← Authors

Bo Du

117 papers · 2017–2026 · 14 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (22) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (6) 🏠 Conference Loyalist (21) πŸ”¬ Deep Specialist (14) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam 🀝 Dynamic Duo (32) πŸ“ˆ Trend Setter ❓ The Questioner (3) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (58) πŸ’Ž Century Club (116)

Conferences

IJCAI (21) AAAI (17) CVPR (14) ACL (13) ICML (13) NIPS (11) ICCV (9) MICCAI (8) EMNLP (4) ECCV (2) ICLR (2) COLING (1) JMLR (1) NAACL (1)

Top co-authors

Dacheng Tao (32) Lefei Zhang (16) Juhua Liu (14) Mang Ye (14) Yong Luo (13) Wenke Huang (11) Liang Ding (11) Li Shen (10) Zengmao Wang (10) Jing Zhang (8)

Keywords

large language model (9) federated learning (6) semantic segmentation (6) person re-identification (5) image restoration (5) image segmentation (5) domain generalization (4) contrastive learning (4) model compression (4) graph neural network (4) attention mechanism (4) reinforcement learning (4) knowledge distillation (4) model architecture (4) domain adaptation (4) knowledge graph (4) scene text detection (3) feature alignment (3) representation learning (3) weakly supervised learning (3)

Papers

Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment AAAI 2026
GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention ICML 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning ACL 2025
Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models ACL 2025
DNASpeech: A Contextualized and Situated Text-to-Speech Dataset with Dialogues, Narratives and Actions ACL 2025
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient ACL 2025
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs’ Domain-specific Question-Answering Performance ACL 2025
Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment ACL 2025
CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V NAACL 2025
Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation MICCAI 2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025
Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification CVPR 2025
Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis MICCAI 2025
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning ICML 2025
Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference MICCAI 2025
Anatomy-Conserving Unpaired CBCT-to-CT Translation via SchrΓΆdinger Bridge MICCAI 2025
CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs ICCV 2025
Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings ICCV 2025
Rethink Sparse Signals for Pose-guided Text-to-image Generation ICCV 2025
Conditional Visual Autoregressive Modeling for Pathological Image Restoration ICCV 2025
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning ICML 2025
When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need ICML 2025
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling AAAI 2025
WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration AAAI 2025
Mesoscopic Insights: Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization AAAI 2025
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning AAAI 2025
Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillation IJCAI 2025
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph IJCAI 2025
Pixel-wise Divide and Conquer for Federated Vessel Segmentation IJCAI 2025
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion JMLR 2025
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making ICML 2025
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG ICML 2025
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names CVPR 2024
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation IJCAI 2024
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning NIPS 2024
Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model NIPS 2024
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization NIPS 2024
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification AAAI 2024
Cycle Self-Refinement for Multi-Source Domain Adaptation AAAI 2024
WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising MICCAI 2024
Revisiting Knowledge Distillation for Autoregressive Language Models ACL 2024
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models ACL 2024
ROSE Doesn’t Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding ACL 2024
Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning COLING 2024
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image MICCAI 2024
Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network MICCAI 2024
What If the Input is Expanded in OOD Detection? NIPS 2024
Improving Bird's Eye View Semantic Segmentation by Task Decomposition CVPR 2024
UniGS: Unified Representation for Image Generation and Segmentation CVPR 2024
All in One Framework for Multimodal Re-identification in the Wild CVPR 2024
Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning ECCV 2024
Shifted Autoencoders for Point Annotation Restoration in Object Counting ECCV 2024
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching NIPS 2024
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation MICCAI 2024
Online GNN Evaluation Under Test-time Graph Distribution Shifts ICLR 2024
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins NIPS 2024
Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning ICML 2024
Sparse is Enough in Fine-tuning Pre-trained Large Language Models ICML 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence ICML 2024
Imitation Learning from Purified Demonstrations ICML 2024
Self-Evolution Learning for Discriminative Language Model Pretraining ACL 2023
FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction ACL 2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023
Generating Dynamic Kernels via Transformers for Lane Detection ICCV 2023
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023
Token Contrast for Weakly-Supervised Semantic Segmentation CVPR 2023
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting CVPR 2023
Rethinking Federated Learning With Domain Shift: A Prototype View CVPR 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning AAAI 2023
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer AAAI 2023
AIMS: All-Inclusive Multi-Level Segmentation for Anything NIPS 2023
Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective NIPS 2023
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model NIPS 2023
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers ICML 2023
Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023
Federated Graph Semantic and Structural Learning IJCAI 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NIPS 2023
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023
Learn From Others and Be Yourself in Heterogeneous Federated Learning CVPR 2022
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition AAAI 2022
Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers CVPR 2022
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NIPS 2022
Multi-Marginal Contrastive Learning for Multi-Label Subcellular Protein Localization CVPR 2022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models EMNLP 2022
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control ICML 2022
Self-paced Supervision for Multi-source Domain Adaptation IJCAI 2022
Learning Visual Words for Weakly-Supervised Semantic Segmentation IJCAI 2021
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations IJCAI 2021
GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021
RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction AAAI 2021
Learning to Weight Imperfect Demonstrations ICML 2021
Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search ICCV 2021
Channel Augmented Joint Learning for Visible-Infrared Recognition ICCV 2021
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment ICCV 2021
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020
TextFuseNet: Scene Text Detection with Richer Fused Features IJCAI 2020
Recurrent Feature Reasoning for Image Inpainting CVPR 2020
Positive Unlabeled Learning with Class-prior Approximation IJCAI 2020
Tchebycheff Procedure for Multi-task Text Classification ACL 2020
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation IJCAI 2020
Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization IJCAI 2020
Compressed Self-Attention for Deep Metric Learning AAAI 2020
Temporal Network Embedding with High-Order Nonlinear Information AAAI 2020
MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting IJCAI 2019
Pseudo Supervised Matrix Factorization in Discriminative Subspace IJCAI 2019
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation AAAI 2019
Progressive Reconstruction of Visual Structure for Image Inpainting ICCV 2019
Fast Spatio-Temporal Residual Network for Video Super-Resolution CVPR 2019
Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure IJCAI 2019
R-SVM+: Robust Learning with Privileged Information IJCAI 2018
Matrix completion with Preference Ranking for Top-N Recommendation IJCAI 2018
Adaptive Manifold Regularized Matrix Factorization for Data Clustering IJCAI 2017
On Gleaning Knowledge from Multiple Domains for Active Learning IJCAI 2017