Xuan Shen 沈轩 | Northeastern University

About Me

I am a Ph.D. student in ECE Department of Northeastern University at Boston, advised by Yanzhi Wang. Previously, I received my M.S. degree at Northeastern University in 2020 and my B.S. degree at Nanjing University of Science and Technology in 2018.

I work closely with Jiuxiang Gu, Prof. Pu Zhao and Prof. Wei Niu. I was fortunate to work with Ming Lin.

As a final-year Ph.D. candidate, I am actively pursuing post-doctoral and full-time research opportunities. I would welcome the chance to connect and discuss potential collaborations if our research interests align.

Research Interests

Efficient AI: Model Compression, Pruning, Quantization, NAS, Distillation
Software Hardware Co-Design: Edge Computing, FPGA Implementation, ASIC Design

Professional Experience

Research Intern @ Adobe Research advised by Jiuxiang Gu (May 2024 - Current)
Research Intern @ Alibaba DAMO Academy advised by Ming Lin (June 2022 - August 2022)

Selected Publications

NeurIPS 2024

Search for Efficient Large Language Models

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

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AAAI 2024

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, Yanzhi Wang

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CVPR 2023

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang

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IJCAI 2023

Data Level Lottery Ticket Hypothesis for Vision Transformers

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

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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, Yanzhi Wang

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