P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking. - Gourav Datta; Souvik Kundu 002; Zihan Yin; Joe Mathai; Zeyu Liu 003; Zixu Wang; Mulin Tian; Shunlin Lu; Ravi Teja Lakkireddy; Andrew G. Schmidt; Wael Abd-Almageed; Ajey P. Jacob; et al. (VLSI-SoC, 2022)

Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs. - Souvik Kundu 002; Sairam Sundaresan; Sharath Nittur Sridhar; Shunlin Lu; Han Tang; Peter A. Beerel (ICASSP, 2023)

Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. - Souvik Kundu 002; Shunlin Lu; Yuke Zhang; Jacqueline Tiffany Liu; Peter A. Beerel (ICLR, 2023)

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 001 (NeurIPS, 2023)

HumanTOMATO: Text-aligned Whole-body Motion Generation. - Shunlin Lu; Ling-Hao Chen; Ailing Zeng; Jing Lin; Ruimao Zhang; Lei Zhang 001; Heung-Yeung Shum (ICML, 2024)

MotionLLM: Understanding Human Behaviors from Human Motions and Videos. - Ling-Hao Chen; Shunlin Lu; Ailing Zeng; Hao Zhang 097; Benyou Wang; Ruimao Zhang; Lei Zhang 001 (CoRR, 2024)

Story3D-Agent: Exploring 3D Storytelling Visualization with Large Language Models. - Yuzhou Huang; Yiran Qin; Shunlin Lu; Xintao Wang 002; Rui Huang; Ying Shan; Ruimao Zhang (CoRR, 2024)

MotionCLR: Motion Generation and Training-free Editing via Understanding Attention Mechanisms. - Ling-Hao Chen; Wenxun Dai; Xuan Ju; Shunlin Lu; Lei Zhang (CoRR, 2024)

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model. - Shunlin Lu; Jingbo Wang 003; Zeyu Lu; Ling-Hao Chen; Wenxun Dai; Junting Dong; Zhiyang Dou; Bo Dai 002; Ruimao Zhang (CVPR, 2025)

Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset. - Yuhong Zhang; Jing Lin; Ailing Zeng; Guanlin Wu; Shunlin Lu; Yurong Fu; Yuanhao Cai; Ruimao Zhang; Haoqian Wang; Lei Zhang 001 (CoRR, 2025)

MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space. - Lixing Xiao; Shunlin Lu; Huaijin Pi; Ke Fan; Liang Pan; Yueer Zhou; Ziyong Feng; Xiaowei Zhou 001; Sida Peng; Jingbo Wang 003 (CoRR, 2025)

ARMO: Autoregressive Rigging for Multi-Category Objects. - Mingze Sun; Shiwei Mao; Keyi Chen 013; Yurun Chen 001; Shunlin Lu; Jingbo Wang 003; Junting Dong; Ruqi Huang (CoRR, 2025)

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data. - Ke Fan; Shunlin Lu; Minyue Dai; Runyi Yu 003; Lixing Xiao; Zhiyang Dou; Junting Dong; Lizhuang Ma; Jingbo Wang 003 (CoRR, 2025)