Mingli Song

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