Jinpeng Li

Orcid: 0000-0003-1752-8883

Affiliations:
  • Inception Institute of Artificial Intelligence, IIAI, Abu Dhabi, UAE


According to our database1, Jinpeng Li authored at least 32 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition.
CoRR, May, 2025

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity.
CoRR, May, 2025

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs.
CoRR, May, 2025

Medical Large Vision Language Models with Multi-Image Visual Ability.
CoRR, May, 2025

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs.
CoRR, May, 2025

Multi-Scale Spatio-Temporal Transformer-Based Imbalanced Longitudinal Learning for Glaucoma Forecasting From Irregular Time Series Images.
IEEE J. Biomed. Health Informatics, April, 2025

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs.
CoRR, April, 2025

MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models.
CoRR, February, 2025

Gated-GPS: enhancing protein-protein interaction site prediction with scalable learning and imbalance-aware optimization.
Briefings Bioinform., 2025

2024
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation.
Medical Image Anal., 2024

SFANet: Spatial-Frequency Attention Network for Weather Forecasting.
CoRR, 2024

Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes.
Proceedings of the 35th British Machine Vision Conference, 2024

SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning.
Proceedings of the 35th British Machine Vision Conference, 2024

PointPatchMix: Point Cloud Mixing with Patch Scoring.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Efficient Person Search: An Anchor-Free Approach.
Int. J. Comput. Vis., July, 2023

3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation.
CoRR, 2023

Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Urban scene based Semantical Modulation for Pedestrian Detection.
Neurocomputing, 2022

Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond.
CoRR, 2022

Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Exploring Visual Context for Weakly Supervised Person Search.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Efficient Person Search: An Anchor-Free Approach.
CoRR, 2021

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers.
CoRR, 2021

Local-to-Global Self-Attention in Vision Transformers.
CoRR, 2021

Exploring Visual Context for Weakly Supervised Person Search.
CoRR, 2021

When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model.
CoRR, 2021

Anchor-Free Person Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generalizable Pedestrian Detection: The Elephant in the Room.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Pedestrian Detection: The Elephant In The Room.
CoRR, 2020

Box Guided Convolution for Pedestrian Detection.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020


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