Hailin Hu

Orcid: 0000-0002-5768-4437

Affiliations:

Huawei Technologies, Shenzhen, China
Tsinghua University, School of Medicine, Beijing, China (former)

According to our database¹, Hailin Hu authored at least 32 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

C-MOP: Integrating Momentum and Boundary-Aware Clustering for Enhanced Prompt Evolution.

[BibT_eX]

[DOI]

CoRR, February, 2026

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Lossless Ultimate Vision Token Compression for VLMs.

[BibT_eX]

[DOI]

CoRR, December, 2025

Positional Preservation Embedding for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition.

[BibT_eX]

[DOI]

CoRR, May, 2025

Transferable text data distillation by trajectory matching.

[BibT_eX]

[DOI]

CoRR, April, 2025

Saliency-driven Dynamic Token Pruning for Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video.

[BibT_eX]

[DOI]

CoRR, January, 2025

From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Omni-Dimensional Frequency Learner for General Time Series Analysis.

[BibT_eX]

[DOI]

Xianing Chen

Hanting Chen

Hailin Hu

CoRR, 2024

A Survey on Transformer Compression.

[BibT_eX]

[DOI]

CoRR, 2024

2023

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation.

[BibT_eX]

[DOI]

CoRR, 2023

GenDet: Towards Good Generalizations for AI-Generated Image Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Data-Free Distillation of Language Model by Text-to-Text Transfer.

[BibT_eX]

[DOI]

CoRR, 2023

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Less is More: Focus Attention for Efficient DETR.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy.

[BibT_eX]

[DOI]

Haonan Lu

Hailin Hu

Xiaodong Lin

Neurocomputing, 2022

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

How Well Self-Supervised Pre-Training Performs with Streaming Data?

[BibT_eX]

[DOI]

CoRR, 2021

Riboexp: an interpretable reinforcement learning framework for ribosome density modeling.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

2020

DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Haonan Lu

Hailin Hu

CoRR, 2020

Secure multiparty computation for privacy-preserving drug discovery.

[BibT_eX]

[DOI]

Bioinform., 2020

DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

Hailin Hu

MingJian Tang

Chengcheng Bai

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

DeepCPI: A Deep Learning-based Framework for Large-scale <i>in silico</i> Drug Screening.

[BibT_eX]

[DOI]

Genom. Proteom. Bioinform., 2019

DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

DeepHINT: understanding HIV-1 integration via deep learning with attention.

[BibT_eX]

[DOI]

Bioinform., 2019

ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks.

[BibT_eX]

[DOI]

Bioinform., 2019

2017

TITER: predicting translation initiation sites by deep learning.

[BibT_eX]

[DOI]

Bioinform., 2017

ROSE: A Deep Learning Based Framework for Predicting Ribosome Stalling.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2017

Hailin Hu

Timeline

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