Wei Niu

115 papers A* 30A 5B 1Misc 2Journal 64Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations.
ASPLOS (2)
Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu
2026 J jnl
FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations.
CoRR
Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu
2026 J jnl
From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs.
CoRR
Kaiyuan Deng, Hangyu Zheng, Minghai Qing, Kunxiong Zhu, Gen Li, Yang Xiao, Lan Emily Zhang, Linke Guo, Bo Hui, Yanzhi Wang, Geng Yuan, Gagan Agrawal, Wei Niu, Xiaolong Ma
2026 J jnl
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making.
CoRR
Jun Liu, Pu Zhao, Zhenglun Kong, Xuan Shen, Peiyan Dong, Fan Yang, Lin Cui, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Gaowen Liu, Yanzhi Wang, Dong Huang
2025 A* conf
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction.
CVPR
Yuanbin Man, Ying Huang, Chengming Zhang, Bingzhe Li, Wei Niu, Miao Yin
2025 J jnl
End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost.
CoRR
Qitao Tan, Xiaoying Song, Jin Lu, Guoming Li, Jun Liu, Lingzi Hong, Caiwen Ding, Jundong Li, Xiaoming Zhai, Shaoyi Huang, Wei Niu, Geng Yuan
2025 A* conf
GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting.
CVPR
Yangming Zhang, Wenqi Jia, Wei Niu, Miao Yin
2025 A* conf
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.
AAAI
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 J jnl
MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation.
CoRR
Wentian Zhu, Zhen Xiang, Wei Niu, Le Guan
2025 J jnl
Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices.
ACM Trans. Archit. Code Optim.
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Jun Liu, Mei Zhang, Yanzhi Wang, Xue Lin, Bin Ren
2025 A conf
NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression.
ICS
Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin
2025 J jnl
OUSAC: Optimized Guidance Scheduling with Adaptive Caching for DiT Acceleration.
CoRR
Ruitong Sun, Tianze Yang, Wei Niu, Jin Sun
2025 B conf
Optimizing 3D Gaussian Splattering for Mobile GPUs.
PACT
Md. Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh, AmirAli Mirian, Jiexiong Guan, Wei Niu, Bin Ren, Gagan Agrawal
2025 J jnl
Optimizing 3D Gaussian Splattering for Mobile GPUs.
CoRR
Md. Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh, AmirAli Mirian, Jiexiong Guan, Wei Niu, Bin Ren, Gagan Agrawal
2025 A* conf
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge.
CVPR
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 J jnl
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge.
CoRR
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 J jnl
RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory.
CoRR
Jun Liu, Zhenglun Kong, Changdi Yang, Fan Yang, Tianqi Li, Peiyan Dong, Joannah Nanjekye, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang
2025 Misc conf
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation.
ICASSP
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 J jnl
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation.
CoRR
Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang
2025 A* conf
Sparse Learning for State Space Models on Mobile.
ICLR
Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu
2025 J jnl
Structured Agent Distillation for Large Language Model.
CoRR
Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Tianqi Li, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang
2025 J jnl
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform.
CoRR
Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang
2025 J jnl
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang
2025 A* conf
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment.
AAAI
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 J jnl
Towards Recognizing Food Types for Unseen Subjects.
ACM Trans. Comput. Heal.
Jiexiong Guan, Junjie Wang, Wei Niu, Zhen Peng, Shuangquan Wang, Zhenming Liu, Gang Zhou, Bin Ren
2024 J jnl
AdaCM
CoRR
Yuanbin Man, Ying Huang, Chengming Zhang, Bingzhe Li, Wei Niu, Miao Yin
2024 J jnl
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design.
CoRR
Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma
2024 — conf
Data Overfitting for On-device Super-Resolution with Dynamic Algorithm and Compiler Co-design.
ECCV (67)
Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma
2024 J jnl
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge.
CoRR
Xuan Shen, Zhenglun Kong, Changdi Yang, Zhaoyang Han, Lei Lu, Peiyan Dong, Cheng Lyu, Chih-hsiang Li, Xuehang Guo, Zhihao Shu, Wei Niu, Miriam Leeser, Pu Zhao, Yanzhi Wang
2024 J jnl
Efficient Pruning of Large Language Model with Adaptive Estimation Fusion.
CoRR
Jun Liu, Chao Wu, Changdi Yang, Hao Tang, Haoye Dong, Zhenglun Kong, Geng Yuan, Wei Niu, Dong Huang, Yanzhi Wang
2024 A* conf
Exploring Token Pruning in Vision State Space Models.
NeurIPS
Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
2024 J jnl
Exploring Token Pruning in Vision State Space Models.
CoRR
Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
2024 A* conf
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference.
NeurIPS
Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
2024 J jnl
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference.
CoRR
Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
2024 — conf
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data.
FlexScience@HPDC
Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
2024 J jnl
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data.
CoRR
Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
2024 J jnl
GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting.
CoRR
Yangming Zhang, Wenqi Jia, Wei Niu, Miao Yin
2024 J jnl
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.
CoRR
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
2024 J jnl
NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data.
CoRR
Wenqi Jia, Youyuan Liu, Zhewen Hu, Jinzhen Wang, Boyuan Zhang, Wei Niu, Junzhou Huang, Stavros Kalafatis, Sian Jin, Miao Yin
2024 A* conf
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization.
ICLR
Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma
2024 J jnl
Open-Source Acceleration of Stable-Diffusion.cpp.
CoRR
Jingxu Ng, Cheng Lv, Pu Zhao, Wei Niu, Juyi Lin, Minzhou Pan, Yun Liang, Yanzhi Wang
2024 A* conf
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices.
NeurIPS
Zhihao Shu, Xiaowei Yu, Zihao Wu, Wenqi Jia, Yinchen Shi, Miao Yin, Tianming Liu, Dajiang Zhu, Wei Niu
2024 — conf
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.
ASPLOS (3)
Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
2024 J jnl
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.
CoRR
Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
2024 — conf
SoD
ASPLOS (1)
Wei Niu, Gagan Agrawal, Bin Ren
2024 J jnl
SoD
CoRR
Wei Niu, Gagan Agrawal, Bin Ren
2023 — conf
A Scalable Real-time Semantic Segmentation Network for Autonomous Driving.
AMC-SME
Jun Liu, Chao Wu, Geng Yuan, Wei Niu, Wenbin Zhang, Houbing Herbert Song
2023 — conf
Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices.
USENIX ATC
Hsin-Hsuan Sung, Jou-An Chen, Wei Niu, Jiexiong Guan, Bin Ren, Xipeng Shen
2023 A* conf
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.
CVPR
Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang
2023 J jnl
Survey: Exploiting Data Redundancy for Optimization of Deep Learning.
ACM Comput. Surv.
Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen
2023 J jnl
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.
CoRR
Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song
2023 A* conf
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.
CVPR
Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
2023 J jnl
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.
CoRR
Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
2023 A* conf
Towards Real-Time Segmentation on the Edge.
AAAI
Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang
2022 J jnl
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.
ACM Trans. Design Autom. Electr. Syst.
Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2022 — conf
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning.
ISQED
Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
2022 A conf
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card.
RTAS
Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen
2022 — conf
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.
ECCV (19)
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
2022 J jnl
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.
CoRR
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
2022 A* conf
GCD
MICRO
Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren
2022 J jnl
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2022 J jnl
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
ACM Trans. Embed. Comput. Syst.
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2022 A* conf
Real-Time Portrait Stylization on the Edge.
IJCAI
Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang
2022 J jnl
Real-Time Portrait Stylization on the Edge.
CoRR
Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang
2022 — conf
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning.
ECCV (11)
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 A* conf
SparCL: Sparse Continual Learning on the Edge.
NeurIPS
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022 J jnl
SparCL: Sparse Continual Learning on the Edge.
CoRR
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022 J jnl
Survey: Exploiting Data Redundancy for Optimization of Deep Learning.
CoRR
Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen
2021 A* conf
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices.
AAAI
Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2021 A* conf
A Compression-Compilation Framework for On-mobile Real-time BERT Applications.
IJCAI
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2021 J jnl
A Compression-Compilation Framework for On-mobile Real-time BERT Applications.
CoRR
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2021 J jnl
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search.
CoRR
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin
2021 A* conf
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.
ICCV
Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang
2021 J jnl
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.
CoRR
Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang
2021 J jnl
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.
CoRR
Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2021 A conf
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search.
RTAS
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
2021 A conf
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
ICS
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2021 J jnl
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design.
Commun. ACM
Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao
2021 J jnl
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion.
CoRR
Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
2021 A* conf
DNNFusion: accelerating deep neural networks execution with advanced operator fusion.
PLDI
Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
2021 J jnl
Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card.
CoRR
Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen
2021 J jnl
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity.
CoRR
Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2021 Misc conf
HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms.
HiPC
Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren
2021 A* conf
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.
NeurIPS
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
2021 J jnl
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.
CoRR
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
2021 A* conf
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
CVPR
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 A* conf
Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles.
DAC
Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin
2021 A* conf
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
AAAI
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren
2021 — conf
Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications.
ASP-DAC
Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang
2021 J jnl
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning.
CoRR
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang
2021 A* conf
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices.
IJCAI
Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang
2021 J jnl
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices.
CoRR
Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang
2021 A conf
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
RTAS
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2021 A* conf
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.
AAAI
Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2020 J jnl
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
CoRR
Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
2020 J jnl
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.
CoRR
Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin
2020 — conf
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework.
ACM Great Lakes Symposium on VLSI
Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang
2020 J jnl
Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
CoRR
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren
2020 J jnl
Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.
CoRR
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2020 J jnl
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device.
CoRR
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
2020 J jnl
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2020 — conf
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices.
ECCV (13)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020 J jnl
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices.
CoRR
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020 J jnl
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method.
CoRR
Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
2020 A* conf
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.
AAAI
Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020 A* conf
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning.
ASPLOS
Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2020 J jnl
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning.
CoRR
Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2020 A* conf
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.
DAC
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao
2020 J jnl
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.
CoRR
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao
2020 A* conf
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization.
IJCAI
Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
2020 J jnl
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization.
CoRR
Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
2020 J jnl
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.
CoRR
Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2019 J jnl
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone.
CoRR
Wei Niu, Xiaolong Ma, Yanzhi Wang, Bin Ren
2019 J jnl
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices.
CoRR
Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2017 J jnl
User-aware partitioning algorithm for mobile cloud computing based on maximum graph cuts.
Comput. Networks
Jianwei Niu, Shihao Wang, Wei Niu, Mohammed Atiquzzaman