Qiang Wang

99 papers A* 17A 7B 8Journal 50Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Castor: Optimizing Deep Learning Job Scheduling in Multi-Tenant GPU Clusters via Intelligent Colocation.
IEEE Trans. Cloud Comput.
Yizhou Luo, Jiaxin Lai, Shaohuai Shi, Chen Chen, Shuhan Qi, Jiajia Zhang, Qiang Wang
2026 J jnl
Distributed scalable multi-agent reinforcement learning with intrinsic-episodic dual exploration.
Future Gener. Comput. Syst.
Shuhan Qi, Shuhao Zhang, Qiang Wang, Jiajia Zhang, Xuan Wang
2026 A* conf
PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling.
AAAI
Sijie Wang, Qiang Wang, Shaohuai Shi
2026 B conf
ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities.
PPoPP
Weile Luo, Yuhan Chen, Xiangrui Yu, Qiang Wang, Ruibo Fan, Hongyuan Liu, Xiaowen Chu
2026 A* conf
SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models.
AAAI
Longteng Zhang, Sen Wu, Shuai Hou, Zhengyu Qing, Zhuo Zheng, Danning Ke, Qihong Lin, Qiang Wang, Shaohuai Shi, Xiaowen Chu
2026 J jnl
Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models.
CoRR
Longteng Zhang, Sen Wu, Shuai Hou, Zhengyu Qing, Zhuo Zheng, Danning Ke, Qihong Lin, Qiang Wang, Shaohuai Shi, Xiaowen Chu
2026 — conf
ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression.
ASPLOS (2)
Ruibo Fan, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, Xiaowen Chu
2026 J jnl
ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression.
CoRR
Ruibo Fan, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, Xiaowen Chu
2025 A* conf
Alibaba Stellar: A New Generation RDMA Network for Cloud AI.
SIGCOMM
Jie Lu, Jiaqi Gao, Fei Feng, Zhiqiang He, Menglei Zheng, Kun Liu, Jun He, Binbin Liao, Suwei Xu, Ke Sun, Yongjia Mo, Qinghua Peng, Jilie Luo, Qingxu Li, Gang Lu, Zishu Wang, Jianbo Dong, Kunling He, Sheng Cheng, Jiamin Cao, Hairong Jiao, Pengcheng Zhang, Shu Ma, Lingjun Zhu, Chao Shi, Yangming Zhang, Yiquan Chen, Wei Wang, Shuhong Zhu, Xingru Li, Qiang Wang, Jiang Liu, Chao Wang, Wei Lin, Ennan Zhai, Jiesheng Wu, Qiang Liu, Binzhang Fu, Dennis Cai
2025 — conf
BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems.
KDD (2)
Yuxin Wang, Yuhan Chen, Zeyu Li, Xueze Kang, Yuchu Fang, Yeju Zhou, Yang Zheng, Zhenheng Tang, Xin He, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu
2025 A* conf
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning.
ACM Multimedia
Penglei Sun, Yaoxian Song, Xiangru Zhu, Xiang Liu, Qiang Wang, Yue Liu, Changqun Xia, Tiefeng Li, Yang Yang, Xiaowen Chu
2025 J jnl
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning.
CoRR
Penglei Sun, Yaoxian Song, Xiangru Zhu, Xiang Liu, Qiang Wang, Yue Liu, Changqun Xia, Tiefeng Li, Yang Yang, Xiaowen Chu
2025 — conf
DeepFill: Accelerating MLLM Training by Filling Bubbles with Frozen Encoders.
ICA3PP (6)
Zhengyu Qing, Shaohuai Shi, Qiang Wang
2025 J jnl
Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis.
CoRR
Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Hongyuan Liu, Qiang Wang, Xiaowen Chu
2025 A* conf
Multi-faceted Complementary Learning for Incomplete Multi-view Multi-label Classification.
ACM Multimedia
Xinyu Xiao, Peixi Peng, Qiang Wang, Chao Xing, Shuhan Qi
2025 A* conf
ParZC: Parametric Zero-Cost Proxies for Efficient NAS.
AAAI
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu
2025 J jnl
PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling.
CoRR
Sijie Wang, Qiang Wang, Shaohuai Shi
2025 A conf
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories.
IROS
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
2025 J jnl
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories.
CoRR
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
2025 A* conf
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs.
ICLR
Peijie Dong, Lujun Li, Yuedong Zhong, Dayou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu
2025 A conf
SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs.
EuroSys
Ruibo Fan, Xiangrui Yu, Peijie Dong, Zeyu Li, Gu Gong, Qiang Wang, Wei Wang, Xiaowen Chu
2025 — conf
SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion.
3DV
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
2025 J jnl
SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion.
CoRR
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
2025 — conf
UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation.
ACL (Findings)
SongTang SongTang, Kaiyong Zhao, Lei Wang, Yuliang Li, Xuebo Liu, Junyi Zou, Qiang Wang, Xiaowen Chu
2024 A* conf
3D Question Answering for City Scene Understanding.
ACM Multimedia
Penglei Sun, Yaoxian Song, Xiang Liu, Xiaofei Yang, Qiang Wang, Tiefeng Li, Yang Yang, Xiaowen Chu
2024 J jnl
3D Question Answering for City Scene Understanding.
CoRR
Penglei Sun, Yaoxian Song, Xiang Liu, Xiaofei Yang, Qiang Wang, Tiefeng Li, Yang Yang, Xiaowen Chu
2024 A conf
Benchmarking and Dissecting the Nvidia Hopper GPU Architecture.
IPDPS
Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Qiang Wang, Xiaowen Chu
2024 J jnl
Benchmarking and Dissecting the Nvidia Hopper GPU Architecture.
CoRR
Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Qiang Wang, Xiaowen Chu
2024 A* conf
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning.
AAAI
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
2024 A* conf
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models.
NeurIPS
Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo
2024 J jnl
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression.
CoRR
Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, Xiaowen Chu
2024 — conf
LPZero: Language Model Zero-cost Proxy Search from Zero.
EMNLP (Findings)
Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu
2024 J jnl
LPZero: Language Model Zero-cost Proxy Search from Zero.
CoRR
Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu
2024 J jnl
Multi-Task Domain Adaptation for Language Grounding with 3D Objects.
CoRR
Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu
2024 — conf
Multi-task Domain Adaptation for Language Grounding with 3D Objects.
ECCV (34)
Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu
2024 J jnl
ParZC: Parametric Zero-Cost Proxies for Efficient NAS.
CoRR
Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu
2024 A* conf
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models.
ICML
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
2024 J jnl
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models.
CoRR
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
2024 J jnl
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs.
CoRR
Peijie Dong, Lujun Li, Dayou Du, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Wenhan Luo, Qifeng Liu, Yike Guo, Xiaowen Chu
2024 A conf
ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling.
EuroSys
Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu
2024 B conf
Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing.
IWQoS
Yizhou Luo, Qiang Wang, Shaohuai Shi, Jiaxin Lai, Shuhan Qi, Jiajia Zhang, Xuan Wang
2024 J jnl
Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing.
CoRR
Yizhou Luo, Qiang Wang, Shaohuai Shi, Jiaxin Lai, Shuhan Qi, Jiajia Zhang, Xuan Wang
2024 J jnl
Towards Efficient and Reliable LLM Serving: A Real-World Workload Study.
CoRR
Yuxin Wang, Yuhan Chen, Zeyu Li, Zhenheng Tang, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu
2023 J jnl
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning.
CoRR
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
2023 A* conf
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface.
ACM Multimedia
Ruiqi Zhang, Jie Chen, Qiang Wang
2023 J jnl
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface.
CoRR
Ruiqi Zhang, Jie Chen, Qiang Wang
2023 J jnl
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs.
CoRR
Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu
2023 A* conf
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity.
AAAI
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng
2023 J jnl
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Shuhan Qi, Shuhao Zhang, Qiang Wang, Jiajia Zhang, Jing Xiao, Xuan Wang
2022 — conf
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching.
ECCV (32)
Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu
2022 J jnl
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching.
CoRR
Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu
2022 J jnl
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters.
IEEE Trans. Parallel Distributed Syst.
Qiang Wang, Xinxin Mei, Hai Liu, Yiu-Wing Leung, Zongpeng Li, Xiaowen Chu
2022 J jnl
Energy-Efficient Online Scheduling of Transformer Inference Services on GPU Servers.
IEEE Trans. Green Commun. Netw.
Yuxin Wang, Qiang Wang, Xiaowen Chu
2022 J jnl
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity.
CoRR
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng
2022 J jnl
Scale-Consistent Fusion: From Heterogeneous Local Sampling to Global Immersive Rendering.
IEEE Trans. Image Process.
Wenpeng Xing, Jie Chen, Zaifeng Yang, Qiang Wang, Yike Guo
2022 — conf
SphereDepth: Panorama Depth Estimation from Spherical Domain.
3DV
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng
2022 J jnl
SphereDepth: Panorama Depth Estimation from Spherical Domain.
CoRR
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng
2021 A* conf
EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual.
CVPR
Songyan Zhang, Zhicheng Wang, Qiang Wang, Jinshuo Zhang, Gang Wei, Xiaowen Chu
2021 J jnl
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters.
CoRR
Xinxin Mei, Qiang Wang, Xiaowen Chu, Hai Liu, Yiu-Wing Leung, Zongpeng Li
2021 J jnl
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks.
CoRR
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu
2021 A conf
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation.
ICME
Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu
2021 J jnl
Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering.
CoRR
Wenpeng Xing, Jie Chen, Zaifeng Yang, Qiang Wang
2020 B conf
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training.
CCGRID
Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu
2020 J jnl
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs.
CoRR
Qiang Wang, Shaohuai Shi, Canhui Wang, Xiaowen Chu
2020 A* conf
Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs.
INFOCOM
Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li, Yang Qin, Ruihao Liu, Xinxiao Zhao
2020 J jnl
ESetStore: An Erasure-Coded Storage System With Fast Data Recovery.
IEEE Trans. Parallel Distributed Syst.
Chengjian Liu, Qiang Wang, Xiaowen Chu, Yiu-Wing Leung, Hai Liu
2020 B conf
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format.
ICPADS
Shaohuai Shi, Qiang Wang, Xiaowen Chu
2020 J jnl
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format.
CoRR
Shaohuai Shi, Qiang Wang, Xiaowen Chu
2020 — conf
Energy-efficient Inference Service of Transformer-based Deep Learning Models on GPUs.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Yuxin Wang, Qiang Wang, Xiaowen Chu
2020 A* conf
FADNet: A Fast and Accurate Network for Disparity Estimation.
ICRA
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu
2020 J jnl
FADNet: A Fast and Accurate Network for Disparity Estimation.
CoRR
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu
2020 J jnl
GPGPU Performance Estimation With Core and Memory Frequency Scaling.
IEEE Trans. Parallel Distributed Syst.
Qiang Wang, Xiaowen Chu
2020 — conf
GPGPU performance estimation for frequency scaling using cross-benchmarking.
GPGPU@PPoPP
Qiang Wang, Chengjian Liu, Xiaowen Chu
2020 A conf
Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees.
ECAI
Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
2019 A* conf
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification.
IJCAI
Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu
2019 A conf
A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks.
ICDCS
Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu
2019 J jnl
A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks.
CoRR
Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu
2019 J jnl
IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation.
CoRR
Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu
2019 J jnl
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees.
CoRR
Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
2019 — conf
The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study.
e-Energy
Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu
2019 J jnl
The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study.
CoRR
Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu
2018 B conf
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning.
ICPADS
Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li
2018 J jnl
G-CRS: GPU Accelerated Cauchy Reed-Solomon Coding.
IEEE Trans. Parallel Distributed Syst.
Chengjian Liu, Qiang Wang, Xiaowen Chu, Yiu-Wing Leung
2018 B conf
GPGPU Performance Estimation with Core and Memory Frequency Scaling.
ICPADS
Qiang Wang, Xiaowen Chu
2018 J jnl
Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs.
CoRR
Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li
2018 — conf
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs.
DASC/PiCom/DataCom/CyberSciTech
Shaohuai Shi, Qiang Wang, Xiaowen Chu
2017 J jnl
A survey and measurement study of GPU DVFS on energy conservation.
Digit. Commun. Networks
Xinxin Mei, Qiang Wang, Xiaowen Chu
2017 J jnl
An optimal parallel implementation of Markov Clustering based on the coordination of CPU and GPU.
J. Intell. Fuzzy Syst.
Luwei He, Lu Lu, Qiang Wang
2017 — conf
EPPMiner: An Extended Benchmark Suite for Energy, Power and Performance Characterization of Heterogeneous Architecture.
e-Energy
Qiang Wang, Pengfei Xu, Yatao Zhang, Xiaowen Chu
2017 J jnl
GPGPU Performance Estimation with Core and Memory Frequency Scaling.
CoRR
Qiang Wang, Xiaowen Chu
2017 J jnl
GPGPU Power Estimation with Core and Memory Frequency Scaling.
SIGMETRICS Perform. Evaluation Rev.
Qiang Wang, Xiaowen Chu
2016 J jnl
A Survey and Measurement Study of GPU DVFS on Energy Conservation.
CoRR
Xinxin Mei, Qiang Wang, Xiaowen Chu
2016 — conf
Benchmarking State-of-the-Art Deep Learning Software Tools.
CCBD
Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu
2016 J jnl
Benchmarking State-of-the-Art Deep Learning Software Tools.
CoRR
Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu
2013 — conf
On-line configuration of large scale surveillance networks using mobile smart camera.
ICDSC
Qiang Wang, Jing Wu, Chengnian Long
2013 J jnl
P-FAD: Real-Time Face Detection Scheme on Embedded Smart Cameras.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Qiang Wang, Jing Wu, Chengnian Long, Bo Li
2012 B conf
Missing categorical data imputation approach based on similarity.
SMC
Sen Wu, Xiaodong Feng, Yushan Han, Qiang Wang
2012 — conf
P-FAD: Real-time face detection scheme on embedded smart cameras.
ICDSC
Qiang Wang, Jing Wu, Chengnian Long, Bo Li
2012 B conf
RaFFD: Resource-aware Fast Foreground Detection in embedded smart cameras.
GLOBECOM
Qiang Wang, Pu Zhou, Jing Wu, Chengnian Long