Ling Liang

1.9k citations

34 papers · 1.1k indexed · 1 hit paper · h-index 17

Electrical and Electronic Engineering top 5%
Artificial Intelligence top 2%
Computer Vision and Pattern Recognition top 5%
Cognitive Neuroscience top 10%
Hardware and Architecture top 5%

Co-authors: Yuan Xie Lei Deng Xing Hu Yufei Ding Guoqi Li Mingyu Yan Xiaochun Ye Yujing Feng
Topics: Advanced Memory and Neural Computing (13 papers)Ferroelectric and Negative Capacitance Devices (10 papers)Advanced Neural Network Applications (7 papers)
Cited by: Computational Mathematics Hardware and Architecture Artificial Intelligence
Journals: IEEE Access IEEE Journal of Solid-State Circuits IEEE Transactions on Neural Networks and Learning Systems
Partner nations: United States China Austria

In The Last Decade

Ling Liang

32 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

HyGCN: A GCN Accelerator with Hybrid Architecture

2020 216 citations Mingyu Yan, Lei Deng et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers

Countries citing papers authored by Ling Liang

Since Specialization

Citations

This map shows the geographic impact of Ling Liang'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 Ling Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Liang more than expected).

Fields of papers citing papers by Ling Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling Liang. 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 Ling Liang. The network helps show where Ling Liang may publish in the future.

Co-authorship network of co-authors of Ling Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Liang. A scholar is included among the top collaborators of Ling Liang 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 Ling Liang. Ling Liang 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	HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference 2025 ·(unknown),Yao Sun,Ling Liang,Runsheng Wang,Ru Huang,Meng Li	0
2	A High-Throughput Private Inference Engine Based on 3D Stacked Memory 2024 ·(unknown),Ling Liang,(unknown),(unknown),(unknown),(unknown),(unknown)	2
3	ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration 2022 ·IEEE Journal of Solid-State Circuits ·Fengbin Tu,Yiqi Wang,Zihan Wu,Ling Liang,Yufei Ding,Bongjin Kim,Leibo Liu,Shaojun Wei,Yuan Xie,Shouyi Yin	34
4	SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration 2022 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Fengbin Tu,Yiqi Wang,Ling Liang,Yufei Ding,Leibo Liu,Shaojun Wei,Shouyi Yin,Yuan Xie	16
5	TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes 2022 ·IEEE Journal of Solid-State Circuits ·Fengbin Tu,Zihan Wu,Yiqi Wang,Ling Liang,Liu Liu,Yufei Ding,Leibo Liu,Shaojun Wei,Yuan Xie,Shouyi Yin	33
6	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Lei Deng,Yujie Wu,Yifan Hu,Ling Liang,Guoqi Li,Xing Hu,Yufei Ding,Peng Li,Yuan Xie	58
7	Fast Search of the Optimal Contraction Sequence in Tensor Networks 2021 ·IEEE Journal of Selected Topics in Signal Processing ·Ling Liang,(unknown),Lei Deng,Mingyu Yan,Xing Hu,Zheng Zhang,Guoqi Li,Yuan Xie	5
8	H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks 2021 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Ling Liang,Zheng Qu,Zhaodong Chen,Fengbin Tu,Yujie Wu,Lei Deng,Guoqi Li,Peng Li,Yuan Xie	29
9	Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Ling Liang,Xing Hu,Lei Deng,Yujie Wu,Guoqi Li,Yufei Ding,Peng Li,Yuan Xie	37
10	Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition 2021 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Zheng Qu,Lei Deng,(unknown),(unknown),(unknown),Ling Liang,Guoqi Li,Zheng Zhang,Yuan Xie	8
11	Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training 2021 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Xiaobing Chen,(unknown),Xinfeng Xie,Xing Hu,(unknown),Ling Liang,Mingyu Yan,Lei Deng,Yufei Ding,Zidong Du,Yuan Xie	34
12	Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Zhaodong Chen,Lei Deng,Guoqi Li,Jiawei Sun,Xing Hu,Ling Liang,Yufei Ding,Yuan Xie	18
13	Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation 2020 ·IEEE Journal of Solid-State Circuits ·Lei Deng,Guanrui Wang,Guoqi Li,Shuangchen Li,Ling Liang,Maohua Zhu,Yujie Wu,Zheyu Yang,Zhe Zou,Jing Pei,Zhenzhi Wu,Xing Hu,Yufei Ding,Wei He,Yuan Xie,Luping Shi	124
14	Practical Attacks on Deep Neural Networks by Memory Trojaning 2020 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Xing Hu,Yang Zhao,Lei Deng,Ling Liang,Pengfei Zuo,Jing Ye,Yingyan Lin,Yuan Xie	25
15	Towards a polynomial algorithm for optimal contraction sequence of tensor networks from trees 2019 ·Physical review. E ·(unknown),Ling Liang,Lei Deng,Changyun Wen,Yuan Xie,Guoqi Li	4
16	Rethinking the performance comparison between SNNS and ANNS 2019 ·Neural Networks ·Lei Deng,(unknown),Xing Hu,Ling Liang,Yufei Ding,Guoqi Li,Guangshe Zhao,Peng Li,Yuan Xie	215
17	SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars 2018 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Lei Deng,Ling Liang,Guanrui Wang,Liang Chang,Xing Hu,Xin Ma,Liu Liu,Jing Pei,Guoqi Li,Yuan Xie	18
18	Crossbar-Aware Neural Network Pruning 2018 ·IEEE Access ·Ling Liang,Lei Deng,(unknown),Xing Hu,Yu Ji,(unknown),Guoqi Li,Yuan Xie	45
19	TETRIS: TilE-matching the TRemendous Irregular Sparsity 2018 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yu Ji,Ling Liang,Lei Deng,(unknown),Youhui Zhang,Yuan Xie	19
20	Fast Object Tracking on a Many-Core Neural Network Chip 2018 ·Frontiers in Neuroscience ·Lei Deng,Zhe Zou,(unknown),Ling Liang,Guanrui Wang,Xing Hu,Liu Liu,Jing Pei,Guoqi Li,Yuan Xie	8

About Ling Liang

Ling Liang is a scholar working on Computational Mathematics, Hardware and Architecture and Artificial Intelligence, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computational Mathematics (20 citations), Hardware and Architecture (195 citations) and Artificial Intelligence (534 citations). Ling Liang has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Yuan Xie, Lei Deng, Xing Hu, Yufei Ding, Guoqi Li, Mingyu Yan, Xiaochun Ye, Yujing Feng, Peng Li and Zhimin Zhang. Their work appears in journals such as IEEE Access, IEEE Journal of Solid-State Circuits and IEEE Transactions on Neural Networks and Learning Systems.

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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