Kai Han

Orcid: 0000-0002-6302-5366

Affiliations:
  • Soochow University, School of Computer Science and Technology, Suzhou, China
  • University of Science and Technology of China, School of Computer Science and Technology / Suzhou Institute for Advanced Study, Hefei, China (former)
  • Zhongyuan University of Technology, School of Computer Engineering, Zhengzhou, China (former)
  • Nanyang Technological University, Singapore (former)
  • University of Science and Technology of China, Hefei, China (PhD 2004)


According to our database1, Kai Han authored at least 94 papers between 2006 and 2024.

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Bibliography

2024
Spatial and Temporal User Interest Representations for Sequential Recommendation.
IEEE Trans. Comput. Soc. Syst., October, 2024

H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation.
ACM Trans. Inf. Syst., May, 2024

Assortment Planning with Sponsored Products.
CoRR, 2024

Fairness in Streaming Submodular Maximization Subject to a Knapsack Constraint.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Deletion-Robust Submodular Maximization with Knapsack Constraints.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi Global Information Assisted Streaming Session-Based Recommendation System.
IEEE Trans. Knowl. Data Eng., August, 2023

On the task assignment with group fairness for spatial crowdsourcing.
Inf. Process. Manag., 2023

Practical Parallel Algorithms for Non-Monotone Submodular Maximization.
CoRR, 2023

Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular Objectives.
Proceedings of the ACM Web Conference 2023, 2023

Constrained Subset Selection from Data Streams for Profit Maximization.
Proceedings of the ACM Web Conference 2023, 2023

Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deletion-Robust Submodular Maximization under a Knapsack Constraint.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Chromatic Correlation Clustering, Revisited.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Noisy Interactive Graph Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Fast Algorithm for Big Data Summarization with Knapsack and Partition Matroid Constraints.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

Distributed Influence Maximization for Large-Scale Online Social Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Bilinear Multi-Head Attention Graph Neural Network for Traffic Prediction.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Fairness-Aware Algorithms for Seed Allocation in Social Advertising.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Graph clustering under weight-differential privacy.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

An Algorithmic View of Streaming Submodular Data Summarization with A Knapsack Constraint.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

2021
Streaming Algorithms for Constrained Submodular Maximization.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Approximation Algorithms for Submodular Data Summarization with a Knapsack Constraint.
Proc. ACM Meas. Anal. Comput. Syst., 2021

The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization.
CoRR, 2021

GMGCN: Gated Memory Graph Convolutional Network for Passenger Demand Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Efficient and Effective Algorithms for Revenue Maximization in Social Advertising.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Attention-based Bicomponent Synchronous Graph Convolutional Network for traffic flow prediction.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Randomized Algorithms for Submodular Function Maximization with a k-System Constraint.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Dynamic Algorithm for Submodular Maximization with a Knapsack Constraint.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Information Diffusion Prediction via Dynamic Graph Neural Networks.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020
Efficient approximation algorithms for adaptive influence maximization.
VLDB J., 2020

On Table Resource Virtualization and Network Slicing in Programmable Data Plane.
IEEE Trans. Netw. Serv. Manag., 2020

Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks.
IEEE Trans. Knowl. Data Eng., 2020

Differentially Private and Budget-Limited Bandit Learning over Matroids.
INFORMS J. Comput., 2020

Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction.
Proceedings of the Knowledge Science, Engineering and Management, 2020

2019
Proactive and Hitless vSDN Reconfiguration to Balance Substrate TCAM Utilization: From Algorithm Design to System Prototype.
IEEE Trans. Netw. Serv. Manag., 2019

Persistent Traffic Measurement through Vehicle-to-Infrastructure Communications in Cyber-Physical Road Systems.
IEEE Trans. Mob. Comput., 2019

Differentially Private Mechanisms for Budget Limited Mobile Crowdsourcing.
IEEE Trans. Mob. Comput., 2019

Organizing an Influential Social Event Under a Budget Constraint.
IEEE Trans. Knowl. Data Eng., 2019

Efficient and Effective Algorithms for Clustering Uncertain Graphs.
Proc. VLDB Endow., 2019

Privacy-Preserving Estimation of k-Persistent Traffic in Vehicular Cyber-Physical Systems.
IEEE Internet Things J., 2019

Toward location privacy protection in Spatial crowdsourcing.
Int. J. Distributed Sens. Networks, 2019

Camul: Online Caching on Multiple Caches with Relaying and Bypassing.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

SimilarMF: A Social Recommender System Using an Embedding Method.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

On Application-Aware and On-Demand Service Composition in Heterogenous NFV Environments.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

PrivBUD-Wise: Differentially Private Frequent Itemsets Mining in High-Dimensional Databases.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018
Quality-Aware Pricing for Mobile Crowdsensing.
IEEE/ACM Trans. Netw., 2018

Improving SDN Scalability With Protocol-Oblivious Source Routing: A System-Level Study.
IEEE Trans. Netw. Serv. Manag., 2018

Efficient Algorithms for Adaptive Influence Maximization.
Proc. VLDB Endow., 2018

Approximation Algorithms for Probabilistic Graphs.
CoRR, 2018

Realizing Highly-Available, Scalable, and Protocol-Independent vSDN Slicing With a Distributed Network Hypervisor System.
IEEE Access, 2018

Application-Driven End-to-End Slicing: When Wireless Network Virtualization Orchestrates With NFV-Based Mobile Edge Computing.
IEEE Access, 2018

Privacy-Preserving Task Assignment in Skill-Aware Spatial Crowdsourcing.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Privacy-Preserving Personal Sensitive Data in Crowdsourcing.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

A Supervised Learning Approach to Link Prediction in Dynamic Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Attributed Community Search in Dynamic Networks.
Proceedings of the 2018 IEEE SmartWorld, 2018

Exploiting Implicit Trust and Geo-Social Network for Recommendation.
Proceedings of the 2018 IEEE SmartWorld, 2018

Utility-Aware Trip Planning.
Proceedings of the 2018 IEEE SmartWorld, 2018

Discount Allocation for Revenue Maximization in Online Social Networks.
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

You Can Drop but You Can't Hide: K-persistent Spread Estimation in High-speed Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Budget-Constrained Organization of Influential Social Events.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

PVFlow: Flow-Table Virtualization in POF-based vSDN Hypervisor (PVX).
Proceedings of the 2018 International Conference on Computing, 2018

Make Big Data Applications More Reliable: Hitless vSDN Migration to Avoid TCAM Depletion.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Virtualization of Table Resources in Programmable Data Plane with Global Consideration.
Proceedings of the IEEE Global Communications Conference, 2018

Privacy-Preserving Auction-based Incentive Mechanism for Mobile Crowdsensing Systems.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Cost-Aware Targeted Viral Marketing with Time Constraints in Social Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

Exploring Influence Maximization in Location-Based Social Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

2017
Opportunistic Mobile Data Offloading with Deadline Constraints.
IEEE Trans. Parallel Distributed Syst., 2017

Cost-Effective Seed Selection in Online Social Networks.
CoRR, 2017

SR-PVX: A Source Routing Based Network Virtualization Hypervisor to Enable POF-FIS Programmability in vSDNs.
IEEE Access, 2017

Online Pricing for Mobile Crowdsourcing with Multi-Minded Users.
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

Networked Stochastic Multi-armed Bandits with Combinatorial Strategies.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Embedding virtual software-defined networks over distributed hypervisors for vDC formulation.
Proceedings of the IEEE International Conference on Communications, 2017

Leveraging Protocol-Oblivious Forwarding (POF) to Realize NFV-Assisted Mobility Management.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Taming the Uncertainty: Budget Limited Robust Crowdsensing Through Online Learning.
IEEE/ACM Trans. Netw., 2016

Truthful Scheduling Mechanisms for Powering Mobile Crowdsensing.
IEEE Trans. Computers, 2016

Deadline-Sensitive Mobile Data Offloading via Opportunistic Communications.
Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016

Posted pricing for robust crowdsensing.
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016

2015
Achieving Energy Efficiency and Reliability for Data Dissemination in Duty-Cycled WSNs.
IEEE/ACM Trans. Netw., 2015

RUSH: Routing and scheduling for hybrid data center networks.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2014
MEGCOM: Minimum-Energy Group COMmunication in Multihop Wireless Networks.
IEEE Trans. Veh. Technol., 2014

BLISS: Budget LImited robuSt crowdSensing through online learning.
Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

2013
Duty-Cycle-Aware Minimum-Energy Multicasting in Wireless Sensor Networks.
IEEE/ACM Trans. Netw., 2013

Truthful Scheduling Mechanisms for Powering Mobile Crowdsensing.
CoRR, 2013

Algorithm design for data communications in duty-cycled wireless sensor networks: A survey.
IEEE Commun. Mag., 2013

Fueling Wireless Networks perpetually: A case of multi-hop wireless power distribution<sup>∗</sup>.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

Energy-efficient reliable data dissemination in duty-cycled wireless sensor networks.
Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013

2012
MEGCOM: Min-Energy Group COMmunication in Multi-hop Wireless Networks
CoRR, 2012

Minimum-energy connected coverage in wireless sensor networks with omni-directional and directional features.
Proceedings of the Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2012

2010
Minimum-Energy Multicasting in Asynchronous Duty-Cycled Wireless Ad Hoc Networks
CoRR, 2010

2008
Broadcast Routing and Channel Selection in Multi-Radio Wireless Mesh Networks.
Proceedings of the WCNC 2008, IEEE Wireless Communications & Networking Conference, March 31 2008, 2008

2006
Privacy Preserving C4.5 Algorithm Over Horizontally Partitioned Data.
Proceedings of the Grid and Cooperative Computing, 2006


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