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Zixuan Zhu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j5]Zijian Yuan, Pengwei Shao, Jinran Li, Yinuo Wang, Zixuan Zhu, Weijie Qiu, Buqun Chen, Yan Tang, Aiqing Han:
YOLOv8-ACU: improved YOLOv8-pose for facial acupoint detection. Frontiers Neurorobotics 18 (2024) - [j4]Chenglong Yu, Weibin Li, Wei Li, Zixuan Zhu, Ruochen Liu, Biao Hou, Licheng Jiao:
A survey for table recognition based on deep learning. Neurocomputing 600: 128154 (2024) - [i6]Zukang Yang, Zixuan Zhu:
CuriousLLM: Elevating Multi-Document QA with Reasoning-Infused Knowledge Graph Prompting. CoRR abs/2404.09077 (2024) - [i5]Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing:
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data. CoRR abs/2404.11265 (2024) - 2023
- [c11]Yitong Hu
, Zixuan Zhu
, Yizhe Wang
, Junxiang Wang
, Zehao Xing
:
A Novel Scholar Embedding Model for Interdisciplinary Collaboration. CNIOT 2023: 500-505 - [c10]Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing:
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data. ICCV 2023: 155-164 - [c9]Rui Wang
, Cong Zou
, Weizhong Zhang
, Zixuan Zhu
, Lihua Jing
:
Consistency-aware Feature Learning for Hierarchical Fine-grained Visual Classification. ACM Multimedia 2023: 2326-2334 - [c8]Kanzhi Cheng
, Wenpo Song
, Zheng Ma
, Wenhao Zhu
, Zixuan Zhu
, Jianbing Zhang
:
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model. ACM Multimedia 2023: 5038-5047 - [c7]Zheng Ma, Changxin Wang, Bo Huang, Zixuan Zhu, Jianbing Zhang:
Bounding and Filling: A Fast and Flexible Framework for Image Captioning. NLPCC (1) 2023: 469-481 - [i4]Yitong Hu, Zixuan Zhu, Yizhe Wang, Junxiang Wang, Zehao Xing:
A Novel Scholar Embedding Model for Interdisciplinary Collaboration. CoRR abs/2303.09607 (2023) - [i3]Kanzhi Cheng, Wenpo Song, Zheng Ma, Wenhao Zhu, Zixuan Zhu, Jianbing Zhang:
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model. CoRR abs/2308.01126 (2023) - [i2]Zhiyi Huang, Zahra Parsaeian, Zixuan Zhu:
Laminar Matroid Secretary: Greedy Strikes Back. CoRR abs/2308.09880 (2023) - [i1]Zheng Ma, Changxin Wang, Bo Huang, Zixuan Zhu, Jianbing Zhang:
Bounding and Filling: A Fast and Flexible Framework for Image Captioning. CoRR abs/2310.09876 (2023) - 2022
- [j3]Ruixin Mao, Sixu Li
, Zhaomin Zhang
, Zihan Xia
, Jianbiao Xiao
, Zixuan Zhu
, Jiahao Liu
, Weiwei Shan
, Liang Chang
, Jun Zhou
:
An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning. IEEE Trans. Biomed. Circuits Syst. 16(5): 832-841 (2022) - [c6]Jiahao Liu, Jianbiao Xiao
, Jiajing Fan, Qingsong Liu, Zixuan Zhu
, Sixu Li
, Zhaomin Zhang, Siqi Yang, Weiwei Shan, Shuisheng Lin, Liang Chang, Liang Zhou, Jun Zhou:
An Energy-Efficient Cardiac Arrhythmia Classification Processor using Heartbeat Difference based Classification and Event-Driven Neural Network Computation with Adaptive Wake-Up. CICC 2022: 1-2 - 2021
- [j2]Liang Chang, Chenglong Li, Zhaomin Zhang, Jianbiao Xiao
, Qingsong Liu, Zhen Zhu, Weihang Li, Zixuan Zhu, Siqi Yang, Jun Zhou:
Energy-efficient computing-in-memory architecture for AI processor: device, circuit, architecture perspective. Sci. China Inf. Sci. 64(6) (2021) - [c5]Liang Chang, Zixuan Zhu
, Zhen Zhu, Siqi Yang, Weihang Li, Jun Zhou:
Energy-Efficient Spin-Orbit Torque MRAM Operations for Neural Network Processor. ISCAS 2021: 1-5 - [c4]Liang Chang, Chenglong Li, Xin Zhao, Zixuan Zhu
, Yi Tong, Shuisheng Lin, Jun Zhou:
Trend of Emerging Non-Volatile Memory for AI Processor. ISOCC 2021: 223-224 - [c3]Hang Lu, Liang Chang, Chenglong Li, Zixuan Zhu
, Shengjian Lu, Yanhuan Liu, Mingzhe Zhang:
Distilling Bit-level Sparsity Parallelism for General Purpose Deep Learning Acceleration. MICRO 2021: 963-976 - [c2]Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang, Yanghua Li:
Large-scale Comb-K Recommendation. WWW 2021: 2512-2523 - 2020
- [c1]Yuan Zhao, Tianjie Xu, Zixuan Zhu, Feng Zhou:
A train operation plan optimization method to maximize the utilization of regenerative energy for metro systems. ITSC 2020: 1-6
2010 – 2019
- 2018
- [j1]Zixuan Zhu, Yuhai Zhao:
Multi-Graph Multi-Label Learning Based on Entropy. Entropy 20(4): 245 (2018)
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