Qinying Gu

Orcid: 0000-0002-8863-0810

According to our database1, Qinying Gu authored at least 27 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation.
CoRR, May, 2026

Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery.
CoRR, May, 2026

Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration.
CoRR, May, 2026

TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection.
CoRR, May, 2026

CFSM: A Novel Causal Feature Selection Module for Two-Dimensional Out-of-Distribution Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

NMRTrans: Structure Elucidation from Experimental NMR Spectra via Set Transformers.
CoRR, February, 2026

Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning.
CoRR, February, 2026

Visual Position Prompt for MLLM Based Visual Grounding.
IEEE Trans. Multim., 2026

2025
InfoBound: A Provable Information-Bounds Inspired Framework for Both OoD Generalization and OoD Detection.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Bayes-CAL: Robust Cross-Modal Alignment by Bayesian Approach for Few-Shot OoD Generalization.
Int. J. Comput. Vis., October, 2025

ΔEnergy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization.
CoRR, October, 2025

Learning Primitive Embodied World Models: Towards Scalable Robotic Learning.
CoRR, August, 2025

Human-centred design and fabrication of a wearable multimodal visual assistance system.
Nat. Mac. Intell., 2025

Δ Energy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Conformalized Causal Learning for Uncertainty-Aware Mineral Prospectivity Mapping.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Decision SpikeFormer: Spike-Driven Transformer for Decision Making.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
OoD-Control: Generalizing Control in Unseen Environments.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Vision-Language Alignment Learning Under Affinity and Divergence Principles for Few-Shot Out-of-Distribution Generalization.
Int. J. Comput. Vis., September, 2024

Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing.
CoRR, 2024

Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning.
CoRR, 2024

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Domain Invariant Learning for Gaussian Processes and Bayesian Exploration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024


  Loading...