Pan, Lujia

10 publications

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

ICML 2025 LightGTS: A Lightweight General Time Series Forecasting Model Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

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

ICML 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

IJCAI 2024 DWLR: Domain Adaptation Under Label Shift for Wearable Sensor Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan

IJCAI 2024 Disentangling Domain and General Representations for Time Series Classification Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li

AISTATS 2023 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, Lujia Pan

IJCAI 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

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