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ORCIDHong Cheng 0001
Person information
- affiliation: Chinese University of Hong Kong, Department of SEEM, China
- affiliation (PhD 2008): University of Illinois, Urbana, IL, USA
Other persons with the same name
- Hong Cheng — disambiguation page
- Hong Cheng 0002
![[0000-0001-5532-9530]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5532-9530")
— University of Electronic Science and Technology of China, Center for Robotics, School of Automation Engineering, Chengdu, China (and 2 more) - Hong Cheng 0003 — China University of Mining and Technology, School of Mechanical, Electronic and Information Engineering, Beijing, China
- Hong Cheng 0004 — University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China
- Hong Cheng 0005 — Chengdu University of Technology, Logistics Management Department, College of Management Science, China
- Hong Cheng 0006 — Shanghai Lixin University of Accounting and Finance, School of Statistics and Mathematics, China (and 1 more)
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2020 – today
- 2024
[j66]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. 56(11): 293:1-293:39 (2024)- [j65]Wen Deng, Weiguo Zheng, Hong Cheng:
Accelerating Maximal Clique Enumeration via Graph Reduction. Proc. VLDB Endow. 17(10): 2419-2431 (2024) - [j64]Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi:
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models. IEEE Trans. Knowl. Data Eng. 36(6): 2357-2371 (2024) - [j63]Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. IEEE Trans. Knowl. Data Eng. 36(11): 5849-5859 (2024) - [c107]Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson:
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics. ACL (1) 2024: 14625-14637 - [c106]Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng:
Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. CIKM 2024: 130-140 - [c105]Zhiyao Shu, Xiangguo Sun, Hong Cheng:
When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CIKM 2024: 2087-2096 - [c104]Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng:
Natural Language-Assisted Multi-modal Medication Recommendation. CIKM 2024: 2200-2209 - [c103]Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong:
PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. LREC/COLING 2024: 12564-12573 - [c102]Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong:
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement. EMNLP 2024: 18455-18462 - [c101]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. ICLR 2024 - [c100]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. IJCAI 2024: 8123-8131 - [c99]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract). IJCAI 2024: 8460-8465 - [c98]Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li:
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD 2024: 4443-4454 - [c97]Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu:
Graph Intelligence with Large Language Models and Prompt Learning. KDD 2024: 6545-6554 - [i41]Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li:
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. CoRR abs/2402.09834 (2024) - [i40]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. CoRR abs/2402.18813 (2024) - [i39]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract). CoRR abs/2403.07040 (2024) - [i38]Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li:
ProG: A Graph Prompt Learning Benchmark. CoRR abs/2406.05346 (2024) - [i37]Zhiyao Shu, Xiangguo Sun, Hong Cheng:
When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CoRR abs/2407.03568 (2024) - [i36]Qunzhong Wang, Xiangguo Sun, Hong Cheng:
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. CoRR abs/2410.01635 (2024) - [i35]Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi:
Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations. CoRR abs/2410.11719 (2024) - [i34]Minbin Huang, Runhui Huang, Han Shi, Yimeng Chen, Chuanyang Zheng, Xiangguo Sun, Xin Jiang, Zhenguo Li, Hong Cheng:
Efficient Multi-modal Large Language Models via Visual Token Grouping. CoRR abs/2411.17773 (2024) - 2023
- [j62]Yuli Jiang, Huaijia Lin, Ye Li, Yu Rong, Hong Cheng, Xin Huang:
Exploiting node-feature bipartite graph in graph convolutional networks. Inf. Sci. 628: 409-423 (2023) - [j61]Yingfan Liu, Chaowei Song, Hong Cheng, Xiaofang Xia, Jiangtao Cui:
Accelerating massive queries of approximate nearest neighbor search on high-dimensional data. Knowl. Inf. Syst. 65(10): 4185-4212 (2023) - [j60]Zijin Feng, Miao Qiao, Hong Cheng:
Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation. Proc. ACM Manag. Data 1(3): 215:1-215:25 (2023) - [j59]Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng:
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16(8): 1817-1829 (2023) - [j58]Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu:
Towards Indoor Temporal-Variation Aware Shortest Path Query. IEEE Trans. Knowl. Data Eng. 35(1): 998-1012 (2023) - [j57]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-Supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Trans. Knowl. Data Eng. 35(11): 11860-11871 (2023) - [c96]Jie Tan, Hengyi Cai, Hongshen Chen, Hong Cheng, Helen Meng, Zhuoye Ding:
Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation. ICASSP 2023: 1-5 - [c95]Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. ICDE 2023: 3467-3480 - [c94]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks. KDD 2023: 2120-2131 - [c93]Chun Hei Lo, Hong Cheng, Wai Lam, Guy Emerson:
Functional Distributional Semantics at Scale. *SEM@ACL 2023: 423-436 - [i33]Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. CoRR abs/2303.02405 (2023) - [i32]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR abs/2306.02051 (2023) - [i31]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks. CoRR abs/2307.01504 (2023) - [i30]Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi:
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. CoRR abs/2307.11772 (2023) - [i29]Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu:
Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR abs/2310.11778 (2023) - [i28]Wen Deng, Weiguo Zheng, Hong Cheng:
Accelerating Maximal Clique Enumeration via Graph Reduction. CoRR abs/2311.00279 (2023) - [i27]Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. CoRR abs/2311.05144 (2023) - [i26]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR abs/2311.12399 (2023) - [i25]Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li:
Graph Prompt Learning: A Comprehensive Survey and Beyond. CoRR abs/2311.16534 (2023) - 2022
- [j56]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. 15(6): 1243-1255 (2022) - [c92]Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng:
On Controlling Fallback Responses for Grounded Dialogue Generation. ACL (Findings) 2022: 2591-2601 - [c91]Chun Hei Lo, Wai Lam, Hong Cheng:
Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations. ACL (1) 2022: 5425-5439 - [c90]Zijin Feng, Miao Qiao, Hong Cheng:
Clustering Activation Networks. ICDE 2022: 780-792 - [c89]Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng:
Partner Personas Generation for Dialogue Response Generation. NAACL-HLT 2022: 5200-5212 - [c88]Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng:
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. WWW 2022: 2998-3008 - [i24]Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng:
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. CoRR abs/2202.02912 (2022) - [i23]Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya, Min Yang, Hong Cheng, Jianzhong Qi:
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs. CoRR abs/2210.08540 (2022) - [i22]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-supervised Hypergraph Representation Learning for Sociological Analysis. CoRR abs/2212.11440 (2022) - 2021
- [j55]Yuli Jiang, Xin Huang, Hong Cheng:
I/O efficient k-truss community search in massive graphs. VLDB J. 30(5): 713-738 (2021) - [c87]Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng:
Fast Distributed Complex Join Processing. ICDE 2021: 2087-2092 - [c86]Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng:
Deconvolutional Networks on Graph Data. NeurIPS 2021: 21019-21030 - [c85]Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. SIGMOD Conference 2021: 1195-1207 - [c84]Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. WWW 2021: 3688-3698 - [e3]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e2]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e1]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - [i21]Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng:
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation. CoRR abs/2101.06066 (2021) - [i20]Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. CoRR abs/2102.04228 (2021) - [i19]Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng:
Fast Distributed Complex Join Processing. CoRR abs/2102.13370 (2021) - [i18]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR abs/2104.03583 (2021) - [i17]Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng:
Deconvolutional Networks on Graph Data. CoRR abs/2110.15528 (2021) - [i16]Hongyuan Lu, Wai Lam, Hong Cheng, Helen M. Meng:
Partner Personas Generation for Diverse Dialogue Generation. CoRR abs/2111.13833 (2021) - [i15]Yingfan Liu, Hong Cheng, Jiangtao Cui:
Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses. CoRR abs/2112.02234 (2021) - 2020
- [j54]Chengzhi Piao, Weiguo Zheng, Yu Rong, Hong Cheng:
Maximizing the Reduction Ability for Near-maximum Independent Set Computation. Proc. VLDB Endow. 13(11): 2466-2478 (2020) - [j53]Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng:
Distributed Subgraph Counting: A General Approach. Proc. VLDB Endow. 13(11): 2493-2507 (2020) - [j52]Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Hong Cheng:
Answering Top-$k$ k Graph Similarity Queries in Graph Databases. IEEE Trans. Knowl. Data Eng. 32(8): 1459-1474 (2020) - [c83]Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu:
Shortest Path Queries for Indoor Venues with Temporal Variations. ICDE 2020: 2014-2017 - [c82]Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma:
Deep Graph Learning: Foundations, Advances and Applications. KDD 2020: 3555-3556 - [c81]Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. NeurIPS 2020 - [c80]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. WWW 2020: 917-927 - [i14]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. CoRR abs/2001.07933 (2020) - [i13]Wei Shi, Siyuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu:
Joint Embedding in Named Entity Linking on Sentence Level. CoRR abs/2002.04936 (2020) - [i12]Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. CoRR abs/2010.04408 (2020) - [i11]Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins:
Graph Autoencoders with Deconvolutional Networks. CoRR abs/2012.11898 (2020)
2010 – 2019
- 2019
- [j51]Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, Lei Zou, Kangfei Zhao:
Interactive natural language question answering over knowledge graphs. Inf. Sci. 481: 141-159 (2019) - [c79]Weiguo Zheng, Chengzhi Piao, Hong Cheng, Jeffrey Xu Yu:
Computing a Near-Maximum Independent Set in Dynamic Graphs. ICDE 2019: 76-87 - [c78]Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. KDD 2019: 1279-1289 - [c77]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. WWW 2019: 972-982 - [i10]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. CoRR abs/1904.05003 (2019) - [i9]Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. CoRR abs/1905.03994 (2019) - [i8]Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. CoRR abs/1911.06511 (2019) - 2018
- [j50]Yingfan Liu, Hao Wei, Hong Cheng:
Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data. Inf. Sci. 465: 484-504 (2018) - [j49]Weiguo Zheng, Jeffrey Xu Yu, Lei Zou, Hong Cheng:
Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition. Proc. VLDB Endow. 11(11): 1373-1386 (2018) - [c76]Siyuan Zhang, Hong Cheng:
Exploiting Context Graph Attention for POI Recommendation in Location-Based Social Networks. DASFAA (1) 2018: 83-99 - [c75]Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang:
Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. DASFAA (2) 2018: 457-473 - [c74]Weiguo Zheng, Qichen Wang, Jeffrey Xu Yu, Hong Cheng, Lei Zou:
Efficient Computation of a Near-Maximum Independent Set over Evolving Graphs. ICDE 2018: 869-880 - [c73]Yuli Jiang, Xin Huang, Hong Cheng, Jeffrey Xu Yu:
VizCS: Online Searching and Visualizing Communities in Dynamic Graphs. ICDE 2018: 1585-1588 - [c72]Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng:
TATC: Predicting Alzheimer's Disease with Actigraphy Data. KDD 2018: 509-518 - [r5]Hong Cheng, Jiawei Han:
Frequent Itemsets and Association Rules. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Hong Cheng, Jiawei Han:
Pattern-Growth Methods. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Hong Cheng, Jeffrey Xu Yu:
Graph Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j48]Ji-Bing Gong, Xiaoxia Gao, Hong Cheng, Jihui Liu, Yanqing Song, Mantang Zhang, Yi Zhao:
Integrating a weighted-average method into the random walk framework to generate individual friend recommendations. Sci. China Inf. Sci. 60(11): 110104:1-110104:22 (2017) - [j47]Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou:
Keyphrase Extraction Using Knowledge Graphs. Data Sci. Eng. 2(4): 275-288 (2017) - [j46]Yuanyuan Zhu, Hao Zhang, Lu Qin, Hong Cheng:
Efficient MapReduce algorithms for triangle listing in billion-scale graphs. Distributed Parallel Databases 35(2): 149-176 (2017) - [j45]Miao Qiao, Hao Zhang, Hong Cheng:
Subgraph Matching: on Compression and Computation. Proc. VLDB Endow. 11(2): 176-188 (2017) - [j44]Yihan Wang, Shaoxu Song, Lei Chen, Jeffrey Xu Yu, Hong Cheng:
Discovering Conditional Matching Rules. ACM Trans. Knowl. Discov. Data 11(4): 46:1-46:38 (2017) - [j43]Qiankun Zhu, Hong Cheng, Xin Huang:
I/O-efficient algorithms for top-k nearest keyword search in massive graphs. VLDB J. 26(4): 563-583 (2017) - [j42]Shaoxu Song, Boge Liu, Hong Cheng, Jeffrey Xu Yu, Lei Chen:
Graph repairing under neighborhood constraints. VLDB J. 26(5): 611-635 (2017) - [c71]Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou:
Keyphrase Extraction Using Knowledge Graphs. APWeb/WAIM (1) 2017: 132-148 - [c70]Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao:
Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. CIKM 2017: 217-226 - [c69]Yingfan Liu, Hong Cheng, Jiangtao Cui:
PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. CIKM 2017: 667-676 - [c68]Yu Rong, Hong Cheng:
Minimizing Dependence between Graphs. CIKM 2017: 1827-1836 - [c67]Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu:
Efficient Local Clustering Coefficient Estimation in Massive Graphs. DASFAA (2) 2017: 371-386 - [c66]Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang:
An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. KDD 2017: 1951-1959 - [c65]Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao:
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds. NIPS 2017: 4868-4877 - [c64]Hongxia Du, Heli Sun, Jianbin Huang, Zhongbin Sun, Liang He, Hong Cheng:
Mining Cohesive Clusters with Interpretations in Labeled Graphs. PAKDD (2) 2017: 774-785 - 2016
- [j41]Xin Huang, Hong Cheng, Jeffrey Xu Yu:
Attributed Community Analysis: Global and Ego-centric Views. IEEE Data Eng. Bull. 39(3): 29-40 (2016) - [j40]Siyuan Zhang, Lu Qin, Yu Zheng, Hong Cheng:
Effective and Efficient: Large-Scale Dynamic City Express. IEEE Trans. Knowl. Data Eng. 28(12): 3203-3217 (2016)