Ting Cao

According to our database, Ting Cao authored at least 118 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A BiFPN-SECA detection network for foreign objects on top of railway freight vehicles.

Sheng Liu, Yiqing Yang, Ting Cao, Yi Zhu

Signal Image Video Process., December, 2024

Adaptive and flexible ℓ ₁-norm graph embedding for unsupervised feature selection.

Kun Jiang, Ting Cao, Lei Zhu, Qindong Sun

Appl. Intell., November, 2024

VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations.

Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He

IEEE Trans. Computers, October, 2024

Accelerating predictions of electronic transport and superconductivity.

Ting Cao

Nat. Comput. Sci., August, 2024

HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception.

Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Youngki Lee, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu

IEEE Trans. Mob. Comput., May, 2024

Ripple: Accelerating LLM Inference on Smartphones with Correlation-Aware Neuron Management.

Tuowei Wang, Ruwen Fan, Minxing Huang, Zixu Hao, Kun Li, Ting Cao, Youyou Lu, Yaoxue Zhang, Ju Ren

CoRR, 2024

Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling.

Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu

CoRR, 2024

SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.

Yizhao Gao, Zhichen Zeng, Dayou Du, Shijie Cao, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang

CoRR, 2024

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration.

Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang

CoRR, 2024

Advancing Multi-Modal Sensing Through Expandable Modality Alignment.

Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu

CoRR, 2024

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge.

Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang

CoRR, 2024

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance.

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu

CoRR, 2024

ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores.

Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.

Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search.

Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Poster: Design of Elastic Deep Neural Network Candidate Spaces for Inference on Diverse Devices.

Jeongho Won, Ting Cao, Huiqiang Jiang, Junehwa Song

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization.

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices.

Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference.

Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Cross-Domain Activity Recognition Based on Stacked Transfer Network.

Junhuai Li, Jingyi Cao, Yuxing Zhi, Huaijun Wang, Ting Cao, Rong Fei

Proceedings of the International Joint Conference on Neural Networks, 2024

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.

Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection.

Guoxuan Mao, Ting Cao, Ziyang Li, Yuan Dong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Fine-Grained Tri-Modal Interaction Model for Multimodal Sentiment Analysis.

Yuxing Zhi, Junhuai Li, Huaijun Wang, Jing Chen, Ting Cao

Proceedings of the IEEE International Conference on Acoustics, 2024

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models.

Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hybrid SLM and LLM for Edge-Cloud Collaborative Inference.

Zixu Hao, Huiqiang Jiang, Shiqi Jiang, Ju Ren, Ting Cao

Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization.

Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

AFPQ: Asymmetric Floating Point Quantization for LLMs.

Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation.

Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Generated Pseudo-Labels Guided by Background Skeletons for Overcoming Under-Segmentation in Overlapping Particle Objects.

Jinshi Liu, Zhaohui Jiang, Ting Cao, Zhiwen Chen, Chaobo Zhang, Weihua Gui

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Pavement Crack Detection Based on 3D Edge Representation and Data Communication With Digital Twins.

Ting Cao, Yuhang Wang, Sheng Liu

IEEE Trans. Intell. Transp. Syst., 2023

Multi-focus image fusion based on gradient tensor HOSVD.

Puming Wang, Ting Cao, Xue Li, Xin Jin, Peng Liu, Wei Zhou, Ruxin Wang, Shiyu Chen

J. Electronic Imaging, 2023

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations.

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

CoRR, 2023

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference.

Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang, Minsoo Rhu

CoRR, 2023

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.

Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu

CoRR, 2023

Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing.

Kun Li, Zhichun Li, Yuetao Chen, Zixuan Wang, Yiwei Zhang, Liang Yuan, Haipeng Jia, Yunquan Zhang, Ting Cao, Mao Yang

CoRR, 2023

LUT-NN: Towards Unified Neural Network Inference by Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

CoRR, 2023

Boosting DNN Cold Inference on Edge Devices.

Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors.

Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning.

Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.

Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Accurate and Structured Pruning for Efficient Automatic Speech Recognition.

Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference.

Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices.

Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training.

Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

A Fractional Integral and Fractal Dimension-Based Deep Learning Approach for Pavement Crack Detection in Transportation Service Management.

Ting Cao, Lei Liu, Kan Wang, Junhuai Li

IEEE Trans. Netw. Serv. Manag., December, 2022

A Novel, Efficient, Green and Real-Time Load Balancing Algorithm for 5G Network Measurement Report Collecting Clusters.

Pengfei Zhang, Junhuai Li, Ye Tang, Huaijun Wang, Ting Cao

J. Circuits Syst. Comput., December, 2022

A Coke Detection Method Based on Reweighting a Composite Feature for Mixed Material Recognition and Quantification.

Zhaohui Jiang, Jinhua Yu, Jinshi Liu, Zhiwen Chen, Weihua Gui, Ting Cao

IEEE Trans. Instrum. Meas., 2022

A frequency-aware management strategy for virtual machines in DVFS-enabled clouds.

Jianzhou Mao, Xiaopu Peng, Ting Cao, Tathagata Bhattacharya, Xiao Qin

Sustain. Comput. Informatics Syst., 2022

Enhanced Edge Detection for 3D Crack Segmentation and Depth Measurement with Laser Data.

Ting Cao, Jinyuan Hu, Sheng Liu

Int. J. Pattern Recognit. Artif. Intell., 2022

Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices.

Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu

CoRR, 2022

Performance modeling for I/O-intensive applications on virtual machines.

Tathagata Bhattacharya, Xiaopu Peng, Jianzhou Mao, Chaowei Zhang, Taha Takreeti, Ye Wang, Ting Cao, Xiao Qin

Concurr. Comput. Pract. Exp., 2022

Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers.

Xiaopu Peng, Tathagata Bhattacharya, Ting Cao, Jianzhou Mao, Taha Khalid Al Tekreeti, Xiao Qin

Big Data Res., 2022

Non-intrusive load monitoring method with inception structured CNN.

Dong Ding, Junhuai Li, Kuo Zhang, Huaijun Wang, Kan Wang, Ting Cao

Appl. Intell., 2022

Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL.

Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Turbo: Opportunistic Enhancement for Edge Video Analytics.

Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Energy-efficient Management of Data Centers using a Renewable-aware Scheduler.

Xiaopu Peng, Tathagata Bhattacharya, Jianzhou Mao, Ting Cao, Chao Jiang, Xiao Qin

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

Accelerating the Energy Efficient Design of Traditional Data Centers Through Modeling^*.

Tathagata Bhattacharya, Xiaopu Peng, Taha Takreeti, Jianzhou Mao, Ting Cao, Xiao Qin, Mostafa Rahgouy

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

DDF-GAN: A Generative Adversarial Network with Dual-Discriminator for Multi-Focus Image Fusion.

Shiyu Chen, Xin Jin, Qian Jiang, Jie Yang, Ting Cao, Xiuliang Xi, Yunyun Dong

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices.

Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

MobiDepth: real-time depth estimation using on-device dual cameras.

Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Romou: rapidly generate high-performance tensor kernels for mobile GPUs.

Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains.

Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance.

Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Locating Identities in Time: An Examination of the Formation and Impact of Temporality on Presentations of the Self through Location-Based Social Networks.

Konstantinos Papangelis, Ioanna Lykourentzou, Vassilis-Javed Khan, Alan Chamberlain, Ting Cao, Michael Saker, Nicolas J. LaLone

ACM Trans. Soc. Comput., 2021

Unified Holistic Memory Management Supporting Multiple Big Data Processing Frameworks over Hybrid Memories.

Lei Chen, Jiacheng Zhao, Chenxi Wang, Ting Cao, John N. Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu, Huimin Cui

ACM Trans. Comput. Syst., 2021

nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices.

Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu

GetMobile Mob. Comput. Commun., 2021

Depth Image Vibration Filtering and Shadow Detection Based on Fusion and Fractional Differential.

Ting Cao, Pengjia Tu, Weixing Wang

Int. J. Pattern Recognit. Artif. Intell., 2021

The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm.

Changrui Cui, Junhuai Li, Dandan Du, Huaijun Wang, Pengjia Tu, Ting Cao

IEEE Access, 2021

Energy-Aware Privacy Controls for Clouds.

Jianzhou Mao, Ting Cao, Xiaopu Peng, Tathagata Bhattacharya, Wei-Shinn Ku, Xiao Qin

Proceedings of the 3rd IEEE International Conference on Trust, 2021

DDoS Detection Systems for Cloud Data Storage.

Ting Cao, Jianzhou Mao, Tathagata Bhattacharya, Xiaopu Peng, Wei-Shinn Ku, Xiao Qin

Proceedings of the 3rd IEEE International Conference on Trust, 2021

Towards Energy-Efficient and Real-Time Cloud Computing.

Taha Khalid Al Tekreeti, Ting Cao, Xiaopu Peng, Tathagata Bhattacharya, Jianzhou Mao, Xiao Qin, Wei-Shinn Ku

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices.

Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu

Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

AsyMo: scalable and efficient deep-learning inference on asymmetric mobile CPUs.

Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks.

Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Insights and Lessons Learned from the Design, Development and Deployment of Pervasive Location-Based Mobile Systems "in the Wild".

Konstantinos Papangelis, Alan Chamberlain, Nicolas J. LaLone, Ting Cao

Proceedings of the Design, User Experience, and Usability: Design for Contemporary Technological Environments, 2021

Smartphones-Based Non-contact Children's Posture Evaluation.

Yue Li, Junhuai Li, Kan Wang, Ting Cao, Huaijun Wang

Proceedings of the Wireless Sensor Networks - 15th China Conference, 2021

Signal Processing Analysis in the Context of Big Data.

Jianliang Qiao, Ting Cao

Proceedings of the Cyber Security Intelligence and Analytics, 2021

A Condition Prediction Method of Blast Furnace Based on Flame Morphology Information.

Ting Cao, Zhaohui Jiang, Zhiwen Chen, Weihua Gui, Jinshi Liu, Jiancai Huang

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

Performing the Digital Self: Understanding Location-Based Social Networking, Territory, Space, and Identity in the City.

Konstantinos Papangelis, Alan Chamberlain, Ioanna Lykourentzou, Vassilis-Javed Khan, Michael Saker, Hai-Ning Liang, Irwyn Sadien, Ting Cao

ACM Trans. Comput. Hum. Interact., 2020

Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques.

Huaijun Wang, Jing Zhao, Junhuai Li, Ling Tian, Pengjia Tu, Ting Cao, Yang An, Kan Wang, Shancang Li

Secur. Commun. Networks, 2020

A popularity-aware reconstruction technique in erasure-coded storage systems.

Ting Cao, Xiaopu Peng, Chaowei Zhang, Taha Khalid Al Tekreeti, Jianzhou Mao, Xiao Qin, Jianzhong Huang

J. Parallel Distributed Comput., 2020

Differential Evolution Optimized a Second-Order Divided Difference Particle Filter.

Ting Cao, Huotao Gao, Chunfeng Sun, Guobao Ru

J. Electr. Comput. Eng., 2020

webTDat: A Web-Based, Real-Time, 3D Visualization Framework for Mesoscopic Whole-Brain Images.

Yuxin Li, Anan Li, Junhuai Li, Hongfang Zhou, Ting Cao, Huaijun Wang, Kan Wang

Frontiers Neuroinformatics, 2020

Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program.

Ritu Arora, Xiaosong Li, Bonnie Hurwitz, Daniel Fay, Dhabaleswar K. Panda, Edward F. Valeev, Shaowen Wang, Shirley Moore, Sunita Chandrasekaran, Ting Cao, Holly Bik, Matthew Curry, Tanzima Z. Islam

CoRR, 2020

Dance Emotion Recognition Based on Laban Motion Analysis Using Convolutional Neural Network and Long Short-Term Memory.

Simin Wang, Junhuai Li, Ting Cao, Huaijun Wang, Pengjia Tu, Yue Li

IEEE Access, 2020

Electric Vehicle Charging Warning and Path Planning Method Based on Spark.

Dong Ding, Junhuai Li, Pengjia Tu, Huaijun Wang, Ting Cao, Facun Zhang

IEEE Access, 2020

Security-Aware Energy Management in Clouds.

Jianzhou Mao, Ting Cao, Xiaopu Peng, Tathagata Bhattacharya, Wei-Shinn Ku, Xiao Qin

Proceedings of the Second IEEE International Conference on Trust, 2020

Data Security and Malware Detection in Cloud Storage Services.

Ting Cao, Jianzhou Mao, Tathagata Bhattacharya, Xiaopu Peng, Wei-Shinn Ku, Xiao Qin

Proceedings of the Second IEEE International Conference on Trust, 2020

Modeling Energy Consumption of Virtual Machines in DVFS-Enabled Cloud Data Centers.

Jianzhou Mao, Tathagata Bhattacharya, Xiaopu Peng, Ting Cao, Xiao Qin

Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

Profiling and optimizing deep learning inference on mobile GPUs.

Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu

Proceedings of the APSys '20: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, 2020

2019

基于àtrous-NSCT变换和区域特性的图像融合方法 (Image Fusion Method Based on àtrous-NSCT Transform and Region Characteristic).

Yiqin Cao, Ting Cao, Xiaosheng Huang

计算机科学, 2019

Crack image detection based on fractional differential and fractal dimension.

Ting Cao, Weixing Wang, Susan L. Tighe, Shenglin Wang

IET Comput. Vis., 2019

Symptom-based network classification identifies distinct clinical subgroups of liver diseases with common molecular pathways.

Zixin Shu, Wenwen Liu, Huikun Wu, Mingzhong Xiao, Deng Wu, Ting Cao, Meng Ren, Junxiu Tao, Chuhua Zhang, Tangqing He, Xiaodong Li, Runshun Zhang, Xuezhong Zhou

Comput. Methods Programs Biomed., 2019

Device to Device Networks With Cache-Enabled and Self-Sustained Mobile Helpers.

Xiaolong Chen, Xiaoshi Song, Chao Jia, Ting Cao

IEEE Access, 2019

Wireless Content Caching in Sliced Cellular Networks with Multicast Beamforming.

Kan Wang, Wenchao Ji, Junhuai Li, Huaijun Wang, Ting Cao

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Panthera: holistic memory management for big data processing over hybrid memories.

Chenxi Wang, Huimin Cui, Ting Cao, John N. Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

2018

Depth Image Enhancement and Detection on NSCT and Fractional Differential.

Ting Cao, Weixing Wang

Wirel. Pers. Commun., 2018

Taking advantage of motif matrix inference for rotated image indexing and retrieval.

Yi Xu, Wei Song, Yu Yan, Huadong Zhu, Ting Cao

EURASIP J. Adv. Signal Process., 2018

2017

Conquering the City: Understanding perceptions of Mobility and Human Territoriality in Location-based Mobile Games.

Konstantinos Papangelis, Melvin Metzger, Yiyeng Sheng, Hai-Ning Liang, Alan Chamberlain, Ting Cao

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Automatic fracture detection based on Terrestrial Laser Scanning data: A new method and case study.

Ting Cao, Ancheng Xiao, Lei Wu, Liguang Mao

Comput. Geosci., 2017

Unfolding the interplay of self-identity and expressions of territoriality in location-based social networks.

Konstantinos Papangelis, Yiyang Sheng, Hai-Ning Liang, Alan Chamberlain, Vassilis-Javed Khan, Ting Cao

Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

An energy-based weight selection algorithm of monitor node in MANETs.

Yongcheng Li, Jinfeng Gao, Yao Yu, Ting Cao

Proceedings of the International Conference on Computer, 2017

2016

Parallel Processing Systems for Big Data: A Survey.

Yunquan Zhang, Ting Cao, Shigang Li, Xinhui Tian, Liang Yuan, Haipeng Jia, Athanasios V. Vasilakos

Proc. IEEE, 2016

Efficient Management for Hybrid Memory in Managed Language Runtime.

Chenxi Wang, Ting Cao, John N. Zigman, Fang Lv, Yunquan Zhang, Xiaobing Feng

Proceedings of the Network and Parallel Computing, 2016

Portable performance on asymmetric multicore processors.

Ivan Jibaja, Ting Cao, Stephen M. Blackburn, Kathryn S. McKinley

Proceedings of the 2016 International Symposium on Code Generation and Optimization, 2016

2015

Optimizing Image Sharpening Algorithm on GPU.

Mengran Fan, Haipeng Jia, Yunquan Zhang, Xiaojing An, Ting Cao

Proceedings of the 44th International Conference on Parallel Processing, 2015

Road Detection Based on Image Boundary Prior.

Huan Wang, Yan Gong, Yangyang Hou, Ting Cao

Proceedings of the Image and Graphics - 8th International Conference, 2015

2014

iCHAT: Inter-cache Hardware-Assistant Data Transfer for Heterogeneous Chip Multiprocessors.

Junli Gu, Bradford M. Beckmann, Ting Cao, Yu Hu

Proceedings of the 9th IEEE International Conference on Networking, 2014

2013

WADE: Writeback-aware dynamic cache management for NVM-based main memory system.

Zhe Wang, Shuchang Shan, Ting Cao, Junli Gu, Yi Xu, Shuai Mu, Yuan Xie, Daniel A. Jiménez

ACM Trans. Archit. Code Optim., 2013

Traffic Aware Routing in urban vehicular networks.

Ting Cao, Xinchao Zhang, Linghe Kong, Xiao-Yang Liu, Wei Shu, Min-You Wu

Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

2012

TL-plane-based multi-core energy-efficient real-time scheduling algorithm for sporadic tasks.

Dongsong Zhang, Deke Guo, Fang-Yuan Chen, Fei Wu, Tong Wu, Ting Cao, Shiyao Jin

ACM Trans. Archit. Code Optim., 2012

What is Happening to Power, Performance, and Software?

Hadi Esmaeilzadeh, Ting Cao, Xi Yang, Stephen M. Blackburn, Kathryn S. McKinley

IEEE Micro, 2012

Looking back and looking forward: power, performance, and upheaval.

Hadi Esmaeilzadeh, Ting Cao, Xi Yang, Stephen M. Blackburn, Kathryn S. McKinley

Commun. ACM, 2012

The Yin and Yang of power and performance for asymmetric hardware and managed software.

Ting Cao, Stephen M. Blackburn, Tiejun Gao, Kathryn S. McKinley

Proceedings of the 39th International Symposium on Computer Architecture (ISCA 2012), 2012

2011

Looking back on the language and hardware revolutions: measured power, performance, and scaling.

Hadi Esmaeilzadeh, Ting Cao, Xi Yang, Stephen M. Blackburn, Kathryn S. McKinley

Proceedings of the 16th International Conference on Architectural Support for Programming Languages and Operating Systems, 2011

2010

A Novel Bus Lane Enforcement System with Vehicular Sensor Networks.

Xu Li, Ting Cao, Hongyu Huang, Minglu Li, Wei Shu, Min-You Wu

Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010

DSS: Applying asynchronous techniques to architectures exploiting ILP at compile time.

Wei Shi, Zhiying Wang, Hongguang Ren, Ting Cao, Wei Chen, Bo Su, Hongyi Lu

Proceedings of the 28th International Conference on Computer Design, 2010