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2020 – today
- 2024
[j5]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): 6963-6975 (2024)- [c21]Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li:
Disentangling Domain and General Representations for Time Series Classification. IJCAI 2024: 3834-3842 - [c20]Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan:
DWLR: Domain Adaptation under Label Shift for Wearable Sensor. IJCAI 2024: 4425-4433 - [c19]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: 5329-5338 - [i22]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 abs/2403.00869 (2024) - [i21]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 abs/2405.15273 (2024) - [i20]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 abs/2405.17478 (2024) - [i19]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 abs/2406.11389 (2024) - 2023
- [j4]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): 386-399 (2023) - [c18]Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu:
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS 2023: 3315-3330 - [c17]Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan:
Inducing Neural Collapse in Deep Long-tailed Learning. AISTATS 2023: 11534-11544 - [c16]Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan:
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. CIKM 2023: 1503-1512 - [c15]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: 4380-4384 - [c14]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: 2169-2177 - [c13]Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD 2023: 2965-2977 - [i18]Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu:
Ti-MAE: Self-Supervised Masked Time Series Autoencoders. CoRR abs/2301.08871 (2023) - [i17]Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu:
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. CoRR abs/2302.04501 (2023) - [i16]Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu:
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR abs/2302.10910 (2023) - [i15]Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan Yao:
Inducing Neural Collapse in Deep Long-tailed Learning. CoRR abs/2302.12453 (2023) - [i14]Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan:
Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning. CoRR abs/2305.18888 (2023) - [i13]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 abs/2308.08823 (2023) - [i12]Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan:
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. CoRR abs/2311.02356 (2023) - 2022
- [j3]Lujia Pan, Marcus Kalander, Pinghui Wang:
LDAAD: An effective label de-noising approach for anomaly detection. J. Intell. Fuzzy Syst. 42(6): 5627-5637 (2022) - [c12]Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang:
Contrastive Representation based Active Learning for Time Series. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [c11]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: 1352-1364 - [c10]Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. ICDE 2022: 68-80 - [i11]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 abs/2202.13852 (2022) - [i10]Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan:
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. CoRR abs/2204.07703 (2022) - [i9]Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. CoRR abs/2204.12704 (2022) - [i8]Min Zhou, Menglin Yang, Lujia Pan, Irwin King:
Hyperbolic Graph Representation Learning: A Tutorial. CoRR abs/2211.04050 (2022) - [i7]Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
Hyperbolic Curvature Graph Neural Network. CoRR abs/2212.01793 (2022) - 2021
- [c9]Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang:
Learning from Noisy Labels with Complementary Loss Functions. AAAI 2021: 10111-10119 - [c8]Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. WWW 2021: 3688-3698 - [i6]Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. CoRR abs/2102.04228 (2021) - [i5]Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan:
An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. CoRR abs/2107.02347 (2021) - [i4]Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu:
Label-Aware Distribution Calibration for Long-tailed Classification. CoRR abs/2111.04901 (2021) - [i3]Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan:
gCastle: A Python Toolbox for Causal Discovery. CoRR abs/2111.15155 (2021) - 2020
- [j2]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) - [i2]Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan:
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. CoRR abs/2009.09849 (2020)
2010 – 2019
- 2019
- [c7]Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. KDD 2019: 1279-1289 - [i1]Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. CoRR abs/1905.03994 (2019) - 2018
- [c6]Jun Wu, Patrick P. C. Lee, Qi Li, Lujia Pan, Jianfeng Zhang:
CellPAD: Detecting Performance Anomalies in Cellular Networks via Regression Analysis. Networking 2018: 19-27 - 2017
- [c5]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: 1951-1959 - 2016
- [j1]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: 553-563 (2016) - 2015
- [c4]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: 1-6 - 2014
- [c3]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: 80-87 - 2013
- [c2]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: 1101-1104 - 2012
- [c1]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: 318-330
Coauthor Index
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