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Mingbao Lin

35 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (45)
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) ACL (1) IJCAI (1)

Top co-authors

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

Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning ACL 2026 Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling AAAI 2026 EasyInv: Toward Fast and Better DDIM Inversion ICML 2025 Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference AAAI 2025 CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences ICLR 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 Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs ICLR 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 Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement ICML 2024 UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024 Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 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 Representation Disparity-aware Distillation for 3D Object Detection ICCV 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 Channel Pruning via Automatic Structure Search IJCAI 2020 HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020 Towards Optimal Discrete Online Hashing with Balanced Similarity AAAI 2019