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Hailin Hu 0002
Person information
- affiliation: Huawei Technologies, Shenzhen, China
- affiliation (former): Tsinghua University, School of Medicine, Beijing, China
Other persons with the same name
- Hailin Hu 0001
— North China Electric Power University, Beijing, China
- Hailin Hu 0003
— Jiangxi University of Science and Technology, Ganzhou, China (and 1 more)
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2020 – today
- 2024
- [i10]Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao:
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i9]Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu:
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. CoRR abs/2406.16531 (2024) - [i8]Xianing Chen, Hanting Chen, Hailin Hu:
Omni-Dimensional Frequency Learner for General Time Series Analysis. CoRR abs/2407.10419 (2024) - 2023
- [c5]Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang:
Less is More: Focus Attention for Efficient DETR. ICCV 2023: 6651-6660 - [c4]Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang:
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. NeurIPS 2023 - [i7]Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang:
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. CoRR abs/2306.08571 (2023) - [i6]Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang:
Less is More: Focus Attention for Efficient DETR. CoRR abs/2307.12612 (2023) - [i5]Zheyuan Bai, Xinduo Liu, Hailin Hu, Tianyu Guo, Qinghua Zhang, Yunhe Wang:
Data-Free Distillation of Language Model by Text-to-Text Transfer. CoRR abs/2311.01689 (2023) - [i4]Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang:
GenDet: Towards Good Generalizations for AI-Generated Image Detection. CoRR abs/2312.08880 (2023) - [i3]Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao:
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. CoRR abs/2312.17276 (2023) - 2022
- [j8]Haonan Lu, Hailin Hu, Xiaodong Lin
:
DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy. Neurocomputing 476: 115-125 (2022) - [c3]Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng:
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 - 2021
- [j7]Hailin Hu, Xianggen Liu, An Xiao, Yangyang Li, Chengdong Zhang, Tao Jiang
, Dan Zhao, Sen Song, Jianyang Zeng:
Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. Briefings Bioinform. 22(5) (2021) - [i2]Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng:
How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR abs/2104.12081 (2021) - 2020
- [j6]Rong Ma, Yi Li, Chenxing Li, Fangping Wan
, Hailin Hu
, Wei Xu, Jianyang Zeng:
Secure multiparty computation for privacy-preserving drug discovery. Bioinform. 36(9): 2872-2880 (2020) - [c2]Hailin Hu, MingJian Tang, Chengcheng Bai:
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation. CIKM 2020: 2061-2064 - [i1]Haonan Lu
, Hailin Hu:
DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding. CoRR abs/2008.04548 (2020)
2010 – 2019
- 2019
- [j5]Hailin Hu
, An Xiao, Sai Zhang
, Yangyang Li, Xuanling Shi, Tao Jiang
, Linqi Zhang, Lei Zhang
, Jianyang Zeng:
DeepHINT: understanding HIV-1 integration via deep learning with attention. Bioinform. 35(10): 1660-1667 (2019) - [j4]Yan Hu, Ziqiang Wang
, Hailin Hu
, Fangping Wan
, Lin Chen, Yuanpeng Xiong, Xiaoxia Wang, Dan Zhao, Weiren Huang, Jianyang Zeng:
ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks. Bioinform. 35(23): 4946-4954 (2019) - [j3]Hongfei Cui, Hailin Hu, Jianyang Zeng, Ting Chen:
DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data. BMC Bioinform. 20-S(24): 678 (2019) - [j2]Fangping Wan
, Yue Zhu
, Hailin Hu
, Antao Dai
, Xiaoqing Cai
, Ligong Chen
, Haipeng Gong
, Tian Xia
, Dehua Yang
, Ming-Wei Wang
, Jianyang Zeng
:
DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening. Genom. Proteom. Bioinform. 17(5): 478-495 (2019) - 2017
- [j1]Sai Zhang
, Hailin Hu, Tao Jiang
, Lei Zhang
, Jianyang Zeng:
TITER: predicting translation initiation sites by deep learning. Bioinform. 33(14): i234-i242 (2017) - [c1]Sai Zhang, Hailin Hu, Jingtian Zhou, Xuan He, Tao Jiang, Jianyang Zeng:
ROSE: A Deep Learning Based Framework for Predicting Ribosome Stalling. RECOMB 2017: 402-403
Coauthor Index
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last updated on 2024-08-16 19:27 CEST by the dblp team
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