Xuan Shen

15 papers at tracked venues · 12 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

AAAI ×5 EMNLP ×2 NeurIPS ×2 ACL ×1 CCS ×1 CRYPTO ×1 CVPR ×1 ICLR ×1 IJCAI ×1

Frequent coauthors

Yanzhi Wang

×11

Pu Zhao

×10

Zhenglun Kong

×7

Yifan Gong

×6

Xue Lin

×6

Changdi Yang

×5

Zheng Zhan

×5

Wei Niu

×5

Jiuxiang Gu

×4

Yushu Wu

×4

Jason Kuen

×2

Ruiyi Zhang

×2

Papers

From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation
ACL 2026 ·
Yizhou Wang
,
Mang Tik Chiu
,
Lingzhi Zhang
, Xuan Shen,
Sohrab Amirghodsi
,
Yun Fu
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
AAAI 2026 · Xuan Shen,
Brian Wingenroth
,
Zichao Wang
,
Jason Kuen
,
Wanrong Zhu
,
Ruiyi Zhang
,
Yiwei Wang
,
Lichun Ma
,
Anqi Liu
,
Hongfu Liu
,
Tong Sun
,
Kevin S. Hawkins
,
Kate Tasker
,
G. Caleb Alexander
,
Jiuxiang Gu
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
IJCAI 2025 ·
Changdi Yang
,
Zheng Zhan
,
Ci Zhang
,
Yifan Gong
,
Yize Li
,
Zichong Meng
,
Jun Liu
, Xuan Shen,
Hao Tang
,
Geng Yuan
,
Pu Zhao
,
Xue Lin
,
Yanzhi Wang
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
AAAI 2025 · 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
,
Jiuxiang Gu
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025 · 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
,
Jiuxiang Gu
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
CVPR 2025 · Xuan Shen,
Weize Ma
,
Jing Liu
,
Changdi Yang
,
Rui Ding
,
Quanyi Wang
,
Henghui Ding
,
Wei Niu
,
Yanzhi Wang
,
Pu Zhao
,
Jun Lin
,
Jiuxiang Gu
Refined TFHE Leveled Homomorphic Evaluation and Its Application
CCS 2025 ·
Ruida Wang
,
Jincheol Ha
, Xuan Shen,
Xianhui Lu
,
Chunling Chen
,
Kunpeng Wang
,
Jooyoung Lee
Sparse Learning for State Space Models on Mobile
ICLR 2025 · Xuan Shen,
Hangyu Zheng
,
Yifan Gong
,
Zhenglun Kong
,
Changdi Yang
,
Zheng Zhan
,
Yushu Wu
,
Xue Lin
,
Yanzhi Wang
,
Pu Zhao
,
Wei Niu
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
AAAI 2025 ·
Jun Liu
,
Zhenglun Kong
,
Pu Zhao
,
Changdi Yang
, Xuan Shen,
Hao Tang
,
Geng Yuan
,
Wei Niu
,
Wenbin Zhang
,
Xue Lin
,
Dong Huang
,
Yanzhi Wang
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
AAAI 2024 · Xuan Shen,
Peiyan Dong
,
Lei Lu
,
Zhenglun Kong
,
Zhengang Li
,
Ming Lin
,
Chao Wu
,
Yanzhi Wang
Exploring Token Pruning in Vision State Space Models
NeurIPS 2024 ·
Zheng Zhan
,
Zhenglun Kong
,
Yifan Gong
,
Yushu Wu
,
Zichong Meng
,
Hangyu Zheng
, Xuan Shen,
Stratis Ioannidis
,
Wei Niu
,
Pu Zhao
,
Yanzhi Wang
Feistel-Like Structures Revisited: Classification and Cryptanalysis
CRYPTO 2024 ·
Bing Sun
,
Zejun Xiang
,
Zhengyi Dai
,
Guoqiang Liu
, Xuan Shen,
Longjiang Qu
,
Shaojing Fu
Pruning Foundation Models for High Accuracy without Retraining
EMNLP 2024 ·
Pu Zhao
,
Fei Sun
, Xuan Shen,
Pinrui Yu
,
Zhenglun Kong
,
Yanzhi Wang
,
Xue Lin
Rethinking Token Reduction for State Space Models
EMNLP 2024 ·
Zheng Zhan
,
Yushu Wu
,
Zhenglun Kong
,
Changdi Yang
,
Yifan Gong
, Xuan Shen,
Xue Lin
,
Pu Zhao
,
Yanzhi Wang
Search for Efficient Large Language Models
NeurIPS 2024 · Xuan Shen,
Pu Zhao
,
Yifan Gong
,
Zhenglun Kong
,
Zheng Zhan
,
Yushu Wu
,
Ming Lin
,
Chao Wu
,
Xue Lin
,
Yanzhi Wang