Cheng Long

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 151

Top Venues

CoRR

ICDE

IEEE Trans. Knowl. Data Eng.

Proc. ACM Manag. Data

Publications

Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. ICDE (2024)
Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment. CoRR (2024)
Cheng Long, Adrian Barbu
A Study of Shape Modeling Against Noise. CoRR (2024)
Jian Zhang, Cheng Long, Hua Zhang, Qi Zeng, Yiwen Gao, Xueneng Su, Shilong Li
Design and Analysis of Reliable Current Differential Protection Through Improved Power-Line Communication. IEEE Access 12 (2024)
Zitan Sun, Xin Huang, Chengzhi Piao, Cheng Long, Jianliang Xu
Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach. ICDE (2024)
Kaixin Wang, Kaiqiang Yu, Cheng Long
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. Proc. ACM Manag. Data 2 (1) (2024)
Jiaquan Duan, Yue'e Cao, Shulin Yu, Xuening Fang, Renqiang Li, Zhen Xu, Cheng Long, Jichun Wang, Pan Wang
Incorporating Bioclimatic Zones into Informing Ecological Networks for Better Biodiversity Conservation. Remote. Sens. 16 (1) (2024)
Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao
Spatial-Temporal Large Language Model for Traffic Prediction. MDM (2024)
Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Dacheng Tao
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
Watermarking Recommender Systems. CoRR (2024)
Qidong Liu, Chaoyue Liu, Shaoyao Niu, Cheng Long, Jie Zhang, Mingliang Xu
2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem. AAMAS (2024)
Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
Defense Against Model Extraction Attacks on Recommender Systems. WSDM (2024)
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning. CoRR (2024)
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
OpenSiteRec: An Open Dataset for Site Recommendation. SIGIR (2024)
Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu
Billiards Sports Analytics: Datasets and Tasks. CoRR (2024)
Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. ICLR (2024)
Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng
Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning. ICDE (2024)
Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. CoRR (2024)
Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long
-Plex Search: An Alternated Reduction-and-Bound Method. CoRR (2024)
Jianyang Gao, Cheng Long
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search. Proc. ACM Manag. Data 2 (3) (2024)
Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. ICDE (2024)
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong, Hua Lu
Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen
A Survey of Generative Techniques for Spatial-Temporal Data Mining. CoRR (2024)
Qianxiong Xu, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao
Eliminating Feature Ambiguity for Few-Shot Segmentation. CoRR (2024)
Jianyang Gao, Cheng Long
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search. CoRR (2024)
Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao
Spatial-Temporal Large Language Model for Traffic Prediction. CoRR (2024)
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR (2024)
Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zelong Qiu
On Searching Maximum Directed (k, 𝓁)-Plex. ICDE (2024)
Jianyang Gao, Cheng Long
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations. Proc. ACM Manag. Data 1 (2) (2023)
Sijie Ruan, Xi Fu, Cheng Long, Zi Xiong, Jie Bao, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng
Filling Delivery Time Automatically Based on Couriers' Trajectories. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing
OpenSiteRec: An Open Dataset for Site Recommendation. CoRR (2023)
Liang Zhang, Cheng Long
Road Network Representation Learning: A Dual Graph-based Approach. ACM Trans. Knowl. Discov. Data 17 (9) (2023)
Zheng Wang, Cheng Long, Gao Cong
Similar Sports Play Retrieval With Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Kaiqiang Yu, Cheng Long
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach. Proc. ACM Manag. Data 1 (1) (2023)
Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua
LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications. ACM Multimedia (2023)
Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao
HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. Inf. Sci. 640 (2023)
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46 (4) (2023)
Jiahao Ji, Jingyuan Wang, Yu Mou, Cheng Long
Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning. CoRR (2023)
Jie Zou, Aixin Sun, Cheng Long, Mohammad Aliannejadi, Evangelos Kanoulas
Asking Clarifying Questions: To benefit or to disturb users in Web search? Inf. Process. Manag. 60 (2) (2023)
Kaiqiang Yu, Cheng Long
Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach. Proc. ACM Manag. Data 1 (3) (2023)
Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long
Self-Calibrated Cross Attention Network for Few-Shot Segmentation. CoRR (2023)
Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
Defense Against Model Extraction Attacks on Recommender Systems. CoRR (2023)
Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang, Xue-Ming Yuan
Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang
Road Extraction With Satellite Images and Partial Road Maps. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. CoRR (2023)
Liang Zhang, Cheng Long, Gao Cong
Region Embedding With Intra and Inter-View Contrastive Learning. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Hua Zhang, Xueneng Su, Xin Ning, Zhenyuan Zhang, Jian Zhang, Yiwen Gao, Cheng Long, Shilong Li, Rui Zhang
A Novel Practical Criteria in Detecting High Impedance Earth Faults Based on Single-Phase PT Isolated Distribution System. IAS (2023)
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
Most Probable Densest Subgraphs. ICDE (2023)
Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang
Road Extraction with Satellite Images and Partial Road Maps. CoRR (2023)
Zheng Wang, Fei Li, Cheng Long
NeurSEG: A Segment Driven Deep Neural Model for Nested Named Entity Recognition. LGM3A@MM (2023)
Pattaramanee Arsomngern, Cheng Long, Supasorn Suwajanakorn, Sarana Nutanong
Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. ICDE (2023)
Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy. CoRR (2023)
Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu
k-Pleased Querying. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang
Deep Graph Structural Infomax. AAAI (2023)
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. ICDE (2023)
Jianyang Gao, Cheng Long
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations. CoRR (2023)
Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty
On Efficient Large Maximal Biplex Discovery. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui
Towards Designing and Learning Piecewise Space-Filling Curves. Proc. VLDB Endow. 16 (9) (2023)
Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data. Proc. ACM Manag. Data 1 (1) (2023)
Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao
Summarizing User-item Matrix By Group Utility Maximization. ACM Trans. Knowl. Discov. Data 17 (6) (2023)
Liang Zhang, Cheng Long
Road Network Representation Learning: A Dual Graph based Approach. CoRR (2023)
Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong
Cost-Aware and Distance-Constrained Collective Spatial Keyword Query. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long
Self-Calibrated Cross Attention Network for Few-Shot Segmentation. ICCV (2023)
Kaiqiang Yu, Cheng Long
Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach. CoRR (2023)
Kaixin Wang, Kaiqiang Yu, Cheng Long
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. CoRR (2023)
Lyuheng Yuan, Da Yan, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph. Proc. ACM Manag. Data 1 (1) (2023)
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. CoRR (2022)
Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao
On Inferring User Socioeconomic Status with Mobility Records. Big Data (2022)
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
Most Probable Densest Subgraphs. CoRR (2022)
Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu
k-Pleased Querying (Extended Abstract). ICDE (2022)
Pan Xiong, Cheng Long, Huiyu Zhou, Xuemin Zhang, Xuhui Shen
GNSS TEC-Based Earthquake Ionospheric Perturbation Detection Using a Novel Deep Learning Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun
A Survey on Neural Open Information Extraction: Current Status and Future Directions. IJCAI (2022)
Cong Wu, Cheng Long, Shijun Li, Junjie Yang, Fagang Jiang, Ran Zhou
MSRAformer: Multiscale spatial reverse attention network for polyp segmentation. Comput. Biol. Medicine 151 (Part) (2022)
Qianxiong Xu, Sijie Ruan, Cheng Long, Liang Yu, Chen Zhang
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training. CIKM (2022)
Kaiqiang Yu, Cheng Long
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach. CoRR (2022)
Ramneek Kaur, Vikram Goyal, Venkata M. V. Gunturi, Cheng Long
A Matching Based Spatial Crowdsourcing Framework for Egalitarian Task Assignment. MDM (2022)
Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount, Hanan Samet
Proximity Queries on Terrain Surface. ACM Trans. Database Syst. 47 (4) (2022)
Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan
Efficient Algorithms for Maximal k-Biplex Enumeration. SIGMOD Conference (2022)
Sijie Ruan, Cheng Long, Zhipeng Ma, Jie Bao, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng
Service Time Prediction for Delivery Tasks via Spatial Meta-Learning. KDD (2022)
Kaijun Liu, Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Xiao, Nan Hu, Liang Yu, Sinno Jialin Pan
Modeling Trajectories with Multi-task Learning. MDM (2022)
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. CoRR (2022)
Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu
On Predicting and Generating a Good Break Shot in Billiards Sports. SDM (2022)
Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty
On Efficient Large Maximal Biplex Discovery (Extended abstract). ICDE (2022)
Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang
Prototype Feature Extraction for Multi-task Learning. WWW (2022)
Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. CoRR (2022)
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun
A Survey on Neural Open Information Extraction: Current Status and Future Directions. CoRR (2022)
Ji Cheng, Da Yan, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods. ACM Trans. Database Syst. 47 (2) (2022)
Cheng Long, Adrian Barbu
A Study of Shape Modeling Against Noise. ICIP (2022)
Liang Zhang, Cheng Long, Gao Cong
Region Embedding with Intra and Inter-View Contrastive Learning. CoRR (2022)
Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. SIGIR (2022)
Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao
On Inferring User Socioeconomic Status with Mobility Records. CoRR (2022)
Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui, Yu Zheng
Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories. ICDE (2022)
Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long, Chunyan Miao
Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases. IEEE Trans. Cloud Comput. 10 (2) (2022)
Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang
Multi-scale Progressive Gated Transformer for Physiological Signal Classification. ACML (2022)
Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
Maximal Directed Quasi -Clique Mining. ICDE (2022)
Qi-dong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Pei Lv
TriATNE: Tripartite Adversarial Training for Network Embeddings. IEEE Trans. Cybern. 52 (9) (2022)
Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong
Cost-Aware and Distance-Constrained Collective Spatial Keyword Query (Extended Abstract). ICDE (2022)
Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. IJCNN (2021)

Cheng Long.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Cheng Long