A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective. - Xiuqiang He 001; Patrick P. C. Lee; Lujia Pan; Cheng He; John C. S. Lui (Networking (1), 2012)

NIM: Scalable Distributed Stream Process System on Mobile Network Data. - Lujia Pan; Jianfeng Qian; Caifeng He; Wei Fan; Cheng He; Fan Yang (ICDM Workshops, 2013)

An In-depth Analysis of 3G Traffic and Performance. - Zhenxian Hu; Yi-Chao Chen 001; Lili Qiu; Guangtao Xue; Hongzi Zhu; Nicholas Zhang; Cheng He; Lujia Pan; Caifeng He (AllThingsCellular@SIGCOMM, 2015)

SAND: A fault-tolerant streaming architecture for network traffic analytics. - Qin Liu 009; John C. S. Lui; Cheng He; Lujia Pan; Wei Fan 001; Yunlong Shi (J. Syst. Softw., 2016)

An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. - Lujia Pan; Jianfeng Zhang; Patrick P. C. Lee; Hong Cheng 001; Cheng He; Caifeng He; Keli Zhang (KDD, 2017)

CellPAD: Detecting Performance Anomalies in Cellular Networks via Regression Analysis. - Jun Wu 001; Patrick P. C. Lee; Qi Li 002; Lujia Pan; Jianfeng Zhang (Networking, 2018)

Predicting Path Failure In Time-Evolving Graphs. - Jia Li 009; Zhichao Han 003; Hong Cheng 001; Jiao Su; Pengyun Wang; Jianfeng Zhang; Lujia Pan (KDD, 2019)

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)

Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. - Marcus Kalander; Min Zhou 006; Chengzhi Zhang; Hanling Yi; Lujia Pan (CoRR, 2020)

Learning from Noisy Labels with Complementary Loss Functions. - Deng-Bao Wang; Yong Wen; Lujia Pan; Min-Ling Zhang (AAAI, 2021)

Mask-GVAE: Blind Denoising Graphs via Partition. - Jia Li 009; Mengzhou Liu; Honglei Zhang; Pengyun Wang; Yong Wen; Lujia Pan; Hong Cheng 001 (WWW, 2021)

An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. - Yong Wen; Marcus Kalander; Chanfei Su; Lujia Pan (CoRR, 2021)

gCastle: A Python Toolbox for Causal Discovery. - Keli Zhang; Shengyu Zhu 001; Marcus Kalander; Ignavier Ng; Junjian Ye; Zhitang Chen; Lujia Pan (CoRR, 2021)

Contrastive Representation based Active Learning for Time Series. - Lujia Pan; Marcus Kalander; Yuchao Zhang; Pinghui Wang (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering. - Yazheng Li; Pengyun Wang; Yasheng Wang; Yong Dai 001; Yadao Wang; Lujia Pan; Zenglin Xu (EMNLP (Findings), 2022)

Discovering Representative Attribute-stars via Minimum Description Length. - Jiahong Liu 001; Min Zhou 006; Philippe Fournier-Viger; Menglin Yang 001; Lujia Pan; Mourad Nouioua (ICDE, 2022)

Hyperbolic Graph Neural Networks: A Review of Methods and Applications. - Menglin Yang 001; Min Zhou 006; Zhihao Li 004; Jiahong Liu 001; Lujia Pan; Hui Xiong 001; Irwin King (CoRR, 2022)

TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. - Min Zhou 006; Bisheng Li; Menglin Yang 001; Lujia Pan (CoRR, 2022)

Hyperbolic Graph Representation Learning: A Tutorial. - Min Zhou 006; Menglin Yang 001; Lujia Pan; Irwin King (CoRR, 2022)

Hyperbolic Curvature Graph Neural Network. - Menglin Yang 001; Min Zhou 006; Lujia Pan; Irwin King (CoRR, 2022)

LDAAD: An effective label de-noising approach for anomaly detection. - Lujia Pan; Marcus Kalander; Pinghui Wang (J. Intell. Fuzzy Syst., 2022)

Generative Oversampling for Imbalanced Data via Majority-Guided VAE. - Qingzhong Ai; Pengyun Wang; Lirong He; Liangjian Wen; Lujia Pan; Zenglin Xu (AISTATS, 2023)

Inducing Neural Collapse in Deep Long-tailed Learning. - Xuantong Liu; Jianfeng Zhang; Tianyang Hu; He Cao; Yuan Yao 011; Lujia Pan (AISTATS, 2023)

MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. - Junfeng Liu; Min Zhou 006; Shuai Ma 001; Lujia Pan (CIKM, 2023)

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. - Tianmeng Yang; Min Zhou 006; Yujing Wang; Zhengjie Lin; Lujia Pan; Bin Cui 001; Yunhai Tong (CIKM, 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 (IJCAI, 2023)

κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. - Menglin Yang 001; Min Zhou 006; Lujia Pan; Irwin King (KDD, 2023)

Ti-MAE: Self-Supervised Masked Time Series Autoencoders. - Zhe Li; Zhongwen Rao; Lujia Pan; Pengyun Wang; Zenglin Xu (CoRR, 2023)

MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. - Zhe Li; Zhongwen Rao; Lujia Pan; Zenglin Xu (CoRR, 2023)

Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning. - Zhiyu Liang; Jianfeng Zhang; Chen Liang 002; Hongzhi Wang 001; Zheng Liang 002; Lujia Pan (CoRR, 2023)

A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning. - Zhiyu Liang; Jianfeng Zhang; Chen Liang 002; Hongzhi Wang 001; Zheng Liang 002; Lujia Pan (Proc. VLDB Endow., 2023)

Cluster-Aware Causal Discovery Framework for Root Cause Analysis of Base Station Alarms. - Ke Zhang; Xu Zhu; Jiale Zheng; Jie Cao; Keli Zhang; Lujia Pan (GLOBECOM (Workshops), 2024)

Disentangling Domain and General Representations for Time Series Classification. - Youmin Chen; Xinyu Yan; Yang Yang 009; Jianfeng Zhang; Jing Zhang 001; Lujia Pan; Juren Li (IJCAI, 2024)

DWLR: Domain Adaptation under Label Shift for Wearable Sensor. - Juren Li; Yang Yang 009; Youmin Chen; Jianfeng Zhang; Zeyu Lai; Lujia Pan (IJCAI, 2024)

SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. - Kaidi Li; Tianmeng Yang; Min Zhou 006; Jiahao Meng; Shendi Wang; Yihui Wu; Boshuai Tan; Hu Song; Lujia Pan; Fan Yu; Zhenli Sheng; Yunhai Tong (KDD, 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)

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. - Jindong Tian; Yuxuan Liang; Ronghui Xu 001; Peng Chen 038; Chenjuan Guo; Aoying Zhou; Lujia Pan; Zhongwen Rao; Bin Yang 002 (CoRR, 2024)

Label-Aware Distribution Calibration for Long-Tailed Classification. - Chaozheng Wang; Shuzheng Gao; Pengyun Wang; Cuiyun Gao 001; Wenjie Pei; Lujia Pan; Zenglin Xu (IEEE Trans. Neural Networks Learn. Syst., 2024)

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. - Yuxuan Chen; Shanshan Huang; Yunyao Cheng 001; Peng Chen 038; Zhongwen Rao; Yang Shu 001; Bin Yang 002; Lujia Pan; Chenjuan Guo (ICDE, 2025)

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. - Qichao Shentu; Beibu Li; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (ICLR, 2025)

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. - Jindong Tian; Yuxuan Liang; Ronghui Xu 001; Peng Chen 038; Chenjuan Guo; Aoying Zhou; Lujia Pan; Zhongwen Rao; Bin Yang 002 (ICLR, 2025)

StateHPs: State Hawkes processes for Granger causal discovery from non-stationary event sequences. - Yuequn Liu; Guangdong Sun; Ruichu Cai; Zijian Li 001; Keli Zhang; Lujia Pan; Zhifeng Hao (Inf. Sci., 2025)

Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification. - Vasilii Feofanov; Songkang Wen; Marius Alonso; Romain Ilbert; Hongbo Guo; Malik Tiomoko; Lujia Pan; Jianfeng Zhang; Ievgen Redko (CoRR, 2025)

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data. - Chengsen Wang; Qi Qi 001; Zhongwen Rao; Lujia Pan; Jingyu Wang 001; Jianxin Liao (CoRR, 2025)

LightGTS: A Lightweight General Time Series Forecasting Model. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge. - Lei Zan; Keli Zhang; Ruichu Cai; Lujia Pan (CoRR, 2025)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. - Peng Chen 038; Yihang Wang 004; Yang Shu 001; Yunyao Cheng 001; Kai Zhao 009; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)