My Research / Google Scholar
Filter by keyword
OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models
Keda Tao, Kele Shao, Bohan Yu, Weiqiang Wang, Jian Liu, Huan Wang# (#: Corresponding Author)
In CVPR, 2026 | ArXiv | Code
Token CompressionMultimodal LLMEfficient AI
StreamingTOM: Streaming Token Compression for Efficient Video Understanding
Xueyi Chen, Keda Tao, Kele Shao, Huan Wang# (#: Corresponding Author)
In CVPR, 2026 | ArXiv | Code | Webpage
Token CompressionMultimodal LLMVideoEfficient AI
Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps
Sicheng Feng, Song Wang, Shuyi Ouyang, Lingdong Kong, Zikai Song, Jianke Zhu, Huan Wang, Xinchao Wang
In CVPR, 2026 | ArXiv | Webpage | Code
BenchmarkMultimodal LLMAI Evaluation
When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios
Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang

TMLR, 2026 | ArXiv | Paper GitHub Repo
Token CompressionMultimodal LLMSurveyEfficient AI
FreqExit: Frequency-Aware Early Exit for Visual Autoregressive Models
Ying Li, Chengfei Lv, Huan Wang
In NeurIPS, 2025 | OpenReview | Code | Webpage
Generative ModelsEfficient AI
HoliTom: Holistic Token Merging for Fast Video Large Language Models
Kele Shao, Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang
In NeurIPS, 2025 | ArXiv | Code
Token CompressionMultimodal LLMVideoEfficient AI
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
Kejia Zhang, Keda Tao, Jiasheng Tang, Huan Wang
In NeurIPS, 2025 | ArXiv | Code
Multimodal LLMAI Evaluation
Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models
Yiming Wu, Zhenghao Chen, Huan Wang, Dong Xu
In ACM MM, 2025 | ArXiv
Network PruningGenerative ModelsVideoEfficient AI
On-Device Diffusion Transformer Policy for Efficient Robot Manipulation
Yiming Wu, Huan Wang#, Zhenghao Chen, Jianxin Pan, Dong Xu# (#: Corresponding Author)
In ICCV, 2025 | ArXiv
Generative ModelsRoboticsOn-DeviceEfficient AI
DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang# (#: Corresponding Author)
In CVPR, 2025 | ArXiv | Code
Token CompressionMultimodal LLMVideoEfficient AI
Accessing Vision Foundation Models via ImageNet-1K
Yitian Zhang, Xu Ma, Yue Bai, Huan Wang#, Yun Fu (#: Corresponding Author)
In ICLR, 2025 | ArXiv | Code
Knowledge DistillationEfficient AI
Is Oracle Pruning the True Oracle?
Sicheng Feng, Keda Tao, Huan Wang
Preprint, 2024 | Webpage | ArXiv | Code
Network PruningAI EvaluationBenchmark
Towards Real-time Video Compressive Sensing on Mobile Devices
Miao Cao, Lishun Wang, Huan Wang#, Guoqing Wang, Xin Yuan# (#: Corresponding Author)
In ACM MM, 2024 | ArXiv | Code
On-DeviceVideoEfficient AI
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging
Miao Cao, Lishun Wang, Huan Wang, Xin Yuan
In ECCV (Oral, 200/8585=2.3%), 2024 | Arxiv | Code
QuantizationVideoEfficient AI
Don't Judge by the Look: A Motion Coherent Augmentation for Video Recognition
Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu
In ICLR, 2024 | ArXiv | Code
VideoData Augmentation
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li*, Huan Wang*, Qing Jin*, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren* (*: Equal Contribution)
In NeurIPS, 2023 | ArXiv | Webpage
Generative ModelsOn-DeviceEfficient AI
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao
In ICCV, 2023 | Arxiv | Code
Network PruningSuper-ResolutionEfficient AI
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang, Can Qin, Yue Bai, Yun Fu
Preprint, 2023 | ArXiv | Code
Network PruningAI EvaluationBenchmark
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Huan Wang*, Yulun Zhang*, Can Qin, Luc Van Gool, Yun Fu (*: Equal Contribution)
TPAMI, 2023 | PDF | Code
Network PruningSuper-ResolutionEfficient AI
Real-Time Neural Light Field on Mobile Devices
Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhray, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren
In CVPR, 2023 | Webpage | ArXiv | Code
Neural RenderingOn-DeviceEfficient AI
Trainability Preserving Neural Pruning
Huan Wang, Yun Fu
In ICLR, 2023 | OpenReview | ArXiv | Code
Network PruningEfficient AI
Image as Set of Points
Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu
In ICLR (Oral, 5%), 2023 | Webpage | OpenReview | Code
BackboneEfficient AI
What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
Huan Wang, Suhas Lohit, Mike Jones, Yun Fu
In NeurIPS, 2022 | Webpage | ArXiv | Code
Knowledge DistillationData Augmentation
Parameter-Efficient Masking Networks
Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
In NeurIPS, 2022 | ArXiv | Code
Network PruningEfficient AI
Look More but Care Less in Video Recognition
Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu
In NeurIPS, 2022 | ArXiv | Code
VideoEfficient AI
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov
In ECCV, 2022 | Webpage | ArXiv | Code
Neural RenderingKnowledge DistillationEfficient AI
Recent Advances on Neural Network Pruning at Initialization
Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu
In IJCAI, 2022 | ArXiv | Slides
Paper Collection
Network PruningSurvey
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning
Huan Wang*, Yulun Zhang*, Can Qin, Yun Fu (*: Equal Contribution)
In ICLR, 2022 | PDF | Code
Network PruningSuper-ResolutionEfficient AI
Dual Lottery Ticket Hypothesis
Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
In ICLR, 2022 | OpenReview | ArXiv | Code
Network PruningEfficient AI
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Huan Wang*, Yulun Zhang*, Can Qin, Yun Fu (*: Equal Contribution)
In NeurIPS (Spotlight, <3 % ), 2021 | PDF | Code
Network PruningSuper-ResolutionEfficient AI
Neural Pruning via Growing Regularization
Huan Wang, Can Qin, Yulun Zhang, Yun Fu
In ICLR, 2021 | ArXiv, OpenReview | Code
Network PruningEfficient AI
Collabrotive Distillation for Ultra-Resolution Universal Style Transfer
Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang
In CVPR, 2020 | ArXiv, Camera Ready | Code
Knowledge DistillationEfficient AI
MNN: A Universal and Efficient Inference Engine
Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, et al.
In MLSys (Oral), 2020 | ArXiv | Code
On-DeviceEfficient AI
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Xinyi Hu, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Hu
In NeurIPS Workshop, 2018; IJCNN, 2019 (Oral); Journal extension to JSTSP, 2019
NeurIPS Workshop, IJCNN, JSTSP | Code
Network PruningEfficient AI
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
Huan Wang*, Qiming Zhang*, Yuehai Wang, Haoji Hu (*: Equal Contribution)
In BMVC (acceptance rate 29.5%), 2018 (Oral) | ArXiv | Camera Ready | Code
Network PruningEfficient AI