← Authors

Mingli Song

117 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (25) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) 🏠 Conference Loyalist (22) πŸ”¬ Deep Specialist (18) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam 🀝 Dynamic Duo (48) πŸ“ˆ Trend Setter ❓ The Questioner (3) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (81) πŸ’Ž Century Club (115)

Conferences

AAAI (24) CVPR (24) IJCAI (17) NIPS (15) ICCV (11) ECCV (10) ICML (7) ICLR (5) COLT (2) JMLR (1) MICCAI (1)

Top co-authors

Jie Song (49) Xinchao Wang (39) Zunlei Feng (33) Dacheng Tao (16) Haofei Zhang (14) Mengqi Xue (12) Tongya Zheng (11) Jie Lei (11) Shunyu Liu (11) Jingwen Ye (10)

Research topics

Architectures (1) Privacy (1)

Keywords

knowledge distillation (23) model compression (16) graph neural network (11) transfer learning (10) convolutional neural network (8) adversarial learning (7) feature learning (6) zero-shot learning (5) weakly supervised learning (5) neural network (5) vision transformer (5) multi-task learning (5) semantic segmentation (5) few-shot learning (4) student model (4) diffusion model (4) representation learning (4) graph convolutional network (4) image classification (4) image generation (3)

Papers

Neural Graph Navigation for Intelligent Subgraph Matching AAAI 2026
D3-RSMDE: 40Γ— Faster and High-Fidelity Remote Sensing Monocular Depth Estimation AAAI 2026
Holistic Semantic Representation for Navigational Trajectory Generation AAAI 2025
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location AAAI 2025
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AAAI 2025
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection AAAI 2025
Association Pattern-enhanced Molecular Representation Learning AAAI 2025
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning AAAI 2025
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL AAAI 2025
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation CVPR 2025
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization JMLR 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025
DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation IJCAI 2025
Efficient Dynamic Graphs Learning with Refined Batch Parallel Training IJCAI 2025
VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting IJCAI 2025
Odyssey : Empowering Minecraft Agents with Open-World Skills IJCAI 2025
Revisiting Differentially Private Algorithms for Decentralized Online Learning ICML 2025
STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification ICML 2025
L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation ICML 2025
Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models ICML 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks ICLR 2025
Dataset Ownership Verification in Contrastive Pre-trained Models ICLR 2025
Boosting MLLM Reasoning with Text-Debiased Hint-GRPO ICCV 2025
CADP: Towards Better Centralized Learning for Decentralized Execution in MARL IJCAI 2025
Spatial-Temporal Forgery Trace based Forgery Image Identification ICCV 2025
Dataset Ownership Verification for Pre-trained Masked Models ICCV 2025
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios AAAI 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback NIPS 2024
Association Pattern-aware Fusion for Biological Entity Relationship Prediction NIPS 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024
LG-CAV: Train Any Concept Activation Vector with Language Guidance NIPS 2024
Vision Mamba Mender NIPS 2024
Transformer Doctor: Diagnosing and Treating Vision Transformers NIPS 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NIPS 2024
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks NIPS 2024
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks NIPS 2024
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation AAAI 2024
Sampling-Resilient Multi-Object Tracking AAAI 2024
On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024
Nearly Optimal Regret for Decentralized Online Convex Optimization COLT 2024
Training-Free Pretrained Model Merging CVPR 2024
E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation ECCV 2024
On the Evaluation Consistency of Attribution-based Explanations ECCV 2024
Dynamic Neural Response Tuning ICLR 2024
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems ICLR 2024
Non-stationary Online Convex Optimization with Arbitrary Delays ICML 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition IJCAI 2024
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing IJCAI 2024
Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis MICCAI 2024
ModelGiF: Gradient Fields for Model Functional Distance ICCV 2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent ICML 2023
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks ICCV 2023
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition AAAI 2023
Neural TSP Solver with Progressive Distillation AAAI 2023
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation CVPR 2023
A Loopback Network for Explainable Microvascular Invasion Classification CVPR 2023
How To Prevent the Continuous Damage of Noises To Model Training? CVPR 2023
Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting IJCAI 2023
Lookaround Optimizer: $k$ steps around, 1 step average NIPS 2023
Schema Inference for Interpretable Image Classification ICLR 2023
DepGraph: Towards Any Structural Pruning CVPR 2023
Improved Dynamic Regret for Online Frank-Wolfe COLT 2023
Slimmable Domain Adaptation CVPR 2022
Meta-Attention for ViT-Backed Continual Learning CVPR 2022
Comparison Knowledge Translation for Generalizable Image Classification IJCAI 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers AAAI 2022
Topology-aware Generalization of Decentralized SGD ICML 2022
Safe Distillation Box AAAI 2022
Learning Graph Neural Networks for Image Style Transfer ECCV 2022
Learning with Recoverable Forgetting ECCV 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection ECCV 2022
Attention Diversification for Domain Generalization ECCV 2022
Up to 100x Faster Data-Free Knowledge Distillation AAAI 2022
Label Matching Semi-Supervised Object Detection CVPR 2022
Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training CVPR 2022
Boundary Knowledge Translation based Reference Semantic Segmentation IJCAI 2021
Amalgamating Knowledge From Heterogeneous Graph Neural Networks CVPR 2021
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image ICCV 2021
Self-Born Wiring for Neural Trees ICCV 2021
Online Knowledge Distillation for Efficient Pose Estimation ICCV 2021
Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021
Track Without Appearance: Learn Box and Tracklet Embedding With Local and Global Motion Patterns for Vehicle Tracking ICCV 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data NIPS 2021
Progressive Network Grafting for Few-Shot Knowledge Distillation AAAI 2021
Visual Boundary Knowledge Translation for Foreground Segmentation AAAI 2021
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels AAAI 2021
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras CVPR 2021
Contrastive Model Invertion for Data-Free Knolwedge Distillation IJCAI 2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation IJCAI 2021
Tree-Like Decision Distillation CVPR 2021
Training Generative Adversarial Networks in One Stage CVPR 2021
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning ECCV 2020
Dynamic Instance Normalization for Arbitrary Style Transfer AAAI 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability CVPR 2020
Distilling Knowledge From Graph Convolutional Networks CVPR 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN CVPR 2020
Learning Propagation Rules for Attribution Map Generation ECCV 2020
Factorizable Graph Convolutional Networks NIPS 2020
One-sample Guided Object Representation Disassembling NIPS 2020
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers AAAI 2020
Amalgamating Knowledge towards Comprehensive Classification AAAI 2019
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation ICCV 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More CVPR 2019
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning IJCAI 2019
SPAGAN: Shortest Path Graph Attention Network IJCAI 2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers IJCAI 2019
An Online Intelligent Visual Interaction System IJCAI 2019
Deep Model Transferability from Attribution Maps NIPS 2019
Selective Zero-Shot Classification with Augmented Attributes ECCV 2018
Transductive Unbiased Embedding for Zero-Shot Learning CVPR 2018
Dual Swap Disentangling NIPS 2018
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields ECCV 2018
Semi-Supervised Coupled Dictionary Learning for Person Re-identification CVPR 2014
Weakly Supervised Multiclass Video Segmentation CVPR 2014
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013
Semi-supervised Node Splitting for Random Forest Construction CVPR 2013