Jiakang Yuan

Orcid: 0009-0006-6651-4356

According to our database1, Jiakang Yuan authored at least 25 papers between 2022 and 2025.

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

Timeline

Legend:

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Bibliography

2025
SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Sequential Token Merging: Revisiting Hidden States.
CoRR, September, 2025

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs.
CoRR, May, 2025

NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification.
CoRR, May, 2025

OmniCaptioner: One Captioner to Rule Them All.
CoRR, April, 2025

Consistency-aware Self-Training for Iterative-based Stereo Matching.
CoRR, March, 2025

Lumina-Image 2.0: A Unified and Efficient Image Generative Framework.
CoRR, March, 2025

Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models.
CoRR, March, 2025

Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback.
CoRR, January, 2025

Learnable Bi-directional Data Augmentation for few-shot cross-domain point cloud classification.
Neurocomputing, 2025

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Consistency-aware Self-Training for Iterative-based Stereo Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

All-in-One: Transferring Vision Foundation Models into Stereo Matching.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reg-TTA3D: Better Regression Makes Better Test-Time Adaptive 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving.
CoRR, 2023

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation.
CoRR, 2022

Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022


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