← Authors

Bohan Zhuang

54 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (60) πŸ”¬ Deep Specialist (19) 🧬 Topic Evolution 🀝 Dynamic Duo (18) πŸ† Grand Slam ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (52) πŸ—ƒοΈ Keyword Collector (175) πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

CVPR (13) NIPS (10) ICCV (8) ECCV (6) AAAI (5) ICLR (5) IJCAI (2) MICCAI (2) ACL (1) ICML (1) WACV (1)

Top co-authors

Jing Liu (19) Jianfei Cai (18) Chunhua Shen (14) Zizheng Pan (12) Haoyu He (10) Yefei He (9) Mingkui Tan (8) Ian Reid (8) Hong Zhou (7) Lingqiao Liu (6)

Keywords

model compression (13) vision transformer (6) attention mechanism (5) image classification (5) efficient computing (4) knowledge distillation (4) neural network optimization (4) neural network quantization (3) neural network (3) convolutional neural network (3) parameter-efficient fine-tuning (3) large language model (3) diffusion model (3) image generation (2) efficient training (2) visual recognition (2) image synthesis (2) model quantization (2) efficient inference (2) video generation (2)

Papers

OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs AAAI 2026
Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning AAAI 2026
FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation MICCAI 2025
Neighboring Autoregressive Modeling for Efficient Visual Generation ICCV 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity ICCV 2025
ZipAR: Parallel Autoregressive Image Generation through Spatial Locality ICML 2025
Are Large Vision Language Models Good Game Players? ICLR 2025
McCaD: Multi-Contrast MRI Conditioned Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis WACV 2025
Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis ICCV 2025
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching ICLR 2025
Channel Merging: Preserving Specialization for Merged Experts AAAI 2025
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification NIPS 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI NIPS 2024
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views NIPS 2024
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models NIPS 2024
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024
Efficient Stitchable Task Adaptation CVPR 2024
ModaVerse: Efficiently Transforming Modalities with LLMs CVPR 2024
Motion Mamba: Efficient and Long Sequence Motion Generation ECCV 2024
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images ECCV 2024
LongVLM: Efficient Long Video Understanding via Large Language Models ECCV 2024
Stitched ViTs are Flexible Vision Backbones ECCV 2024
Object-Aware Inversion and Reassembly for Image Editing ICLR 2024
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models ICLR 2024
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models ICLR 2024
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation MICCAI 2024
Stitchable Neural Networks CVPR 2023
Dynamic Focus-Aware Positional Queries for Semantic Segmentation CVPR 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023
BiViT: Extremely Compressed Binary Vision Transformers ICCV 2023
Mask Propagation for Efficient Video Semantic Segmentation NIPS 2023
A Survey on Efficient Training of Transformers IJCAI 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models NIPS 2023
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction NIPS 2023
Fast Vision Transformers with HiLo Attention NIPS 2022
Less Is More: Pay Less Attention in Vision Transformers AAAI 2022
EcoFormer: Energy-Saving Attention with Linear Complexity NIPS 2022
Automated Progressive Learning for Efficient Training of Vision Transformers CVPR 2022
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection ECCV 2022
SA-BNN: State-Aware Binary Neural Network AAAI 2021
FATNN: Fast and Accurate Ternary Neural Networks ICCV 2021
Scalable Vision Transformers With Hierarchical Pooling ICCV 2021
AQD: Towards Accurate Quantized Object Detection CVPR 2021
Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020
Generative Low-bitwidth Data Free Quantization ECCV 2020
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation CVPR 2019
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs IJCAI 2019
Towards Effective Low-Bitwidth Convolutional Neural Networks CVPR 2018
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries CVPR 2018
Discrimination-aware Channel Pruning for Deep Neural Networks NIPS 2018
Sequential Person Recognition in Photo Albums With a Recurrent Network CVPR 2017
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data CVPR 2017
Towards Context-Aware Interaction Recognition for Visual Relationship Detection ICCV 2017
Fast Training of Triplet-Based Deep Binary Embedding Networks CVPR 2016