Shunlin Lu - RankMe

20 papers A* 4C 1Misc 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ARMO: Autoregressive Rigging for Multi-Category Objects. CoRR Mingze Sun, Shiwei Mao, Keyi Chen, Yurun Chen, Shunlin Lu, Jingbo Wang, Junting Dong, Ruqi Huang
2025	J	`jnl`	Behavior Foundation Model for Humanoid Robots. CoRR Weishuai Zeng, Shunlin Lu, Kangning Yin, Xiaojie Niu, Minyue Dai, Jingbo Wang, Jiangmiao Pang
2025	J	`jnl`	Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data. CoRR Ke Fan, Shunlin Lu, Minyue Dai, Runyi Yu, Lixing Xiao, Zhiyang Dou, Junting Dong, Lizhuang Ma, Jingbo Wang
2025	J	`jnl`	LoFA: Learning to Predict Personalized Priors for Fast Adaptation of Visual Generative Models. CoRR Yiming Hao, Mutian Xu, Chongjie Ye, Jie Qin, Shunlin Lu, Yipeng Qin, Xiaoguang Han
2025	J	`jnl`	Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset. CoRR Yuhong Zhang, Jing Lin, Ailing Zeng, Guanlin Wu, Shunlin Lu, Yurong Fu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang
2025	J	`jnl`	MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space. CoRR Lixing Xiao, Shunlin Lu, Huaijin Pi, Ke Fan, Liang Pan, Yueer Zhou, Ziyong Feng, Xiaowei Zhou, Sida Peng, Jingbo Wang
2025	A*	`conf`	ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model. CVPR Shunlin Lu, Jingbo Wang, Zeyu Lu, Ling-Hao Chen, Wenxun Dai, Junting Dong, Zhiyang Dou, Bo Dai, Ruimao Zhang
2024	A*	`conf`	HumanTOMATO: Text-aligned Whole-body Motion Generation. ICML Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, Heung-Yeung Shum
2024	J	`jnl`	MotionCLR: Motion Generation and Training-free Editing via Understanding Attention Mechanisms. CoRR Ling-Hao Chen, Wenxun Dai, Xuan Ju, Shunlin Lu, Lei Zhang
2024	J	`jnl`	MotionLLM: Understanding Human Behaviors from Human Motions and Videos. CoRR Ling-Hao Chen, Shunlin Lu, Ailing Zeng, Hao Zhang, Benyou Wang, Ruimao Zhang, Lei Zhang
2024	J	`jnl`	ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model. CoRR Shunlin Lu, Jingbo Wang, Zeyu Lu, Ling-Hao Chen, Wenxun Dai, Junting Dong, Zhiyang Dou, Bo Dai, Ruimao Zhang
2024	J	`jnl`	Story3D-Agent: Exploring 3D Storytelling Visualization with Large Language Models. CoRR Yuzhou Huang, Yiran Qin, Shunlin Lu, Xintao Wang, Rui Huang, Ying Shan, Ruimao Zhang
2023	J	`jnl`	HumanTOMATO: Text-aligned Whole-body Motion Generation. CoRR Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, Heung-Yeung Shum
2023	A*	`conf`	Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. ICLR Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel
2023	J	`jnl`	Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. CoRR Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel
2023	A*	`conf`	Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset. NeurIPS Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang
2023	J	`jnl`	Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset. CoRR Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang
2023	J	`jnl`	Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs. CoRR Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel
2023	Misc	`conf`	Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs. ICASSP Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel
2022	C	`conf`	P VLSI-SoC Gourav Datta, Souvik Kundu, Zihan Yin, Joe Mathai, Zeyu Liu, Zixu Wang, Mulin Tian, Shunlin Lu, Ravi Teja Lakkireddy, Andrew G. Schmidt, Wael Abd-Almageed, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel