Bohan Zhuang
56 papers · 2016–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (63) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(19)
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Topic Evolution
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Keyword Pioneer
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Grand Slam
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Deep Specialist
(23)
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Conference Pioneer
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Unstoppable Β· Silver
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The Questioner
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Prolific Year Β· Prolific
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Century Club Β· Silver
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(204)
Venues
Top co-authors
Research topics
Deep Learning
(36)
Machine Learning
(36)
Application Areas
(29)
Computer Vision
(23)
Artificial Intelligence
(15)
Core AI Β· Artificial Intelligence
(15)
Architectures
(13)
Optimization & Theory Β· Deep Learning
(13)
Models
(12)
Optimization & Theory Β· Machine Learning
(10)
Analysis
(9)
Techniques
(9)
Generation
(6)
Learning Types
(5)
Core AI Β· Computer Vision
(4)
Keywords
model compression
(14)
diffusion model
(6)
vision transformer
(6)
attention mechanism
(5)
image classification
(5)
parameter-efficient fine-tuning
(4)
neural network optimization
(4)
image generation
(4)
large language model
(4)
knowledge distillation
(4)
efficient computing
(4)
neural network quantization
(3)
model quantization
(3)
neural network
(3)
convolutional neural network
(3)
vision-language model
(3)
efficient training
(2)
efficient inference
(2)
benchmark evaluation
(2)
object detection
(2)
Papers
An Empirical Study on How Video-LLMs Answer Video Questions
CVPR 2026
Geometrically-Constrained Agent for Spatial Reasoning
CVPR 2026
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
Are Large Vision Language Models Good Game Players?
ICLR 2025
Channel Merging: Preserving Specialization for Merged Experts
AAAI 2025
FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation
MICCAI 2025
Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis
ICCV 2025
McCaD: Multi-Contrast MRI Conditioned Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis
WACV 2025
Neighboring Autoregressive Modeling for Efficient Visual Generation
ICCV 2025
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
ICLR 2025
ZipAR: Parallel Autoregressive Image Generation through Spatial Locality
ICML 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity
ICCV 2025
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
ICLR 2024
Efficient Stitchable Task Adaptation
CVPR 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
NeurIPS 2024
LongVLM: Efficient Long Video Understanding via Large Language Models
ECCV 2024
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
ACL 2024
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
NeurIPS 2024
ModaVerse: Efficiently Transforming Modalities with LLMs
CVPR 2024
Motion Mamba: Efficient and Long Sequence Motion Generation
ECCV 2024
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
NeurIPS 2024
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
ECCV 2024
Object-Aware Inversion and Reassembly for Image Editing
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
Stitched ViTs are Flexible Vision Backbones
ECCV 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
NeurIPS 2024
A Survey on Efficient Training of Transformers
IJCAI 2023
BiViT: Extremely Compressed Binary Vision Transformers
ICCV 2023
Dynamic Focus-Aware Positional Queries for Semantic Segmentation
CVPR 2023
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
NeurIPS 2023
Mask Propagation for Efficient Video Semantic Segmentation
NeurIPS 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
NeurIPS 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
ICCV 2023
Stitchable Neural Networks
CVPR 2023
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection
ECCV 2022
Automated Progressive Learning for Efficient Training of Vision Transformers
CVPR 2022
EcoFormer: Energy-Saving Attention with Linear Complexity
NeurIPS 2022
Fast Vision Transformers with HiLo Attention
NeurIPS 2022
Less Is More: Pay Less Attention in Vision Transformers
AAAI 2022
AQD: Towards Accurate Quantized Object Detection
CVPR 2021
FATNN: Fast and Accurate Ternary Neural Networks
ICCV 2021
SA-BNN: State-Aware Binary Neural Network
AAAI 2021
Scalable Vision Transformers With Hierarchical Pooling
ICCV 2021
Generative Low-bitwidth Data Free Quantization
ECCV 2020
Training Quantized Neural Networks With a Full-Precision Auxiliary Module
CVPR 2020
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
IJCAI 2019
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
CVPR 2019
Discrimination-aware Channel Pruning for Deep Neural Networks
NeurIPS 2018
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries
CVPR 2018
Towards Effective Low-Bitwidth Convolutional Neural Networks
CVPR 2018
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data
CVPR 2017
Sequential Person Recognition in Photo Albums With a Recurrent Network
CVPR 2017
Towards Context-Aware Interaction Recognition for Visual Relationship Detection
ICCV 2017
Fast Training of Triplet-Based Deep Binary Embedding Networks
CVPR 2016