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2020 – today
- 2024
[j3]Chao Wang
, Wangzilu Lu, Jiajie Huang, Qianyu Guo, Ting Zhou, Jian Zhao, Yongfu Li:
Flexi-EIT: A Flexible and Reconfigurable Active Electrode Electrical Impedance Tomography System. IEEE Trans. Biomed. Circuits Syst. 18(1): 89-99 (2024)- [j2]Yawen Lu, Jie Zhang, Su Sun, Qianyu Guo, Zhiwen Cao, Songlin Fei, Baijian Yang, Yingjie Victor Chen:
Label-Efficient Video Object Segmentation With Motion Clues. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6710-6721 (2024) - [c22]Nailei Hei, Qianyu Guo, Zihao Wang, Yan Wang, Haofen Wang, Wenqiang Zhang:
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis. AAAI 2024: 2139-2147 - [c21]Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera:
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision. CVPR 2024: 22160-22169 - [c20]Yuzhou Zhao, Xinyu Zhou, Haijing Guo, Qianyu Guo, Yan Zuo, Shaoli Song, Shuyong Gao, Wenqiang Zhang:
Attention in Attention for PET-CT Modality Consensus Lung Tumor Segmentation. ICME 2024: 1-7 - [c19]Qianyu Guo, Jieji Ren, Haofen Wang, Tianxing Wu, Weifeng Ge, Wenqiang Zhang:
Visual-Language Collaborative Representation Network for Broad-Domain Few-Shot Image Classification. ACM Multimedia 2024: 738-747 - [c18]Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin:
Flames: Benchmarking Value Alignment of LLMs in Chinese. NAACL-HLT 2024: 4551-4591 - [c17]Yawen Lu, Zhuoyang Sun, Jinyuan Shao, Qianyu Guo, Yunhan Huang, Songlin Fei, Victor Y. Chen:
LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application. VR Workshops 2024: 112-116 - [c16]Qianyu Guo, Jiaming Fu, Yawen Lu, Dongming Gan:
Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking. VR Workshops 2024: 975-976 - [i15]Yawen Lu, Zhuoyang Sun, Jinyuan Shao, Qianyu Guo, Yunhan Huang, Songlin Fei, Yingjie Chen:
LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application. CoRR abs/2402.04546 (2024) - [i14]Nailei Hei, Qianyu Guo, Zihao Wang, Yan Wang, Haofen Wang, Wenqiang Zhang:
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis. CoRR abs/2402.12760 (2024) - [i13]Qianyu Guo, Jiaming Fu, Yawen Lu, Dongming Gan:
Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking. CoRR abs/2403.14778 (2024) - [i12]Qianyu Guo, Ziqing Yu, Jiaming Fu, Yawen Lu, Yahya H. Zweiri, Dongming Gan:
Force-EvT: A Closer Look at Robotic Gripper Force Measurement with Event-based Vision Transformer. CoRR abs/2404.01170 (2024) - 2023
- [c15]Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge:
RankDNN: Learning to Rank for Few-Shot Learning. AAAI 2023: 728-736 - [c14]Qianyu Guo, Huifang Du, Xing Jia, Shuyong Gao, Yan Teng, Haofen Wang, Wenqiang Zhang:
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification. BIBM 2023: 1096-1103 - [c13]Jie Zhang, Gang Zhou, Qianyu Guo, Zhiyong Feng, Xiaohong Li:
BACH: Black-Box Attacking on Deep Cross-Modal Hamming Retrieval Models. DASFAA (3) 2023: 441-456 - [i11]Qianyu Guo, Huifang Du, Xing Jia, Shuyong Gao, Yan Teng, Haofen Wang, Wenqiang Zhang:
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification. CoRR abs/2310.09471 (2023) - [i10]Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin:
Flames: Benchmarking Value Alignment of Chinese Large Language Models. CoRR abs/2311.06899 (2023) - [i9]Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Qianyu Guo, Meng Wang, Haofen Wang:
Retrieval-Augmented Generation for Large Language Models: A Survey. CoRR abs/2312.10997 (2023) - [i8]Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera:
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision. CoRR abs/2312.16256 (2023) - 2022
- [c12]Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang:
Weakly-Supervised Salient Object Detection Using Point Supervison. AAAI 2022: 670-678 - [c11]Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu:
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. ASE 2022: 105:1-105:13 - [c10]Shuyong Gao, Haozhe Xing, Wei Zhang, Yan Wang, Qianyu Guo, Wenqiang Zhang:
Weakly Supervised Video Salient Object Detection via Point Supervision. ACM Multimedia 2022: 3656-3665 - [i7]Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang:
Weakly-Supervised Salient Object Detection Using Point Supervison. CoRR abs/2203.11652 (2022) - [i6]Shuyong Gao, Haozhe Xing, Wei Zhang, Yan Wang, Qianyu Guo, Wenqiang Zhang:
Weakly Supervised Video Salient Object Detection via Point Supervision. CoRR abs/2207.07269 (2022) - [i5]Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu:
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. CoRR abs/2209.04791 (2022) - [i4]Qianyu Guo, Hongtong Gong, Xujun Wei, Yanwei Fu, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
RankDNN: Learning to Rank for Few-shot Learning. CoRR abs/2211.15320 (2022) - 2021
- [j1]Qianyu Guo, Tingfa Xu, Bo Huang, Xu Ma, Jihui Wang, Xiangmin Li:
Foreground-aware Siamese tracker with dynamic template in wireless sensor networks. Ad Hoc Networks 113: 102356 (2021) - [c9]Yuxuan Li, Ruitao Feng, Sen Chen, Qianyu Guo, Lingling Fan, Xiaohong Li:
IconChecker: Anomaly Detection of Icon-Behaviors for Android Apps. APSEC 2021: 202-212 - [c8]Shuyong Gao, Qianyu Guo, Wei Zhang, Wenqiang Zhang, Zhongwei Ji:
Dual-Stream Network Based On Global Guidance for Salient Object Detection. ICASSP 2021: 1495-1499 - [c7]Yan Wu, Qianyu Guo, Wangzilu Lu, Jiajie Huang, Liang Ying, Mingyi Chen, Yongfu Li:
A Thorax-Like Mesh Phantom for Testing Electrical Impedance Tomography System Performance. NEWCAS 2021: 1-4 - [c6]Jing Wen, Qianyu Guo:
When Distortion Meets Perceptual Quality: A Multi-task Learning Pipeline. PRICAI (3) 2021: 353-365 - 2020
- [c5]Qianyu Guo, Jing Wen:
Multi-level Fusion Based Deep Convolutional Network for Image Quality Assessment. ICPR Workshops (6) 2020: 670-678 - [c4]Qianyu Guo, Xiaofei Xie, Yi Li, Xiaoyu Zhang, Yang Liu, Xiaohong Li, Chao Shen:
Audee: Automated Testing for Deep Learning Frameworks. ASE 2020: 486-498 - [c3]Lili Quan, Qianyu Guo, Hongxu Chen, Xiaofei Xie, Xiaohong Li, Yang Liu, Jing Hu:
SADT: Syntax-Aware Differential Testing of Certificate Validation in SSL/TLS Implementations. ASE 2020: 524-535 - [i3]Qianyu Guo, Jianzhong Qi:
SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation. CoRR abs/2001.10379 (2020)
2010 – 2019
- 2019
- [c2]Yawen Lu, Qianyu Guo, Guoyu Lu:
A Geometric Convolutional Neural Network for 3D Object Detection. GlobalSIP 2019: 1-5 - [c1]Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms. ASE 2019: 810-822 - [i2]Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms. CoRR abs/1909.06727 (2019) - 2018
- [i1]Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms. CoRR abs/1811.05187 (2018)
Coauthor Index
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last updated on 2024-11-13 23:45 CET by the dblp team
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