Hui Xiong
#72,892
Most Influential Person Now
Chinese computer scientist
Hui Xiong's AcademicInfluence.com Rankings
Hui Xiongcomputer-science Degrees
Computer Science
#2906
World Rank
#3043
Historical Rank
Data Mining
#102
World Rank
#102
Historical Rank
Machine Learning
#6236
World Rank
#6348
Historical Rank
Artificial Intelligence
#6705
World Rank
#6840
Historical Rank
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Computer Science
Hui Xiong's Degrees
- Bachelors Computer Science Fudan University
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Why Is Hui Xiong Influential?
(Suggest an Edit or Addition)According to Wikipedia, Hui Xiong is a data scientist. He is a distinguished professor at Rutgers University and a distinguished guest professor at the University of Science and Technology of China . Education Xiong received his B.E. degree in automation from the University of Science and Technology of China and his M.S. degree in computer science from the National University of Singapore. He received his Ph.D. in computer science with a minor in statistics from the University of Minnesota - Twin Cities in 2005 under Vipin Kumar.
Hui Xiong's Published Works
Published Works
- Automated Feature Selection: A Reinforcement Learning Perspective (2023) (13)
- Adaptive Model Scheduling for Resource-efficient Data Labeling (2022) (7)
- Reinforced Imitative Graph Learning for Mobile User Profiling (2022) (4)
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing (2022) (4)
- Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction (2022) (3)
- Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction (2022) (2)
- Graph-Grounded Goal Planning for Conversational Recommendation (2023) (2)
- Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning (2022) (2)
- Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training (2022) (2)
- Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation (2023) (2)
- RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation (2023) (2)
- Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification (2022) (1)
- Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective (2022) (1)
- Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation (2022) (1)
- Self-Optimizing Feature Transformation (2022) (1)
- Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity (2022) (1)
- Feature and Instance Joint Selection: A Reinforcement Learning Perspective (2022) (0)
- Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting (2023) (0)
- Kill Two Birds with One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction (2023) (0)
- Platform-Oriented Event Time Allocation(Extended Abstract) (2022) (0)
- HmcNet: A General Approach for Hierarchical Multi-Label Classification (2022) (0)
- Predicting a Person’s Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network (2022) (0)
- Semantic and Structural View Fusion Modeling for Social Recommendation (2022) (0)
- A Dual-Channel Semi-Supervised Learning Framework on Graphs via Knowledge Transfer and Meta-Learning (2023) (0)
- Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation (2022) (0)
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