About Me
Hi, there! I am Shunlin Lu, a second-year Ph.D. student affiliated at School of Data Scienec (SDS), The Chinese University of Hongkong (Shenzhen). I am honored to be co-supervised by Prof. Ruimao Zhang and Prof. Benyou Wang. Previously, I obtained my master's degree from University of Southern California (USC) and bachelor's degree from Wuhan University of Technology. Recently, my research interests mainly lie in Humanoid Robot, Character Animation, Motion Generation/Understanding, Multi-Modal LLMs and Machine Learning. When I was in USC, I worked closely with Dr. Souvik Kundu (Intel AI lab). I had a wonderful time as a research intern at the International Digital Economy Academy (IDEA), working closely with Dr. Ailing Zeng and Prof. Lei Zhang. Now, I'm a research intern at Shanghai AI lab, working with Dr. Jingbo Wang. My reseach goal is to build a generalizable and robust animation system to serve for embodied intelligence and virtual entertainment. You can contact me via shunlinlu0803@gmail.com.
News
- One paper was accepted to CVPR (2025).
- One paper was accepted to ICML (2024).
- One paper was accepted to NeurIPS (2023).
- One paper was accepted to ICLR (2023).
- One paper was accepted to ICASSP (2023).
- One paper was accepted to VLSI-SoC (2022), and won best paper nomination!!!
Preprint
Lixing Xiao, Shunlin Lu, Huaijin Pi, Ke Fan, Liang Pan, Yueer Zhou, Ziyong Feng, Xiaowei Zhou, Sida Peng, Jingbo Wang,
HumanPerformer: Synthesizing a Long Motion Sequence from a Story with a Text2Motion Retriever
Ling-Hao Chen*,
Shunlin Lu*,
Yukai Shi,
Ailing Zeng,
Ruimao Zhang,
Lei Zhang,
Arxiv Preprint 2024 [Video1] | [Video2]
This is the FIRST LLM-based (billion level) motion understanding model.
MotionLLM: Understanding Human Behaviors from Human Motions and Videos.
Ling-Hao Chen*,
Shunlin Lu*,
Ailing Zeng,
Hao Zhang,
Benyou Wang,
Ruimao Zhang,
Lei Zhang,
Arxiv Preprint 2024 [Project Page] | [Preprint] | [Code] | [Demo]
Publications
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model
Shunlin Lu,
Jingbo Wang,
Zeyu Lu,
Ling-Hao Chen,
Wenxun Dai,
Junting Dong,
Zhiyang Dou,
Bo Dai,
Ruimao Zhang
CVPR 2025 [Paper] | [Project Page] | [Code]
Play-and-plugin module for high-quality text-to-3D generation
HumanTOMATO: Text-aligned Whole-body Motion Generation
Shunlin Lu*,
Ling-Hao Chen*,
Ailing Zeng,
Jing Lin,
Ruimao Zhang,
Lei Zhang,
Heung-Yeung Shum.
ICML 2024 [Project Page] | [Preprint] | [Code] | [Video]
Motion-x: A large-scale 3d expressive whole-body human motion dataset
Jing Lin*, Ailing Zeng*, Shunlin Lu*, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang
NeurIPS 2023 [WebPage] [Paper] [Code] [Video 1] [Video 2]
Learning to linearize deep neural networks for secure and efficient private inference
Souvik Kundu*,
Shunlin Lu*,
Yuke Zhang,
Jacqueline T.Liu,
Peter A.Beerel
International Conference on Learning Representations (ICLR 2023)
[Paper]
Sparse mixture once-for-all adversarial training for efficient in-situ trade-off between accuracy and robustness of dnns
Souvik Kundu,
Sairam Sundaresan,
Sharath Nittur Sridhar,
Shunlin Lu,
Han Tang,
Peter A.Beerel
ICASSP 2023 [Paper]
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking
Gourav Datta,
Souvik Kundu,
Zihan Yin,
Joe Mathai,
Zeyu Liu,
Zixu Wang,
Shunlin Lu,
Ravi Lakkireddy,
Andrew Schmidt,
Wael Abd-Almageed,
Ajey Jacob,
Akhilesh Jaiswal,
Peter A.Beerel
IEEE VLSI-SoC 2022 [Paper]
(Best Paper Nomination)
Experience
| Shanghai Artificial Intelligence Labortary | Research intern | 2024.06 – now |
| International Digital Economy Academy (IDEA) | Research intern | 2023.01 – 2024.06 |
Academic Services
- Conference Reviewer: ICCV, ECCV, CVPR, AAAI, ICML, ICLR, NeurIPS, etc.
- Journal Reviewer: TPAMI, T-MM, etc.
- Organizer: 4th Computer Vision for Metaverse Workshop CVPR 2025
Awards & Honors
- Viterbi Honor Graduate Student in USC
- The First scholarship and titled the Superior Student in Wuhan University of Technology(three times)
Thanks to Weiyu Li and HTML5 UP for the design of this webpage.