Haitao Yuan

70 papers A* 13A 5Journal 38Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Collaborative Cloud-Edge Approach for Robust Edge Workload Forecasting.
IEEE Trans. Mob. Comput.
Yanan Li, Penghong Zhao, Xiao Ma, Haitao Yuan, Zhe Fu, Mengwei Xu, Shangguang Wang
2025 A* conf
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting.
IJCAI
Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li
2025 J jnl
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting.
CoRR
Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li
2025 J jnl
CrossSim: Toward Cross-System Trajectory Similarity Computation via Representation Learning.
IEEE Internet Things J.
Zijian Cao, Dong Zhao, Xiyuan Dong, Qiyue Wang, Haitao Yuan, Yujia Gao, Huadong Ma
2025 J jnl
CrossTrace: Privacy-Aware Cross-System Trajectory Recovery via Hybrid Split and Federated Learning.
IEEE Trans. Mob. Comput.
Zijian Cao, Dong Zhao, Qiyue Wang, Haitao Yuan, Huadong Ma, Shui Yu
2025 — conf
Demonstrating MAST: An Efficient System for Point Cloud Data Analytics.
SIGMOD Conference Companion
Jiangneng Li, Haitao Yuan, Jie Wang, Ziting Wang, Han Mao Kiah, Gao Cong
2025 — conf
Effective AOI-level Parcel Volume Prediction: When Lookahead Parcels Matter.
KDD (1)
Yinfeng Xiang, Jiangyi Fang, Chao Li, Haitao Yuan, Yiwei Song, Jiming Chen
2025 J jnl
FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data.
CoRR
Ziting Wang, Shize Zhang, Haitao Yuan, Jinwei Zhu, Shifu Li, Wei Dong, Gao Cong
2025 J jnl
GeoKGM: A Multimodal Large Language Model for Zero-Shot Knowledge Graph Completion in Geospatial Databases.
Proc. ACM Manag. Data
Zhihan Zheng, Haitao Yuan, Minxiao Chen, Nan Jiang, Haoning Wang, Shangguang Wang
2025 A* conf
Having It Both Ways: Single Trajectory Embedding for Similarity Computation with Pairwise Learning.
ICDE
Jianing Si, Haitao Yuan, Xiang Li, Nan Jiang, Xiao Ma, Guoliang Li, Shangguang Wang
2025 — conf
Incomplete Multi-View Drug Recommendation via Multi-Level Representation Learning and Curriculum Learning.
KDD (2)
Ning Liu, Yunsen Tang, Haitao Yuan, Hongtao Lv, Lili Jiang, Zhen Li, Wei Zhang, Jianyong Wang
2025 J jnl
MAAdvisor: Zero-Shot Index Advisor using Multi-Agent LLMs.
CoRR
Zhaodonghui Li, Haitao Yuan, Jiachen Shi, Hao Zhang, Yu Rong, Gao Cong
2025 J jnl
MAST: Towards Efficient Analytical Query Processing on Point Cloud Data.
Proc. ACM Manag. Data
Jiangneng Li, Haitao Yuan, Gao Cong, Han Mao Kiah, Shuhao Zhang
2025 A conf
MGSTDN: Multi-Granularity Spatial-Temporal Diffusion Network for Next POI Recommendation.
CIKM
Zhuang Zhuang, Haitao Yuan, Shanshan Feng, Heng Qi, Yanming Shen, Baocai Yin
2025 — conf
Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective.
KDD (1)
Xianquan Wang, Likang Wu, Zhi Li, Haitao Yuan, Shuanghong Shen, Huibo Xu, Yu Su, Chenyi Lei
2025 J jnl
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning.
CoRR
Zhihan Zheng, Haitao Yuan, Minxiao Chen, Shangguang Wang
2025 J jnl
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning.
Proc. ACM Manag. Data
Zhihan Zheng, Haitao Yuan, Minxiao Chen, Shangguang Wang
2025 J jnl
RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning.
CoRR
Minxiao Chen, Haitao Yuan, Nan Jiang, Zhihan Zheng, Sai Wu, Ao Zhou, Shangguang Wang
2025 J jnl
RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning.
Proc. ACM Manag. Data
Minxiao Chen, Haitao Yuan, Nan Jiang, Zhihan Zheng, Sai Wu, Ao Zhou, Shangguang Wang
2025 J jnl
S-MGHSTN: Towards An Effective Streaming Traffic Accident Risk Prediction Framework.
IEEE Trans. Knowl. Data Eng.
Minxiao Chen, Haitao Yuan, Nan Jiang, Zhihan Zheng, Zhifeng Bao, Ao Zhou, Jiaxin Jiang, Shangguang Wang
2025 A* conf
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.
AAAI
Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong
2025 J jnl
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.
CoRR
Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong
2025 J jnl
TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Tianhao Peng, Haitao Yuan, Yongqi Zhang, Yuchen Li, Peihong Dai, Qunbo Wang, Senzhang Wang, Wenjun Wu
2025 A* conf
Think Twice Before Imputation: Optimizing Data Imputation Order for Machine Learning.
ICDE
Jiaxuan Zhang, Haitao Yuan, Jianing Si, Nan Jiang, Shangguang Wang
2025 A* conf
Towards Robust Trajectory Embedding for Similarity Computation: When Triangle Inequality Violations in Distance Metrics Matter.
ICDE
Jianing Si, Haitao Yuan, Nan Jiang, Minxiao Chen, Xiao Ma, Shangguang Wang
2025 J jnl
Towards Robust Trajectory Embedding for Similarity Computation: When Triangle Inequality Violations in Distance Metrics Matter.
CoRR
Jianing Si, Haitao Yuan, Nan Jiang, Minxiao Chen, Xiao Ma, Shangguang Wang
2024 J jnl
CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation.
CoRR
Ziting Wang, Haitao Yuan, Wei Dong, Gao Cong, Feifei Li
2024 J jnl
ELAKT: Enhancing Locality for Attentive Knowledge Tracing.
ACM Trans. Inf. Syst.
Yanjun Pu, Fang Liu, Rongye Shi, Haitao Yuan, Ruibo Chen, Tianhao Peng, Wenjun Wu
2024 J jnl
F$^{3}$3VeTrac: Enabling Fine-Grained, Fully-Road-Covered, and Fully-Individual- Penetrative Vehicle Trajectory Recovery.
IEEE Trans. Mob. Comput.
Zijian Cao, Dong Zhao, Hanxing Song, Haitao Yuan, Qiyue Wang, Huadong Ma, Jianjun Tong, Chang Tan
2024 A* conf
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy.
ICDE
Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu
2024 — conf
IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction.
BIBM
Ruomei Liu, Shangzhe Li, He Zhu, Yue Hou, Xingyu Peng, Haitao Yuan, Junran Wu, Ke Xu
2024 A conf
LAMRec: Label-aware Multi-view Drug Recommendation.
CIKM
Yunsen Tang, Ning Liu, Haitao Yuan, Yonghe Yan, Lei Liu, Weixing Tan, Lizhen Cui
2024 J jnl
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
CoRR
Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing
2024 J jnl
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
Proc. VLDB Endow.
Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing
2024 J jnl
Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network.
Proc. VLDB Endow.
Haitao Yuan, Gao Cong, Guoliang Li
2024 J jnl
OD-Prophet: Toward Efficiently Predicting Individual Origin-Destination Travel Demand in Location-Based Services.
IEEE Internet Things J.
Dan Luo, Zijian Cao, Dong Zhao, Zicheng Lin, Chenxing Wang, Haitao Yuan, Liang Liu, Huadong Ma
2024 J jnl
STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting.
CoRR
Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li
2024 — conf
STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting.
DASFAA (1)
Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li
2024 A* conf
Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data.
ICDE
Nan Jiang, Haitao Yuan, Jianing Si, Minxiao Chen, Shangguang Wang
2024 J jnl
Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data.
CoRR
Nan Jiang, Haitao Yuan, Jianing Si, Minxiao Chen, Shangguang Wang
2024 A conf
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity.
CIKM
Minxiao Chen, Haitao Yuan, Nan Jiang, Zhifeng Bao, Shangguang Wang
2024 J jnl
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity.
CoRR
Minxiao Chen, Haitao Yuan, Nan Jiang, Zhifeng Bao, Shangguang Wang
2023 J jnl
$\mathtt {AutoView}$: An Autonomous Materialized View Management System With Encoder-Reducer.
IEEE Trans. Knowl. Data Eng.
Yue Han, Guoliang Li, Haitao Yuan, Ji Sun
2023 — conf
An Effective Deep Learning Model for Route Travel Time Estimation on A Road Network.
ACM TUR-C
Haitao Yuan
2023 J jnl
Automatic Road Extraction with Multi-Source Data Revisited: Completeness, Smoothness and Discrimination.
Proc. VLDB Endow.
Haitao Yuan, Sai Wang, Zhifeng Bao, Shangguang Wang
2023 J jnl
Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet.
Proc. ACM Manag. Data
Yanan Li, Guangqing Deng, Changming Bai, Jingyu Yang, Gang Wang, Hao Zhang, Jin Bai, Haitao Yuan, Mengwei Xu, Shangguang Wang
2023 A* conf
ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning.
WWW
Yanan Li, Haitao Yuan, Zhe Fu, Xiao Ma, Mengwei Xu, Shangguang Wang
2023 J jnl
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy.
CoRR
Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu
2023 — conf
Towards Practical Few-shot Federated NLP.
EuroMLSys@EuroSys
Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu
2022 J jnl
A Deep Generative Model for Trajectory Modeling and Utilization.
Proc. VLDB Endow.
Yong Wang, Guoliang Li, Kaiyu Li, Haitao Yuan
2022 J jnl
AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts.
CoRR
Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu
2022 — conf
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction.
CICAI (2)
Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui
2022 A conf
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps.
CIKM
Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang
2022 J jnl
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps.
CoRR
Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang
2022 A* conf
Effective Few-Shot Named Entity Linking by Meta-Learning.
ICDE
Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang
2022 J jnl
Effective Few-Shot Named Entity Linking by Meta-Learning.
CoRR
Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang
2022 A conf
Is it fair? Resource allocation for differentiated services on demands.
ICWS
Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui
2022 J jnl
Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity.
Proc. VLDB Endow.
Haitao Yuan, Guoliang Li, Zhifeng Bao
2021 J jnl
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation.
Data Sci. Eng.
Haitao Yuan, Guoliang Li
2021 A* conf
An Autonomous Materialized View Management System with Deep Reinforcement Learning.
ICDE
Yue Han, Guoliang Li, Haitao Yuan, Ji Sun
2021 A* conf
An Effective Joint Prediction Model for Travel Demands and Traffic Flows.
ICDE
Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng
2020 A* conf
Automatic View Generation with Deep Learning and Reinforcement Learning.
ICDE
Haitao Yuan, Guoliang Li, Ling Feng, Ji Sun, Yue Han
2020 — conf
Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference.
DASFAA (1)
Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang
2020 — conf
Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter.
SIGMOD Conference
Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng
2019 A* conf
Distributed In-memory Trajectory Similarity Search and Join on Road Network.
ICDE
Haitao Yuan, Guoliang Li
2019 — conf
MathGraph: A Knowledge Graph for Automatically Solving Mathematical Exercises.
DASFAA (1)
Tianyu Zhao, Yan Huang, Songfan Yang, Yuyu Luo, Jianhua Feng, Yong Wang, Haitao Yuan, Kang Pan, Kaiyu Li, Haoda Li, Fu Zhu
2019 — conf
Ratel: Interactive Analytics for Large Scale Trajectories.
SIGMOD Conference
Haoda Li, Guoliang Li, Jiayang Liu, Haitao Yuan, Haiquan Wang
2019 J jnl
Towards Automatic Mathematical Exercise Solving.
Data Sci. Eng.
Tianyu Zhao, Chengliang Chai, Yuyu Luo, Jianhua Feng, Yan Huang, Songfan Yang, Haitao Yuan, Haoda Li, Kaiyu Li, Fu Zhu, Kang Pan
2018 J jnl
CDB: A Crowd-Powered Database System.
Proc. VLDB Endow.
Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan
2017 — conf
CDB: Optimizing Queries with Crowd-Based Selections and Joins.
SIGMOD Conference
Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan