure of Network Traffic. PDCAT (2021)
Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
TenIPS: Inverse Propensity Sampling for Tensor Completion. AISTATS (2021)
Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell
AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space. KDD (2020)
Guidong Zhang, Ziyang Wu, Samson Shenglong Yu, Yun Zhang
A Novel Impedance-Network-Based Electric Spring. IEEE Access 8 (2020)
Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell
Efficient AutoML Pipeline Search with Matrix and Tensor Factorization. CoRR (2020)
Ziyang Wu, Christina Baek, Chong You, Yi Ma
Incremental Learning via Rate Reduction. CoRR (2020)
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
WIDER Face and Pedestrian Challenge 2018: Methods and Results. CoRR (2019)
Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia
PARN: Position-Aware Relation Networks for Few-Shot Learning. ICCV (2019)
Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia
PARN: Position-Aware Relation Networks for Few-Shot Learning. CoRR (2019)
Dan Liao, Yulong Wu, Ziyang Wu, Zeyuan Zhu, Wanting Zhang, Gang Sun, Victor Chang
AI-based software-defined virtual network function scheduling with delay optimization. Clust. Comput. 22 (6) (2019)