Fu, Yanjie

21 publications

AAAI 2025 Evolutionary Large Language Model for Automated Feature Transformation Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu

IJCAI 2025 LEKA: LLM-Enhanced Knowledge Augmentation Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu

NeurIPS 2025 Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation Nanxu Gong, Zijun Li, Sixun Dong, Haoyue Bai, Wangyang Ying, Xinyuan Wang, Yanjie Fu

IJCAI 2025 Unsupervised Feature Transformation via In-Context Generation, Generator-Critic LLM Agents, and Duet-Play Teaming Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu

IJCAI 2024 Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang

IJCAI 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu

IJCAI 2023 Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

AAAI 2023 Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu

AAAI 2023 Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu

AAAI 2023 Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu

NeurIPS 2023 Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-Steered Search in Continuous Space for Postfix Expressions Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

ICLR 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu

IJCAI 2022 Feature and Instance Joint Selection: A Reinforcement Learning Perspective Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu

AAAI 2021 Coupled Layer-Wise Graph Convolution for Transportation Demand Prediction Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong

AAAI 2021 Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu

IJCAI 2020 Exploiting Mutual Information for Substructure-Aware Graph Representation Learning Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua

AAAI 2019 Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li

AAAI 2019 Joint Representation Learning for Multi-Modal Transportation Recommendation Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong

AAAI 2018 CSWA: Aggregation-Free Spatial-Temporal Community Sensing Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das

IJCAI 2018 De-Biasing Covariance-Regularized Discriminant Analysis Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo

IJCAI 2018 Representing Urban Functions Through Zone Embedding with Human Mobility Patterns Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong