(Full list of my publications can be found on my Google Scholar.)

	LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs Keda Tao, Yuhua Zheng, Jia Xu, Wenjie Du, Kele Shao, Hesong Wang, Xueyi Chen, Xin Jin, Junhan Zhu, Bohan Yu, Weiqiang Wang, Jian Liu, Can Qin, Yulun Zhang, Ming-Hsuan Yang, Huan Wang# (#: Corresponding Author) ArXiv, 2026 | ArXiv | Code | Webpage BenchmarkMultimodal LLMVideoAI Evaluation
	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