Xuefei Ning

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 81

Top Topics

Heterogeneous Distributed

Diffusion Models

Special Session

Top Venues

Publications

Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR (2024)
Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. ICLR (2024)
Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. CoRR (2024)
Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang
TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. WACV (2024)
Si Xu, Zixiao Huang, Yan Zeng, Shengen Yan, Xuefei Ning, Haolin Ye, Sipei Gu, Chunsheng Shui, Zhezheng Lin, Hao Zhang, Sheng Wang, Guohao Dai, Yu Wang
HetHub: A Heterogeneous distributed hybrid training system for large-scale models. CoRR (2024)
Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. CoRR (2024)
Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR (2024)
Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. CoRR (2024)
Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR (2024)
Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
Can LLMs Learn by Teaching? A Preliminary Study. CoRR (2024)
Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR (2024)
Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA (2024)
Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang
DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE (2024)
Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation. ICLR (2024)
Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR (2024)
Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR (2024)
Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. Tiny Papers @ ICLR (2024)
Tao Yuan, Xuefei Ning, Dong Zhou, Zhijie Yang, Shiyao Li, Minghui Zhuang, Zheyue Tan, Zhuyu Yao, Dahua Lin, Boxun Li, Guohao Dai, Shengen Yan, Yu Wang
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K. CoRR (2024)
Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
Evaluating Quantized Large Language Models. CoRR (2024)
Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang
A Survey on Efficient Inference for Large Language Models. CoRR (2024)
Lin Zhao, Hongxuan Li, Xuefei Ning, Xinru Jiang
THInImg: Cross-modal Steganography for Presenting Talking Heads in Images. WACV (2024)
Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang
DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. MICRO (2023)
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR (2023)
Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. AAAI (2023)
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. ICML (2023)
Xuefei Ning, Yin Zheng, Zixuan Zhou, Tianchen Zhao, Huazhong Yang, Yu Wang
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. CoRR (2023)
Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang
Memory-Oriented Structural Pruning for Efficient Image Restoration. AAAI (2023)
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR (2023)
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI (2023)
Zifu Wang, Xuefei Ning, Matthew B. Blaschko
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels. NeurIPS (2023)
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. CoRR (2023)
Xuefei Ning, Zinan Lin, Zixuan Zhou, Huazhong Yang, Yu Wang
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding. CoRR (2023)
Lin Zhao, Hongxuan Li, Xuefei Ning, Xinru Jiang
THInImg: Cross-modal Steganography for Presenting Talking Heads in Images. CoRR (2023)
Hanbo Sun, Zhenhua Zhu, Chenyu Wang, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV (2023)
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective. VTS (2022)
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS. CoRR (2022)
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CVPR (2022)
Yu Wang, Shulin Zeng, Kaiyuan Guo, Xuefei Ning, Yali Zhao, Zhongyuan Qiu, Changcheng Tang, Shuang Liang, Huazhong Yang
Efficient Autonomous Driving System Design: From Software to Hardware. ISVLSI (2022)
Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. DATE (2022)
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CoRR (2022)
Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR (2022)
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS. ECCV (20) (2022)
Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang
TA-GATES: An Encoding Scheme for Neural Network Architectures. NeurIPS (2022)
Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. CVPR Workshops (2022)
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
Fault-Tolerant Deep Learning: A Hierarchical Perspective. CoRR (2022)
Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang
Machine Learning for Electronic Design Automation: A Survey. CoRR (2021)
Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26 (5) (2021)
Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness. CoRR (2021)
Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward. CoRR (2021)
Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks. CoRR (2021)
Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen
FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning. CoRR (2021)
Shuang Liang, Changcheng Tang, Xuefei Ning, Shulin Zeng, Jincheng Yu, Yu Wang, Kaiyuan Guo, Diange Yang, Tianyi Lu, Huazhong Yang
Efficient Computing Platform Design for Autonomous Driving Systems. ASP-DAC (2021)
Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang
Evaluating Efficient Performance Estimators of Neural Architectures. NeurIPS (2021)
Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture. ACM Trans. Design Autom. Electr. Syst. 26 (6) (2021)
Wenshuo Li, Xuefei Ning, Guangjun Ge, Xiaoming Chen, Yu Wang, Huazhong Yang
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. ASP-DAC (2020)
Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. ECCV (3) (2020)
Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang
aw_nas: A Modularized and Extensible NAS framework. CoRR (2020)
Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures. CoRR (2020)
Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator. CoRR (2020)
Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang
Towards Lower Bit Multiplication for Convolutional Neural Network Training. CoRR (2020)
Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. CoRR (2020)
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS. CoRR (2020)
Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang
A Surgery of the Neural Architecture Evaluators. CoRR (2020)
Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. CoRR (2020)
Shulin Zeng, Hanbo Sun, Yu Xing, Xuefei Ning, Yi Shan, Xiaoming Chen, Yu Wang, Huazhong Yang
Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search. ASP-DAC (2020)
Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao
Nonparametric Topic Modeling with Neural Inference. Neurocomputing 399 (2020)
Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities. CoRR (2020)
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. ECCV (13) (2020)
Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang
Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (9) (2019)
Kaiyuan Guo, Shuang Liang, Jincheng Yu, Xuefei Ning, Wenshuo Li, Yu Wang, Huazhong Yang
Compressed CNN Training with FPGA-based Accelerator. FPGA (2019)
Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, Huazhong Yang
Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks. ISVLSI (2018)
Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang
Real-time object detection towards high power efficiency. DATE (2018)
Kaiyuan Guo, Jincheng Yu, Xuefei Ning, Yiming Hu, Yu Wang, Huazhong Yang
RRAM Based Buffer Design for Energy Efficient CNN Accelerator. ISVLSI (2018)
Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang
Nonparametric Topic Modeling with Neural Inference. CoRR (2018)
Jincheng Yu, Guangjun Ge, Yiming Hu, Xuefei Ning, Jiantao Qiu, Kaiyuan Guo, Yu Wang, Huazhong Yang
Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA. ACM Trans. Reconfigurable Technol. Syst. 11 (3) (2018)
Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, Huazhong Yang
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks. CoRR (2018)
Jincheng Yu, Yiming Hu, Xuefei Ning, Jiantao Qiu, Kaiyuan Guo, Yu Wang, Huazhong Yang
Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA. FPT (2017)
Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang
Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems. DAC (2017)