Feilong Tang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2026
DermAgent: A Self-Reflective Agentic System for Dermatological Image Analysis with Multi-Tool Reasoning and Traceable Decision-Making.
CoRR, May, 2026
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development.
CoRR, March, 2026
Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding.
CoRR, March, 2026
OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence.
CoRR, February, 2026
PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics.
CoRR, January, 2026
SAM2-UNet: segment anything 2 makes strong encoder for natural and medical image segmentation.
Vis. Intell., 2026
Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation.
Proceedings of the ACM Web Conference 2026, 2026
CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process.
CoRR, November, 2025
CoRR, October, 2025
HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network.
CoRR, October, 2025
SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation.
CoRR, September, 2025
Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification.
IEEE J. Biomed. Health Informatics, August, 2025
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.
CoRR, August, 2025
NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding.
CoRR, August, 2025
CoRR, August, 2025
CoRR, August, 2025
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models.
CoRR, July, 2025
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning.
CoRR, June, 2025
CoRR, June, 2025
CoRR, June, 2025
Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities.
CoRR, June, 2025
TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification.
CoRR, May, 2025
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery.
CoRR, May, 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
CoRR, May, 2025
CoRR, April, 2025
CoRR, March, 2025
CoRR, March, 2025
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer.
CoRR, March, 2025
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations.
CoRR, January, 2025
Beyond Words: AuralLLM and SignMST-C for Precise Sign Language Production and Bidirectional Accessibility.
CoRR, January, 2025
Identification of Maize Diseases Based on Dynamic Convolution and Tri-Attention Mechanism.
IEEE Access, 2025
Game-Theoretic Optimization for Coalition-Based Intrusion Detection with Multi-Source Adaptive Dispatching.
Proceedings of the 44th International Symposium on Reliable Distributed Systems, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Genesis: A Large-Scale Benchmark for Multimodal Large Language Model in Emotional Causality Analysis.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-Ray Classification.
Proceedings of the IEEE International Conference on Big Data, 2025
PG-SAM: A Fine-Grained Prior-Guided SAM Framework for Prompt-Free Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations.
Proceedings of the IEEE International Conference on Advanced Visual and Signal-Based Systems, 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
CoRR, 2024
Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study.
CoRR, 2024
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification.
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022