← Authors

Mingbao Lin

34 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (45) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (22) πŸ† Keyword Champion πŸ’Ž Century Club (33) πŸ—ƒοΈ Keyword Collector (118) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸš€ Conference Pioneer

Conferences

AAAI (8) ECCV (6) CVPR (5) ICCV (4) ICLR (3) ICML (3) EMNLP (2) NIPS (2) IJCAI (1)

Top co-authors

Rongrong Ji (22) Fei Chao (10) Baochang Zhang (9) Yuxin Zhang (7) Yongjian Wu (7) Yanjing Li (5) Sheng Xu (5) Yunhang Shen (5) Ke Li (5) Yonghong Tian (4)

Keywords

model compression (11) knowledge distillation (8) vision transformer (4) inference acceleration (3) model quantization (3) binary neural network (3) network pruning (3) efficient computing (3) information bottleneck (2) weight binarization (2) large language model (2) model efficiency (2) neural network optimization (2) neural network pruning (2) object detection (2) image classification (2) attention mechanism (2) image retrieval (1) image generation (1) neural network training (1)

Papers

Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling AAAI 2026
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference AAAI 2025
EasyInv: Toward Fast and Better DDIM Inversion ICML 2025
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing AAAI 2025
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models EMNLP 2025
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences ICLR 2025
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs ICLR 2024
UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement ICML 2024
Bi-ViT: Pushing the Limit of Vision Transformer Quantization AAAI 2024
AccDiffusion: An Accurate Method for Higher-Resolution Image Generation ECCV 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023
Representation Disparity-aware Distillation for 3D Object Detection ICCV 2023
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers ICCV 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers ICCV 2023
Real-Time Image Demoir$\acute{e}$ing on Mobile Devices ICLR 2023
Bi-directional Masks for Efficient N:M Sparse Training ICML 2023
Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation AAAI 2023
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer AAAI 2023
Resilient Binary Neural Network AAAI 2023
ARM: Any-Time Super-Resolution Method ECCV 2022
Learning Best Combination for Efficient N:M Sparsity NIPS 2022
IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization CVPR 2022
Knowledge Condensation Distillation ECCV 2022
Fine-Grained Data Distribution Alignment for Post-Training Quantization ECCV 2022
Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks ECCV 2022
SeqTR: A Simple Yet Universal Network for Visual Grounding ECCV 2022
ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021
Rotated Binary Neural Network NIPS 2020
HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020
Channel Pruning via Automatic Structure Search IJCAI 2020
Towards Optimal Discrete Online Hashing with Balanced Similarity AAAI 2019