Jingyao Li

Orcid: 0000-0002-5121-1153

Affiliations:
  • Chinese University of Hong Kong (CUHK), Department of Computer Science and Engineering, Sha Tin, Hong Kong


According to our database1, Jingyao Li authored at least 25 papers between 2023 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
DreamOmni3: Scribble-based Editing and Generation.
CoRR, December, 2025

VLPose: Bridging the Domain Gap in Pose Estimation With Language-Vision Tuning.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

DreamOmni2: Multimodal Instruction-based Editing and Generation.
CoRR, October, 2025

MGM-Omni: Scaling Omni LLMs to Personalized Long-Horizon Speech.
CoRR, September, 2025

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models.
CoRR, June, 2025

LYRA: An Efficient and Speech-Centric Framework for Omni-Cognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Logits-Based Finetuning.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VisionZip: Longer is Better but Not Necessary in Vision Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DreamOmni: Unified Image Generation and Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

QuickLLaMA: Query-aware Inference Acceleration for Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
MOODv2: Masked Image Modeling for Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

BAL: Balancing Diversity and Novelty for Active Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models.
CoRR, 2024

QuickLLaMA: Query-aware Inference Acceleration for Large Language Models.
CoRR, 2024

RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models.
CoRR, 2024

CAPE: Context-Adaptive Positional Encoding for Length Extrapolation.
CoRR, 2024

VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning.
CoRR, 2024

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks.
CoRR, 2023

TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation.
CoRR, 2023

Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


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