Tianming Liu
26 papers · 2010–2026 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (39) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Diamond 🐣 Hot Topic Early Bird
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Dynamic Duo
(11)
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Mega-Team · Legion
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Topic Evolution
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Grand Slam
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Conference Pioneer
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Renaissance Researcher
(6)
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Trend Setter
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Keyword Collector
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Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(8)
Computer Vision
(7)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Natural Language Processing
(4)
Domain-Specific
(4)
Models
(4)
Resources & Methods
(4)
Interdisciplinary
(3)
Analysis
(3)
Application Areas
(3)
Core Methods
(3)
Optimization & Theory
(3)
Keywords
medical imaging
(4)
vision transformer
(2)
sequence generation
(1)
scene classification
(1)
feature learning
(1)
self-attention mechanism
(1)
visual saliency
(1)
attention mechanism
(1)
fairness
(1)
neural encoding
(1)
brain connectivity
(1)
neuroimaging
(1)
object detection
(1)
video generation
(1)
robustness
(1)
representation learning
(1)
truthfulness
(1)
multimodal learning
(1)
model compression
(1)
functional connectivity
(1)
Papers
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
AAAI 2026
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging
AAAI 2026
Empirical Analysis of Decoding Biases in Masked Diffusion Models
ACL 2026
A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features
MICCAI 2025
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
MICCAI 2025
Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
MICCAI 2025
ECHOPulse: ECG Controlled Echocardio-gram Video Generation
ICLR 2025
EndoGen: Conditional Autoregressive Endoscopic Video Generation
MICCAI 2025
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization
EMNLP 2025
Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences
MICCAI 2025
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
MICCAI 2025
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution
MICCAI 2024
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
MICCAI 2024
Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model
MICCAI 2024
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
NeurIPS 2024
F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
MICCAI 2024
Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
MICCAI 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
NeurIPS 2024
CDA: A Contrastive Data Augmentation Method for Alzheimer’s Disease Detection
ACL 2023
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
AAAI 2023
Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding
ACL 2023
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition
IJCAI 2022
Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification
CVPR 2015
Predicting Eye Fixations Using Convolutional Neural Networks
CVPR 2015
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles
NeurIPS 2010