Lujia Pan - RankMe

71 papers A* 17A 5B 3Journal 40Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge. AAAI Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan
2026	J	`jnl`	CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter. CoRR Hanyin Cheng, Xingjian Wu, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2026	J	`jnl`	MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies. CoRR Vasilii Feofanov, Songkang Wen, Jianfeng Zhang, Lujia Pan, Ievgen Redko
2026	J	`jnl`	Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference. CoRR Juntao Fang, Shifeng Xie, Shengbin Nie, Yuhui Ling, Yuming Liu, Zijian Li, Keli Zhang, Lujia Pan, Themis Palpanas, Ruichu Cai
2025	A*	`conf`	AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. ICDE Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025	J	`jnl`	AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. CoRR Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025	A*	`conf`	Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. ICLR Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang
2025	J	`jnl`	C CoRR Kairong Han, Nuanqiao Shan, Ziyu Zhao, Zijing Hu, Xinpeng Dong, Junjian Ye, Lujia Pan, Fei Wu, Kun Kuang
2025	J	`jnl`	CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge. CoRR Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan
2025	A*	`conf`	CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models. EMNLP Kairong Han, Wenshuo Zhao, Ziyu Zhao, Ye Jun Jian, Lujia Pan, Kun Kuang
2025	J	`jnl`	CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models. CoRR Kairong Han, Wenshuo Zhao, Ziyu Zhao, Junjian Ye, Lujia Pan, Kun Kuang
2025	J	`jnl`	CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. CoRR Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data. CoRR Chengsen Wang, Qi Qi, Zhongwen Rao, Lujia Pan, Jingyu Wang, Jianxin Liao
2025	—	`conf`	LiPM: Foundation Model for Lithium-Ion Battery Analysis. KDD (2) Juren Li, Yang Yang, Hanchen Su, Jiayu Liu, Youmin Chen, Jianfeng Zhang, Lujia Pan
2025	A*	`conf`	LightGTS: A Lightweight General Time Series Forecasting Model. ICML Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	LightGTS: A Lightweight General Time Series Forecasting Model. CoRR Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	B	`conf`	MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. IJCNN Zhe Li, Xuanxuan Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2025	J	`jnl`	Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification. CoRR Vasilii Feofanov, Songkang Wen, Marius Alonso, Romain Ilbert, Hongbo Guo, Malik Tiomoko, Lujia Pan, Jianfeng Zhang, Ievgen Redko
2025	J	`jnl`	StateHPs: State Hawkes processes for Granger causal discovery from non-stationary event sequences. Inf. Sci. Yuequn Liu, Guangdong Sun, Ruichu Cai, Zijian Li, Keli Zhang, Lujia Pan, Zhifeng Hao
2025	A*	`conf`	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. ICLR Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	A*	`conf`	Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer. ICML Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. CoRR Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang
2024	—	`conf`	Cluster-Aware Causal Discovery Framework for Root Cause Analysis of Base Station Alarms. GLOBECOM (Workshops) Ke Zhang, Xu Zhu, Jiale Zheng, Jie Cao, Keli Zhang, Lujia Pan
2024	A*	`conf`	DWLR: Domain Adaptation under Label Shift for Wearable Sensor. IJCAI Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan
2024	A*	`conf`	Disentangling Domain and General Representations for Time Series Classification. IJCAI Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li
2024	J	`jnl`	Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling. CoRR Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2024	J	`jnl`	Label-Aware Distribution Calibration for Long-Tailed Classification. IEEE Trans. Neural Networks Learn. Syst. Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu
2024	J	`jnl`	ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2024	A*	`conf`	SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. KDD Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
2024	J	`jnl`	SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. CoRR Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
2024	J	`jnl`	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2023	J	`jnl`	A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning. Proc. VLDB Endow. Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan
2023	J	`jnl`	Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning. CoRR Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan
2023	A	`conf`	Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2023	J	`jnl`	Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2023	A	`conf`	Inducing Neural Collapse in Deep Long-tailed Learning. AISTATS Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan
2023	J	`jnl`	Inducing Neural Collapse in Deep Long-tailed Learning. CoRR Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan Yao
2023	A	`conf`	MATA: Combining Learnable Node Matching with A Algorithm for Approximate Graph Edit Distance Computation. CIKM Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
2023	J	`jnl`	MATA: Combining Learnable Node Matching with A Algorithm for Approximate Graph Edit Distance Computation. CoRR Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
2023	J	`jnl`	MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. CoRR Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2023	A	`conf`	Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CIKM Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
2023	J	`jnl`	Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CoRR Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
2023	A*	`conf`	SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting. IJCAI Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2023	J	`jnl`	Ti-MAE: Self-Supervised Masked Time Series Autoencoders. CoRR Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu
2023	A*	`conf`	κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD Menglin Yang, Min Zhou, Lujia Pan, Irwin King
2022	—	`conf`	Contrastive Representation based Active Learning for Time Series. DASC/PiCom/CBDCom/CyberSciTech Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang
2022	A*	`conf`	Discovering Representative Attribute-stars via Minimum Description Length. ICDE Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
2022	J	`jnl`	Discovering Representative Attribute-stars via Minimum Description Length. CoRR Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
2022	J	`jnl`	Hyperbolic Curvature Graph Neural Network. CoRR Menglin Yang, Min Zhou, Lujia Pan, Irwin King
2022	J	`jnl`	Hyperbolic Graph Neural Networks: A Review of Methods and Applications. CoRR Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King
2022	J	`jnl`	Hyperbolic Graph Representation Learning: A Tutorial. CoRR Min Zhou, Menglin Yang, Lujia Pan, Irwin King
2022	J	`jnl`	LDAAD: An effective label de-noising approach for anomaly detection. J. Intell. Fuzzy Syst. Lujia Pan, Marcus Kalander, Pinghui Wang
2022	—	`conf`	Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering. EMNLP (Findings) Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu
2022	J	`jnl`	TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. CoRR Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan
2021	J	`jnl`	An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. CoRR Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan
2021	J	`jnl`	Label-Aware Distribution Calibration for Long-tailed Classification. CoRR Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu
2021	A*	`conf`	Learning from Noisy Labels with Complementary Loss Functions. AAAI Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang
2021	A*	`conf`	Mask-GVAE: Blind Denoising Graphs via Partition. WWW Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
2021	J	`jnl`	Mask-GVAE: Blind Denoising Graphs via Partition. CoRR Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
2021	J	`jnl`	gCastle: A Python Toolbox for Causal Discovery. CoRR Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan
2020	J	`jnl`	Proactive microwave link anomaly detection in cellular data networks. Comput. Networks Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang
2020	J	`jnl`	Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. CoRR Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan
2019	A*	`conf`	Predicting Path Failure In Time-Evolving Graphs. KDD Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
2019	J	`jnl`	Predicting Path Failure In Time-Evolving Graphs. CoRR Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
2018	B	`conf`	CellPAD: Detecting Performance Anomalies in Cellular Networks via Regression Analysis. Networking Jun Wu, Patrick P. C. Lee, Qi Li, Lujia Pan, Jianfeng Zhang
2017	A*	`conf`	An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. KDD Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang
2016	J	`jnl`	SAND: A fault-tolerant streaming architecture for network traffic analytics. J. Syst. Softw. Qin Liu, John C. S. Lui, Cheng He, Lujia Pan, Wei Fan, Yunlong Shi
2015	—	`conf`	An In-depth Analysis of 3G Traffic and Performance. AllThingsCellular@SIGCOMM Zhenxian Hu, Yi-Chao Chen, Lili Qiu, Guangtao Xue, Hongzi Zhu, Nicholas Zhang, Cheng He, Lujia Pan, Caifeng He
2014	A	`conf`	SAND: A Fault-Tolerant Streaming Architecture for Network Traffic Analytics. DSN Qin Liu, John C. S. Lui, Cheng He, Lujia Pan, Wei Fan, Yunlong Shi
2013	—	`conf`	NIM: Scalable Distributed Stream Process System on Mobile Network Data. ICDM Workshops Lujia Pan, Jianfeng Qian, Caifeng He, Wei Fan, Cheng He, Fan Yang
2012	B	`conf`	A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective. Networking (1) Xiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui