Han Su

Orcid: 0000-0001-5579-0378

Affiliations:
  • University of Electronic Science and Technology of China, Yangtze Delta Region Institute (Quzhou), Chengdu, China
  • University of Queensland, Brisbane, QLD, Australia (PhD 2015)
  • Nanjing University, Software Institute, China (former)


According to our database1, Han Su authored at least 62 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Optimizing Block Skipping for High-Dimensional Data with Learned Adaptive Curve.
Proc. ACM Manag. Data, February, 2025

LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search.
Proceedings of the ACM on Web Conference 2025, 2025

2024
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle.
IEEE Trans. Knowl. Data Eng., July, 2024

SSCD-Net: Semi-supervised Skin Cancer Diagnostical Network Combined with Curriculum Learning, Disease Relation and Clinical Information.
Proceedings of the International Joint Conference on Neural Networks, 2024

Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

MODUS: An Impact-Aware Decision Framework with Adaptive Fusion for Connected Autonomous Vehicles.
Proceedings of the Database Systems for Advanced Applications, 2024

FAITH: A Fast, Accurate, and Lightweight Database-Agnostic Learned Cost Model.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2024 International Workshops, 2024

Imitation Learning Decision with Driving Style Tuning for Personalized Autonomous Driving.
Proceedings of the Database Systems for Advanced Applications, 2024

Towards Online and Safe Configuration Tuning with Semi-supervised Anomaly Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
BASE: Bridging the Gap between Cost and Latency for Query Optimization.
Proc. VLDB Endow., 2023

LEON: A New Framework for ML-Aided Query Optimization.
Proc. VLDB Endow., 2023

Parameterized Decision-making with Multi-modal Perception for Autonomous Driving.
CoRR, 2023

Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

SMART: A Decision-Making Framework with Multi-modality Fusion for Autonomous Driving Based on Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2023

EGL: Efficient Graph Learning with Safety Constrains for Heterogeneous Trajectory Prediction.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach.
ACM Trans. Intell. Syst. Technol., 2022

Astral: An Autoencoder-Based Model for Pedestrian Trajectory Prediction of Variable-Length.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

TSummary: A Traffic Summarization System Using Semantic Words.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SCSG Attention: A Self-centered Star Graph with Attention for Pedestrian Trajectory Prediction.
Proceedings of the Database Systems for Advanced Applications, 2021

PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A survey of trajectory distance measures and performance evaluation.
VLDB J., 2020

Answering Why-Not Group Spatial Keyword Queries.
IEEE Trans. Knowl. Data Eng., 2020

Destination-Aware Task Assignment in Spatial Crowdsourcing: A Worker Decomposition Approach.
IEEE Trans. Knowl. Data Eng., 2020

Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

DeepQT : Learning Sequential Context for Query Execution Time Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

Intention-Based Destination Recommendation in Navigation Systems.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Answering Why-Not Group Spatial Keyword Queries (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

PerRD: A System for Personalized Route Description.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Personalized Route Description Based On Historical Trajectories.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multiple Rumor Source Detection with Graph Convolutional Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Preference-Aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
SharkDB: an in-memory column-oriented storage for trajectory analysis.
World Wide Web, 2018

Advanced forecasting of career choices for college students based on campus big data.
Frontiers Comput. Sci., 2018

Concept for Evaluation of Techniques for Trajectory Distance Measures.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Efficient Clue-Based Route Search on Road Networks (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Predicting Passenger's Public Transportation Travel Route Using Smart Card Data.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Location Prediction in Social Networks.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Efficient Clue-Based Route Search on Road Networks.
IEEE Trans. Knowl. Data Eng., 2017

PaRE: A System for Personalized Route Guidance.
Proceedings of the 26th International Conference on World Wide Web, 2017

Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network.
Proceedings of the Database Systems for Advanced Applications, 2017

GPS-Simulated Trajectory Detection.
Proceedings of the Database Systems for Advanced Applications, 2017

Destination-aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Landmark-Based Route Recommendation with Crowd Intelligence.
Data Sci. Eng., 2016

PerNav: A Route Summarization Framework for Personalized Navigation.
Proceedings of the 2016 International Conference on Management of Data, 2016

Keyword-aware continuous kNN query on road networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Quality-aware trajectory processing using significant locations
PhD thesis, 2015

Calibrating trajectory data for spatio-temporal similarity analysis.
VLDB J., 2015

Go Beyond Raw Trajectory Data: Quality and Semantics.
IEEE Data Eng. Bull., 2015

Interactive Top-k Spatial Keyword queries.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Making sense of trajectory data: A partition-and-summarization approach.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
STMaker - A System to Make Sense of Trajectory Data.
Proc. VLDB Endow., 2014

A crowd-based route recommendation system-CrowdPlanner.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

CrowdPlanner: A crowd-based route recommendation system.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Efficient Aggregate Farthest Neighbour Query Processing on Road Networks.
Proceedings of the Databases Theory and Applications, 2014

2013
CrowdPlanner: A Crowd-Based Route Recommendation System.
CoRR, 2013

Calibrating trajectory data for similarity-based analysis.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

An Effectiveness Study on Trajectory Similarity Measures.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013

2011
HeartPlayer: A Smart Music Player Involving Emotion Recognition, Expression and Recommendation.
Proceedings of the Advances in Multimedia Modeling, 2011


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