Ziyang Wu

54 papers A* 13A 1B 1C 1Misc 1Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mixgaze: a dually supervised mixed attention network for gaze estimation.
Multim. Syst.
Ziyang Wu, Yin Lin, Hu Cheng, Caihua Kong, Wengang Zhou, Houqiang Li
2025 J jnl
BlueLM-2.5-3B Technical Report.
CoRR
Baojiao Xiong, Boheng Chen, Chengzhi Wang, Daxiong Luo, Dongsheng Xu, Dongyang Liu, Fan Yang, Fangyuan Li, Fei Teng, Feng Wang, Fukang Qin, Fuquan Peng, Guanxin Tan, Guozhi Wang, Haibo Yu, Haohao Gao, Heng Liu, Hongbo Yang, Hongjian Zou, Houzheng Shen, Hu Meng, Huan Li, Hui Tan, Jiali Chen, Jianzhao Chen, Jinliang Zhu, Kai Wang, Lei Wu, Liangbing Liu, Liuyang Bian, Liyan He, Long Liu, Peiwen Li, Penggang Shi, Qi Ding, Rui Hu, Shuai Cao, Shuai Ren, Shuang Peng, Teng Xie, Weiji Chen, Weilin Xiang, Weixin Wu, Xi Yin, Xiaoxin Chen, Xu Chen, Yafei Wen, Yan Hu, Yanzhou Yang, Yina Xie, Yinghao Chen, Yixuan Liao, Yu Geng, Yuanjiang Ouyang, Yuanzhuo Yang, Yuehua He, Yushuai Peng, Zhaoxiong Wang, Zheng Wang, Zhibo Zhou, Ziyang Wu
2025 Misc conf
Efficient Fine-tuning Strategies for Enhancing Face Recognition Performance in Challenging Scenarios.
ICASSP
Yin Lin, Ziyang Wu, Qidong Huang, Xinran Liu, Baocai Yin, Jinshui Hu, Bing Yin, Zengfu Wang
2025 J jnl
Language-Image Alignment with Fixed Text Encoders.
CoRR
Jingfeng Yang, Ziyang Wu, Yue Zhao, Yi Ma
2025 B conf
Mixed Gamma Approximation for Check Node Updates in Density Evolution of LDPC Codes.
WCNC
Ziyang Wu, Jian Jiao, Yaosheng Zhang, Ke Zhang, Ye Wang, Qinyu Zhang
2025 J jnl
Multi-scale count-task guided feature enhancement face detection.
Multim. Syst.
Ziyang Wu, Yin Lin, Qidong Huang, Wengang Zhou, Houqiang Li
2025 J jnl
OTFS-Based Super Resolution Channel Estimation in Multisatellite Coordinated Transmission.
IEEE Internet Things J.
Cheng Guo, Jian Jiao, Siyuan Bai, Ziyang Wu, Ye Wang, Qinyu Zhang
2025 J jnl
On deep CFR integrated with opponent model in imperfect information games.
Knowl. Based Syst.
Jiao Wang, Yun Li, Shanshan Niu, Ziyang Wu
2025 A* conf
Simplifying DINO via Coding Rate Regularization.
ICML
Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
2025 J jnl
Simplifying DINO via Coding Rate Regularization.
CoRR
Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
2025 A* conf
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction.
ICLR
Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele
2024 J jnl
A Survey of Foundation Models for Music Understanding.
CoRR
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
2024 — conf
Emergence of Segmentation with Minimalistic White-Box Transformers.
CPAL
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
2024 — conf
Event Modeling.
SIGGRAPH Asia Art Gallery
Mark Ramos, Ziyang Wu
2024 A* conf
LLoCO: Learning Long Contexts Offline.
EMNLP
Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa
2024 J jnl
LLoCO: Learning Long Contexts Offline.
CoRR
Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa
2024 A* conf
Masked Completion via Structured Diffusion with White-Box Transformers.
ICLR
Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma
2024 J jnl
Masked Completion via Structured Diffusion with White-Box Transformers.
CoRR
Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma
2024 J jnl
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction.
CoRR
Ziyang Wu, Fan Liu, Jindong Han, Yuxuan Liang, Hao Liu
2024 J jnl
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction.
CoRR
Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin D. Haeffele
2024 — conf
When Do We Not Need Larger Vision Models?
ECCV (8)
Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell
2024 J jnl
When Do We Not Need Larger Vision Models?
CoRR
Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell
2024 J jnl
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
J. Mach. Learn. Res.
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
2023 J jnl
Cloud Computing Product Service Scheme Recommendation System Based on a Hierarchical Knowledge Graph.
IEEE Access
Shulin Xu, Ziyang Wu, Chunyu Shi, Mengyu Sun
2023 J jnl
Emergence of Segmentation with Minimalistic White-Box Transformers.
CoRR
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
2023 — conf
Gaussian-Based 3D-IoU for Multi-Modal 3D Object Detection.
RICAI
Ziyang Wu, Ziyu Wu
2023 A* conf
Incremental Learning of Structured Memory via Closed-Loop Transcription.
ICLR
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
2023 — conf
Instance-based 3D Anchor for Monocular 3D Object Detection.
CSAI
Ziyu Wu, Ziyang Wu
2023 A* conf
White-Box Transformers via Sparse Rate Reduction.
NeurIPS
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
2023 J jnl
White-Box Transformers via Sparse Rate Reduction.
CoRR
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
2023 J jnl
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
CoRR
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
2022 J jnl
A Review of Multitemporal and Multispatial Scales Photovoltaic Forecasting Methods.
IEEE Access
Caicheng Liu, Ming Li, Yunjun Yu, Ziyang Wu, Hai Gong, Feier Cheng
2022 — conf
Application Identification under Multi-Service Integration Platform.
MSN
Ziyang Wu, Yi Xie
2022 J jnl
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction.
Entropy
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
2022 A* conf
Efficient Maximal Coding Rate Reduction by Variational Forms.
CVPR
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
2022 J jnl
Efficient Maximal Coding Rate Reduction by Variational Forms.
CoRR
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
2022 A* conf
Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network.
ACM Multimedia
Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, Xianglong Liu
2022 A* conf
How Low Can We Go: Trading Memory for Error in Low-Precision Training.
ICLR
Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell
2022 J jnl
Incremental Learning of Structured Memory via Closed-Loop Transcription.
CoRR
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
2021 C conf
A Light-Weight Scheme for Detecting Component Structure of Network Traffic.
PDCAT
Zihui Wu, Yi Xie, Ziyang Wu
2021 A* conf
Can We Characterize Tasks Without Labels or Features?
CVPR
Bram Wallace, Ziyang Wu, Bharath Hariharan
2021 J jnl
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction.
CoRR
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
2021 J jnl
How Low Can We Go: Trading Memory for Error in Low-Precision Training.
CoRR
Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell
2021 A* conf
Incremental Learning via Rate Reduction.
CVPR
Ziyang Wu, Christina Baek, Chong You, Yi Ma
2021 A conf
TenIPS: Inverse Propensity Sampling for Tensor Completion.
AISTATS
Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
2021 J jnl
TenIPS: Inverse Propensity Sampling for Tensor Completion.
CoRR
Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
2020 J jnl
A Novel Impedance-Network-Based Electric Spring.
IEEE Access
Guidong Zhang, Ziyang Wu, Samson Shenglong Yu, Yun Zhang
2020 A* conf
AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space.
KDD
Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell
2020 J jnl
Efficient AutoML Pipeline Search with Matrix and Tensor Factorization.
CoRR
Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell
2020 J jnl
Incremental Learning via Rate Reduction.
CoRR
Ziyang Wu, Christina Baek, Chong You, Yi Ma
2019 J jnl
AI-based software-defined virtual network function scheduling with delay optimization.
Clust. Comput.
Dan Liao, Yulong Wu, Ziyang Wu, Zeyuan Zhu, Wanting Zhang, Gang Sun, Victor Chang
2019 A* conf
PARN: Position-Aware Relation Networks for Few-Shot Learning.
ICCV
Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia
2019 J jnl
PARN: Position-Aware Relation Networks for Few-Shot Learning.
CoRR
Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia
2019 J jnl
WIDER Face and Pedestrian Challenge 2018: Methods and Results.
CoRR
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