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ORCIDZiyang Wu
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2020 – today
- 2025
[c19]Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele:
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. ICLR 2025- [i19]Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma:
Simplifying DINO via Coding Rate Regularization. CoRR abs/2502.10385 (2025) - 2024
- [c18]Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell:
When Do We Not Need Larger Vision Models? ECCV (8) 2024: 444-462 - [c17]Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa:
LLoCO: Learning Long Contexts Offline. EMNLP 2024: 17605-17621 - [c16]Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma:
Masked Completion via Structured Diffusion with White-Box Transformers. ICLR 2024 - [c15]Mark Ramos
, Ziyang Wu:
Event Modeling. SIGGRAPH Asia Art Gallery 2024: 6:1 - [i18]Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell:
When Do We Not Need Larger Vision Models? CoRR abs/2403.13043 (2024) - [i17]Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma:
Masked Completion via Structured Diffusion with White-Box Transformers. CoRR abs/2404.02446 (2024) - [i16]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 abs/2404.07979 (2024) - [i15]Wenjun Li, Ying Cai, Ziyang Wu, Wenyi Zhang, Yifan Chen, Rundong Qi, Mengqi Dong, Peigen Chen, Xiao Dong, Fenghao Shi, Lei Guo, Junwei Han, Bao Ge, Tianming Liu, Lin Gan, Tuo Zhang:
A Survey of Foundation Models for Music Understanding. CoRR abs/2409.09601 (2024) - [i14]Ziyang Wu, Fan Liu, Jindong Han, Yuxuan Liang, Hao Liu:
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction. CoRR abs/2409.15764 (2024) - [i13]Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin D. Haeffele:
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. CoRR abs/2412.17810 (2024) - 2023
- [j5]Shulin Xu, Ziyang Wu, Chunyu Shi, Mengyu Sun:
Cloud Computing Product Service Scheme Recommendation System Based on a Hierarchical Knowledge Graph. IEEE Access 11: 120541-120553 (2023) - [c14]Ziyu Wu, Ziyang Wu:
Instance-based 3D Anchor for Monocular 3D Object Detection. CSAI 2023: 228-232 - [c13]Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma:
Incremental Learning of Structured Memory via Closed-Loop Transcription. ICLR 2023 - [c12]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 - [c11]Ziyang Wu, Ziyu Wu:
Gaussian-Based 3D-IoU for Multi-Modal 3D Object Detection. RICAI 2023: 158-162 - [i12]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 abs/2306.01129 (2023) - [i11]Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma:
Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR abs/2308.16271 (2023) - [i10]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 abs/2311.13110 (2023) - 2022
- [j4]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: 35073-35093 (2022) - [j3]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): 456 (2022) - [c10]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: 490-498 - [c9]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 - [c8]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: 2012-2020 - [c7]Ziyang Wu, Yi Xie:
Application Identification under Multi-Service Integration Platform. MSN 2022: 859-864 - [i9]Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma:
Incremental Learning of Structured Memory via Closed-Loop Transcription. CoRR abs/2202.05411 (2022) - [i8]Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele:
Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR abs/2204.00077 (2022) - 2021
- [c6]Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell:
TenIPS: Inverse Propensity Sampling for Tensor Completion. AISTATS 2021: 3160-3168 - [c5]Ziyang Wu, Christina Baek, Chong You, Yi Ma:
Incremental Learning via Rate Reduction. CVPR 2021: 1125-1133 - [c4]Bram Wallace, Ziyang Wu, Bharath Hariharan:
Can We Characterize Tasks Without Labels or Features? CVPR 2021: 1245-1254 - [c3]Zihui Wu, Yi Xie, Ziyang Wu:
A Light-Weight Scheme for Detecting Component Structure of Network Traffic. PDCAT 2021: 27-35 - [i7]Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell:
TenIPS: Inverse Propensity Sampling for Tensor Completion. CoRR abs/2101.00323 (2021) - [i6]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 abs/2106.09686 (2021) - [i5]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 abs/2111.06636 (2021) - 2020
- [j2]Guidong Zhang, Ziyang Wu, Samson Shenglong Yu, Yun Zhang:
A Novel Impedance-Network-Based Electric Spring. IEEE Access 8: 129123-129135 (2020) - [c2]Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell:
AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space. KDD 2020: 1446-1456 - [i4]Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell:
Efficient AutoML Pipeline Search with Matrix and Tensor Factorization. CoRR abs/2006.04216 (2020) - [i3]Ziyang Wu, Christina Baek, Chong You, Yi Ma:
Incremental Learning via Rate Reduction. CoRR abs/2011.14593 (2020)
2010 – 2019
- 2019
- [j1]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): 13897-13909 (2019) - [c1]Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia:
PARN: Position-Aware Relation Networks for Few-Shot Learning. ICCV 2019: 6658-6666 - [i2]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 abs/1902.06854 (2019) - [i1]Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia:
PARN: Position-Aware Relation Networks for Few-Shot Learning. CoRR abs/1909.04332 (2019)
Coauthor Index
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