Publications

2025

1. CVPR

   QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge

   Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao^†, Jun Lin^†, and Jiuxiang Gu^†

   Conference on Computer Vision and Pattern Recognition, 2025

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2. ICLR

   Sparse Learning for State Space Models on Mobile

   Xuan Shen^*, Hangyu Zheng^*, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, and Wei Niu^†

   International Conference on Learning Representations, 2025

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3. AAAI

   Numerical Pruning for Efficient Autoregressive Models

   Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang^†, and Jiuxiang Gu^†

   Association for the Advancement of Artificial Intelligence, 2025

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4. AAAI

   LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers

   Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang^†, and Jiuxiang Gu^†

   Association for the Advancement of Artificial Intelligence, 2025

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2024

1. NeurIPS

   Search for Efficient Large Language Models

   Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, and Yanzhi Wang^†

   Conference on Neural Information Processing Systems, 2024

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2. TCAD

   HotaQ: Hardware Oriented Token Adaptive Quantization for Large Language Models

   Xuan Shen, Zhaoyang Han, Lei Lu, Zhenglun Kong, Peiyan Dong, Zhengang Li, Yanyue Xie, Chao Wu, Miriam Leeser, Pu Zhao, Xue Lin, and Yanzhi Wang^†

   IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024

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3. AAAI

   Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

   Xuan Shen^*, Peiyan Dong^*, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, and Yanzhi Wang^†

   Association for the Advancement of Artificial Intelligence, 2024

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2023

1. CVPR

   DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

   Xuan Shen^*, Yaohua Wang^*, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, and Yanzhi Wang^†

   Conference on Computer Vision and Pattern Recognition, 2023

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2. IJCAI

   Data Level Lottery Ticket Hypothesis for Vision Transformers

   Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, and Yanzhi Wang^†

   International Joint Conference on Artificial Intelligence, 2023

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