RaFFD: Resource-aware Fast Foreground Detection in embedded smart cameras. - Qiang Wang 022; Pu Zhou; Jing Wu 006; Chengnian Long (GLOBECOM, 2012)

On-line configuration of large scale surveillance networks using mobile smart camera. - Qiang Wang 022; Jing Wu 006; Chengnian Long (ICDSC, 2013)

P-FAD: Real-Time Face Detection Scheme on Embedded Smart Cameras. - Qiang Wang 022; Jing Wu 006; Chengnian Long; Bo Li 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2013)

Benchmarking State-of-the-Art Deep Learning Software Tools. - Shaohuai Shi; Qiang Wang 022; Pengfei Xu 006; Xiaowen Chu 001 (CCBD, 2016)

EPPMiner: An Extended Benchmark Suite for Energy, Power and Performance Characterization of Heterogeneous Architecture. - Qiang Wang 022; Pengfei Xu 006; Yatao Zhang; Xiaowen Chu 001 (e-Energy, 2017)

A survey and measurement study of GPU DVFS on energy conservation. - Xinxin Mei; Qiang Wang 022; Xiaowen Chu 001 (Digit. Commun. Networks, 2017)

An optimal parallel implementation of Markov Clustering based on the coordination of CPU and GPU. - Luwei He; Lu Lu; Qiang Wang 022 (J. Intell. Fuzzy Syst., 2017)

GPGPU Power Estimation with Core and Memory Frequency Scaling. - Qiang Wang 022; Xiaowen Chu 001 (SIGMETRICS Perform. Evaluation Rev., 2017)

Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs. - Shaohuai Shi; Qiang Wang 022; Xiaowen Chu 001 (DASC/PiCom/DataCom/CyberSciTech, 2018)

A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning. - Shaohuai Shi; Qiang Wang 022; Xiaowen Chu 001; Bo Li 001 (ICPADS, 2018)

Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs. - Shaohuai Shi; Qiang Wang 022; Xiaowen Chu 001; Bo Li 001 (CoRR, 2018)

G-CRS: GPU Accelerated Cauchy Reed-Solomon Coding. - Chengjian Liu; Qiang Wang 022; Xiaowen Chu 001; Yiu-Wing Leung (IEEE Trans. Parallel Distributed Syst., 2018)

The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study. - Zhenheng Tang; Yuxin Wang 003; Qiang Wang 022; Xiaowen Chu 001 (e-Energy, 2019)

A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. - Shaohuai Shi; Qiang Wang 022; Kaiyong Zhao; Zhenheng Tang; Yuxin Wang 003; Xiang Huang; Xiaowen Chu 001 (ICDCS, 2019)

A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. - Shaohuai Shi; Kaiyong Zhao; Qiang Wang 022; Zhenheng Tang; Xiaowen Chu 001 (IJCAI, 2019)

IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation. - Qiang Wang 022; Shizhen Zheng; Qingsong Yan; Fei Deng; Kaiyong Zhao; Xiaowen Chu 001 (CoRR, 2019)

Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training. - Yuxin Wang 003; Qiang Wang 022; Shaohuai Shi; Xin He; Zhenheng Tang; Kaiyong Zhao; Xiaowen Chu 001 (CCGRID, 2020)

Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. - Shaohuai Shi; Zhenheng Tang; Qiang Wang 022; Kaiyong Zhao; Xiaowen Chu 001 (ECAI, 2020)

Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. - Shaohuai Shi; Qiang Wang 022; Xiaowen Chu 001 (ICPADS, 2020)

FADNet: A Fast and Accurate Network for Disparity Estimation. - Qiang Wang 022; Shaohuai Shi; Shizhen Zheng; Kaiyong Zhao; Xiaowen Chu 001 (ICRA, 2020)

Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs. - Shaohuai Shi; Qiang Wang 022; Xiaowen Chu 001; Bo Li 001; Yang Qin 001; Ruihao Liu; Xinxiao Zhao (INFOCOM, 2020)

Energy-efficient Inference Service of Transformer-based Deep Learning Models on GPUs. - Yuxin Wang 003; Qiang Wang 022; Xiaowen Chu 001 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

GPGPU performance estimation for frequency scaling using cross-benchmarking. - Qiang Wang 022; Chengjian Liu; Xiaowen Chu 001 (GPGPU@PPoPP, 2020)

Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs. - Qiang Wang 022; Shaohuai Shi; Canhui Wang; Xiaowen Chu 001 (CoRR, 2020)

ESetStore: An Erasure-Coded Storage System With Fast Data Recovery. - Chengjian Liu; Qiang Wang 022; Xiaowen Chu 001; Yiu-Wing Leung; Hai Liu 001 (IEEE Trans. Parallel Distributed Syst., 2020)

GPGPU Performance Estimation With Core and Memory Frequency Scaling. - Qiang Wang 022; Xiaowen Chu 001 (IEEE Trans. Parallel Distributed Syst., 2020)

EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual. - Songyan Zhang; Zhicheng Wang; Qiang Wang 022; Jinshuo Zhang; Gang Wei; Xiaowen Chu 001 (CVPR, 2021)

IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation. - Qiang Wang 022; Shizhen Zheng; Qingsong Yan; Fei Deng; Kaiyong Zhao; Xiaowen Chu 001 (ICME, 2021)

Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters. - Xinxin Mei; Qiang Wang 022; Xiaowen Chu 001; Hai Liu 001; Yiu-Wing Leung; Zongpeng Li (CoRR, 2021)

Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering. - Wenpeng Xing; Jie Chen 026; Zaifeng Yang; Qiang Wang 022 (CoRR, 2021)

FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks. - Qiang Wang 022; Shaohuai Shi; Shizhen Zheng; Kaiyong Zhao; Xiaowen Chu 001 (CoRR, 2021)

SphereDepth: Panorama Depth Estimation from Spherical Domain. - Qingsong Yan; Qiang Wang 022; Kaiyong Zhao; Bo Li 001; Xiaowen Chu 001; Fei Deng (3DV, 2022)

EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. - Qiang Wang 022; Shaohuai Shi; Kaiyong Zhao; Xiaowen Chu 001 (ECCV (32), 2022)

Energy-Efficient Online Scheduling of Transformer Inference Services on GPU Servers. - Yuxin Wang 003; Qiang Wang 022; Xiaowen Chu 001 (IEEE Trans. Green Commun. Netw., 2022)

Scale-Consistent Fusion: From Heterogeneous Local Sampling to Global Immersive Rendering. - Wenpeng Xing; Jie Chen 026; Zaifeng Yang; Qiang Wang 022; Yike Guo (IEEE Trans. Image Process., 2022)

Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters. - Qiang Wang 022; Xinxin Mei; Hai Liu 001; Yiu-Wing Leung; Zongpeng Li; Xiaowen Chu 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. - Qingsong Yan; Qiang Wang 022; Kaiyong Zhao; Bo Li 001; Xiaowen Chu 001; Fei Deng (AAAI, 2023)

Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface. - Ruiqi Zhang; Jie Chen 026; Qiang Wang 022 (ACM Multimedia, 2023)

SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning. - Shuhan Qi; Shuhao Zhang 009; Qiang Wang 022; Jiajia Zhang 001; Jing Xiao 006; Xuan Wang 002 (CoRR, 2023)

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. - Zhenheng Tang; Yuxin Wang 003; Xin He; Longteng Zhang; Xinglin Pan; Qiang Wang 022; Rongfei Zeng; Kaiyong Zhao; Shaohuai Shi; Bingsheng He; Xiaowen Chu 001 (CoRR, 2023)

CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. - Qingsong Yan; Qiang Wang 022; Kaiyong Zhao; Jie Chen 026; Bo Li 001; Xiaowen Chu 001; Fei Deng (AAAI, 2024)

Multi-task Domain Adaptation for Language Grounding with 3D Objects. - Penglei Sun; Yaoxian Song; Xinglin Pan; Peijie Dong; Xiaofei Yang 002; Qiang Wang 022; Zhixu Li; Tiefeng Li; Xiaowen Chu 001 (ECCV (34), 2024)

LPZero: Language Model Zero-cost Proxy Search from Zero. - Peijie Dong; Lujun Li 001; Xiang Liu 001; Zhenheng Tang; Xuebo Liu 002; Qiang Wang 022; Xiaowen Chu 001 (EMNLP (Findings), 2024)

ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. - Shaohuai Shi; Xinglin Pan; Qiang Wang 022; Chengjian Liu; Xiaozhe Ren; Zhongzhe Hu; Yu Yang; Bo Li 001; Xiaowen Chu 001 (EuroSys, 2024)

Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models. - Peijie Dong; Lujun Li 001; Zhenheng Tang; Xiang Liu 001; Xinglin Pan; Qiang Wang 022; Xiaowen Chu 001 (ICML, 2024)

Benchmarking and Dissecting the Nvidia Hopper GPU Architecture. - Weile Luo; Ruibo Fan; Zeyu Li; Dayou Du; Qiang Wang 022; Xiaowen Chu 001 (IPDPS, 2024)

Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing. - Yizhou Luo; Qiang Wang 022; Shaohuai Shi; Jiaxin Lai; Shuhan Qi; Jiajia Zhang 001; Xuan Wang 002 (IWQoS, 2024)

3D Question Answering for City Scene Understanding. - Penglei Sun; Yaoxian Song; Xiang Liu 001; Xiaofei Yang 002; Qiang Wang 022; Tiefeng Li; Yang Yang 001; Xiaowen Chu 001 (ACM Multimedia, 2024)

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models. - Lujun Li 001; Peijie Dong; Zhenheng Tang; Xiang Liu 001; Qiang Wang 022; Wenhan Luo; Wei Xue 002; Qifeng Liu; Xiaowen Chu 001; Yike Guo (NeurIPS, 2024)

Towards Efficient and Reliable LLM Serving: A Real-World Workload Study. - Yuxin Wang 003; Yuhan Chen; Zeyu Li; Zhenheng Tang; Rui Guo; Xin Wang; Qiang Wang 022; Amelie Chi Zhou; Xiaowen Chu 001 (CoRR, 2024)

ParZC: Parametric Zero-Cost Proxies for Efficient NAS. - Peijie Dong; Lujun Li 001; Xinglin Pan; Zimian Wei; Xiang Liu 001; Qiang Wang 022; Xiaowen Chu 001 (CoRR, 2024)

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. - Peijie Dong; Lujun Li 001; Dayou Du; Yuhan Chen; Zhenheng Tang; Qiang Wang 022; Wei Xue 002; Wenhan Luo; Qifeng Liu; Yike Guo; Xiaowen Chu 001 (CoRR, 2024)

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. - Zhenheng Tang; Xueze Kang; Yiming Yin; Xinglin Pan; Yuxin Wang 003; Xin He; Qiang Wang 022; Rongfei Zeng; Kaiyong Zhao; Shaohuai Shi; Amelie Chi Zhou; Bo Li 001; et al. (CoRR, 2024)

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion. - Qingsong Yan; Qiang Wang 022; Kaiyong Zhao; Jie Chen 026; Bo Li 001; Xiaoweo Chu; Fei Deng (3DV, 2025)

ParZC: Parametric Zero-Cost Proxies for Efficient NAS. - Peijie Dong; Lujun Li 001; Zhenheng Tang; Xiang Liu 001; Zimian Wei; Qiang Wang 022; Xiaowen Chu 001 (AAAI, 2025)

UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation. - SongTang SongTang; Kaiyong Zhao; Lei Wang; Yuliang Li; Xuebo Liu 002; Junyi Zou; Qiang Wang 022; Xiaowen Chu 001 (ACL (Findings), 2025)

SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs. - Ruibo Fan; Xiangrui Yu; Peijie Dong; Zeyu Li; Gu Gong; Qiang Wang 022; Wei Wang 030; Xiaowen Chu 001 (EuroSys, 2025)

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. - Peijie Dong; Lujun Li 001; Yuedong Zhong; Dayou Du; Ruibo Fan; Yuhan Chen; Zhenheng Tang; Qiang Wang 022; Wei Xue 002; Yike Guo; Xiaowen Chu 001 (ICLR, 2025)

Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis. - Weile Luo; Ruibo Fan; Zeyu Li; Dayou Du; Hongyuan Liu 002; Qiang Wang 022; Xiaowen Chu 001 (CoRR, 2025)

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion. - Qingsong Yan; Qiang Wang 022; Kaiyong Zhao; Jie Chen 026; Bo Li 001; Xiaowen Chu 001; Fei Deng (CoRR, 2025)

RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories. - Qingsong Yan; Qiang Wang 022; Kaiyong Zhao; Jie Chen 026; Bo Li 001; Xiaowen Chu 001; Fei Deng (CoRR, 2025)

City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning. - Penglei Sun; Yaoxian Song; Xiangru Zhu; Xiang Liu 001; Qiang Wang 022; Yue Liu; Changqun Xia; Tiefeng Li; Yang Yang 001; Xiaowen Chu 001 (CoRR, 2025)

Distributed scalable multi-agent reinforcement learning with intrinsic-episodic dual exploration. - Shuhan Qi; Shuhao Zhang 009; Qiang Wang 022; Jiajia Zhang 001; Xuan Wang 002 (Future Gener. Comput. Syst., 2026)