Xuan Shen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
18
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. | 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 |
| 2026 | ACL | From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation. | Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, Xuan Shen, Sohrab Amirghodsi, Yun Fu |
| 2025 | AAAI | Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. | Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | 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, Jiuxiang Gu |
| 2025 | 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, Jiuxiang Gu |
| 2025 | CCS | Refined TFHE Leveled Homomorphic Evaluation and Its Application. | Ruida Wang, Jincheol Ha, Xuan Shen, Xianhui Lu, Chunling Chen, Kunpeng Wang, Jooyoung Lee |
| 2025 | 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, Jiuxiang Gu |
| 2025 | ICASSP | RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. | Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | ICCAD | Squat: Quant Small Language Models on the Edge. | Xuan Shen, Peiyan Dong, Zhenglun Kong, Yifan Gong, Changdi Yang, Zhaoyang Han, Yanyue Xie, Lei Lu, Cheng Lyu, Chao Wu, Yanzhi Wang, Pu Zhao |
| 2025 | 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, Wei Niu |
| 2025 | IJCAI | FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. | 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 |
| 2025 | ICS | Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices. | Zhengang Li, Hongwu Peng, Xuan Shen, Masoud Zabihi, Xi Xie, Geng Yuan, Yanzhi Wang, Olivia Chen, Caiwen Ding |
| 2025 | RANLP | A Survey on Small Language Models. | Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen |
| 2024 | 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, Yanzhi Wang |
| 2024 | CRYPTO | Feistel-Like Structures Revisited: Classification and Cryptanalysis. | Bing Sun, Zejun Xiang, Zhengyi Dai, Guoqiang Liu, Xuan Shen, Longjiang Qu, Shaojing Fu |
| 2024 | DAC | Late Breaking Result: AQFP-aware Binary Neural Network Architecture Search. | Zhengang Li, Xuan Shen, Geng Yuan, Masoud Zabihi, Tomoharu Yamauchi, Yanzhi Wang, Olivia Chen |
| 2024 | EMNLP | Rethinking Token Reduction for State Space Models. | Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang |
| 2024 | EMNLP | Pruning Foundation Models for High Accuracy without Retraining. | Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin |
| 2024 | ICCAD | AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. | Chao Wu, Yifan Gong, Liangkai Liu, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang |
| 2024 | TrustCom | Broader but More Efficient: Broad Learning in Power Side-channel Attacks. | Yilin Yang, Changhai Ou, Yongzhuang Wei, Wei Li, Yifan Fan, Xuan Shen |
| 2023 | AAAI | Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. | Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang |
| 2023 | CVPR | DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. | Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang |
| 2023 | 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, Yanzhi Wang |
| 2022 | ECCV | SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. | Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang |
| 2022 | IJCAI | Real-Time Portrait Stylization on the Edge. | Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang |
| 2021 | CVPR | NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. | Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | ICML | Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? | Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang |
| 2021 | IJCAI | Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. | Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang |
| 2021 | ISPEC | Out of Non-linearity: Search Impossible Differentials by the Bitwise Characteristic Matrix. | Yunxiao Yang, Xuan Shen, Bing Sun |
| 2017 | ISPEC | Dual Relationship Between Impossible Differentials and Zero Correlation Linear Hulls of SIMON-Like Ciphers. | Xuan Shen, Ruilin Li, Bing Sun, Lei Cheng, Chao Li, Maodong Liao |
| 2014 | ProvSec | On the Practical Security Bound of GF-NLFSR Structure with SPN Round Function. | Guangyao Zhao, Lei Cheng, Chao Li, Ruilin Li, Xuan Shen |