Bo Jiang

55 papers · 2008–2026 · 14 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (23) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🏃 Academic Marathon (17) 🏆 Grand Slam ⚡ Prolific Year (6) 🔥 Unstoppable (10) 💎 Century Club (51) 📈 Trend Setter 🗃️ Keyword Collector (246) 🚀 Conference Pioneer

Conferences

CVPR (11) AAAI (9) ICML (7) NIPS (6) IJCAI (5) JMLR (3) MICCAI (3) ACL (2) COLT (2) ICCV (2) ICLR (2) AISTATS (1) ECCV (1) EMNLP (1)

Top co-authors

Jin Tang (8) Xiao Wang (7) Shuai Li (6) Ruofeng Yang (5) Bin Luo (5) Yonghong Tian (4) Qian Zhang (4) Chris Ding (4) Zhengping Che (3) Ying Zhang (3)

Research topics

Linguistics (1) Privacy (1)

Keywords

large language model (5) autonomous driving (5) multi-modal learning (4) representation learning (4) event camera (4) diffusion model (3) contrastive learning (3) convex optimization (3) graph neural network (3) generative model (2) image denoising (2) semi-supervised learning (2) visual tracking (2) few-shot learning (2) iteration complexity (2) object tracking (2) object detection (2) combinatorial optimization (2) graph matching (2) knowledge distillation (2)

Papers

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