Institution · Cambricon (China)
Most cited papers from Cambricon (China)
What are the most cited papers from Cambricon (China)?
The most cited paper from Cambricon (China) is "Cambricon-X: An accelerator for sparse neural networks" (Shijin Zhang, Zidong Du, Lei Zhang et al., 2016), with 606 citations. Next come "Domain-Specific Suppression for Adaptive Object Detection" (87) and "Fixed-Point Back-Propagation Training" (44).
Showing 50 of 62 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Cambricon-X: An accelerator for sparse neural networks Shijin Zhang, Zidong Du, Lei Zhang et al. | Oct 2016 | 606 |
| 2 | Domain-Specific Suppression for Adaptive Object Detection Yu Wang, Rui Zhang, Shuo Zhang et al. | Jun 2021 | 87 |
| 3 | Fixed-Point Back-Propagation Training Xishan Zhang, Shaoli Liu, Rui Zhang et al. | Jun 2020 | 44 |
| 4 | Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks Xinkai Song, Tian Zhi, Zhe Yuan Fan et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | 25 Feb 2021 | 30 |
| 5 | Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM Zhongkai Yu, Shengwen Liang, Tianyun Ma et al. | 2 Nov 2024 | 29 |
| 6 | Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators Jun Bi, Qi Guo, Xiaqing Li et al. | 20 Mar 2023 | 29 |
| 7 | Memristor based on α-In2Se3 for emulating biological synaptic plasticity and learning behavior Ying Zhao, Yifei Pei, Zichang Zhang et al. · Science China Materials | 15 Feb 2022 | 21 |
| 8 | Self-Aware Neural Network Systems: A Survey and New Perspective Zidong Du, Qi Yong Guo, Yongwei Zhao et al. · Proceedings of the IEEE | 24 Mar 2020 | 20 |
| 9 | Machine Learning Computers With Fractal von Neumann Architecture Yongwei Zhao, Zhe Yuan Fan, Zidong Du et al. · IEEE Transactions on Computers | 20 Mar 2020 | 16 |
| 10 | AI Computing Systems for Large Language Models Training Zhenxing Zhang, Yuanbo Wen, Han-Qi Lyu et al. · Journal of Computer Science and Technology | 2025 | 15 |
| 11 | Addressing Irregularity in Sparse Neural Networks through a Cooperative Software/Hardware Approach Xi Zeng, Xuehai Zhou, Ling Li et al. · IEEE Transactions on Computers | 2020 | 15 |
| 12 | TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing Husheng Han, Xinyao Zheng, Yuanbo Wen et al. | 27 Apr 2024 | 12 |
| 13 | Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation Xinkai Song, Yuanbo Wen, Xing Hu et al. | 28 Oct 2023 | 12 |
| 14 | Chip design with machine learning: a survey from algorithm perspective Wenkai He, Xiaqing Li, Xinkai Song et al. · Science China Information Sciences | 19 Oct 2023 | 12 |
| 15 | Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training Chang Liu, Xishan Zhang, Rui Zhang et al. · IEEE Transactions on Image Processing | 2022 | 11 |
| 16 | RecurrentBEV: A Long-Term Temporal Fusion Framework for Multi-view 3D Detection Ming Chang, Xishan Zhang, Rui Zhang et al. · Lecture notes in computer science | 2 Nov 2024 | 10 |
| 17 | Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing Yifan Hao, Yongwei Zhao, Chenxiao Liu et al. | Oct 2022 | 9 |
| 18 | Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization Yi Chen, Yongwei Zhao, Yifan Hao et al. | 2 Nov 2024 | 8 |
| 19 | Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption Jianan Mu, Husheng Han, Shangyi Shi et al. | 23 Jun 2024 | 7 |
| 20 | A Hamming Weight Calculation of Binary String in One nMOS Transistor–One Ag/HfO2/Black Phosphorus/Pt Memristor Hui Min He, Yifei Pei, Jingjuan Wang et al. · IEEE Transactions on Electron Devices | 11 Aug 2022 | 6 |
| 21 | Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System Zidong Du, Qi Yong Guo, Yongwei Zhao et al. · IEEE Transactions on Computers | 14 Dec 2020 | 5 |
| 22 | Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks Husheng Han, Xing Hu, Yifan Hao et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | 16 Aug 2023 | 4 |
| 23 | Conceptual Reinforcement Learning for Language-Conditioned Tasks Shaohui Peng, Xing Hu, Rui Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 26 Jun 2023 | 4 |
| 24 | ParaML: A Polyvalent Multicore Accelerator for Machine Learning Shengyuan Zhou, Qi Yong Guo, Zidong Du et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | 9 Jul 2019 | 4 |
| 25 | Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference Hongrui Guo, Mo Zou, Yifan Hao et al. | 2 Nov 2024 | 3 |
| 26 | Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation Shuyao Cheng, Chongxiao Li, Zidong Du et al. | 23 Jun 2024 | 3 |
| 27 | Hardware Acceleration for SLAM in Mobile Systems Zhe Fan, Yi-Fan Hao, Tian Zhi et al. · Journal of Computer Science and Technology | 30 Nov 2023 | 3 |
| 28 | Deep Fusion: A Software Scheduling Method for Memory Access Optimization Yimin Zhuang, Shaohui Peng, Xiaobing Chen et al. · Lecture notes in computer science | 2019 | 3 |
| 29 | Cambricon-DG: An Accelerator for Redundant-Free Dynamic Graph Neural Networks Based on Nonlinear Isolation Zhifei Yue, Xinkai Song, Tianbo Liu et al. | Mar 2025 | 2 |
| 30 | Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing Hongrui Guo, Yongwei Zhao, Zhangmai Li et al. | 28 Oct 2023 | 2 |
| 31 | Learning controllable elements oriented representations for reinforcement learning Qi Yi, Rui Zhang, Shaohui Peng et al. · Neurocomputing | 15 Jun 2023 | 2 |
| 32 | Enabling One-size-fits-all Compilation Optimization across Machine Learning Computers for Inference Yuanbo Wen, Qi Guo, Zidong Du et al. · IEEE Transactions on Computers | 2021 | 2 |
| 33 | Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment Jia‐Ming Guo, Rui Zhang, Xishan Zhang et al. | Aug 2021 | 2 |
| 34 | Queuing theory guided performance evaluation and energy optimization for a reconfigurable high speed device interconnected bus Weiwen Chen, Keni Qiu, Shaonan Zhang et al. · Sustainable Computing Informatics and Systems | 2 Mar 2019 | 2 |
| 35 | DLIR: An Intermediate Representation for Deep Learning Processors Huiying Lan, Zidong Du · Lecture notes in computer science | 2018 | 2 |
| 36 | TensorFHE+: Fully Homomorphic Encryption Acceleration Based on Linear Algebra Yintai Sun, Shengyu Fan, Zhenhua Yin et al. · IEEE Transactions on Computers | 5 Nov 2025 | 1 |
| 37 | Automated Superscalar Processor Design by Learning Data Dependencies Shuyao Cheng, Rui Zhang, Wenkai He et al. | Sep 2025 | 1 |
| 38 | Swift: High Parallelism Program Generation of Tensor Operators for Accelerating Deep Learning Inference Xiang-Ling Yu, Jun Bi, Yuanbo Wen et al. · ACM Transactions on Architecture and Code Optimization | 25 Aug 2025 | 1 |
| 39 | Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table Tianbo Liu, Xinkai Song, Zhifei Yue et al. | 20 Jun 2025 | 1 |
| 40 | Efficient and Fast High-Performance Library Generation for Deep Learning Accelerators Jun Bi, Yuanbo Wen, Xiaqing Li et al. · IEEE Transactions on Computers | 8 Oct 2024 | 1 |
| 41 | Automated CPU Design by Learning from Input-Output Examples Shuyao Cheng, Pengwei Jin, Qi Guo et al. | 26 Jul 2024 | 1 |
| 42 | Space‐address decoupled scratchpad memory management for neural network accelerators Zhenxing Zhang, Shiyan Sun, Xunyu Chen et al. · Concurrency and Computation Practice and Experience | 13 Oct 2020 | 1 |
| 43 | QiMeng-EvoPartition: Rethinking the Impact of Partitioning for Automated Pipeline Design Yi Wan, Rui Zhang, Shuyao Cheng et al. | Sep 2026 | 0 |
| 44 | Cambricon-FlexLLM: A Flexible Chiplet-Based Hybrid Architecture for On-Device 70B LLM Inference Tianyun Ma, Qian Wang, Shengwen Liang et al. · ACM Transactions on Architecture and Code Optimization | 29 Aug 2026 | 0 |
| 45 | InputSnatch: Stealing Input in LLM Services via Cache-Sharing Timing Side-Channel Attacks Xinyao Zheng, Husheng Han, Shangyi Shi et al. · Lecture notes in computer science | 23 Aug 2026 | 0 |
| 46 | QiMeng-Tensify: Scaling Up Tensor Computation Optimization via Architecture-Aware LLM-Guided MCTS Shouyang Dong, Jun Bi, Yuanbo Wen et al. | Jun 2026 | 0 |
| 47 | Cambricon-QM: A Hybrid Architecture for Microscaling Format Training X S Liu, Yongwei Zhao, Chang Liu et al. · IEEE Transactions on Computers | 8 Jul 2026 | 0 |
| 48 | A Systolic Random Increment Memory Architecture for Unary Computing Guo H, Y ZHAO, Zhangmai Li et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | 2026 | 0 |
| 49 | QiMeng-CPU-v2: Automated Superscalar Processor Design by Learning Data Dependencies Xiangtao Guan, Shuyao Cheng, Rui Zhang et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | 2026 | 0 |
| 50 | Hardwired-Neuron Language Processing Units as General-Purpose Cognitive Substrates Yang Liu et al. | 10 Mar 2026 | 0 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.