Miao Zhang

DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation AAAI 2026 Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention ACL 2026 Identity-Robust Language Model Generation via Content Integrity Preservation ACL 2026 KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing AAAI 2026 MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering AAAI 2026 MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment AAAI 2026 SAM3-I: Segment Anything with Instructions ACL 2026 TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models CVPR 2026 Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds CVPR 2026 AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration ACL 2025 AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration EMNLP 2025 APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty AAAI 2025 ArchiSet: Benchmarking Editable and Consistent Single-View 3D Reconstruction of Buildings with Specific Window-to-Wall Ratios ICCV 2025 CARD: Cross-modal Agent Framework for Generative and Editable Residential Design EMNLP 2025 Common Sense Bias Modeling for Classification Tasks AAAI 2025 Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation CVPR 2025 DefMamba: Deformable Visual State Space Model CVPR 2025 DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning IJCAI 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025 EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography MICCAI 2025 Enhancing Diversity for Data-free Quantization CVPR 2025 FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers ICCV 2025 FloorPlan-LLaMa: Aligning Architects’ Feedback and Domain Knowledge in Architectural Floor Plan Generation ACL 2025 Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization AAAI 2025 PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025 Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Interspeech 2025 Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters ICML 2025 Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025 AFBench: A Large-scale Benchmark for Airfoil Design NeurIPS 2024 CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation MICCAI 2024 Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation ACL 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024 LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024 Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking ACL 2024 Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization NeurIPS 2024 GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels NeurIPS 2023 Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data NeurIPS 2023 Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation ECCV 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering EMNLP 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations NeurIPS 2022 Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels NeurIPS 2022 Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract) AAAI 2022 Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective ICLR 2022 Weighted Mutual Learning with Diversity-Driven Model Compression NeurIPS 2022 Calibrated RGB-D Salient Object Detection CVPR 2021 Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection ICCV 2021 iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients ICML 2021 Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection NeurIPS 2021 MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection ICCV 2021 A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection CVPR 2020 Accurate RGB-D Salient Object Detection via Collaborative Learning ECCV 2020 Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection ECCV 2020 Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement NeurIPS 2020 Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection AAAI 2020 One-Shot Neural Architecture Search via Novelty Driven Sampling IJCAI 2020 Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization CVPR 2020 Select, Supplement and Focus for RGB-D Saliency Detection CVPR 2020 Deep Light-field-driven Saliency Detection from a Single View IJCAI 2019 Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection ICCV 2019 High Dimensional Bayesian Optimization via Supervised Dimension Reduction IJCAI 2019 Memory-oriented Decoder for Light Field Salient Object Detection NeurIPS 2019 Robust Tucker Tensor Decomposition for Effective Image Representation ICCV 2013