Ting Cao

921 total citations
53 papers, 559 citations indexed

About

Ting Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Ting Cao has authored 53 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 16 papers in Hardware and Architecture. Recurrent topics in Ting Cao's work include Parallel Computing and Optimization Techniques (16 papers), Advanced Neural Network Applications (13 papers) and Advanced Memory and Neural Computing (6 papers). Ting Cao is often cited by papers focused on Parallel Computing and Optimization Techniques (16 papers), Advanced Neural Network Applications (13 papers) and Advanced Memory and Neural Computing (6 papers). Ting Cao collaborates with scholars based in China, United States and United Kingdom. Ting Cao's co-authors include Yunxin Liu, Stephen M. Blackburn, Kathryn S. McKinley, Xi Yang, Hadi Esmaeilzadeh, Shiqi Jiang, Ju Ren, Xueqin Shen, Lei Guo and Manni Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Optics Express.

In The Last Decade

Ting Cao

46 papers receiving 538 citations

Peers

Countries citing papers authored by Ting Cao

Since Specialization

Citations

This map shows the geographic impact of Ting Cao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ting Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Cao more than expected).

Fields of papers citing papers by Ting Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting Cao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ting Cao. The network helps show where Ting Cao may publish in the future.

Co-authorship network of co-authors of Ting Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Cao. A scholar is included among the top collaborators of Ting Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Cao. Ting Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment 2025 ·(unknown), Shiqi Jiang, (unknown), Ting Cao, Mo Li, (unknown), (unknown)	2
2	FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units 2025 ·(unknown), (unknown), (unknown), (unknown), (unknown), Liang Yuan, (unknown), (unknown), Ting Cao, Mao Yang	3
3	Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators 2025 ·(unknown), (unknown), Fusong Ju, (unknown), Hong An, (unknown), (unknown), Ting Cao, Mao Yang	0
4	SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation 2025 ·(unknown), (unknown), (unknown), Liang Yuan, (unknown), (unknown), (unknown), Hong An, Ting Cao, Mao Yang	0
5	LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference 2025 ·(unknown), (unknown), (unknown), (unknown), (unknown), Lingxiao Ma, Naifeng Jing, Ting Cao, (unknown), Fan Yang, Mao Yang	0
6	T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge 2025 ·(unknown), (unknown), Ting Cao, Lingxiao Ma, (unknown), Yanyong Zhang, Mao Yang	3
7	Hybrid SLM and LLM for Edge-Cloud Collaborative Inference 2024 ·(unknown), Huiqiang Jiang, Shiqi Jiang, Ju Ren, Ting Cao	17
8	Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization 2024 ·(unknown), Shiqi Jiang, Ting Cao, (unknown), Tianrui Xia, (unknown), Yuanchun Li, (unknown), D. H. Zhang, Ju Ren, Yunxin Liu, (unknown), Mao Yang	4
9	Wolbachia mediates crosstalk between miRNA and Toll pathways to enhance resistance to dengue virus in Aedes aegypti 2024 ·PLoS Pathogens ·(unknown), (unknown), Ting Cao, (unknown), Renke Wang, Weifeng Wang, (unknown), Chaojun Wang, Qin Zeng, W. F. Mader, Yalan Zhang, Yong Wang, Zhiyong Xi, Xiaoling Pan	5
10	PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization 2024 ·(unknown), Zhe Zhou, Yang Wang, (unknown), Ting Cao, Mao Yang, Yun Liang, (unknown)	8
11	Identification of structural origins of complex charge heterogeneity in therapeutic ACE2Fc fusion protein facilitated by free-flow isoelectric focusing 2024 ·European Journal of Pharmaceutics and Biopharmaceutics ·Lingyu Wang, Hai Wu, Ting Cao, Hongyang Li, Pengcheng Shen, Lihong Lu, (unknown)	1
12	Poster: Design of Elastic Deep Neural Network Candidate Spaces for Inference on Diverse Devices 2024 ·(unknown), Ting Cao, Huiqiang Jiang, Junehwa Song	0
13	ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores 2024 ·Yuetao Chen, (unknown), (unknown), (unknown), (unknown), Lingxiao Ma, Liang Yuan, (unknown), Ting Cao, Mao Yang	10
14	Anatomizing Deep Learning Inference in Web Browsers 2024 ·ACM Transactions on Software Engineering and Methodology ·(unknown), Shiqi Jiang, Zhenpeng Chen, (unknown), Yuanchun Li, (unknown), Yun Ma, Ting Cao, Xuanzhe Liu	0
15	FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices 2024 ·(unknown), Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu	12
16	LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup 2023 ·(unknown), Yang Wang, Ting Cao, (unknown), (unknown), Deng Cai, Yunxin Liu, Mao Yang	9
17	Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference 2023 ·arXiv (Cornell University) ·(unknown), (unknown), Jiahang Xu, Yujing Wang, (unknown), Yunqing Xia, Yuqing Yang, Ting Cao, (unknown), (unknown), (unknown), Mao Yang	4
18	HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception 2023 ·IEEE Transactions on Mobile Computing ·Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, (unknown), Youngki Lee, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu	2
19	Boosting DNN Cold Inference on Edge Devices 2023 ·(unknown), Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu	7
20	NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors 2023 ·(unknown), Ting Cao, (unknown), Shiqi Jiang, (unknown), Mao Yang, Yanyong Zhang, Yunxin Liu	11

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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