Shuo Li

What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study AAAI 2026 Towards Long-window Anchoring in Vision-Language Model Distillation AAAI 2026 DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026 A Brain-Inspired Saliency Prediction Framework for Human-AI Cognitive Consistency in AIGC Content via Multi-Region Liquid Neurons AAAI 2026 Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation AAAI 2026 HTTrack: Learning to Perceive Targets via Historical Trajectories in Satellite Video Tracking AAAI 2026 Semantic Feature Purification for Adversarially-Aware RGB-T Tracking AAAI 2026 E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation MICCAI 2025 A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography AAAI 2025 DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation AAAI 2025 An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 Logits DeConfusion with CLIP for Few-Shot Learning CVPR 2025 Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network CVPR 2025 Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025 MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety EMNLP 2025 DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms EMNLP 2025 Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations EMNLP 2025 Neuromanifold-Regularized KANs for Shape-fair Feature Representations ICCV 2025 Knowledge-Guided Part Segmentation ICCV 2025 Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization ICCV 2025 Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision ICCV 2025 Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs ICLR 2025 Conformal Structured Prediction ICLR 2025 Improving Consistency Identification in Task-oriented Dialogue Through Multi-Agent Collaboration IJCAI 2025 Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays MICCAI 2025 Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis MICCAI 2025 Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition MICCAI 2025 Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation MICCAI 2025 RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning MICCAI 2025 Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem MICCAI 2025 Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment Prediction NAACL 2025 One-Shot Safety Alignment for Large Language Models via Optimal Dualization NIPS 2024 ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization AAAI 2024 MOMENT: A Family of Open Time-series Foundation Models ICML 2024 TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024 CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment MICCAI 2024 Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction MICCAI 2024 Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis MICCAI 2024 Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization MICCAI 2024 Energy-induced Explicit quantification for Multi-modality MRI fusion ECCV 2024 Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024 Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography MICCAI 2024 Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification IJCAI 2024 Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023 Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection AAAI 2023 Angelic Patches for Improving Third-Party Object Detector Performance CVPR 2023 CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision ICCV 2023 Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training CVPR 2023 Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space ECCV 2022 MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation IJCAI 2022 Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection AAAI 2022 PAC Confidence Predictions for Deep Neural Network Classifiers ICLR 2021 Safe Reinforcement Learning via Statistical Model Predictive Shielding RSS 2021 OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation AAAI 2020 EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis ECCV 2020 Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images ECCV 2020 Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis AAAI 2019 Learning Deep Match Kernels for Image-Set Classification CVPR 2017 Bi-Parameter Space Partition for Cost-Sensitive SVM IJCAI 2015 Supervised Descriptor Learning for Multi-Output Regression CVPR 2015