Lujia Pan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 42

Top Topics

Multivariate Time Series

Minimum Description Length

Anomaly Detection

Top Venues

Publications

Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR (2024)
Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling. CoRR (2024)
Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. KDD (2024)
Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu
Label-Aware Distribution Calibration for Long-Tailed Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. CoRR (2024)
Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR (2024)
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD (2023)
Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. CoRR (2023)
Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan Yao
Inducing Neural Collapse in Deep Long-tailed Learning. CoRR (2023)
Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu
Ti-MAE: Self-Supervised Masked Time Series Autoencoders. CoRR (2023)
Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning. Proc. VLDB Endow. 17 (3) (2023)
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR (2023)
Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CIKM (2023)
Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. CoRR (2023)
Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CoRR (2023)
Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan
Inducing Neural Collapse in Deep Long-tailed Learning. AISTATS (2023)
Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting. IJCAI (2023)
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS (2023)
Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan
Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning. CoRR (2023)
Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. CIKM (2023)
Min Zhou, Menglin Yang, Lujia Pan, Irwin King
Hyperbolic Graph Representation Learning: A Tutorial. CoRR (2022)
Lujia Pan, Marcus Kalander, Pinghui Wang
LDAAD: An effective label de-noising approach for anomaly detection. J. Intell. Fuzzy Syst. 42 (6) (2022)
Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. CoRR (2022)
Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering. EMNLP (Findings) (2022)
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
Hyperbolic Curvature Graph Neural Network. CoRR (2022)
Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
Discovering Representative Attribute-stars via Minimum Description Length. ICDE (2022)
Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang
Contrastive Representation based Active Learning for Time Series. DASC/PiCom/CBDCom/CyberSciTech (2022)
Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
Discovering Representative Attribute-stars via Minimum Description Length. CoRR (2022)
Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King
Hyperbolic Graph Neural Networks: A Review of Methods and Applications. CoRR (2022)
Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan
An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. CoRR (2021)
Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang
Learning from Noisy Labels with Complementary Loss Functions. AAAI (2021)
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
Mask-GVAE: Blind Denoising Graphs via Partition. CoRR (2021)
Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu
Label-Aware Distribution Calibration for Long-tailed Classification. CoRR (2021)
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
Mask-GVAE: Blind Denoising Graphs via Partition. WWW (2021)
Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan
gCastle: A Python Toolbox for Causal Discovery. CoRR (2021)
Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. CoRR (2020)
Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang
Proactive microwave link anomaly detection in cellular data networks. Comput. Networks 167 (2020)
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
Predicting Path Failure In Time-Evolving Graphs. KDD (2019)
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
Predicting Path Failure In Time-Evolving Graphs. CoRR (2019)
Jun Wu, Patrick P. C. Lee, Qi Li, Lujia Pan, Jianfeng Zhang
CellPAD: Detecting Performance Anomalies in Cellular Networks via Regression Analysis. Networking (2018)
Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang
An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. KDD (2017)
Qin Liu, John C. S. Lui, Cheng He, Lujia Pan, Wei Fan, Yunlong Shi
SAND: A fault-tolerant streaming architecture for network traffic analytics. J. Syst. Softw. 122 (2016)
Zhenxian Hu, Yi-Chao Chen, Lili Qiu, Guangtao Xue, Hongzi Zhu, Nicholas Zhang, Cheng He, Lujia Pan, Caifeng He
An In-depth Analysis of 3G Traffic and Performance. AllThingsCellular@SIGCOMM (2015)
Qin Liu, John C. S. Lui, Cheng He, Lujia Pan, Wei Fan, Yunlong Shi
SAND: A Fault-Tolerant Streaming Architecture for Network Traffic Analytics. DSN (2014)
Lujia Pan, Jianfeng Qian, Caifeng He, Wei Fan, Cheng He, Fan Yang
NIM: Scalable Distributed Stream Process System on Mobile Network Data. ICDM Workshops (2013)
Xiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui
A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective. Networking (1) (2012)