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ORCIDCheng Long 0001
Person information
- affiliation: Nanyang Technological University, College of Computing and Data Science (CCDS), Singapore
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- Cheng Long — disambiguation page
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2020 – today
- 2025
[j54]Chenxi Liu
, Zhu Xiao, Cheng Long, Dong Wang, Tao Li, Hongbo Jiang:
MVCAR: Multi-View Collaborative Graph Network for Private Car Carbon Emission Prediction. IEEE Trans. Intell. Transp. Syst. 26(1): 472-483 (2025)- [j53]Kaijun Liu, Sijie Ruan, Cheng Long, Liang Yu:
Modeling On-road Trajectories with Multi-task Learning. ACM Trans. Knowl. Discov. Data 19(1): 24:1-24:26 (2025) - [j52]Shuliang Wang, Qianyu Yang, Sijie Ruan, Cheng Long, Ye Yuan, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng:
Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction. IEEE Trans. Knowl. Data Eng. 37(2): 936-950 (2025) - 2024
- [j51]Kaixin Wang, Kaiqiang Yu, Cheng Long:
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. Proc. ACM Manag. Data 2(1): 7:1-7:26 (2024) - [j50]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): 167 (2024) - [j49]Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long, Rui Zhang:
BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data. Proc. ACM Manag. Data 2(4): 194:1-194:27 (2024) - [j48]Yuexuan Xu, Jianyang Gao, Yutong Gou, Cheng Long, Christian S. Jensen:
iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search. Proc. ACM Manag. Data 2(6): 239:1-239:26 (2024) - [j47]Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu:
Billiards Sports Analytics: Datasets and Tasks. ACM Trans. Knowl. Discov. Data 18(9): 218:1-218:27 (2024) - [j46]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): 1582-1596 (2024) - [j45]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): 4678-4692 (2024) - [j44]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): 7259-7266 (2024) - [j43]Jie Zou, Aixin Sun, Cheng Long, Evangelos Kanoulas:
Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling. ACM Trans. Inf. Syst. 42(6): 162:1-162:27 (2024) - [c76]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: 1238-1246 - [c75]Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin:
Watermarking Recommender Systems. CIKM 2024: 3217-3226 - [c74]Qianxiong Xu, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao:
Eliminating Feature Ambiguity for Few-Shot Segmentation. ECCV (3) 2024: 416-433 - [c73]Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zelong Qiu:
On Searching Maximum Directed (k, 𝓁)-Plex. ICDE 2024: 2570-2583 - [c72]Zitan Sun, Xin Huang, Chengzhi Piao, Cheng Long, Jianliang Xu:
Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach. ICDE 2024: 3270-3282 - [c71]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: 4167-4179 - [c70]Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen:
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. ICDE 2024: 4383-4395 - [c69]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: 5405-5408 - [c68]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 - [c67]Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao:
Spatial-Temporal Large Language Model for Traffic Prediction. MDM 2024: 31-40 - [c66]Qianxiong Xu, Xuanyi Liu, Lanyun Zhu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao:
Hybrid Mamba for Few-Shot Segmentation. NeurIPS 2024 - [c65]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: 1483-1493 - [c64]Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long:
Defense Against Model Extraction Attacks on Recommender Systems. WSDM 2024: 949-957 - [i40]Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao:
Spatial-Temporal Large Language Model for Traffic Prediction. CoRR abs/2401.10134 (2024) - [i39]Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang:
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. CoRR abs/2402.03784 (2024) - [i38]Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long:
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR abs/2403.11495 (2024) - [i37]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 abs/2405.09592 (2024) - [i36]Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long:
Maximum k-Plex Search: An Alternated Reduction-and-Bound Method. CoRR abs/2406.00617 (2024) - [i35]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 abs/2406.01638 (2024) - [i34]Qianxiong Xu, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao:
Eliminating Feature Ambiguity for Few-Shot Segmentation. CoRR abs/2407.09842 (2024) - [i33]Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu:
Billiards Sports Analytics: Datasets and Tasks. CoRR abs/2407.19686 (2024) - [i32]Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin:
Watermarking Recommender Systems. CoRR abs/2407.21034 (2024) - [i31]Yuexuan Xu, Jianyang Gao, Yutong Gou, Cheng Long, Christian S. Jensen:
iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search. CoRR abs/2409.02571 (2024) - [i30]Jianyang Gao, Yutong Gou, Yuexuan Xu, Yongyi Yang, Cheng Long, Raymond Chi-Wing Wong:
Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search. CoRR abs/2409.09913 (2024) - [i29]Qianxiong Xu, Xuanyi Liu, Lanyun Zhu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao:
Hybrid Mamba for Few-Shot Segmentation. CoRR abs/2409.19613 (2024) - [i28]Mingrui Liu, Sixiao Zhang, Cheng Long:
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation. CoRR abs/2410.20142 (2024) - [i27]Mingrui Liu, Sixiao Zhang, Cheng Long:
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation. CoRR abs/2411.01457 (2024) - [i26]Yutong Gou, Jianyang Gao, Yuexuan Xu, Cheng Long:
SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search. CoRR abs/2411.12229 (2024) - [i25]Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin:
Data Watermarking for Sequential Recommender Systems. CoRR abs/2411.12989 (2024) - [i24]Jie Zou, Aixin Sun, Cheng Long, Evangelos Kanoulas:
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling. CoRR abs/2412.02415 (2024) - [i23]Kaixin Wang, Kaiqiang Yu, Cheng Long:
Maximal Clique Enumeration with Hybrid Branching and Early Termination. CoRR abs/2412.08218 (2024) - 2023
- [j42]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): 4-17 (2023) - [j41]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): 103176 (2023) - [j40]Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao:
HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. Inf. Sci. 640: 119065 (2023) - [j39]Kaiqiang Yu, Cheng Long:
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach. Proc. ACM Manag. Data 1(1): 49:1-49:26 (2023) - [j38]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): 63:1-63:26 (2023) - [j37]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): 74:1-74:26 (2023) - [j36]Jianyang Gao, Cheng Long:
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations. Proc. ACM Manag. Data 1(2): 137:1-137:27 (2023) - [j35]Kaiqiang Yu, Cheng Long:
Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach. Proc. ACM Manag. Data 1(3): 211:1-211:26 (2023) - [j34]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): 1201-1216 (2023) - [j33]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): 2158-2171 (2023) - [j32]Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang:
Road Extraction With Satellite Images and Partial Road Maps. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j31]Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao:
Summarizing User-item Matrix By Group Utility Maximization. ACM Trans. Knowl. Discov. Data 17(6): 86:1-86:22 (2023) - [j30]Liang Zhang, Cheng Long:
Road Network Representation Learning: A Dual Graph-based Approach. ACM Trans. Knowl. Discov. Data 17(9): 121:1-121:25 (2023) - [j29]Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery. IEEE Trans. Knowl. Data Eng. 35(1): 824-829 (2023) - [j28]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): 1324-1336 (2023) - [j27]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): 1528-1540 (2023) - [j26]Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu:
k-Pleased Querying. IEEE Trans. Knowl. Data Eng. 35(4): 4003-4017 (2023) - [j25]Zheng Wang, Cheng Long, Gao Cong:
Similar Sports Play Retrieval With Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4253-4266 (2023) - [j24]Liang Zhang, Cheng Long, Gao Cong:
Region Embedding With Intra and Inter-View Contrastive Learning. IEEE Trans. Knowl. Data Eng. 35(9): 9031-9036 (2023) - [j23]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): 10807-10813 (2023) - [c63]Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang:
Deep Graph Structural Infomax. AAAI 2023: 4920-4928 - [c62]Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long:
Self-Calibrated Cross Attention Network for Few-Shot Segmentation. ICCV 2023: 655-665 - [c61]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: 246-258 - [c60]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: 1084-1097 - [c59]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long:
Most Probable Densest Subgraphs. ICDE 2023: 1447-1460 - [c58]Zheng Wang, Fei Li, Cheng Long:
NeurSEG: A Segment Driven Deep Neural Model for Nested Named Entity Recognition. LGM3A@MM 2023: 7-14 - [c57]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: 9744-9745 - [e1]Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua:
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, LGM3A 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 [contents] - [i22]Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang:
Road Extraction with Satellite Images and Partial Road Maps. CoRR abs/2303.12394 (2023) - [i21]Kaiqiang Yu, Cheng Long:
Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach. CoRR abs/2305.14047 (2023) - [i20]Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing:
OpenSiteRec: An Open Dataset for Site Recommendation. CoRR abs/2307.00856 (2023) - [i19]Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long:
Self-Calibrated Cross Attention Network for Few-Shot Segmentation. CoRR abs/2308.09294 (2023) - [i18]Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long:
Defense Against Model Extraction Attacks on Recommender Systems. CoRR abs/2310.16335 (2023) - [i17]Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li:
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy. CoRR abs/2311.02565 (2023) - [i16]Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen:
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. CoRR abs/2311.11204 (2023) - [i15]Kaixin Wang, Kaiqiang Yu, Cheng Long:
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. CoRR abs/2311.13798 (2023) - 2022
- [j22]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: 4248-4263 (2022) - [j21]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): 1445-1461 (2022) - [j20]Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Pei Lv:
TriATNE: Tripartite Adversarial Training for Network Embeddings. IEEE Trans. Cybern. 52(9): 9634-9645 (2022) - [j19]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): 7:1-7:57 (2022) - [j18]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): 15:1-15:59 (2022) - [c56]Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao:
On Inferring User Socioeconomic Status with Mobility Records. IEEE Big Data 2022: 646-655 - [c55]Qianxiong Xu, Sijie Ruan, Cheng Long, Liang Yu, Chen Zhang:
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training. CIKM 2022: 2280-2289 - [c54]Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery (Extended abstract). ICDE 2022: 1483-1484 - [c53]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: 1505-1506 - [c52]Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu:
k-Pleased Querying (Extended Abstract). ICDE 2022: 1557-1558 - [c51]Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou:
Maximal Directed Quasi -Clique Mining. ICDE 2022: 1900-1913 - [c50]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: 3241-3253 - [c49]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: 5694-5701 - [c48]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: 3829-3837 - [c47]Ramneek Kaur, Vikram Goyal, Venkata M. V. Gunturi, Cheng Long:
A Matching Based Spatial Crowdsourcing Framework for Egalitarian Task Assignment. MDM 2022: 185-187 - [c46]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: 208-213 - [c45]Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu:
On Predicting and Generating a Good Break Shot in Billiards Sports. SDM 2022: 109-117 - [c44]Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long:
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. SIGIR 2022: 2319-2324 - [c43]Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan:
Efficient Algorithms for Maximal k-Biplex Enumeration. SIGMOD Conference 2022: 860-873 - [c42]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: 2472-2481 - [i14]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 abs/2202.13686 (2022) - [i13]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 abs/2205.11725 (2022) - [i12]Kaiqiang Yu, Cheng Long:
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach. CoRR abs/2208.13207 (2022) - [i11]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 abs/2211.06793 (2022) - [i10]Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao:
On Inferring User Socioeconomic Status with Mobility Records. CoRR abs/2211.08200 (2022) - [i9]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 abs/2211.08415 (2022) - [i8]Liang Zhang, Cheng Long, Gao Cong:
Region Embedding with Intra and Inter-View Contrastive Learning. CoRR abs/2211.08975 (2022) - [i7]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long:
Most Probable Densest Subgraphs. CoRR abs/2212.08820 (2022) - 2021
- [b1]Deepak P, Tanmoy Chakraborty, Cheng Long, Santhosh Kumar G:
Data Science for Fake News - Surveys and Perspectives. The Information Retrieval Series 42, Springer 2021, ISBN 978-3-030-62695-2, pp. 1-302 - [j17]Xiaoqian Ruan, Guosheng Lin, Cheng Long, Shengli Lu:
Few-shot fine-grained classification with Spatial Attentive Comparison. Knowl. Based Syst. 218: 106840 (2021) - [j16]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. Proc. VLDB Endow. 15(3): 504-512 (2021) - [j15]Ying Wan, Cheng Long, Ruilong Deng, Guanghui Wen, Xinghuo Yu:
Adaptive Event-Triggered Strategy for Economic Dispatch in Uncertain Communication Networks. IEEE Trans. Control. Netw. Syst. 8(4): 1881-1891 (2021) - [j14]Ying Wan, Cheng Long, Ruilong Deng, Guanghui Wen, Xinghuo Yu, Tingwen Huang:
Distributed Event-Based Control for Thermostatically Controlled Loads Under Hybrid Cyber Attacks. IEEE Trans. Cybern. 51(11): 5314-5327 (2021) - [c41]Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison:
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. CIKM 2021: 211-220 - [c40]Zheng Wang, Cheng Long, Gao Cong:
Trajectory Simplification with Reinforcement Learning. ICDE 2021: 684-695 - [c39]Pattaramanee Arsomngern, Cheng Long, Supasorn Suwajanakorn, Sarana Nutanong:
Self-Supervised Deep Metric Learning for Pointsets. ICDE 2021: 2171-2176 - [c38]Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou:
ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. ICDE 2021: 2499-2510 - [c37]Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao:
Summarizing User-Item Matrix By Group Utility Maximization. ICDM 2021: 1409-1414 - [c36]Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande:
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. IJCNN 2021: 1-8 - [c35]Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang:
Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning. KDD 2021: 1758-1768 - [c34]Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu:
Adaptive Holding for Online Bottleneck Matching with Delays. SDM 2021: 235-243 - [i6]Pan Xiong, Lei Tong, Kun Zhang, Xuhui Shen, Roberto Battiston, Dimitar Ouzounov, Roberto Iuppa, Danny Crookes, Cheng Long, Huiyu Zhou:
Towards advancing the earthquake forecasting by machine learning of satellite data. CoRR abs/2102.04334 (2021) - [i5]Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang:
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data. CoRR abs/2103.04541 (2021) - [i4]Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan:
Efficient Algorithms for Maximal k-Biplex Enumeration. CoRR abs/2112.14414 (2021) - 2020
- [j13]Cheng Long, Anhua Chen, Pakawadee Pengcharoen, Raymond Chi-Wing Wong:
On optimal preference diffusion over social networks. Inf. Syst. 88 (2020) - [j12]Zheng Wang, Cheng Long, Gao Cong, Yiding Liu:
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. Proc. VLDB Endow. 13(11): 2312-2325 (2020) - [j11]Pan Xiong, Cheng Long, Huiyu Zhou, Roberto Battiston, Xuemin Zhang, Xuhui Shen:
Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine Learning. Remote. Sens. 12(21): 3643 (2020) - [j10]Qidong Liu, Xin Zhou, Cheng Long, Jie Zhang, Mingliang Xu:
Learning Network Representations With Different Order Structural Information. IEEE Trans. Comput. Soc. Syst. 7(4): 907-914 (2020) - [j9]Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, Pan Hui:
On Nearby-Fit Spatial Keyword Queries. IEEE Trans. Knowl. Data Eng. 32(11): 2198-2212 (2020) - [c33]Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng:
Learning to Generate Maps from Trajectories. AAAI 2020: 890-897 - [c32]Yang Wu, Ada Wai-Chee Fu, Cheng Long, Zitong Chen:
LSimRank: Node Similarity in a Labeled Graph. APWeb/WAIM (1) 2020: 127-144 - [c31]Nan Xiao, Nan Hu, Liang Yu, Cheng Long:
Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach. CIKM 2020: 2837-2844 - [c30]Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li:
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. CIKM 2020: 2845-2852 - [c29]Siva Charan Reddy Gangireddy, Deepak P, Cheng Long, Tanmoy Chakraborty:
Unsupervised Fake News Detection: A Graph-based Approach. HT 2020: 75-83 - [c28]Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, Pan Hui:
On Nearby-Fit Spatial Keyword Queries (Extended Abstract). ICDE 2020: 2024-2025 - [c27]Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Dong Eui Chang:
Interaction-aware Kalman Neural Networks for Trajectory Prediction. IV 2020: 1793-1800 - [c26]Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng:
Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories. KDD 2020: 2813-2821 - [c25]Xingyao Wang, Da Yan, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan:
Lane Extraction and Quality Evaluation: A Hough Transform Based Approach. MIPR 2020: 7-12 - [c24]Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long:
Architecture-Intact Oracle for Fastest Path and Time Queries on Dynamic Spatial Networks. SIGMOD Conference 2020: 1841-1856 - [c23]Yile Chen, Cheng Long, Gao Cong, Chenliang Li:
Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM 2020: 106-114 - [i3]Zheng Wang, Cheng Long, Gao Cong, Yiding Liu:
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. CoRR abs/2003.02542 (2020)
2010 – 2019
- 2019
- [j8]Chunhua Yang, Longfei Zhou, Keke Huang, Hongquan Ji, Cheng Long, Xiaofang Chen, Yongfang Xie:
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process. Neurocomputing 332: 305-319 (2019) - [c22]Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long:
Class Indistinguishability for Outsourcing Equality Conjunction Search. CLOUD 2019: 253-270 - [c21]Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv:
Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach. ICDE 2019: 1478-1489 - [c20]Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong:
Fraction-Score: A New Support Measure for Co-location Pattern Mining. ICDE 2019: 1514-1525 - [c19]Harry Kai-Ho Chan, Cheng Long, Raymond Chi-Wing Wong:
On Generalizing Collective Spatial Keyword Queries (Extended Abstract). ICDE 2019: 2115-2116 - [c18]Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore:
Lightweight Fault Tolerance in Pregel-Like Systems. ICPP 2019: 69:1-69:10 - [c17]Zheng Wang, Cheng Long, Gao Cong, Ce Ju:
Effective and Efficient Sports Play Retrieval with Deep Representation Learning. KDD 2019: 499-509 - [i2]Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Gao Cong, Dong Eui Chang:
Interaction-aware Kalman Neural Networks for Trajectory Prediction. CoRR abs/1902.10928 (2019) - 2018
- [j7]Cheng Long, Raymond Chi-Wing Wong, Victor Junqiu Wei:
Profit Maximization with Sufficient Customer Satisfactions. ACM Trans. Knowl. Discov. Data 12(2): 19:1-19:34 (2018) - [j6]Harry Kai-Ho Chan, Cheng Long, Raymond Chi-Wing Wong:
On Generalizing Collective Spatial Keyword Queries. IEEE Trans. Knowl. Data Eng. 30(9): 1712-1726 (2018) - [c16]Carl Duffy, Deepak P, Cheng Long, M. Satish Kumar, Amit Thorat, Amaresh Dubey:
Fast Identification of Interesting Spatial Regions with Applications in Human Development Research. DEXA (2) 2018: 408-416 - [c15]Yang Wu, Cheng Long, Ada Wai-Chee Fu, Zitong Chen:
Counting Edges with Target Labels in Online Social Networks via Random Walk. EDBT 2018: 217-228 - [c14]Min Xie, Raymond Chi-Wing Wong, Jian Li, Cheng Long, Ashwin Lall:
Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality. SIGMOD Conference 2018: 959-974 - [r2]Cheng Long, Raymond Chi-Wing Wong:
Spatial Matching Problems. Encyclopedia of Database Systems (2nd ed.) 2018 - [i1]Zheng Wang, Ce Ju, Gao Cong, Cheng Long:
Representation Learning for Spatial Graphs. CoRR abs/1812.06668 (2018) - 2017
- [c13]Yang Wu, Cheng Long, Ada Wai-Chee Fu, Zitong Chen:
Counting Edges and Triangles in Online Social Networks via Random Walk. APWeb/WAIM (1) 2017: 346-361 - [c12]Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount:
Distance Oracle on Terrain Surface. SIGMOD Conference 2017: 1211-1226 - [c11]Harry Kai-Ho Chan, Cheng Long, Raymond Chi-Wing Wong:
Inherent-Cost Aware Collective Spatial Keyword Queries. SSTD 2017: 357-375 - [r1]Cheng Long, Raymond Chi-Wing Wong:
Optimal Worst-Case Matching. Encyclopedia of GIS 2017: 1511-1522 - 2015
- [j5]Zitong Chen, Yubao Liu, Raymond Chi-Wing Wong, Jiamin Xiong, Ganglin Mai, Cheng Long:
Optimal Location Queries in Road Networks. ACM Trans. Database Syst. 40(3): 17:1-17:41 (2015) - [c10]Cheng Long, Raymond Chi-Wing Wong, Raymond Ka Wai Sze:
Trend-MC: A Melody Composer by Constructing from Frequent Trend-Based Patterns. ICDM Workshops 2015: 1628-1631 - 2014
- [j4]Cheng Long, Raymond Chi-Wing Wong:
Viral marketing for dedicated customers. Inf. Syst. 46: 1-23 (2014) - [j3]Qi Wang, Manohar Kaul, Cheng Long, Raymond Chi-Wing Wong:
Terrain-Toolkit: A Multi-Functional Tool for Terrain Data. Proc. VLDB Endow. 7(13): 1645-1648 (2014) - [j2]Cheng Long, Raymond Chi-Wing Wong, H. V. Jagadish:
Trajectory Simplification: On Minimizing the Direction-based Error. Proc. VLDB Endow. 8(1): 49-60 (2014) - [c9]Cheng Long, Raymond Chi-Wing Wong:
Visual-VM: A Social Network Visualization Tool for Viral Marketing. ICDM Workshops 2014: 1223-1226 - [c8]Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li:
A New Framework for Traffic Anomaly Detection. SDM 2014: 875-883 - [c7]Cheng Long, Raymond Chi-Wing Wong, Bin Zhang, Min Xie:
Hypersphere dominance: an optimal approach. SIGMOD Conference 2014: 111-122 - [c6]Zitong Chen, Yubao Liu, Raymond Chi-Wing Wong, Jiamin Xiong, Ganglin Mai, Cheng Long:
Efficient algorithms for optimal location queries in road networks. SIGMOD Conference 2014: 123-134 - 2013
- [j1]Cheng Long, Raymond Chi-Wing Wong, H. V. Jagadish:
Direction-Preserving Trajectory Simplification. Proc. VLDB Endow. 6(10): 949-960 (2013) - [c5]Cheng Long, Raymond Chi-Wing Wong, Raymond Ka Wai Sze:
T-Music: A melody composer based on frequent pattern mining. ICDE 2013: 1332-1335 - [c4]Cheng Long, Raymond Chi-Wing Wong, Yu Peng, Liangliang Ye:
On Good and Fair Paper-Reviewer Assignment. ICDM 2013: 1145-1150 - [c3]Cheng Long, Raymond Chi-Wing Wong, Ke Wang, Ada Wai-Chee Fu:
Collective spatial keyword queries: a distance owner-driven approach. SIGMOD Conference 2013: 689-700 - [c2]Cheng Long, Raymond Chi-Wing Wong, Philip S. Yu, Minhao Jiang:
On optimal worst-case matching. SIGMOD Conference 2013: 845-856 - 2011
- [c1]Cheng Long, Raymond Chi-Wing Wong:
Minimizing Seed Set for Viral Marketing. ICDM 2011: 427-436
Coauthor Index
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