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Jiaqi Lv
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2020 – today
- 2024
- [j10]Jiaqi Lv
, Biao Liu
On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2569-2583 (2024) - [j9]Kaihui Wang
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework. IEEE Robotics Autom. Mag. 31(1): 18-28 (2024) - [c19]Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu:
Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency. ICML 2024 - 2023
- [j8]Jiaqi Lv, Qizhen Hong
DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data. J. Comput. Phys. 491: 112344 (2023) - [j7]Zhenguo Wu, Jiaqi Lv, Masashi Sugiyama:
Learning With Proper Partial Labels. Neural Comput. 35(1): 58-81 (2023) - [j6]Shuai Yuan
Improvement of Strong Tracking UKF-SLAM Approach using Three-position Ultrasonic Detection. Robotics Auton. Syst. 159: 104305 (2023) - [c18]Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng:
Towards Effective Visual Representations for Partial-Label Learning. CVPR 2023: 15589-15598 - [c17]Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng:
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. ICML 2023: 22249-22265 - [c16]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: 28321-28336 - [c15]Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng:
Progressive Purification for Instance-Dependent Partial Label Learning. ICML 2023: 38551-38565 - [i7]Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng:
Towards Effective Visual Representations for Partial-Label Learning. CoRR abs/2305.06080 (2023) - 2022
- [j5]Jie Xiang, Chanjuan Fan, Jing Wei, Ying Li, Bin Wang
The Task Pre-Configuration Is Associated With Cognitive Performance Evidence From the Brain Synchrony. Frontiers Comput. Neurosci. 16: 883660 (2022) - [j4]Xin Geng
Multilabel Ranking With Inconsistent Rankers. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5211-5224 (2022) - [c14]Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng:
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. IJCAI 2022: 3615-3621 - [c13]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 - [c12]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: 1-3 - [i6]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 abs/2206.00517 (2022) - [i5]Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng:
Progressive Purification for Instance-Dependent Partial Label Learning. CoRR abs/2206.00830 (2022) - 2021
- [j3]Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu
Compact learning for multi-label classification. Pattern Recognit. 113: 107833 (2021) - [c11]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: 155-161 - [i4]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 abs/2106.06152 (2021) - 2020
- [c10]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. ICML 2020: 6500-6510 - [c9]Tianbo Liu, Lixue Yin, Shuai Yuan, Jiaqi Lv, Feng Zhang:
Research On Adaptive Object Detection Method Of Kernel Correlation Filtering. ICVIP 2020: 55-61 - [c8]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: 140-146 - [c7]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. NeurIPS 2020 - [i3]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. CoRR abs/2002.08053 (2020) - [i2]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. CoRR abs/2007.08929 (2020) - [i1]Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng:
Compact Learning for Multi-Label Classification. CoRR abs/2009.08607 (2020)
2010 – 2019
- 2019
- [j2]Zhenyu Na
GFDM Based Wireless Powered Communication for Cooperative Relay System. IEEE Access 7: 50971-50979 (2019) - [j1]Zhenyu Na
Joint Subcarrier and Subsymbol Allocation-Based Simultaneous Wireless Information and Power Transfer for Multiuser GFDM in IoT. IEEE Internet Things J. 6(4): 5999-6006 (2019) - [c6]Ning Xu, Jiaqi Lv, Xin Geng:
Partial Label Learning via Label Enhancement. AAAI 2019: 5557-5564 - [c5]Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng:
Weakly Supervised Multi-Label Learning via Label Enhancement. IJCAI 2019: 3101-3107 - 2017
- [c4]Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv:
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. AAAI 2017: 2015-2021 - [c3]Jiaqi Lv, Zhenyu Na, Xin Liu, Tingting Yao, Zhian Deng:
Outlier Filtering Algorithm for Indoor Pedestrian Walking Direction Estimation. CSPS 2017: 2421-2428 - [c2]Jiaqi Lv, Zhenyu Na, Xin Liu, Zhian Deng:
Machine Learning and Its Applications in Wireless Communications. CSPS 2017: 2429-2436 - 2016
- [c1]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: 722-729
Coauthor Index
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last updated on 2024-11-18 20:48 CET by the dblp team
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