Deep Age Distribution Learning for Apparent Age Estimation. - Zeng-Wei Huo; Xu Yang 021; Chao Xing; Ying Zhou; Peng Hou; Jiaqi Lv; Xin Geng 001 (CVPR Workshops, 2016)

Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. - Peng Hou; Xin Geng 001; Zeng-Wei Huo; Jiaqi Lv (AAAI, 2017)

Machine Learning and Its Applications in Wireless Communications. - Jiaqi Lv; Zhenyu Na; Xin Liu 009; Zhian Deng (CSPS, 2017)

Outlier Filtering Algorithm for Indoor Pedestrian Walking Direction Estimation. - Jiaqi Lv; Zhenyu Na; Xin Liu 009; Tingting Yao; Zhian Deng (CSPS, 2017)

Partial Label Learning via Label Enhancement. - Ning Xu 009; Jiaqi Lv; Xin Geng 001 (AAAI, 2019)

Weakly Supervised Multi-Label Learning via Label Enhancement. - Jiaqi Lv; Ning Xu 009; RenYi Zheng; Xin Geng 001 (IJCAI, 2019)

GFDM Based Wireless Powered Communication for Cooperative Relay System. - Zhenyu Na; Jiaqi Lv; Mengshu Zhang; Bao Peng; Mudi Xiong; Mingxiang Guan (IEEE Access, 2019)

Joint Subcarrier and Subsymbol Allocation-Based Simultaneous Wireless Information and Power Transfer for Multiuser GFDM in IoT. - Zhenyu Na; Jiaqi Lv; Fan Jiang 002; Mudi Xiong; Nan Zhao 001 (IEEE Internet Things J., 2019)

Progressive Identification of True Labels for Partial-Label Learning. - Jiaqi Lv; Miao Xu 001; Lei Feng 006; Gang Niu 001; Xin Geng 001; Masashi Sugiyama (ICML, 2020)

Research On Adaptive Object Detection Method Of Kernel Correlation Filtering. - Tianbo Liu 002; Lixue Yin; Shuai Yuan 012; Jiaqi Lv; Feng Zhang 035 (ICVIP, 2020)

Research Approach of Hand Gesture Recognition based on Improved YOLOV3 network and Bayes classifier. - Shuai Yuan; Manfei Han; Lili Zhang; Jiaqi Lv; Feng Zhang (ICVIP, 2020)

Provably Consistent Partial-Label Learning. - Lei Feng 006; Jiaqi Lv; Bo Han 003; Miao Xu 001; Gang Niu 001; Xin Geng 001; Bo An 001; Masashi Sugiyama (NeurIPS, 2020)

Research of Siamese Network based Object Tracking Algorithm using Variational Bayes feature point matching. - Shuai Yuan; Gong Cheng; Guifu Liu; Jiaqi Lv; Feng Zhang (ICVIP, 2021)

On the Robustness of Average Losses for Partial-Label Learning. - Jiaqi Lv; Lei Feng 006; Miao Xu 001; Bo An 001; Gang Niu 001; Xin Geng 001; Masashi Sugiyama (CoRR, 2021)

Compact learning for multi-label classification. - Jiaqi Lv; Tianran Wu; Cheng-Lun Peng; Yunpeng Liu; Ning Xu 009; Xin Geng 001 (Pattern Recognit., 2021)

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. - Shiyu Xia; Jiaqi Lv; Ning Xu 009; Xin Geng 001 (IJCAI, 2022)

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. - Ning Xu 009; Congyu Qiao; Jiaqi Lv; Xin Geng 001; Min-Ling Zhang (NeurIPS, 2022)

Recovery Scheme with Resource Abstraction in Multi-Domain Quantum-Key-Distribution Networks. - Jiaqi Lv; Xiaosong Yu; Yongli Zhao; Avishek Nag; Jie Zhang 006 (OECC/PSC, 2022)

The Task Pre-Configuration Is Associated With Cognitive Performance Evidence From the Brain Synchrony. - Jie Xiang 002; Chanjuan Fan; Jing Wei 003; Ying Li; Bin Wang 020; Yan Niu; Lan Yang; Jiaqi Lv; Xiaohong Cui (Frontiers Comput. Neurosci., 2022)

Multilabel Ranking With Inconsistent Rankers. - Xin Geng 001; RenYi Zheng; Jiaqi Lv; Yu Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Towards Effective Visual Representations for Partial-Label Learning. - Shiyu Xia; Jiaqi Lv; Ning Xu 009; Gang Niu 001; Xin Geng 001 (CVPR, 2023)

Progressive Purification for Instance-Dependent Partial Label Learning. - Ning Xu 009; Biao Liu; Jiaqi Lv; Congyu Qiao; Xin Geng 001 (ICML, 2023)

Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. - Biao Liu; Ning Xu 009; Jiaqi Lv; Xin Geng 001 (ICML, 2023)

FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. - Congyu Qiao; Ning Xu 009; Jiaqi Lv; Yi Ren; Xin Geng 001 (ICML, 2023)

Improvement of Strong Tracking UKF-SLAM Approach using Three-position Ultrasonic Detection. - Shuai Yuan 012; Jian Wu; Fangjun Luan; Lili Zhang; Jiaqi Lv (Robotics Auton. Syst., 2023)

Learning With Proper Partial Labels. - Zhenguo Wu; Jiaqi Lv; Masashi Sugiyama (Neural Comput., 2023)

DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data. - Jiaqi Lv; Qizhen Hong; Xiaoyong Wang; Zhiping Mao; Quanhua Sun (J. Comput. Phys., 2023)

Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency. - Yangfan Liu; Jiaqi Lv; Xin Geng 001; Ning Xu 009 (ICML, 2024)

What Makes Partial-Label Learning Algorithms Effective? - Jiaqi Lv; Yangfan Liu; Shiyu Xia; Ning Xu 009; Miao Xu 001; Gang Niu 001; Min-Ling Zhang; Masashi Sugiyama; Xin Geng 001 (NeurIPS, 2024)

Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework. - Kaihui Wang; Wei Zou; Ruichen Ma; Jiaqi Lv; Hu Su; Yu Wang 062; Hongxuan Ma (IEEE Robotics Autom. Mag., 2024)

On the Robustness of Average Losses for Partial-Label Learning. - Jiaqi Lv; Biao Liu; Lei Feng 006; Ning Xu 009; Miao Xu 001; Bo An 001; Gang Niu 001; Xin Geng 001; Masashi Sugiyama (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning. - Yu Zhang; Qingfeng Du; Jiaqi Lv (ICIC (10), 2025)

Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images. - Jiaqi Lv; Stefan S. Antonowicz; Shan-E-Ahmed Raza (ISBI, 2025)

Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images. - Jiaqi Lv; Yijie Zhu; Carmen Guadalupe Colin Tenorio; Brinder Singh Chohan; Mark Eastwood; Shan E Ahmed Raza (MIUA (1), 2025)

Asynchronous filtering for two-dimensional Markovian jump systems with time delays under stochastic communication protocol and hybrid cyber attacks. - Pan Zhang; Chaoqun Zhu; Bin Yang; Zhiwen Wang; Jiaqi Lv (Trans. Inst. Meas. Control, 2025)

ADIMPL: a dynamic, real-time and robustness attack detection model for industrial cyber-physical systems based on improved meta pseudo labels. - Bohan Zhang; Pan Zhang; Zhiwen Wang; Jiaqi Lv; Wei Miao (Appl. Intell., 2025)

GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning. - Shunxin Guo; Jiaqi Lv; Qiufeng Wang; Xin Geng 001 (CoRR, 2025)

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning. - Shunxin Guo; Jiaqi Lv; Xin Geng 001 (CoRR, 2025)

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration. - Jiaqi Lv; Xufeng He; Yanchen Liu; Xu Dai; Yang Hu 001; Shouyi Yin (CoRR, 2025)

Cruise and Operation of a Biomimetic Underwater Vehicle via Parametrization Adaptive Model Predictive Control. - Yu Wang 062; Jiaqi Lv; Xuejian Bai; Shuo Wang 001; Ning Sun 002; Wei Wang 292; Long Cheng 001; Zengguang Hou; Min Tan 001 (IEEE Trans. Ind. Electron., 2025)

Design and Pipeline Tracking Control of an Underwater Biomimetic Vehicle-Manipulator System With Hybrid Propulsion. - Xuejian Bai; Yu Wang 062; Zixuan Yang; Jiaqi Lv; Xiaolong Hui; Shuo Wang 001; Min Tan 001 (IEEE Trans. Cybern., 2025)