Jindong Han - RankMe

47 papers A* 11B 1Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map. WWW Fuling Wang, Le Zhang, Jingbo Zhou, Jindong Han, Ying Sun, Chuan Qin, Hengshu Zhu, Hui Xiong
2026	A*	`conf`	An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation. WWW Yuping Zhou, Siqi Lai, Jindong Han, Hao Liu
2026	J	`jnl`	Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval. CoRR Fanpu Cao, Lu Dai, Jindong Han, Hui Xiong
2026	J	`jnl`	MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion. Inf. Fusion Wei Fan, Jingru Fei, Jindong Han, Jie Lian, Hangting Ye, Xiaozhuang Song, Xin Lv, Kun Yi, Min Li
2026	—	`conf`	MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation. KDD (1) Wenzhao Jiang, Jindong Han, Ruiqian Han, Hao Liu
2026	J	`jnl`	MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation. CoRR Wenzhao Jiang, Jindong Han, Ruiqian Han, Hao Liu
2025	J	`jnl`	An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation. CoRR Yuping Zhou, Siqi Lai, Jindong Han, Hao Liu
2025	A*	`conf`	Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization. WWW Jindong Han, Hao Liu, Jun Fang, Naiqiang Tan, Hui Xiong
2025	J	`jnl`	DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation. CoRR Hao Wang, Zixuan Weng, Jindong Han, Wei Fan, Hao Liu
2025	A*	`conf`	Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. AAAI Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, 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`	GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. KDD (1) Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2025	J	`jnl`	Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications. CoRR Jindong Han, Yansong Ning, Zirui Yuan, Hang Ni, Fan Liu, Tengfei Lyu, Hao Liu
2025	—	`conf`	NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer. KDD (2) Tengfei Lyu, Jindong Han, 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	A*	`conf`	RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming. IJCAI Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu
2025	—	`conf`	SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting. KDD (2) Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu
2025	J	`jnl`	Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data. Proc. VLDB Endow. Jindong Han, Hao Wang, Hui Xiong, Hao Liu
2025	J	`jnl`	Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning. CoRR Hang Ni, Jindong Han, Nengjun Zhu, Hao Liu
2024	J	`jnl`	A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting. CoRR Tengfei Lyu, Jindong Han, 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	J	`jnl`	Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming. CoRR Hao Wang, Jindong Han, Wei Fan, Hao Liu
2024	J	`jnl`	Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. CoRR Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2024	J	`jnl`	GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. CoRR Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2024	A*	`conf`	Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. KDD Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
2024	J	`jnl`	Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. CoRR Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, 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`	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`	Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting. CoRR Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu
2024	J	`jnl`	Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction. CoRR Ziyang Wu, Fan Liu, Jindong Han, Yuxuan Liang, Hao Liu
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	A*	`conf`	Urban Foundation Models: A Survey. KDD Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
2023	J	`jnl`	Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning. CoRR Kehua Chen, Jindong Han, Siyuan Feng, Hai Yang
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`	Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction. IEEE Trans. Knowl. Data Eng. Jindong Han, Hao Liu, Hengshu Zhu, 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`	Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network. IEEE Trans. Knowl. Data Eng. Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang
2023	J	`jnl`	Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training. VLDB J. Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, Hui Xiong
2023	A*	`conf`	iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. KDD Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong
2022	J	`jnl`	Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation. IEEE Trans. Knowl. Data Eng. Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong
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
2021	A*	`conf`	Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. AAAI Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
2020	J	`jnl`	Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification. IEEE Signal Process. Lett. Ke Bu, Yuan He, Xiaojun Jing, Jindong Han
2020	J	`jnl`	Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. CoRR Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
2020	J	`jnl`	Multi-Modal Transportation Recommendation with Unified Route Representation Learning. Proc. VLDB Endow. Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong
2019	B	`conf`	GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors. GLOBECOM Jindong Han, Yuan He, Juan Liu, Qianqian Zhang, Xiaojun Jing
2018	J	`jnl`	HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition. CoRR Mingtao Dong, Jindong Han