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2020 – today
- 2025
[j43]Zonghua Yu, Huaijun Wang
, Junhuai Li, Haiyan Jin, Ting Cao, Kuanhong Cheng:
Rethinking probability volume for multi-view stereo: A probability analysis method. Appl. Intell. 55(6): 396 (2025)- [j42]Xingyuan He, Ruiying Wang, Ting Cao, Weiyu Liang, Yimin Fan:
Fusion CNN-Transformer Model for Target Counting in Complex Scenarios. Informatica (Slovenia) 49(12) (2025) - [c69]Haozhi Han, Kun Li, Wei Cui, Donglin Bai, Yiwei Zhang, Liang Yuan, Yifeng Chen, Yunquan Zhang, Ting Cao, Mao Yang:
FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units. PPoPP 2025: 355-368 - [c68]Yiwei Zhang, Kun Li, Liang Yuan, Haozhi Han, Yunquan Zhang, Ting Cao, Mao Yang:
Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers. PPoPP 2025: 481-495 - [i30]Xin Ding, Shijie Cao, Ting Cao, Zhibo Chen:
Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models. CoRR abs/2501.06218 (2025) - [i29]Tuowei Wang, Xingyu Chen, Kun Li, Ting Cao, Ju Ren, Yaoxue Zhang:
LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning. CoRR abs/2501.09767 (2025) - [i28]Guoyu Li, Shengyu Ye, Chunyun Chen, Yang Wang, Fan Yang, Ting Cao, Cheng Li, Mohamed M. Sabry, Mao Yang:
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator. CoRR abs/2501.10658 (2025) - [i27]Jinheng Wang, Hansong Zhou, Ting Song, Shijie Cao, Yan Xia, Ting Cao, Jianyu Wei, Shuming Ma, Hongyu Wang, Furu Wei:
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs. CoRR abs/2502.11880 (2025) - 2024
- [j41]Kun Jiang, Ting Cao, Lei Zhu, Qindong Sun:
Adaptive and flexible ℓ 1-norm graph embedding for unsupervised feature selection. Appl. Intell. 54(22): 11732-11751 (2024) - [j40]Ting Cao:
Accelerating predictions of electronic transport and superconductivity. Nat. Comput. Sci. 4(8): 561-562 (2024) - [j39]Sheng Liu, Yiqing Yang, Ting Cao, Yi Zhu:
A BiFPN-SECA detection network for foreign objects on top of railway freight vehicles. Signal Image Video Process. 18(12): 9027-9035 (2024) - [j38]Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He:
VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations. IEEE Trans. Computers 73(10): 2378-2390 (2024) - [j37]Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Youngki Lee, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu:
HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception. IEEE Trans. Mob. Comput. 23(5): 4648-4664 (2024) - [c67]Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu:
AFPQ: Asymmetric Floating Point Quantization for LLMs. ACL (Findings) 2024: 28-36 - [c66]Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu:
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. ACL (1) 2024: 102-116 - [c65]Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun:
PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization. ASPLOS (2) 2024: 879-896 - [c64]Ting Cao, Zhen Liu:
Study on Automatic Recording and Health Promotion System of University Sports Results. CIPAE 2024: 843-847 - [c63]Zixu Hao, Huiqiang Jiang, Shiqi Jiang, Ju Ren, Ting Cao:
Hybrid SLM and LLM for Edge-Cloud Collaborative Inference. EdgeFM@MobiSys 2024: 36-41 - [c62]Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang:
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. EMNLP 2024: 8181-8196 - [c61]Yuxing Zhi, Junhuai Li, Huaijun Wang, Jing Chen, Ting Cao:
A Fine-Grained Tri-Modal Interaction Model for Multimodal Sentiment Analysis. ICASSP 2024: 5715-5719 - [c60]Guoxuan Mao, Ting Cao, Ziyang Li, Yuan Dong:
Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection. ICME 2024: 1-6 - [c59]Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. ICME 2024: 1-6 - [c58]Junhuai Li, Jingyi Cao, Yuxing Zhi, Huaijun Wang, Ting Cao, Rong Fei:
Cross-Domain Activity Recognition Based on Stacked Transfer Network. IJCNN 2024: 1-6 - [c57]Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang:
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. ISCA 2024: 1018-1031 - [c56]Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu:
FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices. MobiCom 2024: 709-723 - [c55]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:
Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. MobiSys 2024: 438-450 - [c54]Jeongho Won, Ting Cao, Huiqiang Jiang, Junehwa Song:
Poster: Design of Elastic Deep Neural Network Candidate Spaces for Inference on Diverse Devices. MobiSys 2024: 734-735 - [c53]Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan:
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search. NSDI 2024 - [c52]Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang:
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI 2024: 307-323 - [c51]Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang:
ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores. PPoPP 2024: 333-347 - [c50]Yiwei Zhang, Kun Li, Liang Yuan, Jiawen Cheng, Yunquan Zhang, Ting Cao, Mao Yang:
LoRAStencil: Low-Rank Adaptation of Stencil Computation on Tensor Cores. SC 2024: 53 - [c49]Tuowei Wang, Kun Li, Zixu Hao, Donglin Bai, Ju Ren, Yaoxue Zhang, Ting Cao, Mao Yang:
Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity. SC 2024: 75 - [i26]Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu:
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance. CoRR abs/2402.05981 (2024) - [i25]Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu:
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. CoRR abs/2402.10631 (2024) - [i24]Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang:
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. CoRR abs/2407.00088 (2024) - [i23]Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu:
Advancing Multi-Modal Sensing Through Expandable Modality Alignment. CoRR abs/2407.17777 (2024) - [i22]Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang:
LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. CoRR abs/2408.06003 (2024) - [i21]Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang:
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. CoRR abs/2409.17066 (2024) - [i20]Yizhao Gao, Zhichen Zeng, Dayou Du, Shijie Cao, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang:
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs. CoRR abs/2410.13276 (2024) - [i19]Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu:
Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling. CoRR abs/2410.14993 (2024) - [i18]Tuowei Wang, Ruwen Fan, Minxing Huang, Zixu Hao, Kun Li, Ting Cao, Youyou Lu, Yaoxue Zhang, Ju Ren:
Ripple: Accelerating LLM Inference on Smartphones with Correlation-Aware Neuron Management. CoRR abs/2410.19274 (2024) - [i17]Tuowei Wang, Kun Li, Donglin Bai, Fusong Ju, Leo Xia, Ting Cao, Ju Ren, Yaoxue Zhang, Mao Yang:
Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation. CoRR abs/2412.13203 (2024) - 2023
- [j36]Puming Wang, Ting Cao, Xue Li, Xin Jin, Peng Liu, Wei Zhou, Ruxin Wang, Shiyu Chen:
Multi-focus image fusion based on gradient tensor HOSVD. J. Electronic Imaging 32(2) (2023) - [j35]Jinshi Liu, Zhaohui Jiang, Ting Cao, Zhiwen Chen, Chaobo Zhang, Weihua Gui:
Generated Pseudo-Labels Guided by Background Skeletons for Overcoming Under-Segmentation in Overlapping Particle Objects. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2906-2919 (2023) - [j34]Ting Cao, Yuhang Wang, Sheng Liu:
Pavement Crack Detection Based on 3D Edge Representation and Data Communication With Digital Twins. IEEE Trans. Intell. Transp. Syst. 24(7): 7697-7706 (2023) - [c48]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. ECAI 2023: 3058-3065 - [c47]Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang:
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. ICCV 2023: 5796-5805 - [c46]Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang:
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. ICCV 2023: 5806-5817 - [c45]Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu:
Accurate and Structured Pruning for Efficient Automatic Speech Recognition. INTERSPEECH 2023: 4104-4108 - [c44]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:
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. KDD 2023: 1280-1290 - [c43]Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang:
Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. MLSys 2023 - [c42]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. MobiCom 2023: 70:1-70:15 - [c41]Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu:
NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. MobiSys 2023: 70-83 - [c40]Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu:
Boosting DNN Cold Inference on Edge Devices. MobiSys 2023: 516-529 - [i16]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Towards Unified Neural Network Inference by Table Lookup. CoRR abs/2302.03213 (2023) - [i15]Li Lyna Zhang, Xudong Wang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang:
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. CoRR abs/2303.08308 (2023) - [i14]Kun Li, Zhichun Li, Yuetao Chen, Zixuan Wang, Yiwei Zhang, Liang Yuan, Haipeng Jia, Yunquan Zhang, Ting Cao, Mao Yang:
Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing. CoRR abs/2303.08365 (2023) - [i13]Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang:
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. CoRR abs/2303.09730 (2023) - [i12]Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. CoRR abs/2305.12356 (2023) - [i11]Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu:
Accurate and Structured Pruning for Efficient Automatic Speech Recognition. CoRR abs/2305.19549 (2023) - [i10]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR abs/2305.19982 (2023) - [i9]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:
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. CoRR abs/2306.14393 (2023) - [i8]Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang, Minsoo Rhu:
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. CoRR abs/2308.12066 (2023) - [i7]Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang:
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations. CoRR abs/2309.08978 (2023) - [i6]Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu:
AFPQ: Asymmetric Floating Point Quantization for LLMs. CoRR abs/2311.01792 (2023) - 2022
- [j33]Dong Ding, Junhuai Li, Kuo Zhang, Huaijun Wang, Kan Wang, Ting Cao:
Non-intrusive load monitoring method with inception structured CNN. Appl. Intell. 52(6): 6227-6244 (2022) - [j32]Xiaopu Peng, Tathagata Bhattacharya, Ting Cao, Jianzhou Mao, Taha Khalid Al Tekreeti, Xiao Qin:
Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers. Big Data Res. 27: 100306 (2022) - [j31]Tathagata Bhattacharya, Xiaopu Peng, Jianzhou Mao, Chaowei Zhang, Taha Takreeti, Ye Wang, Ting Cao, Xiao Qin:
Performance modeling for I/O-intensive applications on virtual machines. Concurr. Comput. Pract. Exp. 34(10) (2022) - [j30]Ting Cao, Jinyuan Hu, Sheng Liu:
Enhanced Edge Detection for 3D Crack Segmentation and Depth Measurement with Laser Data. Int. J. Pattern Recognit. Artif. Intell. 36(5): 2255006:1-2255006:14 (2022) - [j29]Pengfei Zhang, Junhuai Li, Ye Tang, Huaijun Wang, Ting Cao:
A Novel, Efficient, Green and Real-Time Load Balancing Algorithm for 5G Network Measurement Report Collecting Clusters. J. Circuits Syst. Comput. 31(18): 2250313:1-2250313:18 (2022) - [j28]Jianzhou Mao, Xiaopu Peng, Ting Cao, Tathagata Bhattacharya, Xiao Qin:
A frequency-aware management strategy for virtual machines in DVFS-enabled clouds. Sustain. Comput. Informatics Syst. 33: 100643 (2022) - [j27]Zhaohui Jiang, Jinhua Yu, Jinshi Liu, Zhiwen Chen, Weihua Gui, Ting Cao:
A Coke Detection Method Based on Reweighting a Composite Feature for Mixed Material Recognition and Quantification. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j26]Ting Cao, Lei Liu, Kan Wang, Junhuai Li:
A Fractional Integral and Fractal Dimension-Based Deep Learning Approach for Pavement Crack Detection in Transportation Service Management. IEEE Trans. Netw. Serv. Manag. 19(4): 4201-4212 (2022) - [c39]Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CIKM 2022: 3654-3663 - [c38]Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. ISBI 2022: 1-5 - [c37]Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu:
Romou: rapidly generate high-performance tensor kernels for mobile GPUs. MobiCom 2022: 487-500 - [c36]Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu:
MobiDepth: real-time depth estimation using on-device dual cameras. MobiCom 2022: 528-541 - [c35]Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang:
CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices. MobiSys 2022: 209-221 - [c34]Shiyu Chen, Xin Jin, Qian Jiang, Jie Yang, Ting Cao, Xiuliang Xi, Yunyun Dong:
DDF-GAN: A Generative Adversarial Network with Dual-Discriminator for Multi-Focus Image Fusion. MSN 2022: 576-580 - [c33]Tathagata Bhattacharya, Xiaopu Peng, Taha Takreeti, Jianzhou Mao, Ting Cao, Xiao Qin, Mostafa Rahgouy:
Accelerating the Energy Efficient Design of Traditional Data Centers Through Modeling*. NAS 2022: 1-8 - [c32]Xiaopu Peng, Tathagata Bhattacharya, Jianzhou Mao, Ting Cao, Chao Jiang, Xiao Qin:
Energy-efficient Management of Data Centers using a Renewable-aware Scheduler. NAS 2022: 1-8 - [c31]Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu:
Turbo: Opportunistic Enhancement for Edge Video Analytics. SenSys 2022: 263-276 - [c30]Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang:
Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL. SenSys 2022: 607-621 - [i5]Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu:
Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices. CoRR abs/2206.07446 (2022) - [i4]Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu:
Turbo: Opportunistic Enhancement for Edge Video Analytics. CoRR abs/2207.00172 (2022) - [i3]Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CoRR abs/2209.00625 (2022) - 2021
- [j25]Changrui Cui, Junhuai Li, Dandan Du, Huaijun Wang, Pengjia Tu, Ting Cao:
The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm. IEEE Access 9: 31213-31224 (2021) - [j24]Ting Cao, Pengjia Tu, Weixing Wang:
Depth Image Vibration Filtering and Shadow Detection Based on Fusion and Fractional Differential. Int. J. Pattern Recognit. Artif. Intell. 35(1): 2150002:1-2150002:14 (2021) - [j23]Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu:
nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices. GetMobile Mob. Comput. Commun. 25(4): 19-23 (2021) - [j22]Lei Chen, Jiacheng Zhao, Chenxi Wang, Ting Cao, John N. Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu, Huimin Cui:
Unified Holistic Memory Management Supporting Multiple Big Data Processing Frameworks over Hybrid Memories. ACM Trans. Comput. Syst. 39(1-4): 2:1-2:38 (2021) - [j21]Konstantinos Papangelis, Ioanna Lykourentzou, Vassilis-Javed Khan, Alan Chamberlain, Ting Cao, Michael Saker, Nicolas J. LaLone:
Locating Identities in Time: An Examination of the Formation and Impact of Temporality on Presentations of the Self through Location-Based Social Networks. ACM Trans. Soc. Comput. 4(3): 10:1-10:23 (2021) - [c29]Ting Cao, Zhaohui Jiang, Zhiwen Chen, Weihua Gui, Jinshi Liu, Jiancai Huang:
A Condition Prediction Method of Blast Furnace Based on Flame Morphology Information. CAA SAFEPROCESS 2021: 1-5 - [c28]Jianliang Qiao, Ting Cao:
Signal Processing Analysis in the Context of Big Data. CSIA (1) 2021: 693-699 - [c27]Yue Li, Junhuai Li, Kan Wang, Ting Cao, Huaijun Wang:
Smartphones-Based Non-contact Children's Posture Evaluation. CWSN 2021: 70-83 - [c26]Konstantinos Papangelis, Alan Chamberlain, Nicolas J. LaLone, Ting Cao:
Insights and Lessons Learned from the Design, Development and Deployment of Pervasive Location-Based Mobile Systems "in the Wild". HCI (20) 2021: 79-89 - [c25]Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu:
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks. MLSys 2021 - [c24]Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu:
AsyMo: scalable and efficient deep-learning inference on asymmetric mobile CPUs. MobiCom 2021: 215-228 - [c23]Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu:
nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices. MobiSys 2021: 81-93 - [c22]Taha Khalid Al Tekreeti, Ting Cao, Xiaopu Peng, Tathagata Bhattacharya, Jianzhou Mao, Xiao Qin, Wei-Shinn Ku:
Towards Energy-Efficient and Real-Time Cloud Computing. NAS 2021: 1-4 - [c21]Ting Cao, Jianzhou Mao, Tathagata Bhattacharya, Xiaopu Peng, Wei-Shinn Ku, Xiao Qin:
DDoS Detection Systems for Cloud Data Storage. TPS-ISA 2021: 183-190 - [c20]Jianzhou Mao, Ting Cao, Xiaopu Peng, Tathagata Bhattacharya, Wei-Shinn Ku, Xiao Qin:
Energy-Aware Privacy Controls for Clouds. TPS-ISA 2021: 252-260 - [i2]Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. CoRR abs/2111.15124 (2021) - 2020
- [j20]Dong Ding, Junhuai Li, Pengjia Tu, Huaijun Wang, Ting Cao, Facun Zhang:
Electric Vehicle Charging Warning and Path Planning Method Based on Spark. IEEE Access 8: 8543-8553 (2020) - [j19]Simin Wang, Junhuai Li, Ting Cao, Huaijun Wang, Pengjia Tu, Yue Li:
Dance Emotion Recognition Based on Laban Motion Analysis Using Convolutional Neural Network and Long Short-Term Memory. IEEE Access 8: 124928-124938 (2020) - [j18]Yuxin Li, Anan Li, Junhuai Li, Hongfang Zhou, Ting Cao, Huaijun Wang, Kan Wang:
webTDat: A Web-Based, Real-Time, 3D Visualization Framework for Mesoscopic Whole-Brain Images. Frontiers Neuroinformatics 14: 542169 (2020) - [j17]Ting Cao, Huotao Gao, Chunfeng Sun, Guobao Ru:
Differential Evolution Optimized a Second-Order Divided Difference Particle Filter. J. Electr. Comput. Eng. 2020: 9541624:1-9541624:9 (2020) - [j16]Ting Cao, Xiaopu Peng, Chaowei Zhang, Taha Khalid Al Tekreeti, Jianzhou Mao, Xiao Qin, Jianzhong Huang:
A popularity-aware reconstruction technique in erasure-coded storage systems. J. Parallel Distributed Comput. 146: 122-138 (2020) - [j15]Huaijun Wang, Jing Zhao, Junhuai Li, Ling Tian, Pengjia Tu, Ting Cao, Yang An, Kan Wang, Shancang Li:
Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques. Secur. Commun. Networks 2020: 2132138:1-2132138:12 (2020) - [j14]Konstantinos Papangelis, Alan Chamberlain, Ioanna Lykourentzou, Vassilis-Javed Khan, Michael Saker, Hai-Ning Liang, Irwyn Sadien, Ting Cao:
Performing the Digital Self: Understanding Location-Based Social Networking, Territory, Space, and Identity in the City. ACM Trans. Comput. Hum. Interact. 27(1): 1:1-1:26 (2020) - [c19]Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu:
Profiling and optimizing deep learning inference on mobile GPUs. APSys 2020: 75-81 - [c18]Jianzhou Mao, Tathagata Bhattacharya, Xiaopu Peng, Ting Cao, Xiao Qin:
Modeling Energy Consumption of Virtual Machines in DVFS-Enabled Cloud Data Centers. IPCCC 2020: 1-6 - [c17]Jianzhou Mao, Ting Cao, Xiaopu Peng, Tathagata Bhattacharya, Wei-Shinn Ku, Xiao Qin:
Security-Aware Energy Management in Clouds. TPS-ISA 2020: 284-293 - [c16]Ting Cao, Jianzhou Mao, Tathagata Bhattacharya, Xiaopu Peng, Wei-Shinn Ku, Xiao Qin:
Data Security and Malware Detection in Cloud Storage Services. TPS-ISA 2020: 310-318 - [i1]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:
Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program. CoRR abs/2010.15584 (2020)
2010 – 2019
- 2019
- [j13]Xiaolong Chen, Xiaoshi Song, Chao Jia, Ting Cao:
Device to Device Networks With Cache-Enabled and Self-Sustained Mobile Helpers. IEEE Access 7: 93820-93829 (2019) - [j12]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:
Symptom-based network classification identifies distinct clinical subgroups of liver diseases with common molecular pathways. Comput. Methods Programs Biomed. 174: 41-50 (2019) - [j11]Ting Cao, Weixing Wang, Susan L. Tighe, Shenglin Wang:
Crack image detection based on fractional differential and fractal dimension. IET Comput. Vis. 13(1): 79-85 (2019) - [j10]Yiqin Cao, Ting Cao, Xiaosheng Huang:
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). 计算机科学 46(6): 270-276 (2019) - [c15]Xiaorong Yu, Di Wu, Chun Lu, Ting Cao, Xi-Being Xiong:
Exploring Chinese Rural Primary School Teachers' Application Competencies of Educational Technologies. ICCE 2019 - [c14]Chenxi Wang, Huimin Cui, Ting Cao, John N. Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu:
Panthera: holistic memory management for big data processing over hybrid memories. PLDI 2019: 347-362 - [c13]Kan Wang, Wenchao Ji, Junhuai Li, Huaijun Wang, Ting Cao:
Wireless Content Caching in Sliced Cellular Networks with Multicast Beamforming. WCSP 2019: 1-6 - 2018
- [j9]Yi Xu, Wei Song, Yu Yan, Huadong Zhu, Ting Cao:
Taking advantage of motif matrix inference for rotated image indexing and retrieval. EURASIP J. Adv. Signal Process. 2018: 62 (2018) - [j8]Ting Cao, Weixing Wang:
Depth Image Enhancement and Detection on NSCT and Fractional Differential. Wirel. Pers. Commun. 103(1): 1025-1035 (2018) - 2017
- [j7]Ting Cao, Ancheng Xiao, Lei Wu, Liguang Mao:
Automatic fracture detection based on Terrestrial Laser Scanning data: A new method and case study. Comput. Geosci. 106: 209-216 (2017) - [j6]Konstantinos Papangelis, Melvin Metzger, Yiyeng Sheng, Hai-Ning Liang, Alan Chamberlain, Ting Cao:
Conquering the City: Understanding perceptions of Mobility and Human Territoriality in Location-based Mobile Games. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 90:1-90:24 (2017) - [c12]Yongcheng Li, Jinfeng Gao, Yao Yu, Ting Cao:
An energy-based weight selection algorithm of monitor node in MANETs. CITS 2017: 1-5 - [c11]Konstantinos Papangelis, Yiyang Sheng, Hai-Ning Liang, Alan Chamberlain, Vassilis-Javed Khan, Ting Cao:
Unfolding the interplay of self-identity and expressions of territoriality in location-based social networks. UbiComp/ISWC Adjunct 2017: 177-180 - 2016
- [j5]Yunquan Zhang, Ting Cao, Shigang Li, Xinhui Tian, Liang Yuan, Haipeng Jia, Athanasios V. Vasilakos:
Parallel Processing Systems for Big Data: A Survey. Proc. IEEE 104(11): 2114-2136 (2016) - [c10]Ivan Jibaja, Ting Cao, Stephen M. Blackburn, Kathryn S. McKinley:
Portable performance on asymmetric multicore processors. CGO 2016: 24-35 - [c9]Chenxi Wang, Ting Cao, John N. Zigman, Fang Lv, Yunquan Zhang, Xiaobing Feng:
Efficient Management for Hybrid Memory in Managed Language Runtime. NPC 2016: 29-42 - 2015
- [c8]Huan Wang, Yan Gong, Yangyang Hou, Ting Cao:
Road Detection Based on Image Boundary Prior. ICIG (3) 2015: 212-222 - [c7]Mengran Fan, Haipeng Jia, Yunquan Zhang, Xiaojing An, Ting Cao:
Optimizing Image Sharpening Algorithm on GPU. ICPP 2015: 230-239 - 2014
- [c6]Junli Gu, Bradford M. Beckmann, Ting Cao, Yu Hu:
iCHAT: Inter-cache Hardware-Assistant Data Transfer for Heterogeneous Chip Multiprocessors. NAS 2014: 242-251 - 2013
- [j4]Zhe Wang, Shuchang Shan, Ting Cao, Junli Gu, Yi Xu, Shuai Mu, Yuan Xie, Daniel A. Jiménez:
WADE: Writeback-aware dynamic cache management for NVM-based main memory system. ACM Trans. Archit. Code Optim. 10(4): 51:1-51:21 (2013) - [c5]Ting Cao, Xinchao Zhang, Linghe Kong, Xiao-Yang Liu, Wei Shu, Min-You Wu:
Traffic Aware Routing in urban vehicular networks. WCNC 2013: 2004-2009 - 2012
- [j3]Hadi Esmaeilzadeh, Ting Cao, Xi Yang, Stephen M. Blackburn, Kathryn S. McKinley:
Looking back and looking forward: power, performance, and upheaval. Commun. ACM 55(7): 105-114 (2012) - [j2]Hadi Esmaeilzadeh, Ting Cao, Xi Yang, Stephen M. Blackburn, Kathryn S. McKinley:
What is Happening to Power, Performance, and Software? IEEE Micro 32(3): 110-121 (2012) - [j1]Dongsong Zhang, Deke Guo, Fang-Yuan Chen, Fei Wu, Tong Wu, Ting Cao, Shiyao Jin:
TL-plane-based multi-core energy-efficient real-time scheduling algorithm for sporadic tasks. ACM Trans. Archit. Code Optim. 8(4): 47:1-47:20 (2012) - [c4]Ting Cao, Stephen M. Blackburn, Tiejun Gao, Kathryn S. McKinley:
The Yin and Yang of power and performance for asymmetric hardware and managed software. ISCA 2012: 225-236 - 2011
- [c3]Hadi Esmaeilzadeh, Ting Cao, Xi Yang, Stephen M. Blackburn, Kathryn S. McKinley:
Looking back on the language and hardware revolutions: measured power, performance, and scaling. ASPLOS 2011: 319-332 - 2010
- [c2]Wei Shi, Zhiying Wang, Hongguang Ren, Ting Cao, Wei Chen, Bo Su, Hongyi Lu:
DSS: Applying asynchronous techniques to architectures exploiting ILP at compile time. ICCD 2010: 321-327 - [c1]Xu Li, Ting Cao, Hongyu Huang, Minglu Li, Wei Shu, Min-You Wu:
A Novel Bus Lane Enforcement System with Vehicular Sensor Networks. WCNC 2010: 1-5
Coauthor Index
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