Miao Zhang
60 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (11)
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Conference Polyglot
(11)
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Academic Marathon
(12)
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Cross-Pollinator
(12)
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Dynamic Duo
(16)
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Keyword Champion
π§¬
Topic Evolution
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Grand Slam
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Unstoppable
(7)
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Trend Setter
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Century Club
(53)
ποΈ
Keyword Collector
(238)
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Prolific Year
(8)
π
Conference Pioneer
Conferences
CVPR (10)
NIPS (10)
AAAI (9)
ACL (9)
ICCV (6)
EMNLP (4)
IJCAI (4)
ECCV (3)
ICML (2)
MICCAI (2)
ICLR (1)
Top co-authors
Keywords
model compression
(9)
neural architecture search
(7)
large language model
(7)
salient object detection
(6)
knowledge distillation
(6)
convolutional neural network
(5)
graph neural network
(5)
knowledge graph
(4)
differentiable architecture search
(4)
depth estimation
(4)
attention mechanism
(4)
bayesian optimization
(3)
semantic segmentation
(3)
diffusion model
(3)
saliency detection
(3)
post-training quantization
(2)
one-shot learning
(2)
weight sharing
(2)
generative model
(2)
continual learning
(2)
Papers
MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment
AAAI 2026
SAM3-I: Segment Anything with Instructions
ACL 2026
Identity-Robust Language Model Generation via Content Integrity Preservation
ACL 2026
Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention
ACL 2026
MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering
AAAI 2026
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
AAAI 2026
KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing
AAAI 2026
EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography
MICCAI 2025
Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization
AAAI 2025
Common Sense Bias Modeling for Classification Tasks
AAAI 2025
APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty
AAAI 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
ACL 2025
FloorPlan-LLaMa: Aligning Architectsβ Feedback and Domain Knowledge in Architectural Floor Plan Generation
ACL 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
ACL 2025
Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation
CVPR 2025
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
CVPR 2025
DefMamba: Deformable Visual State Space Model
CVPR 2025
Enhancing Diversity for Data-free Quantization
CVPR 2025
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models
EMNLP 2025
CARD: Cross-modal Agent Framework for Generative and Editable Residential Design
EMNLP 2025
AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
EMNLP 2025
FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers
ICCV 2025
ArchiSet: Benchmarking Editable and Consistent Single-View 3D Reconstruction of Buildings with Specific Window-to-Wall Ratios
ICCV 2025
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
ICML 2025
DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning
IJCAI 2025
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
CVPR 2024
AFBench: A Large-scale Benchmark for Airfoil Design
NIPS 2024
Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation
ACL 2024
Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking
ACL 2024
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation
MICCAI 2024
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models
ACL 2024
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization
NIPS 2024
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
NIPS 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
NIPS 2023
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
CVPR 2022
Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation
ECCV 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
NIPS 2022
Weighted Mutual Learning with Diversity-Driven Model Compression
NIPS 2022
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract)
AAAI 2022
Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels
NIPS 2022
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
ICLR 2022
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection
ICCV 2021
Calibrated RGB-D Salient Object Detection
CVPR 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
ICML 2021
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
NIPS 2021
MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection
ICCV 2021
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization
CVPR 2020
Select, Supplement and Focus for RGB-D Saliency Detection
CVPR 2020
One-Shot Neural Architecture Search via Novelty Driven Sampling
IJCAI 2020
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement
NIPS 2020
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection
ECCV 2020
Accurate RGB-D Salient Object Detection via Collaborative Learning
ECCV 2020
Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection
AAAI 2020
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection
CVPR 2020
High Dimensional Bayesian Optimization via Supervised Dimension Reduction
IJCAI 2019
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
ICCV 2019
Deep Light-field-driven Saliency Detection from a Single View
IJCAI 2019
Memory-oriented Decoder for Light Field Salient Object Detection
NIPS 2019
Robust Tucker Tensor Decomposition for Effective Image Representation
ICCV 2013