Xuefei Ning

133 papers A* 30A 9Misc 1Journal 74Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
CD-LLM: A Heterogeneous Multi-FPGA System for Batched Decoding of 70B+ LLMs Using a Compute-Dedicated Architecture.
ACM Trans. Reconfigurable Technol. Syst.
Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Ke Hong, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang
2026 J jnl
CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation.
CoRR
Kaiyi Huang, Yukun Huang, Yu Li, Jianhong Bai, Xintao Wang, Zinan Lin, Xuefei Ning, Jiwen Yu, Pengfei Wan, Yu Wang, Xihui Liu
2026 A* conf
GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration.
AAAI
Kaiyi Huang, Yukun Huang, Xuefei Ning, Zinan Lin, Yu Wang, Xihui Liu
2026 — conf
How Quantization Shapes Bias in Large Language Models.
EACL (Volume 1: Long Papers)
Federico Marcuzzi, Xuefei Ning, Roy Schwartz, Iryna Gurevych
2026 J jnl
SALAD: Achieve High-Sparsity Attention via Efficient Linear Attention Tuning for Video Diffusion Transformer.
CoRR
Tongcheng Fang, Hanling Zhang, Ruiqi Xie, Zhuo Han, Xin Tao, Tianchen Zhao, Pengfei Wan, Wenbo Ding, Wanli Ouyang, Xuefei Ning, Yu Wang
2026 J jnl
Towards Floating Point-Based AI Acceleration: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications.
ACM Trans. Design Autom. Electr. Syst.
Lidong Guo, Zhenhua Zhu, Xuefei Ning, Tengxuan Liu, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang
2026 J jnl
USF++: A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Dongyun Zou, Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
2025 J jnl
A novel object detection model for sugar beet Cercospora leaf spot in field scenarios based on large kernel decomposition and spatial channel interaction attention.
Eng. Appl. Artif. Intell.
Hualong Dong, Yi Lu, Yurong Qian, Xuefei Ning, Ting Chen, Ke Tang
2025 A* conf
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding.
ICLR
Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2025 — conf
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms.
WWW (Companion Volume)
Yuwei Yan, Yu Shang, Qingbin Zeng, Yu Li, Keyu Zhao, Zhiheng Zheng, Xuefei Ning, Tianji Wu, Shengen Yan, Yu Wang, Fengli Xu, Yong Li
2025 J jnl
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms.
CoRR
Yuwei Yan, Yu Shang, Qingbin Zeng, Yu Li, Keyu Zhao, Zhiheng Zheng, Xuefei Ning, Tianji Wu, Shengen Yan, Yu Wang, Fengli Xu, Yong Li
2025 A* conf
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning.
CVPR
Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang
2025 A* conf
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching.
ICLR
Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
2025 J jnl
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation.
CoRR
Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang
2025 — conf
Efficient Inference for Large Language Models -Algorithm, Model, and System.
EMNLP (Tutorial Abstracts)
Xuefei Ning, Guohao Dai, Haoli Bai, Lu Hou, Yu Wang, Qun Liu
2025 A conf
FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture.
FPGA
Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Jiewen Wang, Yuhan Zhang, Hao Guo, Jintao Li, Ziming Zhang, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang
2025 J jnl
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation.
CoRR
Kaiyi Huang, Yukun Huang, Xintao Wang, Zinan Lin, Xuefei Ning, Pengfei Wan, Di Zhang, Yu Wang, Xihui Liu
2025 J jnl
FlashDecoding++Next: High Throughput LLM Inference With Latency and Memory Optimization.
IEEE Trans. Computers
Guohao Dai, Ke Hong, Qiuli Mao, Xiuhong Li, Jiaming Xu, Haofeng Huang, Hongtu Xia, Xuefei Ning, Shengen Yan, Yun Liang, Yu Wang
2025 J jnl
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models.
CoRR
Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
2025 J jnl
How Quantization Shapes Bias in Large Language Models.
CoRR
Federico Marcuzzi, Xuefei Ning, Roy Schwartz, Iryna Gurevych
2025 J jnl
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification.
CoRR
Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin
2025 A* conf
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better.
ICLR
Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2025 A* conf
MBQ: Modality-Balanced Quantization for Large Vision-Language Models.
CVPR
Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2025 J jnl
On the Ability of LLMs to Handle Character-Level Perturbations: How Well and How?
CoRR
Anyuan Zhuo, Xuefei Ning, Ningyuan Li, Yu Wang, Pinyan Lu
2025 A* conf
PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models.
DAC
Xinhao Yang, Tianchen Zhao, Hongyi Wang, Wenheng Ma, Shulin Zeng, Zhenhua Zhu, Xuefei Ning, Huazhong Yang, Yu Wang
2025 A* conf
ProReflow: Progressive Reflow with Decomposed Velocity.
CVPR
Lei Ke, Haohang Xu, Xuefei Ning, Yu Li, Jiajun Li, Haoling Li, Yuxuan Lin, Dongsheng Jiang, Yujiu Yang, Linfeng Zhang
2025 J jnl
ProReflow: Progressive Reflow with Decomposed Velocity.
CoRR
Lei Ke, Haohang Xu, Xuefei Ning, Yu Li, Jiajun Li, Haoling Li, Yuxuan Lin, Dongsheng Jiang, Yujiu Yang, Linfeng Zhang
2025 J jnl
SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation.
CoRR
Yao Teng, Zhihuan Jiang, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2025 — conf
SOLA: Optimizing SLO Attainment for Large Language Model Serving with State-Aware Scheduling.
MLSys
Ke Hong, Xiuhong Li, Lufang Chen, Qiuli Mao, Guohao Dai, Xuefei Ning, Shengen Yan, Yun Liang, Yu Wang
2025 J jnl
ShiftQuant: Toward Accurate and Efficient Sub-8-bit Integer Training.
IEEE Trans. Circuits Syst. Video Technol.
Wenjin Guo, Donglai Liu, Weiying Xie, Yunsong Li, Xuefei Ning, Zihan Meng, Shulin Zeng, Jie Lei, Zhenman Fang, Yu Wang
2025 A* conf
TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core.
HPCA
Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai
2025 J jnl
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free.
CoRR
Evelyn Zhang, Bang Xiao, Jiayi Tang, Qianli Ma, Chang Zou, Xuefei Ning, Xuming Hu, Linfeng Zhang
2025 A* conf
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning.
AAAI
Evelyn Zhang, Jiayi Tang, Xuefei Ning, Linfeng Zhang
2025 A* conf
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation.
ICLR
Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
2024 J jnl
A Survey on Efficient Inference for Large Language Models.
CoRR
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
2024 A* conf
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models.
ICLR
Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
2024 J jnl
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding.
CoRR
Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2024 — conf
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios.
ENLSP
Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang
2024 J jnl
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios.
CoRR
Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang
2024 A* conf
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study.
NeurIPS
Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
2024 J jnl
Can LLMs Learn by Teaching? A Preliminary Study.
CoRR
Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
2024 J jnl
Decouple-Then-Merge: Towards Better Training for Diffusion Models.
CoRR
Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang
2024 J jnl
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis.
CoRR
Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
2024 A* conf
DiTFastAttn: Attention Compression for Diffusion Transformer Models.
NeurIPS
Zhihang Yuan, Hanling Zhang, Lu Pu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
2024 J jnl
DiTFastAttn: Attention Compression for Diffusion Transformer Models.
CoRR
Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
2024 J jnl
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching.
CoRR
Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
2024 A conf
DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator.
DATE
Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang
2024 J jnl
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs.
CoRR
Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024 A* conf
Evaluating Quantized Large Language Models.
ICML
Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024 J jnl
Evaluating Quantized Large Language Models.
CoRR
Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024 A* conf
FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models.
CVPR
Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2024 J jnl
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models.
CoRR
Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2024 A conf
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs.
FPGA
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
2024 J jnl
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs.
CoRR
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
2024 J jnl
GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration.
CoRR
Kaiyi Huang, Yukun Huang, Xuefei Ning, Zinan Lin, Yu Wang, Xihui Liu
2024 J jnl
HetHub: A Heterogeneous distributed hybrid training system for large-scale models.
CoRR
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
2024 J jnl
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K.
CoRR
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
2024 J jnl
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better.
CoRR
Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024 J jnl
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization.
CoRR
Rui Xie, Tianchen Zhao, Zhihang Yuan, Rui Wan, Wenxi Gao, Zhenhua Zhu, Xuefei Ning, Yu Wang
2024 J jnl
MBQ: Modality-Balanced Quantization for Large Vision-Language Models.
CoRR
Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2024 — conf
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.
ECCV (14)
Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024 J jnl
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.
CoRR
Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024 J jnl
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression.
CoRR
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
2024 — conf
Multi-Agent Vulnerability Discovery for Autonomous Driving Policy by Finding AV-Responsible Scenarios.
CASE
Ye Mu, Weilin Liu, Chao Yu, Xuefei Ning, Zhong Cao, Zelai Xu, Shuang Liang, Huazhong Yang, Yu Wang
2024 A* conf
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field.
NeurIPS
Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan (Celine) Lin, Yu Wang
2024 — conf
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better.
Tiny Papers @ ICLR
Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko
2024 A* conf
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation.
ICLR
Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang
2024 A conf
TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning.
WACV
Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang
2024 A conf
THInImg: Cross-modal Steganography for Presenting Talking Heads in Images.
WACV
Lin Zhao, Hongxuan Li, Xuefei Ning, Xinru Jiang
2024 J jnl
Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA.
IEEE Trans. Circuits Syst. Video Technol.
Shiyao Li, Zhenhua Zhu, Hanbo Sun, Xuefei Ning, Guohao Dai, Yiming Hu, Huazhong Yang, Yu Wang
2024 J jnl
Towards Accurate and Efficient Sub-8-Bit Integer Training.
CoRR
Wenjin Guo, Donglai Liu, Weiying Xie, Yunsong Li, Xuefei Ning, Zihan Meng, Shulin Zeng, Jie Lei, Zhenman Fang, Yu Wang
2024 A conf
Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications.
ICCAD
Lidong Guo, Zhenhua Zhu, Tengxuan Liu, Xuefei Ning, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang
2024 J jnl
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation.
CoRR
Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
2023 J jnl
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuefei Ning, Yin Zheng, Zixuan Zhou, Tianchen Zhao, Huazhong Yang, Yu Wang
2023 J jnl
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models.
CoRR
Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
2023 A* conf
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.
ICCV
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
2023 J jnl
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.
CoRR
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
2023 A* conf
DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search.
MICRO
Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang
2023 A* conf
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start".
AAAI
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023 J jnl
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start".
CoRR
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023 A* conf
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness.
AAAI
Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang
2023 J jnl
Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Hanbo Sun, Zhenhua Zhu, Chenyu Wang, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2023 A* conf
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels.
NeurIPS
Zifu Wang, Xuefei Ning, Matthew B. Blaschko
2023 A* conf
Memory-Oriented Structural Pruning for Efficient Image Restoration.
AAAI
Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang
2023 A* conf
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models.
ICML
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
2023 J jnl
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models.
CoRR
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
2023 J jnl
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding.
CoRR
Xuefei Ning, Zinan Lin, Zixuan Zhou, Huazhong Yang, Yu Wang
2023 J jnl
THInImg: Cross-modal Steganography for Presenting Talking Heads in Images.
CoRR
Lin Zhao, Hongxuan Li, Xuefei Ning, Xinru Jiang
2022 J jnl
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS.
CoRR
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
2022 — conf
CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS.
ECCV (20)
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
2022 A* conf
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance.
CVPR
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
2022 J jnl
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance.
CoRR
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
2022 — conf
Efficient Autonomous Driving System Design: From Software to Hardware.
ISVLSI
Yu Wang, Shulin Zeng, Kaiyuan Guo, Xuefei Ning, Yali Zhao, Zhongyuan Qiu, Changcheng Tang, Shuang Liang, Huazhong Yang
2022 J jnl
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang
2022 J jnl
Fault-Tolerant Deep Learning: A Hierarchical Perspective.
CoRR
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
2022 A* conf
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning.
CVPR
Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen
2022 A conf
Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture.
DATE
Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2022 — conf
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks.
CVPR Workshops
Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang
2022 Misc conf
Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective.
VTS
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
2022 A* conf
TA-GATES: An Encoding Scheme for Neural Network Architectures.
NeurIPS
Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang
2021 J jnl
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks.
CoRR
Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang
2021 — conf
Efficient Computing Platform Design for Autonomous Driving Systems.
ASP-DAC
Shuang Liang, Changcheng Tang, Xuefei Ning, Shulin Zeng, Jincheng Yu, Yu Wang, Kaiyuan Guo, Diange Yang, Tianyi Lu, Huazhong Yang
2021 J jnl
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness.
CoRR
Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang
2021 A* conf
Evaluating Efficient Performance Estimators of Neural Architectures.
NeurIPS
Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang
2021 J jnl
FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture.
ACM Trans. Design Autom. Electr. Syst.
Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
2021 J jnl
FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning.
CoRR
Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen
2021 J jnl
Machine Learning for Electronic Design Automation: A Survey.
CoRR
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
2021 J jnl
Machine Learning for Electronic Design Automation: A Survey.
ACM Trans. Design Autom. Electr. Syst.
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
2021 J jnl
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward.
CoRR
Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang
2020 — conf
A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS.
ECCV (13)
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
2020 J jnl
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS.
CoRR
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
2020 J jnl
A Surgery of the Neural Architecture Evaluators.
CoRR
Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang
2020 J jnl
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures.
CoRR
Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang
2020 — conf
Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search.
ASP-DAC
Shulin Zeng, Hanbo Sun, Yu Xing, Xuefei Ning, Yi Shan, Xiaoming Chen, Yu Wang, Huazhong Yang
2020 — conf
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation.
ECCV (3)
Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
2020 J jnl
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation.
CoRR
Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
2020 — conf
FTT-NAS: Discovering Fault-Tolerant Neural Architecture.
ASP-DAC
Wenshuo Li, Xuefei Ning, Guangjun Ge, Xiaoming Chen, Yu Wang, Huazhong Yang
2020 J jnl
FTT-NAS: Discovering Fault-Tolerant Neural Architecture.
CoRR
Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
2020 J jnl
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities.
CoRR
Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang
2020 J jnl
Nonparametric Topic Modeling with Neural Inference.
Neurocomputing
Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao
2020 J jnl
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator.
CoRR
Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang
2020 J jnl
Towards Lower Bit Multiplication for Convolutional Neural Network Training.
CoRR
Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang
2020 J jnl
aw_nas: A Modularized and Extensible NAS framework.
CoRR
Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang
2019 A conf
Compressed CNN Training with FPGA-based Accelerator.
FPGA
Kaiyuan Guo, Shuang Liang, Jincheng Yu, Xuefei Ning, Wenshuo Li, Yu Wang, Huazhong Yang
2019 J jnl
Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang
2018 — conf
Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks.
ISVLSI
Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, Huazhong Yang
2018 J jnl
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks.
CoRR
Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, Huazhong Yang
2018 J jnl
Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA.
ACM Trans. Reconfigurable Technol. Syst.
Jincheng Yu, Guangjun Ge, Yiming Hu, Xuefei Ning, Jiantao Qiu, Kaiyuan Guo, Yu Wang, Huazhong Yang
2018 J jnl
Nonparametric Topic Modeling with Neural Inference.
CoRR
Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang
2018 — conf
RRAM Based Buffer Design for Energy Efficient CNN Accelerator.
ISVLSI
Kaiyuan Guo, Jincheng Yu, Xuefei Ning, Yiming Hu, Yu Wang, Huazhong Yang
2018 A conf
Real-time object detection towards high power efficiency.
DATE
Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang
2017 A* conf
Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems.
DAC
Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang
2017 — conf
Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA.
FPT
Jincheng Yu, Yiming Hu, Xuefei Ning, Jiantao Qiu, Kaiyuan Guo, Yu Wang, Huazhong Yang