Bohan Zhuang
54 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(60)
π¬
Deep Specialist
(19)
π§¬
Topic Evolution
π€
Dynamic Duo
(18)
π
Grand Slam
β‘
Prolific Year
(8)
π
Conference Pioneer
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Century Club
(52)
ποΈ
Keyword Collector
(175)
π₯
Unstoppable
(10)
β
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
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