Qianyu Guo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Weakly Supervised

Object Detection

Quality Assessment

Top Venues

Publications

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 (2024)
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 (2024)
Qianyu Guo, Jiaming Fu, Yawen Lu, Dongming Gan
Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking. CoRR (2024)
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)
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)
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) (2024)
Qianyu Guo, Jiaming Fu, Yawen Lu, Dongming Gan
Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking. VR Workshops (2024)
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) (2024)
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)
Yawen Lu, Zhuoyang Sun, Jinyuan Shao, Qianyu Guo, Yunhan Huang, Songlin Fei, Victor Chen
LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application. CoRR (2024)
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 (2023)
Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge
RankDNN: Learning to Rank for Few-Shot Learning. AAAI (2023)
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 (2023)
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)
Jie Zhang, Gang Zhou, Qianyu Guo, Zhiyong Feng, Xiaohong Li
BACH: Black-Box Attacking on Deep Cross-Modal Hamming Retrieval Models. DASFAA (3) (2023)
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 (2023)
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 (2023)
Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. CoRR (2022)
Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang
Weakly-Supervised Salient Object Detection Using Point Supervison. AAAI (2022)
Qianyu Guo, Hongtong Gong, Xujun Wei, Yanwei Fu, Weifeng Ge, Yizhou Yu, Wenqiang Zhang
RankDNN: Learning to Rank for Few-shot Learning. CoRR (2022)
Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. ASE (2022)
Shuyong Gao, Haozhe Xing, Wei Zhang, Yan Wang, Qianyu Guo, Wenqiang Zhang
Weakly Supervised Video Salient Object Detection via Point Supervision. CoRR (2022)
Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang
Weakly-Supervised Salient Object Detection Using Point Supervison. CoRR (2022)
Shuyong Gao, Haozhe Xing, Wei Zhang, Yan Wang, Qianyu Guo, Wenqiang Zhang
Weakly Supervised Video Salient Object Detection via Point Supervision. ACM Multimedia (2022)
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)
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 (2021)
Jing Wen, Qianyu Guo
When Distortion Meets Perceptual Quality: A Multi-task Learning Pipeline. PRICAI (3) (2021)
Yuxuan Li, Ruitao Feng, Sen Chen, Qianyu Guo, Lingling Fan, Xiaohong Li
IconChecker: Anomaly Detection of Icon-Behaviors for Android Apps. APSEC (2021)
Shuyong Gao, Qianyu Guo, Wei Zhang, Wenqiang Zhang, Zhongwei Ji
Dual-Stream Network Based On Global Guidance for Salient Object Detection. ICASSP (2021)
Qianyu Guo, Jianzhong Qi
SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation. CoRR (2020)
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)
Qianyu Guo, Xiaofei Xie, Yi Li, Xiaoyu Zhang, Yang Liu, Xiaohong Li, Chao Shen
Audee: Automated Testing for Deep Learning Frameworks. ASE (2020)
Qianyu Guo, Jing Wen
Multi-level Fusion Based Deep Convolutional Network for Image Quality Assessment. ICPR Workshops (6) (2020)
Yawen Lu, Qianyu Guo, Guoyu Lu
A Geometric Convolutional Neural Network for 3D Object Detection. GlobalSIP (2019)
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 (2019)
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)
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 (2018)