![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Lujia Pan
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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) - [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
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-29 20:57 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint