Jiaqi Lv

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Bayes Classifier

Gesture Recognition

Weakly Supervised

Top Venues

Publications

Kaihui Wang, Wei Zou, Ruichen Ma, Jiaqi Lv, Hu Su, Yu Wang, Hongxuan Ma
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework. IEEE Robotics Autom. Mag. 31 (1) (2024)
Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
Towards Effective Visual Representations for Partial-Label Learning. CVPR (2023)
Jiaqi Lv, Qizhen Hong, Xiaoyong Wang, Zhiping Mao, Quanhua Sun
DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data. J. Comput. Phys. 491 (2023)
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
Towards Effective Visual Representations for Partial-Label Learning. CoRR (2023)
Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng
Progressive Purification for Instance-Dependent Partial Label Learning. ICML (2023)
Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. ICML (2023)
Zhenguo Wu, Jiaqi Lv, Masashi Sugiyama
Learning With Proper Partial Labels. Neural Comput. 35 (1) (2023)
Shuai Yuan, Jian Wu, Fangjun Luan, Lili Zhang, Jiaqi Lv
Improvement of Strong Tracking UKF-SLAM Approach using Three-position Ultrasonic Detection. Robotics Auton. Syst. 159 (2023)
Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. ICML (2023)
Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng
Progressive Purification for Instance-Dependent Partial Label Learning. CoRR (2022)
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. NeurIPS (2022)
Jie Xiang, Chanjuan Fan, Jing Wei, Ying Li, Bin Wang, Yan Niu, Lan Yang, Jiaqi Lv, Xiaohong Cui
The Task Pre-Configuration Is Associated With Cognitive Performance Evidence From the Brain Synchrony. Frontiers Comput. Neurosci. 16 (2022)
Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. IJCAI (2022)
Xin Geng, RenYi Zheng, Jiaqi Lv, Yu Zhang
Multilabel Ranking With Inconsistent Rankers. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Jiaqi Lv, Xiaosong Yu, Yongli Zhao, Avishek Nag, Jie Zhang
Recovery Scheme with Resource Abstraction in Multi-Domain Quantum-Key-Distribution Networks. OECC/PSC (2022)
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. CoRR (2022)
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yun-Peng Liu, Ning Xu, Xin Geng
Compact learning for multi-label classification. Pattern Recognit. 113 (2021)
Shuai Yuan, Gong Cheng, Guifu Liu, Jiaqi Lv, Feng Zhang
Research of Siamese Network based Object Tracking Algorithm using Variational Bayes feature point matching. ICVIP (2021)
Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
On the Robustness of Average Losses for Partial-Label Learning. CoRR (2021)
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
Provably Consistent Partial-Label Learning. NeurIPS (2020)
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
Progressive Identification of True Labels for Partial-Label Learning. CoRR (2020)
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
Progressive Identification of True Labels for Partial-Label Learning. ICML (2020)
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
Provably Consistent Partial-Label Learning. CoRR (2020)
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yun-Peng Liu, Ning Xu, Xin Geng
Compact Learning for Multi-Label Classification. CoRR (2020)
Tianbo Liu, Lixue Yin, Shuai Yuan, Jiaqi Lv, Feng Zhang
Research On Adaptive Object Detection Method Of Kernel Correlation Filtering. ICVIP (2020)
Shuai Yuan, Manfei Han, Lili Zhang, Jiaqi Lv, Feng Zhang
Research Approach of Hand Gesture Recognition based on Improved YOLOV3 network and Bayes classifier. ICVIP (2020)
Ning Xu, Jiaqi Lv, Xin Geng
Partial Label Learning via Label Enhancement. AAAI (2019)
Zhenyu Na, Jiaqi Lv, Mengshu Zhang, Bao Peng, Mudi Xiong, Mingxiang Guan
GFDM Based Wireless Powered Communication for Cooperative Relay System. IEEE Access 7 (2019)
Zhenyu Na, Jiaqi Lv, Fan Jiang, Mudi Xiong, Nan Zhao
Joint Subcarrier and Subsymbol Allocation-Based Simultaneous Wireless Information and Power Transfer for Multiuser GFDM in IoT. IEEE Internet Things J. 6 (4) (2019)
Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng
Weakly Supervised Multi-Label Learning via Label Enhancement. IJCAI (2019)
Jiaqi Lv, Zhenyu Na, Xin Liu, Tingting Yao, Zhian Deng
Outlier Filtering Algorithm for Indoor Pedestrian Walking Direction Estimation. CSPS (2017)
Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. AAAI (2017)
Jiaqi Lv, Zhenyu Na, Xin Liu, Zhian Deng
Machine Learning and Its Applications in Wireless Communications. CSPS (2017)
Zeng-Wei Huo, Xu Yang, Chao Xing, Ying Zhou, Peng Hou, Jiaqi Lv, Xin Geng
Deep Age Distribution Learning for Apparent Age Estimation. CVPR Workshops (2016)