Weijia Zhang - RankMe

35 papers A* 11Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting. KDD (1) Tengfei Lyu, Weijia Zhang, Hao Liu
2026	—	`conf`	UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting. KDD (1) Hang Ni, Weijia Zhang, Hao Liu
2025	—	`conf`	AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. KDD (1) Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu
2025	J	`jnl`	Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition. CoRR Fan Liu, Jindong Han, Tengfei Lyu, Weijia Zhang, Zhe-Rui Yang, Lu Dai, Cancheng Liu, Hao Liu
2025	—	`conf`	LLMLight: Large Language Models as Traffic Signal Control Agents. KDD (1) Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, Hui Xiong
2025	—	`conf`	Labor Migration Modeling Through Large-Scale Job Query Data. PAKDD (1) Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu
2025	J	`jnl`	PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems. CoRR Hao Wang, Jindong Han, Wei Fan, Weijia Zhang, Hao Liu
2025	—	`conf`	Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series. KDD (2) Weijia Zhang, Chenlong Yin, Hao Liu, Hui Xiong
2024	J	`jnl`	AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. CoRR Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu
2024	J	`jnl`	BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. Proc. VLDB Endow. Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
2024	A*	`conf`	Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach. ICML Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong
2024	A*	`conf`	Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. KDD Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
2024	J	`jnl`	Labor Migration Modeling through Large-scale Job Query Data. CoRR Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu
2024	J	`jnl`	Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal. CoRR Weijia Zhang, Jindong Han, Hao Liu, Wei Fan, Hao Wang, Hui Xiong
2024	J	`jnl`	Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models. CoRR Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
2024	J	`jnl`	Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series. CoRR Weijia Zhang, Chenlong Yin, Hao Liu, Hui Xiong
2024	A*	`conf`	Urban Foundation Models: A Survey. KDD Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
2023	A*	`conf`	A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. KDD Siqi Lai, Weijia Zhang, Hao Liu
2023	J	`jnl`	A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. CoRR Siqi Lai, Weijia Zhang, Hao Liu
2023	A*	`conf`	Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections. KDD Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong
2023	J	`jnl`	Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network. CoRR Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Jingbo Zhou, Yu Mei, Hui Xiong
2023	J	`jnl`	Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity. CoRR Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, Hui Xiong
2023	J	`jnl`	Machine Learning for Urban Air Quality Analytics: A Survey. CoRR Jindong Han, Weijia Zhang, Hao Liu, Hui Xiong
2023	J	`jnl`	RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation. IEEE Trans. Knowl. Data Eng. Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu
2023	A*	`conf`	Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. KDD Fan Liu, Weijia Zhang, Hao Liu
2023	J	`jnl`	Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. CoRR Fan Liu, Weijia Zhang, Hao Liu
2022	A*	`conf`	Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. KDD Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong
2022	A*	`conf`	Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. ICDM Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong
2022	J	`jnl`	Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network. IEEE Trans. Knowl. Data Eng. Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong
2021	A*	`conf`	Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. WWW Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
2021	J	`jnl`	Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. CoRR Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
2021	A*	`conf`	MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. KDD Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021	J	`jnl`	MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. CoRR Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2020	A*	`conf`	Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. AAAI Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
2019	J	`jnl`	Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. CoRR Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong