Huan Wang's Webpage

2025/02 [CVPR'25] DyCoke is accepted by CVPR'25! Congrats to Keda!🎉 DyCoke is a training-free, plug-and-play token compression method for fast video LLMs: 1.5x wall-clock inference speedup and 1.4x memory reduction with no performance drop. [arxiv][code]
2025/02 [Preprint] Can diffusion models blend visual concepts that are semantically very unsimilar (e.g., an orange and a teddy bear)? Yes, we introduce FreeBlend, a new method to blend arbitrary concepts. [arxiv] [code] [webpage]
2025/01 [Preprint] Adversarial visual noise is always malicious to our models like "poison"? No, we find it can also be a cure to mitigate the hallucination problem of VLMs. [arxiv] [code] [webpage]
2025/01 [ICLR'25] One paper about distilling large foundation models with low cost "Compressing Vision Foundation Models at ImageNet-level Costs" is accepted by ICLR'25. Thanks to the lead author Yitian!
2024/12 [Preprint] We present empirical evidence to show that oracle pruning, the "ground-truth" pruning paradigm that has been followed for around 35 years in the pruning community, does not hold in practice. [arxiv][webpage]
2024/09 [NeurIPS'24] We introduce a training framework Scala to learn slimmable ViTs. Using Scala, a ViT model is trained once but can inference at different widths, up to the need of devices with different resources. The project is led by Yitian. Congrats!
2024/07 [MM'24] We present the first real-time on-device video SCI (Snapshot Compressive Imaging) framework via dedicated network design and a distillation-based training strategy. Congrats to Miao! (Code will be released soon.)
2024/07 [ECCV'24] One paper about efficient video SCI (Snapshot Compressive Imaging) via network quantization is accepted by ECCV'24 as an oral. Congrats to Miao! [Code]
2024/06 [New Start] Join the beautiful Westlake University as a tenure-track assistant professor.
2024/04 [Graduation] 🎈PhD student→PhD. So many thanks to my Ph.D. committee (Prof. Yun Raymond Fu, Prof. Octavia Camps, Prof. Zhiqiang Tao) and co-authors!
2024/01 [ICLR'24] One paper proposing a simple and effective data augmentation method for improved action recognition is accepted by ICLR'24. Congrats to Yitian!
2023/11 [Award] Received Northeastern PhD Network Travel Award. Thanks to Northeastern!
2023/10 [Award] Received NeurIPS'23 Scholar Award. Thanks to NeurIPS!
2023/09 [NeurIPS'23] Two papers accepted by NeurIPS 2023: SnapFusion and a work about weakly-supervised latent graph inference. 2024/02: Gave a talk at ASU about SnapFusion [Slides]. Thanks for the warm invitation from Maitreya Jitendra Patel, Sheng Cheng, and Prof. Yezhou Yang!
2023/07 [ICCV'23] One paper about sparse network training for efficient image super-resolution is accepted by ICCV'23. Congrats to Jiamian!
2023/06 [Internship'23] Start full-time summer internship at Google AR.
2023/06 [Preprint] We are excited to present SnapFusion, a brand-new efficient Stable Diffusion model on mobile devices. SnapFusion can generate a 512x512 image from text in only 1.84s on iPhone 14 Pro, which is the fastest🚀 on-device SD model as far as we know! Give a talk at JD Health about this work [Slides].
2023/05 [Talk] Give a talk at ZJUI (ZJU-UIUC Institute) on the recent advances in efficient neural light field (NeLF), featuring two of our recent NeLF papers (R2L and MobileR2L). [Slides]
2023/05 [Award] Recognized as CVPR'23 Outstanding Reviewer (3.3%). Thanks to CVPR and the ACs!
2023/04 [TPAMI'23] Extension of our NeurIPS'21 spotlight paper ASSL, "Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution", is accepted by TPAMI (IF=24.31). Code will be relased to the same repo.
2023/03 [Award] Received ICLR'23 Travel Award. Thanks to ICLR!
2023/02 [CVPR'23] 2 papers accepted by CVPR'23: (1) MobileR2L [Code] , congrats to Junli! MobileR2L is a blazing fast🚀 neural rendering model designed for mobile devices: It can render 1008x756 images at 56fps on iPhone13. (2) Frame Flexible Network [Code], congrats to Yitian!
2023/01 [ICLR'23] 2 papers accpeted by ICLR'23: Trainabaility Preserveing Neural Pruning (TPP) and Image as Set of Points (Oral, top-5%).
2023/01 [Internship'23] Start part-time internship at Snap, luckily working with the Creative Vision team again. 2023/09 Update: The paper of this internship, SnapFusion, is accepted by NeurIPS 2023! Thanks to my coauthors!🎉
2023/01 [Preprint] Check out our preprint work that deciphers the so confusing benchmark situation in neural network (filter) pruning: Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning [Code]. Also give a talk @UT Austin about this work. Thanks for the warm invitation from Dr. Shiwei Liu and Prof. Atlas Wang!
2022/10 [Award] Received NeurIPS'22 Scholar Award. Thanks to NeurIPS!
2022/09 [NeurIPS'22] 3 papers accepted by NeurIPS'22: One under my lead (which was my 1st internship work at MERL in 2020 summer. Rejected 4 times. Now finally I close the loop. Thanks to my co-authors and the reviewers!), two collaborations. Code: Good-DA-in-KD, PEMN, AFNet.
2022/09 [TIP'22] One journal paper "Semi-supervised Domain Adaptive Structure Learning" accepted by TIP. Congtrats to Can!
2022/07 [ECCV'22] We present the first residual MLP network to represent neural light field (NeLF) for efficient novel view synthesis. Check our webpage and ArXiv!
2022/05 [Award] Received Northeastern PhD Network Travel Award. Thanks to Northeastern!
2022/04 [IJCAI'22] We offer the very first survey paper on Pruning at Initialization, accepted by IJCAI'22 [ArXiv] [Paper Collection] [Slides].
2022/01 [ICLR'22] Two papers on neural network sparsity accepted by ICLR'22. One is about efficient image super-resolution (SRP), the other about lottery ticket hypothsis (DLTH).
2021/09 [NeurIPS'21] One paper on efficient image super-resolution is accepted by NeurIPS'21 as a Spotlight (<3%) paper! [Code]
2021/06 [Internship'21] Start summer internship at Snap Inc., working with the fantastic Creative Vision team.
2021/01 [ICLR'21] One paper about neural network pruning accepted by ICLR'21 as poster. [ArXiv] [Code]
2020/06 [Internship'20] Start summer internship at MERL, working with Dr. Mike Jones and Dr. Suhas Lohit. (2022/09 Update: Finally, paper of this project accpeted by NeurIPS'22 -- two good years have passed, thank God..!)
2020/02 [CVPR'20] One paper about model compression for ultra-resolution neural style transfer "Collaborative Distillation for Ultra-Resolution Universal Style Transfer" is accepted by CVPR'20 [Code].
2020/01 [MLSys'20] 2019 summer intern paper accepted by MLSys 2020. (Project: MNN from Alibaba, one of the fastest mobile AI engines on this planet. Welcome trying!)
2019/12 [JSTSP'19] One journal paper "Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization" accepted by IEEE JSTSP.
2019/09 Join SMILE Lab at Northeastern University (Boston, USA) to pursue my Ph.D. degree.
2019/07 [Internship'19] Start summer internship at Taobao of Alibaba Group ( Hangzhou, China).
2019/06 Graduate with M.Sc. degree from Zhejiang University (Hangzhou, China).