Bo Jiang

STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models AAAI 2026 GARNET: GoT-Based Alert Reduction and Narrative Event Tracing AAAI 2026 Sentient: Detecting APTs via Capturing Indirect Dependencies and Behavioral Logic AAAI 2026 When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework AAAI 2026 CALM: Consensus-Aware Localized Merging for Multi-Task Learning ICML 2025 LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data AAAI 2025 Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models ACL 2025 That doesn’t sound right: Evaluating speech transcription quality in field linguistics corpora ACL 2025 The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers AISTATS 2025 SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease MICCAI 2025 Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos MICCAI 2025 TreeKV: Smooth Key-Value Cache Compression with Tree Structures IJCAI 2025 GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving CVPR 2025 CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset CVPR 2025 Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset CVPR 2025 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving CVPR 2025 A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality EMNLP 2025 TODO: Enhancing LLM Alignment with Ternary Preferences ICLR 2025 Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme ICML 2025 Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge ICML 2025 QFormer: An Efficient Quaternion Transformer for Image Denoising IJCAI 2024 Implicit Prompt Learning for Image Denoising IJCAI 2024 Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline CVPR 2024 Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models NIPS 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NIPS 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality NIPS 2024 In-context Learning on Function Classes Unveiled for Transformers ICML 2024 AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking NIPS 2024 Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction ECCV 2024 MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction MICCAI 2024 Volterra Neural Networks (VNNs) JMLR 2024 HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors AAAI 2024 Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity ICML 2024 Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NIPS 2023 VAD: Vectorized Scene Representation for Efficient Autonomous Driving ICCV 2023 Prediction with Incomplete Data under Agnostic Mask Distribution Shift IJCAI 2023 Online Restless Bandits with Unobserved States ICML 2023 Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection CVPR 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022 Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark CVPR 2021 Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning ICCV 2021 Generative Attention Networks for Multi-Agent Behavioral Modeling AAAI 2020 DSINE: Deep Structural Influence Learning via Network Embedding AAAI 2019 Semi-Supervised Learning With Graph Learning-Convolutional Networks CVPR 2019 An Optimal High-Order Tensor Method for Convex Optimization COLT 2019 Data Representation and Learning With Graph Diffusion-Embedding Networks CVPR 2019 MisGAN: Learning from Incomplete Data with Generative Adversarial Networks ICLR 2019 Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives COLT 2019 Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series ICML 2018 Binary Constraint Preserving Graph Matching CVPR 2017 Graph Matching via Multiplicative Update Algorithm NIPS 2017 Robust Out-of-Sample Data Recovery IJCAI 2016 Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013 Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008