Lujia Pan

According to our database, Lujia Pan authored at least 39 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Label-Aware Distribution Calibration for Long-Tailed Classification.

Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems.

Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

CoRR, 2024

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning.

Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, 2024

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders.

Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, 2024

Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling.

Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu

CoRR, 2024

SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning.

Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DWLR: Domain Adaptation under Label Shift for Wearable Sensor.

Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Disentangling Domain and General Representations for Time Series Classification.

Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning.

Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan

Proc. VLDB Endow., November, 2023

Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning.

Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan

CoRR, 2023

MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.

Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu

CoRR, 2023

Ti-MAE: Self-Supervised Masked Time Series Autoencoders.

Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu

CoRR, 2023

κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning.

Menglin Yang, Min Zhou, Lujia Pan, Irwin King

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting.

Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.

Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation.

Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Inducing Neural Collapse in Deep Long-tailed Learning.

Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Generative Oversampling for Imbalanced Data via Majority-Guided VAE.

Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

LDAAD: An effective label de-noising approach for anomaly detection.

Lujia Pan, Marcus Kalander, Pinghui Wang

J. Intell. Fuzzy Syst., 2022

Hyperbolic Curvature Graph Neural Network.

Menglin Yang, Min Zhou, Lujia Pan, Irwin King

CoRR, 2022

Hyperbolic Graph Representation Learning: A Tutorial.

Min Zhou, Menglin Yang, Lujia Pan, Irwin King

CoRR, 2022

TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction.

Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan

CoRR, 2022

Hyperbolic Graph Neural Networks: A Review of Methods and Applications.

Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

CoRR, 2022

Discovering Representative Attribute-stars via Minimum Description Length.

Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering.

Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contrastive Representation based Active Learning for Time Series.

Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

gCastle: A Python Toolbox for Causal Discovery.

Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan

CoRR, 2021

An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels.

Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan

CoRR, 2021

Mask-GVAE: Blind Denoising Graphs via Partition.

Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning from Noisy Labels with Complementary Loss Functions.

Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks.

Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan

CoRR, 2020

Proactive microwave link anomaly detection in cellular data networks.

Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang

Comput. Networks, 2020

2019

Predicting Path Failure In Time-Evolving Graphs.

Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

CellPAD: Detecting Performance Anomalies in Cellular Networks via Regression Analysis.

Jun Wu, Patrick P. C. Lee, Qi Li, Lujia Pan, Jianfeng Zhang

Proceedings of the 2018 IFIP Networking Conference and Workshops, 2018

2017

An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis.

Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

SAND: A fault-tolerant streaming architecture for network traffic analytics.

Qin Liu, John C. S. Lui, Cheng He, Lujia Pan, Wei Fan, Yunlong Shi

J. Syst. Softw., 2016

2015

An In-depth Analysis of 3G Traffic and Performance.

Zhenxian Hu, Yi-Chao Chen, Lili Qiu, Guangtao Xue, Hongzi Zhu, Nicholas Zhang, Cheng He, Lujia Pan, Caifeng He

Proceedings of the 5th Workshop on All Things Cellular: Operations, 2015

2013

NIM: Scalable Distributed Stream Process System on Mobile Network Data.

Lujia Pan, Jianfeng Qian, Caifeng He, Wei Fan, Cheng He, Fan Yang

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective.

Xiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui

Proceedings of the NETWORKING 2012, 2012