| 2026 | AAAI | CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge. | Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan |
| 2026 | ACL | C²DLM: Causal Concept-Guided Diffusion Large Language Models. | Kairong Han, Nuanqiao Shan, Ziyu Zhao, Zijing Hu, Xinpeng Dong, Ye Jun Jian, Lujia Pan, Fei Wu, Kun Kuang |
| 2025 | EMNLP | CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models. | Kairong Han, Wenshuo Zhao, Ziyu Zhao, Ye Jun Jian, Lujia Pan, Kun Kuang |
| 2025 | ICDE | AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. | Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | LightGTS: A Lightweight General Time Series Forecasting Model. | Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo |
| 2025 | IJCNN | MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. | Zhe Li, Xuanxuan Li, Zhongwen Rao, Lujia Pan, Zenglin Xu |
| 2025 | KDD | LiPM: Foundation Model for Lithium-Ion Battery Analysis. | Juren Li, Yang Yang, Hanchen Su, Jiayu Liu, Youmin Chen, Jianfeng Zhang, Lujia Pan |
| 2024 | GLOBECOM | 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 |
| 2024 | IJCAI | Disentangling Domain and General Representations for Time Series Classification. | Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li |
| 2024 | IJCAI | DWLR: Domain Adaptation under Label Shift for Wearable Sensor. | Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan |
| 2024 | KDD | SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. | Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong |
| 2023 | AISTATS | Generative Oversampling for Imbalanced Data via Majority-Guided VAE. | Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu |
| 2023 | AISTATS | Inducing Neural Collapse in Deep Long-tailed Learning. | Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan |
| 2023 | CIKM | MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. | Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan |
| 2023 | CIKM | Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. | Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong |
| 2023 | IJCAI | 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 |
| 2023 | KDD | κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. | Menglin Yang, Min Zhou, Lujia Pan, Irwin King |
| 2022 | DASC | Contrastive Representation based Active Learning for Time Series. | Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang |
| 2022 | EMNLP | Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering. | Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu |
| 2022 | ICDE | Discovering Representative Attribute-stars via Minimum Description Length. | Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua |
| 2021 | AAAI | Learning from Noisy Labels with Complementary Loss Functions. | Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang |
| 2021 | WWW | Mask-GVAE: Blind Denoising Graphs via Partition. | Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng |
| 2019 | KDD | Predicting Path Failure In Time-Evolving Graphs. | Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan |
| 2018 | Networking | CellPAD: Detecting Performance Anomalies in Cellular Networks via Regression Analysis. | Jun Wu, Patrick P. C. Lee, Qi Li, Lujia Pan, Jianfeng Zhang |
| 2017 | KDD | An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. | Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang |
| 2015 | SIGCOMM | An In-depth Analysis of 3G Traffic and Performance. | Zhenxian Hu, Yi-Chao Chen, Lili Qiu, Guangtao Xue, Hongzi Zhu, Nicholas Zhang, Cheng He, Lujia Pan, Caifeng He |
| 2014 | DSN | SAND: A Fault-Tolerant Streaming Architecture for Network Traffic Analytics. | Qin Liu, John C. S. Lui, Cheng He, Lujia Pan, Wei Fan, Yunlong Shi |
| 2013 | ICDM | NIM: Scalable Distributed Stream Process System on Mobile Network Data. | Lujia Pan, Jianfeng Qian, Caifeng He, Wei Fan, Cheng He, Fan Yang |
| 2012 | Networking | A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective. | Xiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui |