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2020 – today
- 2024
[j13]Xisong Liang, Jie Wen, Chunrun Qu, Nan Zhang, Ziyu Dai, Hao Zhang, Peng Luo, Ming Meng, Zhixiong Liu, Fan Fan, Quan Cheng:
Inhibitory neuron links the causal relationship from air pollution to psychiatric disorders: a large multi-omics analysis. J. Big Data 11(1): 127 (2024)- 2023
- [j12]Shuyu Li, Nan Zhang
, Hao Zhang, Ran Zhou, Zirui Li, Xue Yang, Wantao Wu, Hanning Li, Peng Luo, Zeyu Wang, Ziyu Dai, Xisong Liang, Jie Wen, Xun Zhang, Bo Zhang, Quan Cheng, Qi Zhang, Zhifang Yang:
Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses. J. Big Data 10(1): 132 (2023) - [j11]Zaoqu Liu, Long Liu, Siyuan Weng, Hui Xu, Zhe Xing, Yuqing Ren, Xiaoyong Ge, Libo Wang, Chunguang Guo, Lifeng Li, Quan Cheng, Peng Luo, Jian Zhang, Xinwei Han:
BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors. J. Big Data 10(1): 165 (2023) - [j10]Quan Cheng, Xuan Wang, Xian-En Zhang, Chengchen Xu, Feng Li:
Quantitative functionalization of biosynthetic caged protein materials. Quant. Biol. 11(1): 1 (2023) - [j9]Quan Cheng, Mingqiang Huang, Changhai Man, Ao Shen, Liuyao Dai, Hao Yu, Masanori Hashimoto:
Reliability Exploration of System-on-Chip With Multi-Bit-Width Accelerator for Multi-Precision Deep Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 70(10): 3978-3991 (2023) - [j8]Quan Cheng, Liuyao Dai, Mingqiang Huang, Ao Shen, Wei Mao, Masanori Hashimoto, Hao Yu:
A Low-Power Sparse Convolutional Neural Network Accelerator With Pre-Encoding Radix-4 Booth Multiplier. IEEE Trans. Circuits Syst. II Express Briefs 70(6): 2246-2250 (2023) - [c11]Zicheng He, Ao Shen, Qiufeng Li, Quan Cheng, Hao Yu:
Agile Hardware and Software Co-Design for RISC-V-Based Multi-Precision Deep Learning Microprocessor. ASP-DAC 2023: 490-495 - [i1]Jinghong Chen, Lingxuan Zhu, Weiming Mou, Zaoqu Liu, Quan Cheng, Anqi Lin, Jian Zhang, Peng Luo:
STAGER checklist: Standardized Testing and Assessment Guidelines for Evaluating Generative AI Reliability. CoRR abs/2312.10074 (2023) - 2022
- [j7]Anqi Lin, Chang Qi, Ting Wei, Mengyao Li, Quan Cheng, Zaoqu Liu, Peng Luo, Jian Zhang:
CAMOIP: a web server for comprehensive analysis on multi-omics of immunotherapy in pan-cancer. Briefings Bioinform. 23(3) (2022) - [j6]Hao Zhang, Nan Zhang, Wantao Wu, Ran Zhou, Shuyu Li, Zeyu Wang, Ziyu Dai, Liyang Zhang, Zaoqu Liu, Jian Zhang, Peng Luo, Zhixiong Liu, Quan Cheng:
Machine learning-based tumor-infiltrating immune cell-associated lncRNAs for predicting prognosis and immunotherapy response in patients with glioblastoma. Briefings Bioinform. 23(6) (2022) - [j5]Mingqiang Huang, Yucen Liu, Changhai Man, Kai Li, Quan Cheng, Wei Mao, Hao Yu:
A High Performance Multi-Bit-Width Booth Vector Systolic Accelerator for NAS Optimized Deep Learning Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69(9): 3619-3631 (2022) - [j4]Wei Mao, Kai Li, Quan Cheng, Liuyao Dai, Boyu Li, Xinang Xie, He Li, Longyang Lin, Hao Yu:
A Configurable Floating-Point Multiple-Precision Processing Element for HPC and AI Converged Computing. IEEE Trans. Very Large Scale Integr. Syst. 30(2): 213-226 (2022) - [j3]Wei Mao, Liuyao Dai, Kai Li, Quan Cheng, Yuhang Wang, Laimin Du, Shaobo Luo, Mingqiang Huang, Hao Yu:
An Energy-Efficient Mixed-Bitwidth Systolic Accelerator for NAS-Optimized Deep Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 30(12): 1878-1890 (2022) - [c10]Liuyao Dai, Quan Cheng, Yuhang Wang, Gengbin Huang, Junzhuo Zhou, Kai Li, Wei Mao, Hao Yu:
An Energy-Efficient Bit-Split-and-Combination Systolic Accelerator for NAS-Based Multi-Precision Convolution Neural Networks. ASP-DAC 2022: 448-453 - [c9]Mingqiang Huang, Yucen Liu, Quan Cheng, Shuxin Yang, Kai Li, Junyi Luo, Zhengke Yang, Qiufeng Li, Hao Yu, Changhai Man:
A High Throughput Multi-bit-width 3D Systolic Accelerator for NAS Optimized Deep Neural Networks on FPGA. FPGA 2022: 50 - 2021
- [c8]Kai Li, Wei Mao, Xinang Xie, Quan Cheng, Huan Xie, Zhenjiang Dong, Hao Yu:
Multiple-Precision Floating-Point Dot Product Unit for Efficient Convolution Computation. AICAS 2021: 1-4 - [c7]Yimu Wang, Bo Xue, Quan Cheng, Yuhui Chen, Lijun Zhang:
Deep Unified Cross-Modality Hashing by Pairwise Data Alignment. IJCAI 2021: 1129-1135 - 2020
- [j2]Yang Yang, Quan Cheng, Yuanhao Zhu, Lilei Wang, Ruoyu Jin:
Feasibility Study of Tractor-Test Vehicle Technique for Practical Structural Condition Assessment of Beam-Like Bridge Deck. Remote. Sens. 12(1): 114 (2020) - [c6]Guanghui Wang, Shiyin Lu, Quan Cheng, Weiwei Tu, Lijun Zhang:
SAdam: A Variant of Adam for Strongly Convex Functions. ICLR 2020
2010 – 2019
- 2019
- [c5]Wentao Wang, Canhui Liao, Quan Cheng, Pengju Wang:
Mixed convolutional recurrent neural networks: learning for signal classification. AIIPCC 2019: 1:1-1:6 - 2018
- [j1]Hongyan Wang, Quan Cheng, Bingnan Pei:
Robust MIMO Radar Waveform Design to Improve the Worst-Case Detection Performance of STAP. IEICE Trans. Commun. 101-B(5): 1175-1182 (2018) - [c4]Boyang Yu, Jiejing Shao, Quan Cheng, Hang Yu, Guangli Li, Shuai Lü:
Multi-Source News Recommender System Based on Convolutional Neural Networks. ICIIP 2018: 17-23 - 2017
- [c3]Hang Yu, Quan Cheng, Jiejing Shao, Boyang Yu, Guangli Li, Shuai Lü:
WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks. GSKI (2) 2017: 531-543
2000 – 2009
- 2009
- [c2]Weidong Wang, Gang Cheng, Quan Cheng:
Free Vibration of Circular Plate with Oscillators and Elastic Supports at Arbitrary Positions by Integral Equation Method. CSIE (1) 2009: 755-759 - [c1]Eva Kraaijenbrink, Frank van Gils, Quan Cheng, Robert van Herk, Elise van den Hoven:
Balancing Skills to Optimize Fun in Interactive Board Games. INTERACT (1) 2009: 301-313
Coauthor Index
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