Yang Yang

DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance AAAI 2026 Experience Transfer for Multimodal LLM Agents in Minecraft Game CVPR 2026 From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation AAAI 2026 Lightweight LLM Agent Memory with Small Language Models ACL 2026 Seeing Beyond Illusion: Generalized and Efficient Mirror Detection AAAI 2026 Temporal Interaction in Spiking Transformers with Multi-Delay Mixer CVPR 2026 Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs AAAI 2026 BSO: Binary Spiking Online Optimization Algorithm ICML 2025 Binary Event-Driven Spiking Transformer IJCAI 2025 CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer AAAI 2025 Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy ICCV 2025 Implicit Counterfactual Learning for Audio-Visual Segmentation ICCV 2025 KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks ICLR 2025 KDA: Knowledge Diffusion Alignment with Enhanced Context for Video Temporal Grounding ICCV 2025 Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing AAAI 2025 Local Conditional Controlling for Text-to-Image Diffusion Models AAAI 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction IJCAI 2025 Multi-Label Node Classification with Label Influence Propagation ICLR 2025 Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment AAAI 2025 QP-SNN: Quantized and Pruned Spiking Neural Networks ICLR 2025 Quantized Spike-driven Transformer ICLR 2025 Spiking Vision Transformer with Saccadic Attention ICLR 2025 SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features IJCAI 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval AAAI 2024 An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing ACL 2024 Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments ICLR 2024 CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion AAAI 2024 CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis ICLR 2024 Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NeurIPS 2024 Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification NeurIPS 2024 DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection NeurIPS 2024 DWLR: Domain Adaptation under Label Shift for Wearable Sensor IJCAI 2024 Diffusion Models as Optimizers for Efficient Planning in Offline RL ECCV 2024 Disentangling Domain and General Representations for Time Series Classification IJCAI 2024 Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation NeurIPS 2024 Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants EMNLP 2024 Ensemble Diversity Facilitates Adversarial Transferability CVPR 2024 Exploring Correlations of Self-Supervised Tasks for Graphs ICML 2024 Extracting Training Data from Molecular Pre-trained Models NeurIPS 2024 Fast Updating Truncated SVD for Representation Learning with Sparse Matrices ICLR 2024 Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns AAAI 2024 Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance CoRL 2024 Independency Adversarial Learning for Cross-Modal Sound Separation AAAI 2024 InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks ICML 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models EMNLP 2024 Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks AAAI 2024 PowerPM: Foundation Model for Power Systems NeurIPS 2024 Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning ECCV 2024 ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding AAAI 2024 Spike-based Neuromorphic Model for Sound Source Localization NeurIPS 2024 Towards Fair Graph Federated Learning via Incentive Mechanisms AAAI 2024 United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NeurIPS 2024 Weakly-Supervised Mirror Detection via Scribble Annotations AAAI 2024 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NeurIPS 2023 Brant: Foundation Model for Intracranial Neural Signal NeurIPS 2023 DropMessage: Unifying Random Dropping for Graph Neural Networks AAAI 2023 Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement CVPR 2023 Multilateral Semantic Relations Modeling for Image Text Retrieval CVPR 2023 Non-Autoregressive Math Word Problem Solver with Unified Tree Structure EMNLP 2023 Non-Autoregressive Sentence Ordering EMNLP 2023 PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection NeurIPS 2023 Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023 Universal Prompt Tuning for Graph Neural Networks NeurIPS 2023 Unsupervised Sounding Pixel Learning EMNLP 2023 A Progressive Framework for Role-Aware Rumor Resolution COLING 2022 Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network IJCAI 2022 Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022 Can Abnormality be Detected by Graph Neural Networks? IJCAI 2022 DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection NeurIPS 2022 FORCE: A Framework of Rule-Based Conversational Recommender System AAAI 2022 TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval AAAI 2022 Unsupervised Adversarially Robust Representation Learning on Graphs AAAI 2022 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction ICLR 2021 Balanced Open Set Domain Adaptation via Centroid Alignment AAAI 2021 Integrating Pre-trained Model into Rule-based Dialogue Management AAAI 2021 Language Scaling for Universal Suggested Replies Model NAACL 2021 Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos CVPR 2021 BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment IJCAI 2020 CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language WACV 2020 Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification AAAI 2020 High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification CVPR 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets AAAI 2020 Universal Weighting Metric Learning for Cross-Modal Matching CVPR 2020 Color-Sensitive Person Re-Identification IJCAI 2019 From Zero-Shot Learning to Cold-Start Recommendation AAAI 2019 MR-NET: Exploiting Mutual Relation for Visual Relationship Detection AAAI 2019 RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment ICCV 2019 Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning CVPR 2017 A Unified Framework for Discrete Spectral Clustering IJCAI 2016 Learning Binary Codes for Maximum Inner Product Search ICCV 2015