Westlake ENCODE Lab

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ENCODE Lab Family

About Us:
The ENCODE Lab (Efficient Neural COmputing and DEsign) is led by Dr. Huan Wang, a Tenure-Track Assistant Professor in the School of Engineering at Westlake University. We focus on building efficient and reliable AI systems that are scalable and self-improving, driving both theoretical innovation and practical impact.

Research Focus:
Our research centers on Efficient AI, Multimodal AI, and Generative AI.

Join Us:
We are actively recruiting Ph.D. students, Research Assistants, Visiting Students, and Postdocs. Please read the Admission Guide for openings and how to apply, and email us at [email protected].

News

Feb 22, 2026 [CVPR'26] Six papers accepted to CVPR 2026! Congrats to Keda (OmniZip), Xueyi (StreamingTOM), Sicheng (ReasonMap), Hesong (EarlyTom), Boya (PJD), Zhizhen (QVGGT), and all collaborators!
Jan 26, 2026 [TMLR'26] Our first systematic survey on multimodal long-context token compression has been accepted to TMLR! Congrats to Kele, Keda, and all collaborators! [arxiv] [code]
Jan 26, 2026 [ICLR'26] Four papers accepted to ICLR 2026! Congrats to Junhan (OBS-Diff), Xin (MergeMix), Sicheng (RewardMap), Haopeng (ARPG), and all collaborators! Notably, Junhan Zhu is the first Westlake undergraduate to publish at a top ML/AI venue as a sole first author!
Jan 22, 2026 [CPAL'26] Two papers accepted to CPAL 2026, including one oral! Congrats to Mingluo (ROSE), Haolei (ResSVD), and all collaborators!
Nov 01, 2025 [Funding] Grateful to receive the CAAI & Ant Group Research Fund (CAAI-蚂蚁科研基金). Thanks to CAAI and Ant Group for the support!

Selected Publications

  1. CVPR
    OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models
    Keda Tao, Kele Shao, Bohan Yu, Weiqiang Wang, Jian Liu, and Huan Wang
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  2. CVPR
    StreamingTOM: Streaming Token Compression for Efficient Video Understanding
    Xueyi Chen, Keda Tao, Kele Shao, and Huan Wang
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  3. CVPR
    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, and Xinchao Wang
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  4. ICLR
    MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
    Xin Jin, Siyuan Li, Siyong Jian, Kai Yu, and Huan Wang
    In International Conference on Learning Representations (ICLR), 2026
  5. ICLR
    OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
    In International Conference on Learning Representations (ICLR), 2026
  6. ICLR
    RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
    Sicheng Feng, Kaiwen Tuo, Song Wang, Lingdong Kong, Jianke Zhu, and Huan Wang
    In International Conference on Learning Representations (ICLR), 2026
  7. ICLR
    Autoregressive Image Generation with Randomized Parallel Decoding
    Haopeng Li, Jinyue Yang, Guoqi Li, and Huan Wang
    In International Conference on Learning Representations (ICLR), 2026
  8. NeurIPS
    HoliTom: Holistic Token Merging for Fast Video Large Language Models
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
  9. NeurIPS
    FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
    Ying Li, Chengfei Lv, and Huan Wang
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
  10. CVPR
    DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
    Keda Tao, Can Qin, Haoxuan You, Yang Sui, and Huan Wang
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Sponsors