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ORCIDKai Han 0003
Person information
- affiliation: Soochow University, School of Computer Science and Technology, Suzhou, China
- affiliation (former): University of Science and Technology of China, School of Computer Science and Technology / Suzhou Institute for Advanced Study, Hefei, China
- affiliation (former): Zhongyuan University of Technology, School of Computer Engineering, Zhengzhou, China
- affiliation (former): Nanyang Technological University, Singapore
- affiliation (PhD 2004): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Kai Han — disambiguation page
- Kai Han 0001
![[0000-0002-7995-9999]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7995-9999")
— University of Hong Kong, HK (and 4 more) - Kai Han 0002 — Huawei Technologies, Noah's Ark Lab (and 1 more)
- Kai Han 0004 — Virginia Technology, ECE Department, Blacksburg, VA, USA
- Kai Han 0005 — Weifang University, China (and 1 more)
- Kai Han 0006 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Kai Han 0007 — University of Chinese Academy of Sciences, Beijing, China (and 1 more)
- Kai Han 0008 — Shanghai University, School of Computer Engineering and Science, Artificial Intelligence Institute, China
- Kai Han 0009 — North China University of Technology, School of Computer Science and Technology, Beijing, China
- Kai Han 0010 — Deepwise AI Lab, Beijing, China
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2020 – today
- 2024
[c57]Shuang Cui, Kai Han, He Huang:
Deletion-Robust Submodular Maximization with Knapsack Constraints. AAAI 2024: 11695-11703- 2023
- [j29]Benwei Wu, Kai Han, Enpei Zhang:
On the task assignment with group fairness for spatial crowdsourcing. Inf. Process. Manag. 60(2): 103175 (2023) - [j28]Zhizhuo Yin, Kai Han, Pengzi Wang, Haibing Hu:
Multi Global Information Assisted Streaming Session-Based Recommendation System. IEEE Trans. Knowl. Data Eng. 35(8): 8245-8256 (2023) - [c56]Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli:
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity. AAAI 2023: 7261-7269 - [c55]Wenhao Sun, Kai Han, Shuang Cui:
Deletion-Robust Submodular Maximization under a Knapsack Constraint. HPCC/DSS/SmartCity/DependSys 2023: 482-489 - [c54]Kai Han, You Wu, He Huang, Shuang Cui:
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms. NeurIPS 2023 - [c53]Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li:
Streaming Algorithms for Constrained Submodular Maximization. SIGMETRICS (Abstracts) 2023: 65-66 - [c52]Shuang Cui, Kai Han, Jing Tang, He Huang:
Constrained Subset Selection from Data Streams for Profit Maximization. WWW 2023: 1822-1831 - [c51]He Huang, Kai Han, Shuang Cui, Jing Tang:
Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular Objectives. WWW 2023: 3530-3540 - [i11]Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli, Hanxiao Li:
Practical Parallel Algorithms for Non-Monotone Submodular Maximization. CoRR abs/2308.10656 (2023) - 2022
- [c50]Enpei Zhang, Kai Han, Benwei Wu:
An Algorithmic View of Streaming Submodular Data Summarization with A Knapsack Constraint. DSIT 2022: 1-6 - [c49]Pengzi Wang, Yiming Zhu, Kai Han, Zhizhuo Yin, Qing Xiu, Pan Hui:
Fairness-Aware Algorithms for Seed Allocation in Social Advertising. HPCC/DSS/SmartCity/DependSys 2022: 464-473 - [c48]Lang Chen, Kai Han, Qing Xiu, Dazheng Gao:
Graph clustering under weight-differential privacy. HPCC/DSS/SmartCity/DependSys 2022: 1457-1464 - [c47]Haibing Hu, Kai Han, Zhizhuo Yin:
Bilinear Multi-Head Attention Graph Neural Network for Traffic Prediction. ICAART (2) 2022: 33-43 - [c46]Jing Tang, Yuqing Zhu, Xueyan Tang, Kai Han:
Distributed Influence Maximization for Large-Scale Online Social Networks. ICDE 2022: 81-95 - [c45]Benwei Wu, Kai Han:
Fast Algorithm for Big Data Summarization with Knapsack and Partition Matroid Constraints. INISTA 2022: 1-6 - [c44]Qianhao Cong, Jing Tang, Kai Han, Yuming Huang, Lei Chen, Yeow Meng Chee:
Noisy Interactive Graph Search. KDD 2022: 231-240 - [c43]Qing Xiu, Kai Han, Jing Tang, Shuang Cui, He Huang:
Chromatic Correlation Clustering, Revisited. NeurIPS 2022 - 2021
- [j27]Kai Han, Shuang Cui, Tianshuai Zhu, Enpei Zhang, Benwei Wu, Zhizhuo Yin, Tong Xu, Shaojie Tang, He Huang:
Approximation Algorithms for Submodular Data Summarization with a Knapsack Constraint. Proc. ACM Meas. Anal. Comput. Syst. 5(1): 05:1-05:31 (2021) - [j26]Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan:
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint. Proc. ACM Meas. Anal. Comput. Syst. 5(1): 08:1-08:22 (2021) - [j25]Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li:
Streaming Algorithms for Constrained Submodular Maximization. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 54:1-54:32 (2021) - [c42]Zongmai Cao, Kai Han, Jianfu Zhu:
Information Diffusion Prediction via Dynamic Graph Neural Networks. CSCWD 2021: 1099-1104 - [c41]Tianshuai Zhu, Kai Han, Enpei Zhang, Benwei Wu:
A Dynamic Algorithm for Submodular Maximization with a Knapsack Constraint. HPCC/DSS/SmartCity/DependSys 2021: 462-469 - [c40]Shuang Cui, Kai Han, Tianshuai Zhu, Jing Tang, Benwei Wu, He Huang:
Randomized Algorithms for Submodular Function Maximization with a k-System Constraint. ICML 2021: 2222-2232 - [c39]Cheng Shen, Kai Han, Tianyuan Bi:
Attention-based Bicomponent Synchronous Graph Convolutional Network for traffic flow prediction. MSN 2021: 778-785 - [c38]Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan:
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint. SIGMETRICS (Abstracts) 2021: 63-64 - [c37]Kai Han, Shuang Cui, Tianshuai Zhu, Enpei Zhang, Benwei Wu, Zhizhuo Yin, Tong Xu, Shaojie Tang, He Huang:
Approximation Algorithms for Submodular Data Summarization with a Knapsack Constraint. SIGMETRICS (Abstracts) 2021: 65-66 - [c36]Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan:
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. SIGMOD Conference 2021: 671-684 - [c35]Tianyuan Bi, Kai Han, Cheng Shen:
GMGCN: Gated Memory Graph Convolutional Network for Passenger Demand Prediction. WISE (1) 2021: 355-369 - [i10]Kai Han, Shuang Cui, Tianshuai Zhu, Jing Tang, Benwei Wu, He Huang:
The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization. CoRR abs/2106.07116 (2021) - [i9]Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan:
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. CoRR abs/2107.04997 (2021) - 2020
- [j24]Kai Han, Yuntian He, Alex X. Liu, Shaojie Tang, He Huang:
Differentially Private and Budget-Limited Bandit Learning over Matroids. INFORMS J. Comput. 32(3): 790-804 (2020) - [j23]Kai Han, Yuntian He, Keke Huang, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks. IEEE Trans. Knowl. Data Eng. 32(12): 2297-2309 (2020) - [j22]Yuhan Xue, Jianquan Peng, Kai Han, Zuqing Zhu:
On Table Resource Virtualization and Network Slicing in Programmable Data Plane. IEEE Trans. Netw. Serv. Manag. 17(1): 319-331 (2020) - [j21]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient approximation algorithms for adaptive influence maximization. VLDB J. 29(6): 1385-1406 (2020) - [c34]Liujuan Chen, Kai Han, Qiao Yin, Zongmai Cao:
GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction. KSEM (2) 2020: 438-449 - [c33]Kai Han, Zongmai Cao, Shuang Cui, Benwei Wu:
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time. NeurIPS 2020 - [i8]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Influence Maximization. CoRR abs/2004.06469 (2020) - [i7]Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan:
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint. CoRR abs/2008.05391 (2020) - [i6]Kai Han, Zongmai Cao, Shuang Cui, Benwei Wu:
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time. CoRR abs/2010.11420 (2020)
2010 – 2019
- 2019
- [j20]Hang Ye, Kai Han, Chaoting Xu, Jingxin Xu, Fei Gui:
Toward location privacy protection in Spatial crowdsourcing. Int. J. Distributed Sens. Networks 15(3) (2019) - [j19]Yu-E Sun, He Huang, Shigang Chen, You Zhou, Kai Han, Wenjian Yang:
Privacy-Preserving Estimation of k-Persistent Traffic in Vehicular Cyber-Physical Systems. IEEE Internet Things J. 6(5): 8296-8309 (2019) - [j18]Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang:
Efficient and Effective Algorithms for Clustering Uncertain Graphs. Proc. VLDB Endow. 12(6): 667-680 (2019) - [j17]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo:
Organizing an Influential Social Event Under a Budget Constraint. IEEE Trans. Knowl. Data Eng. 31(12): 2379-2392 (2019) - [j16]Kai Han, Huan Liu, Shaojie Tang, Mingjun Xiao, Jun Luo:
Differentially Private Mechanisms for Budget Limited Mobile Crowdsourcing. IEEE Trans. Mob. Comput. 18(4): 934-946 (2019) - [j15]Yu-E Sun, He Huang, Shigang Chen, Hongli Xu, Kai Han, Yian Zhou:
Persistent Traffic Measurement through Vehicle-to-Infrastructure Communications in Cyber-Physical Road Systems. IEEE Trans. Mob. Comput. 18(7): 1616-1630 (2019) - [j14]Sicheng Zhao, Deyun Li, Kai Han, Zuqing Zhu:
Proactive and Hitless vSDN Reconfiguration to Balance Substrate TCAM Utilization: From Algorithm Design to System Prototype. IEEE Trans. Netw. Serv. Manag. 16(2): 647-660 (2019) - [c32]Jingxin Xu, Kai Han, Pingping Song, Chaoting Xu, Fei Gui:
PrivBUD-Wise: Differentially Private Frequent Itemsets Mining in High-Dimensional Databases. APWeb/WAIM (1) 2019: 110-124 - [c31]Lu Dong, Kai Han, Lipei Liang, Bin Niu, Sicheng Zhao, Zuqing Zhu:
On Application-Aware and On-Demand Service Composition in Heterogenous NFV Environments. GLOBECOM 2019: 1-6 - [c30]Chaoting Xu, Kai Han, Fei Gui, Jingxin Xu:
SimilarMF: A Social Recommender System Using an Embedding Method. HPCC/SmartCity/DSS 2019: 1328-1334 - [c29]Haisheng Tan, Shaofeng H.-C. Jiang, Zhenhua Han, Liuyan Liu, Kai Han, Qinglin Zhao:
Camul: Online Caching on Multiple Caches with Relaying and Bypassing. INFOCOM 2019: 244-252 - 2018
- [j13]Huibai Huang, Bin Niu, Shaofei Tang, Shengru Li, Sicheng Zhao, Kai Han, Zuqing Zhu:
Realizing Highly-Available, Scalable, and Protocol-Independent vSDN Slicing With a Distributed Network Hypervisor System. IEEE Access 6: 13513-13522 (2018) - [j12]Kai Han, Shengru Li, Shaofei Tang, Huibai Huang, Sicheng Zhao, Guilu Fu, Zuqing Zhu:
Application-Driven End-to-End Slicing: When Wireless Network Virtualization Orchestrates With NFV-Based Mobile Edge Computing. IEEE Access 6: 26567-26577 (2018) - [j11]Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang:
Efficient Algorithms for Adaptive Influence Maximization. Proc. VLDB Endow. 11(9): 1029-1040 (2018) - [j10]Shengru Li, Kai Han, Nirwan Ansari, Qinkun Bao, Daoyun Hu, Junjie Liu, Shui Yu, Zuqing Zhu:
Improving SDN Scalability With Protocol-Oblivious Source Routing: A System-Level Study. IEEE Trans. Netw. Serv. Manag. 15(1): 275-288 (2018) - [j9]Kai Han, He Huang, Jun Luo:
Quality-Aware Pricing for Mobile Crowdsensing. IEEE/ACM Trans. Netw. 26(4): 1728-1741 (2018) - [c28]Ke Xu, Kai Han:
Cost-Aware Targeted Viral Marketing with Time Constraints in Social Networks. CollaborateCom 2018: 75-91 - [c27]Shasha Li, Kai Han, Jiahao Zhang:
Exploring Influence Maximization in Location-Based Social Networks. CollaborateCom 2018: 92-111 - [c26]Naiting Xu, Kai Han, Shaojie Tang, Shuai Xu, Feiyang Li, Jiahao Zhang:
Privacy-Preserving Auction-based Incentive Mechanism for Mobile Crowdsensing Systems. CSCWD 2018: 390-395 - [c25]Yuhan Xue, Shengru Li, Kai Han, Sicheng Zhao, Huibai Huang, Shui Yu, Zuqing Zhu:
Virtualization of Table Resources in Programmable Data Plane with Global Consideration. GLOBECOM 2018: 1-6 - [c24]Sicheng Zhao, Yao Jin, Kai Han, Jie Yin, Zuqing Zhu:
Make Big Data Applications More Reliable: Hitless vSDN Migration to Avoid TCAM Depletion. ICC 2018: 1-6 - [c23]Shengru Li, Kai Han, Huibai Huang, Zuqing Zhu:
PVFlow: Flow-Table Virtualization in POF-based vSDN Hypervisor (PVX). ICNC 2018: 861-865 - [c22]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo:
Budget-Constrained Organization of Influential Social Events. ICDE 2018: 917-928 - [c21]He Huang, Yu-e Sun, Shigang Chen, Shaojie Tang, Kai Han, Jing Yuan, Wenjian Yang:
You Can Drop but You Can't Hide: K-persistent Spread Estimation in High-speed Networks. INFOCOM 2018: 1889-1897 - [c20]Kai Han, Chaoting Xu, Fei Gui, Shaojie Tang, He Huang, Jun Luo:
Discount Allocation for Revenue Maximization in Online Social Networks. MobiHoc 2018: 121-130 - [c19]Feng Gao, Kai Han, Ke Xu:
Utility-Aware Trip Planning. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 865-872 - [c18]Jiahao Zhang, Kai Han, Junxiao Han, Feiyang Li, Shasha Li:
Attributed Community Search in Dynamic Networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 893-900 - [c17]Feiyang Li, Kai Han, Yue Li, Jiahao Zhang:
Exploiting Implicit Trust and Geo-Social Network for Recommendation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 925-931 - [c16]Ke Xu, Kai Han, Hang Ye, Feng Gao, Chaoting Xu:
Privacy-Preserving Personal Sensitive Data in Crowdsourcing. WASA 2018: 509-520 - [c15]Hang Ye, Kai Han, Ke Xu, Feng Gao, Chaoting Xu:
Privacy-Preserving Task Assignment in Skill-Aware Spatial Crowdsourcing. WASA 2018: 593-605 - [c14]Shuai Xu, Kai Han, Naiting Xu:
A Supervised Learning Approach to Link Prediction in Dynamic Networks. WASA 2018: 799-805 - [i5]Kai Han:
Approximation Algorithms for Probabilistic Graphs. CoRR abs/1807.01191 (2018) - 2017
- [j8]Shengru Li, Kai Han, Huibai Huang, Quanying Sun, Junjie Liu, Sicheng Zhao, Zuqing Zhu:
SR-PVX: A Source Routing Based Network Virtualization Hypervisor to Enable POF-FIS Programmability in vSDNs. IEEE Access 5: 7659-7666 (2017) - [j7]Guoju Gao, Mingjun Xiao, Jie Wu, Kai Han, Liusheng Huang, Zhenhua Zhao:
Opportunistic Mobile Data Offloading with Deadline Constraints. IEEE Trans. Parallel Distributed Syst. 28(12): 3584-3599 (2017) - [c13]Kai Han, Shengru Li, Junjie Liu, Shaofei Tang, Huibai Huang, Sicheng Zhao, Zuqing Zhu:
Leveraging Protocol-Oblivious Forwarding (POF) to Realize NFV-Assisted Mobility Management. GLOBECOM 2017: 1-6 - [c12]Huibai Huang, Shengru Li, Kai Han, Quanying Sun, Daoyun Hu, Zuqing Zhu:
Embedding virtual software-defined networks over distributed hypervisors for vDC formulation. ICC 2017: 1-6 - [c11]Shaojie Tang, Yaqin Zhou, Kai Han, Zhao Zhang, Jing Yuan, Weili Wu:
Networked Stochastic Multi-armed Bandits with Combinatorial Strategies. ICDCS 2017: 786-793 - [c10]Kai Han, Yuntian He, Haisheng Tan, Shaojie Tang, He Huang, Jun Luo:
Online Pricing for Mobile Crowdsourcing with Multi-Minded Users. MobiHoc 2017: 18:1-18:10 - [i4]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Cost-Effective Seed Selection in Online Social Networks. CoRR abs/1711.10665 (2017) - 2016
- [j6]Kai Han, Chi Zhang, Jun Luo, Menglan Hu, Bharadwaj Veeravalli:
Truthful Scheduling Mechanisms for Powering Mobile Crowdsensing. IEEE Trans. Computers 65(1): 294-307 (2016) - [j5]Kai Han, Chi Zhang, Jun Luo:
Taming the Uncertainty: Budget Limited Robust Crowdsensing Through Online Learning. IEEE/ACM Trans. Netw. 24(3): 1462-1475 (2016) - [c9]Kai Han, He Huang, Jun Luo:
Posted pricing for robust crowdsensing. MobiHoc 2016: 261-270 - [c8]Guoju Gao, Mingjun Xiao, Jie Wu, Kai Han, Liusheng Huang:
Deadline-Sensitive Mobile Data Offloading via Opportunistic Communications. SECON 2016: 1-9 - 2015
- [j4]Kai Han, Jun Luo, Liu Xiang, Mingjun Xiao, Liusheng Huang:
Achieving Energy Efficiency and Reliability for Data Dissemination in Duty-Cycled WSNs. IEEE/ACM Trans. Netw. 23(4): 1041-1052 (2015) - [c7]Kai Han, Zhiming Hu, Jun Luo, Liu Xiang:
RUSH: Routing and scheduling for hybrid data center networks. INFOCOM 2015: 415-423 - 2014
- [j3]Kai Han, Liu Xiang, Jun Luo, Yang Liu:
MEGCOM: Minimum-Energy Group COMmunication in Multihop Wireless Networks. IEEE Trans. Veh. Technol. 63(4): 1790-1801 (2014) - [c6]Kai Han, Chi Zhang, Jun Luo:
BLISS: Budget LImited robuSt crowdSensing through online learning. SECON 2014: 555-563 - 2013
- [j2]Kai Han, Jun Luo, Yang Liu, Athanasios V. Vasilakos:
Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. IEEE Commun. Mag. 51(7) (2013) - [j1]Kai Han, Yang Liu, Jun Luo:
Duty-Cycle-Aware Minimum-Energy Multicasting in Wireless Sensor Networks. IEEE/ACM Trans. Netw. 21(3): 910-923 (2013) - [c5]Kai Han, Liu Xiang, Jun Luo, Mingjun Xiao, Liusheng Huang:
Energy-efficient reliable data dissemination in duty-cycled wireless sensor networks. MobiHoc 2013: 287-292 - [c4]Liu Xiang, Jun Luo, Kai Han, Gaotao Shi:
Fueling Wireless Networks perpetually: A case of multi-hop wireless power distribution∗. PIMRC 2013: 1994-1999 - [i3]Kai Han, Chi Zhang, Jun Luo:
Truthful Scheduling Mechanisms for Powering Mobile Crowdsensing. CoRR abs/1308.4501 (2013) - 2012
- [c3]Kai Han, Liu Xiang, Jun Luo, Yang Liu:
Minimum-energy connected coverage in wireless sensor networks with omni-directional and directional features. MobiHoc 2012: 85-94 - [i2]Kai Han, Liu Xiang, Jun Luo, Yang Liu:
MEGCOM: Min-Energy Group COMmunication in Multi-hop Wireless Networks. CoRR abs/1202.1584 (2012) - 2010
- [i1]Kai Han, Yang Liu, Mingjun Xiao:
Minimum-Energy Multicasting in Asynchronous Duty-Cycled Wireless Ad Hoc Networks. CoRR abs/1010.2818 (2010)
2000 – 2009
- 2008
- [c2]Kai Han, Yuling Li, Qingyu Guo, Mingjun Xiao:
Broadcast Routing and Channel Selection in Multi-Radio Wireless Mesh Networks. WCNC 2008: 2188-2193 - 2006
- [c1]Mingjun Xiao, Kai Han, Liusheng Huang, Jing-Yuan Li:
Privacy Preserving C4.5 Algorithm Over Horizontally Partitioned Data. GCC 2006: 78-85
Coauthor Index
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