Hong Cheng

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 81

Top Venues

CoRR

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

ICDE

Publications

Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu
Graph Intelligence with Large Language Models and Prompt Learning. KDD (2024)
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)
Zhiyao Shu, Xiangguo Sun, Hong Cheng
When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CoRR (2024)
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) (2024)
Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
Protein Multimer Structure Prediction via Prompt Learning. ICLR (2024)
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) (2024)
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract). CoRR (2024)
Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
ProG: A Graph Prompt Learning Benchmark. CoRR (2024)
Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
Protein Multimer Structure Prediction via Prompt Learning. CoRR (2024)
Wen Deng, Weiguo Zheng, Hong Cheng
Accelerating Maximal Clique Enumeration via Graph Reduction. CoRR (2023)
Chun Hei Lo, Hong Cheng, Wai Lam, Guy Emerson
Functional Distributional Semantics at Scale. *SEM@ACL (2023)
Yuli Jiang, Huaijia Lin, Ye Li, Yu Rong, Hong Cheng, Xin Huang
Exploiting node-feature bipartite graph in graph convolutional networks. Inf. Sci. 628 (2023)
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
All in One: Multi-task Prompting for Graph Neural Networks. CoRR (2023)
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 (2023)
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) (2023)
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
All in One: Multi-Task Prompting for Graph Neural Networks. KDD (2023)
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) (2023)
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 (2023)
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)
Zijin Feng, Miao Qiao, Hong Cheng
Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation. Proc. ACM Manag. Data 1 (3) (2023)
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) (2023)
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 (2023)
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)
Chun Hei Lo, Wai Lam, Hong Cheng
Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations. ACL (1) (2022)
Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng
Partner Personas Generation for Dialogue Response Generation. NAACL-HLT (2022)
Zijin Feng, Miao Qiao, Hong Cheng
Clustering Activation Networks. ICDE (2022)
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) (2022)
Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng
On Controlling Fallback Responses for Grounded Dialogue Generation. ACL (Findings) (2022)
Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. CoRR (2022)
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 (2021)
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
Mask-GVAE: Blind Denoising Graphs via Partition. CoRR (2021)
Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng
Fast Distributed Complex Join Processing. ICDE (2021)
Hongyuan Lu, Wai Lam, Hong Cheng, Helen M. Meng
Partner Personas Generation for Diverse Dialogue Generation. CoRR (2021)
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
Deconvolutional Networks on Graph Data. NeurIPS (2021)
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR (2021)
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
Mask-GVAE: Blind Denoising Graphs via Partition. WWW (2021)
Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. SIGMOD Conference (2021)
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
Deconvolutional Networks on Graph Data. CoRR (2021)
Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng
Fast Distributed Complex Join Processing. CoRR (2021)
Yuli Jiang, Xin Huang, Hong Cheng
I/O efficient k-truss community search in massive graphs. VLDB J. 30 (5) (2021)
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) (2020)
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
Adversarial Attack on Community Detection by Hiding Individuals. WWW (2020)
Wei Shi, Siyuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu
Joint Embedding in Named Entity Linking on Sentence Level. CoRR (2020)
Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
Dirichlet Graph Variational Autoencoder. NeurIPS (2020)
Jia Li, Tomasyu Yu Jiajin Li, Honglei Zhang, Kangfei Zhao, Y. U. Rong, Hong Cheng
Dirichlet Graph Variational Autoencoder. CoRR (2020)
Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins
Graph Autoencoders with Deconvolutional Networks. CoRR (2020)
Chengzhi Piao, Weiguo Zheng, Yu Rong, Hong Cheng
Maximizing the Reduction Ability for Near-maximum Independent Set Computation. Proc. VLDB Endow. 13 (11) (2020)
Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng
Distributed Subgraph Counting: A General Approach. Proc. VLDB Endow. 13 (11) (2020)
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
Adversarial Attack on Community Detection by Hiding Individuals. CoRR (2020)
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. CoRR (2019)
Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, Lei Zou, Kangfei Zhao
Interactive natural language question answering over knowledge graphs. Inf. Sci. 481 (2019)
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
Predicting Path Failure In Time-Evolving Graphs. KDD (2019)
Weiguo Zheng, Chengzhi Piao, Hong Cheng, Jeffrey Xu Yu
Computing a Near-Maximum Independent Set in Dynamic Graphs. ICDE (2019)
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
Predicting Path Failure In Time-Evolving Graphs. CoRR (2019)
Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. CoRR (2019)
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. WWW (2019)
Yingfan Liu, Hao Wei, Hong Cheng
Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data. Inf. Sci. 465 (2018)
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng
TATC: Predicting Alzheimer's Disease with Actigraphy Data. KDD (2018)
Siyuan Zhang, Hong Cheng
Exploiting Context Graph Attention for POI Recommendation in Location-Based Social Networks. DASFAA (1) (2018)
Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang
Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. DASFAA (2) (2018)
Yuli Jiang, Xin Huang, Hong Cheng, Jeffrey Xu Yu
VizCS: Online Searching and Visualizing Communities in Dynamic Graphs. ICDE (2018)
Weiguo Zheng, Qichen Wang, Jeffrey Xu Yu, Hong Cheng, Lei Zou
Efficient Computation of a Near-Maximum Independent Set over Evolving Graphs. ICDE (2018)
Weiguo Zheng, Jeffrey Xu Yu, Lei Zou, Hong Cheng
Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition. Proc. VLDB Endow. 11 (11) (2018)
Qiankun Zhu, Hong Cheng, Xin Huang
I/O-efficient algorithms for top-k nearest keyword search in massive graphs. VLDB J. 26 (4) (2017)
Yuanyuan Zhu, Hao Zhang, Lu Qin, Hong Cheng
Efficient MapReduce algorithms for triangle listing in billion-scale graphs. Distributed Parallel Databases 35 (2) (2017)
Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou
Keyphrase Extraction Using Knowledge Graphs. Data Sci. Eng. 2 (4) (2017)
Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds. NIPS (2017)
Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao
Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. CIKM (2017)
Shaoxu Song, Boge Liu, Hong Cheng, Jeffrey Xu Yu, Lei Chen
Graph repairing under neighborhood constraints. VLDB J. 26 (5) (2017)
Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu
Efficient Local Clustering Coefficient Estimation in Massive Graphs. DASFAA (2) (2017)
Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou
Keyphrase Extraction Using Knowledge Graphs. APWeb/WAIM (1) (2017)
Miao Qiao, Hao Zhang, Hong Cheng
Subgraph Matching: on Compression and Computation. Proc. VLDB Endow. 11 (2) (2017)
Yihan Wang, Shaoxu Song, Lei Chen, Jeffrey Xu Yu, Hong Cheng
Discovering Conditional Matching Rules. ACM Trans. Knowl. Discov. Data 11 (4) (2017)
Yingfan Liu, Hong Cheng, Jiangtao Cui
PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. CIKM (2017)
Siyuan Zhang, Lu Qin, Yu Zheng, Hong Cheng
Effective and Efficient: Large-Scale Dynamic City Express. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
Zechao Shang, Feifei Li, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng
Graph Analytics Through Fine-Grained Parallelism. SIGMOD Conference (2016)
Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu
Efficient triangle listing for billion-scale graphs. IEEE BigData (2016)
Tianyi Lin, Siyuan Zhang, Hong Cheng
Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference. CIKM (2016)
Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng
Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition. IEEE Trans. Neural Networks Learn. Syst. 27 (12) (2016)
Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou
TRIP: An interactive retrieving-inferring data imputation approach. ICDE (2016)
Xin Huang, Hong Cheng, Jeffrey Xu Yu
Attributed Community Analysis: Global and Ego-centric Views. IEEE Data Eng. Bull. 39 (3) (2016)
Xiaofei Zhang, Hong Cheng, Lei Chen
Bonding Vertex Sets Over Distributed Graph: A Betweenness Aware Approach. Proc. VLDB Endow. 8 (12) (2015)
Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng
Approximate Closest Community Search in Networks. Proc. VLDB Endow. 9 (4) (2015)
Xin Huang, Hong Cheng, Jeffrey Xu Yu
Dense community detection in multi-valued attributed networks. Inf. Sci. 314 (2015)
Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu
Top-K structural diversity search in large networks. VLDB J. 24 (3) (2015)
Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng
Approximate Closest Community Search in Networks. CoRR (2015)
Yuanyuan Liu, Fanhua Shang, Licheng Jiao, James Cheng, Hong Cheng
Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data. IEEE Trans. Cybern. 45 (11) (2015)
Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning. CoRR (2015)
Jianbin Huang, Xuejun Huangfu, Heli Sun, Hui Li, Peixiang Zhao, Hong Cheng, Qinbao Song
Backward Path Growth for Efficient Mobile Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 27 (1) (2015)
Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou
TRIP: An Interactive Retrieving-Inferring Data Imputation Approach. IEEE Trans. Knowl. Data Eng. 27 (9) (2015)
Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
Robust bilinear factorization with missing and grossly corrupted observations. Inf. Sci. 307 (2015)
Siyuan Zhang, Lu Qin, Yu Zheng, Hong Cheng
Effective and efficient: large-scale dynamic city express. SIGSPATIAL/GIS (2015)
Shaoxu Song, Lei Chen, Hong Cheng
Efficient Determination of Distance Thresholds for Differential Dependencies. IEEE Trans. Knowl. Data Eng. 26 (9) (2014)
Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng
Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. UAI (2014)
Tianyi Lin, Wentao Tian, Qiaozhu Mei, Hong Cheng
The dual-sparse topic model: mining focused topics and focused terms in short text. WWW (2014)
Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
Random-walk domination in large graphs. ICDE (2014)
Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Zechao Shang
Measuring the impact of MVC attack in large complex networks. Inf. Sci. 278 (2014)
James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu
Efficient processing of k-hop reachability queries. VLDB J. 23 (2) (2014)
Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu
Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme. IEEE Trans. Knowl. Data Eng. 26 (1) (2014)
Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong
Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. SDM (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hong Cheng