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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
- Hailin Hu 0001
— North China Electric Power University, Beijing, China
- Hailin Hu 0003
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2020 – today
- 2024
- [i10]Yehui Tang, Yunhe Wang, Jianyuan Guo
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
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
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
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
DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding. CoRR abs/2008.04548 (2020)
2010 – 2019
- 2019
- [j5]Hailin Hu
DeepHINT: understanding HIV-1 integration via deep learning with attention. Bioinform. 35(10): 1660-1667 (2019) - [j4]Yan Hu, Ziqiang Wang
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
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
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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