Jiaqi Lv

62 papers A* 14B 1Journal 36Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling.
CoRR
Jianlu Shen, Fu Feng, Jiaze Xu, Yucheng Xie, Jiaqi Lv, Xin Geng
2026 J jnl
Graph Negative Feedback Bias Correction Framework for Adaptive Heterophily Modeling.
CoRR
Jiaqi Lv, Qingfeng Du, Yu Zhang, Yongqi Han, Sheng Li
2026 J jnl
Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection.
CoRR
Jiaqi Lv, Qingfeng Du, Yu Zhang, Yongqi Han, Sheng Li
2026 J jnl
One-for-All Model Initialization with Frequency-Domain Knowledge.
CoRR
Jianlu Shen, Fu Feng, Yucheng Xie, Jiaqi Lv, Xin Geng
2026 J jnl
iScript: A Domain-Adapted Large Language Model and Benchmark for Physical Design Tcl Script Generation.
CoRR
Ning Xu, Zhaoyang Zhang, Senlin Shu, Lei Qi, Jiaqi Lv, Wensuo Wang, Tianhao Zhao, Chao Zhang, Zhaohui Yang, Xiangyu Li, Zhaorui Su, Jingshan Li, Xin Geng
2025 J jnl
ADIMPL: a dynamic, real-time and robustness attack detection model for industrial cyber-physical systems based on improved meta pseudo labels.
Appl. Intell.
Bohan Zhang, Pan Zhang, Zhiwen Wang, Jiaqi Lv, Wei Miao
2025 — conf
AnalogAI: A Generalized Accuracy Recovery Framework for DNNs under Analog Computing.
AICAS
Yinghao Li, Jiaqi Lv, Xueling Wang, Xu Dai, Xufeng He, Lei Wang, Yiran Zhang, Xin Si, Yang Hu, Shouyi Yin
2025 J jnl
Asynchronous filtering for two-dimensional Markovian jump systems with time delays under stochastic communication protocol and hybrid cyber attacks.
Trans. Inst. Meas. Control
Pan Zhang, Chaoqun Zhu, Bin Yang, Zhiwen Wang, Jiaqi Lv
2025 J jnl
Autonomous Free-Floating Underwater Assembly Control for an Underwater Biomimetic Vehicle-Manipulator System.
IEEE Trans. Ind. Electron.
Xuejian Bai, Yu Wang, Jiaqi Lv, Long Cheng, Shuo Wang, Min Tan
2025 J jnl
Cruise and Operation of a Biomimetic Underwater Vehicle via Parametrization Adaptive Model Predictive Control.
IEEE Trans. Ind. Electron.
Yu Wang, Jiaqi Lv, Xuejian Bai, Shuo Wang, Ning Sun, Wei Wang, Long Cheng, Zengguang Hou, Min Tan
2025 — conf
Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images.
ISBI
Jiaqi Lv, Stefan S. Antonowicz, Shan-E-Ahmed Raza
2025 J jnl
Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images.
CoRR
Jiaqi Lv, Stefan S. Antonowicz, Shan E Ahmed Raza
2025 J jnl
Design and Pipeline Tracking Control of an Underwater Biomimetic Vehicle-Manipulator System With Hybrid Propulsion.
IEEE Trans. Cybern.
Xuejian Bai, Yu Wang, Zixuan Yang, Jiaqi Lv, Xiaolong Hui, Shuo Wang, Min Tan
2025 B conf
FedAF: Alignment-Augmented Fusion for Federated Multimodal Learning with Small Labels.
IWQoS
Guanbo Wang, Yongheng Deng, Li Li, Yingjun Wu, Jiaqi Lv, Xinyi Li, Tuowei Wang, Yaoxue Zhang, Ju Ren
2025 — conf
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning.
ICIC (10)
Yu Zhang, Qingfeng Du, Jiaqi Lv
2025 J jnl
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning.
CoRR
Yu Zhang, Qingfeng Du, Jiaqi Lv
2025 J jnl
GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning.
CoRR
Shunxin Guo, Jiaqi Lv, Qiufeng Wang, Xin Geng
2025 J jnl
HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration.
CoRR
Jiaqi Lv, Xufeng He, Yanchen Liu, Xu Dai, Yang Hu, Shouyi Yin
2025 J jnl
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning.
CoRR
Shunxin Guo, Jiaqi Lv, Xin Geng
2025 A* conf
Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales.
ICML
Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng
2025 — conf
Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images.
MIUA (1)
Jiaqi Lv, Yijie Zhu, Carmen Guadalupe Colin Tenorio, Brinder Singh Chohan, Mark Eastwood, Shan E Ahmed Raza
2025 J jnl
Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images.
CoRR
Jiaqi Lv, Yijie Zhu, Carmen Guadalupe Colin Tenorio, Brinder Singh Chohan, Mark Eastwood, Shan E Ahmed Raza
2025 J jnl
MitoDetect++: A Domain-Robust Pipeline for Mitosis Detection and Atypical Subtyping.
CoRR
Esha Sadia Nasir, Jiaqi Lv, Mostafa Jahanifar, Shan-E-Ahmed Raza
2025 J jnl
ModalSurv: A Multimodal Deep Survival Framework for Prostate and Bladder Cancer.
CoRR
Noorul Wahab, Ethar Alzaid, Jiaqi Lv, Adam Shephard, Shan E Ahmed Raza
2025 J jnl
TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models.
CoRR
Zhifang Zhang, Qiqi Tao, Jiaqi Lv, Na Zhao, Lei Feng, Joey Tianyi Zhou
2024 J jnl
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework.
IEEE Robotics Autom. Mag.
Kaihui Wang, Wei Zou, Ruichen Ma, Jiaqi Lv, Hu Su, Yu Wang, Hongxuan Ma
2024 A* conf
Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency.
ICML
Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu
2024 J jnl
On the Robustness of Average Losses for Partial-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2024 A* conf
What Makes Partial-Label Learning Algorithms Effective?
NeurIPS
Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng
2023 J jnl
DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data.
J. Comput. Phys.
Jiaqi Lv, Qizhen Hong, Xiaoyong Wang, Zhiping Mao, Quanhua Sun
2023 A* conf
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning.
ICML
Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng
2023 J jnl
Improvement of Strong Tracking UKF-SLAM Approach using Three-position Ultrasonic Detection.
Robotics Auton. Syst.
Shuai Yuan, Jian Wu, Fangjun Luan, Lili Zhang, Jiaqi Lv
2023 J jnl
Learning With Proper Partial Labels.
Neural Comput.
Zhenguo Wu, Jiaqi Lv, Masashi Sugiyama
2023 A* conf
Progressive Purification for Instance-Dependent Partial Label Learning.
ICML
Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng
2023 A* conf
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning.
ICML
Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng
2023 A* conf
Towards Effective Visual Representations for Partial-Label Learning.
CVPR
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
2023 J jnl
Towards Effective Visual Representations for Partial-Label Learning.
CoRR
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
2022 A* conf
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning.
IJCAI
Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng
2022 J jnl
Multilabel Ranking With Inconsistent Rankers.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Geng, RenYi Zheng, Jiaqi Lv, Yu Zhang
2022 A* conf
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.
NeurIPS
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
2022 J jnl
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.
CoRR
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
2022 J jnl
Progressive Purification for Instance-Dependent Partial Label Learning.
CoRR
Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng
2022 — conf
Recovery Scheme with Resource Abstraction in Multi-Domain Quantum-Key-Distribution Networks.
OECC/PSC
Jiaqi Lv, Xiaosong Yu, Yongli Zhao, Avishek Nag, Jie Zhang
2022 J jnl
The Task Pre-Configuration Is Associated With Cognitive Performance Evidence From the Brain Synchrony.
Frontiers Comput. Neurosci.
Jie Xiang, Chanjuan Fan, Jing Wei, Ying Li, Bin Wang, Yan Niu, Lan Yang, Jiaqi Lv, Xiaohong Cui
2021 J jnl
Compact learning for multi-label classification.
Pattern Recognit.
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng
2021 J jnl
On the Robustness of Average Losses for Partial-Label Learning.
CoRR
Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2021 — conf
Research of Siamese Network based Object Tracking Algorithm using Variational Bayes feature point matching.
ICVIP
Shuai Yuan, Gong Cheng, Guifu Liu, Jiaqi Lv, Feng Zhang
2020 J jnl
Compact Learning for Multi-Label Classification.
CoRR
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng
2020 A* conf
Progressive Identification of True Labels for Partial-Label Learning.
ICML
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
2020 J jnl
Progressive Identification of True Labels for Partial-Label Learning.
CoRR
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
2020 A* conf
Provably Consistent Partial-Label Learning.
NeurIPS
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
2020 J jnl
Provably Consistent Partial-Label Learning.
CoRR
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
2020 — conf
Research Approach of Hand Gesture Recognition based on Improved YOLOV3 network and Bayes classifier.
ICVIP
Shuai Yuan, Manfei Han, Lili Zhang, Jiaqi Lv, Feng Zhang
2020 — conf
Research On Adaptive Object Detection Method Of Kernel Correlation Filtering.
ICVIP
Tianbo Liu, Lixue Yin, Shuai Yuan, Jiaqi Lv, Feng Zhang
2019 J jnl
GFDM Based Wireless Powered Communication for Cooperative Relay System.
IEEE Access
Zhenyu Na, Jiaqi Lv, Mengshu Zhang, Bao Peng, Mudi Xiong, Mingxiang Guan
2019 J jnl
Joint Subcarrier and Subsymbol Allocation-Based Simultaneous Wireless Information and Power Transfer for Multiuser GFDM in IoT.
IEEE Internet Things J.
Zhenyu Na, Jiaqi Lv, Fan Jiang, Mudi Xiong, Nan Zhao
2019 A* conf
Partial Label Learning via Label Enhancement.
AAAI
Ning Xu, Jiaqi Lv, Xin Geng
2019 A* conf
Weakly Supervised Multi-Label Learning via Label Enhancement.
IJCAI
Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng
2017 — conf
Machine Learning and Its Applications in Wireless Communications.
CSPS
Jiaqi Lv, Zhenyu Na, Xin Liu, Zhian Deng
2017 — conf
Outlier Filtering Algorithm for Indoor Pedestrian Walking Direction Estimation.
CSPS
Jiaqi Lv, Zhenyu Na, Xin Liu, Tingting Yao, Zhian Deng
2017 A* conf
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation.
AAAI
Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv
2016 — conf
Deep Age Distribution Learning for Apparent Age Estimation.
CVPR Workshops
Zeng-Wei Huo, Xu Yang, Chao Xing, Ying Zhou, Peng Hou, Jiaqi Lv, Xin Geng