Cheng Long

236 papers A* 51A 13B 11C 1Journal 135Unranked 21
YearRankTypeTitle / Venue / Authors
2026 A* conf
Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models.
WWW
Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong
2026 J jnl
Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation.
CoRR
Mingrui Liu, Sixiao Zhang, Cheng Long
2026 A* conf
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation.
AAAI
Yeming Li, Chenxi Liu, Jie Zou, Cheng Long, Chaoning Zhang, Peng Wang, Yang Yang
2026 J jnl
GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search.
CoRR
Jifan Shi, Jianyang Gao, James Xia, Tamas B. Fehér, Cheng Long
2026 J jnl
How to Break It Down for Building It Up? Theory-Guided Graph Decomposition Learning for Spatiotemporal Traffic Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiahao Ji, Jingyuan Wang, Yu Mou, Cheng Long, Junjie Wu
2026 J jnl
Maximal Biclique Enumeration with Improved Worst-Case Time Complexity Guarantee: A Partition-Oriented Strategy.
CoRR
Kaixin Wang, Kaiqiang Yu, Cheng Long
2026 J jnl
RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse.
CoRR
Mingrui Liu, Sixiao Zhang, Cheng Long, Kwok-Yan Lam
2026 A* conf
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache.
AAAI
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Cheng Long, Jie Zhang
2026 J jnl
T-FSM: A Scalable Distributed Task-Based System for Frequent Subgraph Pattern Mining from a Big Graph.
ACM Trans. Database Syst.
Lyuheng Yuan, Da Yan, Dingwen Tao, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
2026 — conf
Wukong Framework for Not Safe For Work Detection in Text-to-Image Systems.
KDD (1)
Mingrui Liu, Sixiao Zhang, Cheng Long
2025 J jnl
A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs.
CoRR
Kethmi Hirushini Hettige, Jiahao Ji, Cheng Long, Shili Xiang, Gao Cong, Jingyuan Wang
2025 J jnl
A Survey on Multi-agent Reinforcement Learning for Adaptive Transportation Solutions.
SN Comput. Sci.
Jintao Liang, Xinqi Du, Yilin Liu, Ziyue Li, Haoyuan Jiang, Zhishuai Li, Cheng Long, Hua Wei, Wolfgang Ketter
2025 A* conf
AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction.
ICDE
Huaxu Han, Shuliang Wang, Sijie Ruan, Qianyu Yang, Yuxuan Liang, Ziqiang Yuan, Cheng Long, Hanning Yuan, Yu Zheng
2025 J jnl
BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing.
CoRR
Jiangneng Li, Yuang Liu, Zheng Wang, Gao Cong, Cheng Long, Walid G. Aref, Han Mao Kiah, Bin Cui
2025 B conf
Cold Start Point-of-Interest Representation Learning with Conditional Diffusion Model.
IJCNN
Liang Zhang, Sijie Ruan, Kaijun Liu, Cheng Long
2025 J jnl
DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph.
CoRR
Ziqi Yin, Jianyang Gao, Pasquale Balsebre, Gao Cong, Cheng Long
2025 J jnl
DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph.
Proc. ACM Manag. Data
Ziqi Yin, Jianyang Gao, Pasquale Balsebre, Gao Cong, Cheng Long
2025 — conf
Data Watermarking for Sequential Recommender Systems.
KDD (2)
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2025 J jnl
Efficient Maximum
Proc. ACM Manag. Data
Yang Liu, Hejiao Huang, Kaiqiang Yu, Shengxin Liu, Cheng Long
2025 A* conf
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
ICDE
Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao
2025 J jnl
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
CoRR
Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao
2025 J jnl
Efficient Size-Bounded Community Search, Revisited: Frameworks for Practical Improvements.
Proc. ACM Manag. Data
Yang Liu, Hejiao Huang, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zhaoquan Gu
2025 A* conf
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract).
ICDE
Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
2025 A conf
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation.
WSDM
Mingrui Liu, Sixiao Zhang, Cheng Long
2025 J jnl
Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach.
CoRR
Kaiqiang Yu, Kaixin Wang, Cheng Long, Laks V. S. Lakshmanan, Reynold Cheng
2025 J jnl
Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach.
Proc. ACM Manag. Data
Kaiqiang Yu, Kaixin Wang, Cheng Long, Laks V. S. Lakshmanan, Reynold Cheng
2025 J jnl
G-Thinkerq: A General Subgraph Querying System With a Unified Task-Based Programming Model.
IEEE Trans. Knowl. Data Eng.
Lyuheng Yuan, Guimu Guo, Dan Yan, Saugat Adhikari, Jalal Khalil, Cheng Long, Lei Zou
2025 A* conf
Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion.
ICML
Kaijun Liu, Sijie Ruan, Liang Zhang, Cheng Long, Shuliang Wang, Liang Yu
2025 A conf
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning.
WSDM
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang
2025 J jnl
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks.
CoRR
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Cheng Long
2025 A* conf
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.
AAAI
Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li
2025 B conf
LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions.
SSTD
Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis
2025 J jnl
LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions.
CoRR
Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis
2025 J jnl
MVCAR: Multi-View Collaborative Graph Network for Private Car Carbon Emission Prediction.
IEEE Trans. Intell. Transp. Syst.
Chenxi Liu, Zhu Xiao, Cheng Long, Dong Wang, Tao Li, Hongbo Jiang
2025 A* conf
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation.
WWW
Mingrui Liu, Sixiao Zhang, Cheng Long
2025 A* conf
Maximal Clique Enumeration with Hybrid Branching and Early Termination.
ICDE
Kaixin Wang, Kaiqiang Yu, Cheng Long
2025 — conf
Maximum Degree-Based Quasi-Clique Search via an Iterative Framework.
KDD (2)
Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou
2025 J jnl
Maximum Degree-Based Quasi-Clique Search via an Iterative Framework.
CoRR
Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou
2025 J jnl
Minimum $k$k-Vertex Connected Graph Search.
IEEE Trans. Knowl. Data Eng.
Yang Liu, Hejiao Huang, Kaiqiang Yu, Shengxin Liu, Cheng Long
2025 J jnl
Modeling On-road Trajectories with Multi-task Learning.
ACM Trans. Knowl. Discov. Data
Kaijun Liu, Sijie Ruan, Cheng Long, Liang Yu
2025 J jnl
On Mitigating Data Sparsity in Conversational Recommender Systems.
CoRR
Sixiao Zhang, Mingrui Liu, Cheng Long, Wei Yuan, Hongxu Chen, Xiangyu Zhao, Hongzhi Yin
2025 J jnl
On Searching and Querying Maximum Directed $(k,\ell )$(k,ℓ)-Plex.
IEEE Trans. Knowl. Data Eng.
Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou
2025 J jnl
Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search.
Proc. ACM Manag. Data
Jianyang Gao, Yutong Gou, Yuexuan Xu, Yongyi Yang, Cheng Long, Raymond Chi-Wing Wong
2025 J jnl
SAMITE: Position Prompted SAM2 with Calibrated Memory for Visual Object Tracking.
CoRR
Qianxiong Xu, Lanyun Zhu, Chenxi Liu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction.
IEEE Trans. Knowl. Data Eng.
Chenxi Liu, Kethmi Hirushini Hettige, Qianxiong Xu, Cheng Long, Shili Xiang, Gao Cong, Ziyue Li, Rui Zhao
2025 J jnl
Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics.
IEEE Trans. Mob. Comput.
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
2025 J jnl
Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction.
IEEE Trans. Knowl. Data Eng.
Shuliang Wang, Qianyu Yang, Sijie Ruan, Cheng Long, Ye Yuan, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng
2025 J jnl
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache.
CoRR
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Cheng Long, Jie Zhang
2025 J jnl
SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search.
Proc. ACM Manag. Data
Yutong Gou, Jianyang Gao, Yuexuan Xu, Cheng Long
2025 J jnl
Temporal
CoRR
Yinyu Liu, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zhaoquan Gu
2025 J jnl
The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning.
CoRR
Mingrui Liu, Sixiao Zhang, Cheng Long, Kwok-Yan Lam
2025 A* conf
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.
AAAI
Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao
2025 A* conf
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.
IJCAI
Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.
CoRR
Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao
2025 A* conf
Unlocking the Power of SAM 2 for Few-Shot Segmentation.
ICML
Qianxiong Xu, Lanyun Zhu, Xuanyi Liu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
Unlocking the Power of SAM 2 for Few-Shot Segmentation.
CoRR
Qianxiong Xu, Lanyun Zhu, Xuanyi Liu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
Wukong Framework for Not Safe For Work Detection in Text-to-Image systems.
CoRR
Mingrui Liu, Sixiao Zhang, Cheng Long
2024 A conf
2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
AAMAS
Qidong Liu, Chaoyue Liu, Shaoyao Niu, Cheng Long, Jie Zhang, Mingliang Xu
2024 J jnl
A Survey of Generative Techniques for Spatial-Temporal Data Mining.
CoRR
Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen
2024 A* conf
Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach.
ICDE
Zitan Sun, Xin Huang, Chengzhi Piao, Cheng Long, Jianliang Xu
2024 A* conf
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction.
ICLR
Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
2024 J jnl
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction.
CoRR
Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
2024 J jnl
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks.
IEEE Trans. Neural Networks Learn. Syst.
Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Dacheng Tao
2024 J jnl
BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data.
Proc. ACM Manag. Data
Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long, Rui Zhang
2024 J jnl
Billiards Sports Analytics: Datasets and Tasks.
CoRR
Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu
2024 J jnl
Billiards Sports Analytics: Datasets and Tasks.
ACM Trans. Knowl. Discov. Data
Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu
2024 A* conf
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach.
ICDE
Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
2024 J jnl
Data Watermarking for Sequential Recommender Systems.
CoRR
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024 A conf
Defense Against Model Extraction Attacks on Recommender Systems.
WSDM
Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
2024 J jnl
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy.
Proc. ACM Manag. Data
Kaixin Wang, Kaiqiang Yu, Cheng Long
2024 — conf
Eliminating Feature Ambiguity for Few-Shot Segmentation.
ECCV (3)
Qianxiong Xu, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
Eliminating Feature Ambiguity for Few-Shot Segmentation.
CoRR
Qianxiong Xu, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
2024 A* conf
FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph.
ICDE
Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
2024 J jnl
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation.
CoRR
Mingrui Liu, Sixiao Zhang, Cheng Long
2024 J jnl
Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining.
IEEE Trans. Knowl. Data Eng.
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong, Hua Lu
2024 J jnl
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning.
CoRR
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang
2024 J jnl
High-Dimensional Vector Quantization: General Framework, Recent Advances, and Future Directions.
IEEE Data Eng. Bull.
Jianyang Gao, Yutong Gou, Yuexuan Xu, Jifan Shi, Cheng Long, Raymond Chi-Wing Wong, Themis Palpanas
2024 A* conf
Hybrid Mamba for Few-Shot Segmentation.
NeurIPS
Qianxiong Xu, Xuanyi Liu, Lanyun Zhu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
Hybrid Mamba for Few-Shot Segmentation.
CoRR
Qianxiong Xu, Xuanyi Liu, Lanyun Zhu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling.
ACM Trans. Inf. Syst.
Jie Zou, Aixin Sun, Cheng Long, Evangelos Kanoulas
2024 J jnl
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling.
CoRR
Jie Zou, Aixin Sun, Cheng Long, Evangelos Kanoulas
2024 J jnl
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation.
CoRR
Mingrui Liu, Sixiao Zhang, Cheng Long
2024 J jnl
Maximal Clique Enumeration with Hybrid Branching and Early Termination.
CoRR
Kaixin Wang, Kaiqiang Yu, Cheng Long
2024 J jnl
Maximum
CoRR
Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long
2024 J jnl
Maximum k-Plex Search: An Alternated Reduction-and-Bound Method.
Proc. VLDB Endow.
Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long
2024 J jnl
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach.
IEEE Trans. Knowl. Data Eng.
Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount, Hanan Samet
2024 A* conf
On Searching Maximum Directed (k, 𝓁)-Plex.
ICDE
Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zelong Qiu
2024 A* conf
OpenSiteRec: An Open Dataset for Site Recommendation.
SIGIR
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
2024 J jnl
Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search.
CoRR
Jianyang Gao, Yutong Gou, Yuexuan Xu, Yongyi Yang, Cheng Long, Raymond Chi-Wing Wong
2024 J jnl
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search.
CoRR
Jianyang Gao, Cheng Long
2024 J jnl
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search.
Proc. ACM Manag. Data
Jianyang Gao, Cheng Long
2024 — conf
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach'.
SIGMOD/PODS
Hein Meling, Yue Gong, Kaiqiang Yu, Cheng Long
2024 J jnl
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics.
CoRR
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
2024 B conf
Spatial-Temporal Large Language Model for Traffic Prediction.
MDM
Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
Spatial-Temporal Large Language Model for Traffic Prediction.
CoRR
Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search.
CoRR
Yutong Gou, Jianyang Gao, Yuexuan Xu, Cheng Long
2024 J jnl
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.
CoRR
Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao
2024 A* conf
Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.
ICDE
Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng
2024 A conf
Watermarking Recommender Systems.
CIKM
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024 J jnl
Watermarking Recommender Systems.
CoRR
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024 J jnl
iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search.
CoRR
Yuexuan Xu, Jianyang Gao, Yutong Gou, Cheng Long, Christian S. Jensen
2024 J jnl
iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search.
Proc. ACM Manag. Data
Yuexuan Xu, Jianyang Gao, Yutong Gou, Cheng Long, Christian S. Jensen
2023 J jnl
A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull.
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
2023 J jnl
Asking Clarifying Questions: To benefit or to disturb users in Web search?
Inf. Process. Manag.
Jie Zou, Aixin Sun, Cheng Long, Mohammad Aliannejadi, Evangelos Kanoulas
2023 J jnl
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach.
CoRR
Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
2023 J jnl
Cost-Aware and Distance-Constrained Collective Spatial Keyword Query.
IEEE Trans. Knowl. Data Eng.
Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong
2023 A* conf
Deep Graph Structural Infomax.
AAAI
Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang
2023 J jnl
Defense Against Model Extraction Attacks on Recommender Systems.
CoRR
Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
2023 J jnl
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy.
CoRR
Kaixin Wang, Kaiqiang Yu, Cheng Long
2023 J jnl
Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach.
CoRR
Kaiqiang Yu, Cheng Long
2023 J jnl
Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach.
Proc. ACM Manag. Data
Kaiqiang Yu, Cheng Long
2023 J jnl
Filling Delivery Time Automatically Based on Couriers' Trajectories.
IEEE Trans. Knowl. Data Eng.
Sijie Ruan, Xi Fu, Cheng Long, Zi Xiong, Jie Bao, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng
2023 J jnl
HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control.
Inf. Sci.
Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao
2023 J jnl
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations.
CoRR
Jianyang Gao, Cheng Long
2023 J jnl
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations.
Proc. ACM Manag. Data
Jianyang Gao, Cheng Long
2023 J jnl
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.
CoRR
Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li
2023 A* conf
LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications.
ACM Multimedia
Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua
2023 J jnl
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach.
Proc. ACM Manag. Data
Kaiqiang Yu, Cheng Long
2023 A* conf
Most Probable Densest Subgraphs.
ICDE
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
2023 — conf
NeurSEG: A Segment Driven Deep Neural Model for Nested Named Entity Recognition.
LGM3A@MM
Zheng Wang, Fei Li, Cheng Long
2023 J jnl
On Efficient Large Maximal Biplex Discovery.
IEEE Trans. Knowl. Data Eng.
Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty
2023 A* conf
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.
ICDE
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2023 J jnl
OpenSiteRec: An Open Dataset for Site Recommendation.
CoRR
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing
2023 — ed.
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, LGM3A 2023, Ottawa ON, Canada, 2 November 2023
LGM3A@MM
Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua
2023 J jnl
Region Embedding With Intra and Inter-View Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Liang Zhang, Cheng Long, Gao Cong
2023 A* conf
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams.
ICDE
Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
2023 J jnl
Road Extraction With Satellite Images and Partial Road Maps.
IEEE Trans. Geosci. Remote. Sens.
Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang
2023 J jnl
Road Extraction with Satellite Images and Partial Road Maps.
CoRR
Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang
2023 J jnl
Road Network Representation Learning: A Dual Graph based Approach.
CoRR
Liang Zhang, Cheng Long
2023 J jnl
Road Network Representation Learning: A Dual Graph-based Approach.
ACM Trans. Knowl. Discov. Data
Liang Zhang, Cheng Long
2023 A* conf
Self-Calibrated Cross Attention Network for Few-Shot Segmentation.
ICCV
Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long
2023 J jnl
Self-Calibrated Cross Attention Network for Few-Shot Segmentation.
CoRR
Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long
2023 J jnl
Similar Sports Play Retrieval With Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Zheng Wang, Cheng Long, Gao Cong
2023 J jnl
Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach.
IEEE Trans. Knowl. Data Eng.
Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang, Xue-Ming Yuan
2023 J jnl
Summarizing User-item Matrix By Group Utility Maximization.
ACM Trans. Knowl. Discov. Data
Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao
2023 J jnl
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph.
Proc. ACM Manag. Data
Lyuheng Yuan, Da Yan, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang
2023 J jnl
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data.
Proc. ACM Manag. Data
Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
2023 J jnl
Towards Designing and Learning Piecewise Space-Filling Curves.
Proc. VLDB Endow.
Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui
2023 J jnl
Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Pattaramanee Arsomngern, Cheng Long, Supasorn Suwajanakorn, Sarana Nutanong
2023 J jnl
k-Pleased Querying.
IEEE Trans. Knowl. Data Eng.
Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu
2022 B conf
A Matching Based Spatial Crowdsourcing Framework for Egalitarian Task Assignment.
MDM
Ramneek Kaur, Vikram Goyal, Venkata M. V. Gunturi, Cheng Long
2022 A* conf
A Survey on Neural Open Information Extraction: Current Status and Future Directions.
IJCAI
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun
2022 J jnl
A Survey on Neural Open Information Extraction: Current Status and Future Directions.
CoRR
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun
2022 A* conf
Cost-Aware and Distance-Constrained Collective Spatial Keyword Query (Extended Abstract).
ICDE
Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong
2022 A* conf
Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories.
ICDE
Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui, Yu Zheng
2022 — conf
Efficient Algorithms for Maximal k-Biplex Enumeration.
SIGMOD Conference
Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan
2022 J jnl
GNSS TEC-Based Earthquake Ionospheric Perturbation Detection Using a Novel Deep Learning Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Pan Xiong, Cheng Long, Huiyu Zhou, Xuemin Zhang, Xuhui Shen
2022 A* conf
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling.
SIGIR
Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long
2022 A* conf
Maximal Directed Quasi -Clique Mining.
ICDE
Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
2022 J jnl
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach.
CoRR
Kaiqiang Yu, Cheng Long
2022 J jnl
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods.
ACM Trans. Database Syst.
Ji Cheng, Da Yan, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang
2022 B conf
Modeling Trajectories with Multi-task Learning.
MDM
Kaijun Liu, Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Xiao, Nan Hu, Liang Yu, Sinno Jialin Pan
2022 J jnl
Most Probable Densest Subgraphs.
CoRR
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
2022 A* conf
On Efficient Large Maximal Biplex Discovery (Extended abstract).
ICDE
Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty
2022 B conf
On Inferring User Socioeconomic Status with Mobility Records.
IEEE Big Data
Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao
2022 J jnl
On Inferring User Socioeconomic Status with Mobility Records.
CoRR
Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao
2022 A conf
On Predicting and Generating a Good Break Shot in Billiards Sports.
SDM
Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu
2022 J jnl
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.
CoRR
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2022 J jnl
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks.
CoRR
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
2022 A* conf
Prototype Feature Extraction for Multi-task Learning.
WWW
Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang
2022 J jnl
Proximity Queries on Terrain Surface.
ACM Trans. Database Syst.
Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount, Hanan Samet
2022 J jnl
Region Embedding with Intra and Inter-View Contrastive Learning.
CoRR
Liang Zhang, Cheng Long, Gao Cong
2022 J jnl
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams.
CoRR
Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
2022 A* conf
Service Time Prediction for Delivery Tasks via Spatial Meta-Learning.
KDD
Sijie Ruan, Cheng Long, Zhipeng Ma, Jie Bao, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng
2022 J jnl
Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases.
IEEE Trans. Cloud Comput.
Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long, Chunyan Miao
2022 A conf
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training.
CIKM
Qianxiong Xu, Sijie Ruan, Cheng Long, Liang Yu, Chen Zhang
2022 J jnl
TriATNE: Tripartite Adversarial Training for Network Embeddings.
IEEE Trans. Cybern.
Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Pei Lv
2022 A* conf
k-Pleased Querying (Extended Abstract).
ICDE
Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu
2021 A* conf
ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce.
ICDE
Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou
2021 J jnl
Adaptive Event-Triggered Strategy for Economic Dispatch in Uncertain Communication Networks.
IEEE Trans. Control. Netw. Syst.
Ying Wan, Cheng Long, Ruilong Deng, Guanghui Wen, Xinghuo Yu
2021 A conf
Adaptive Holding for Online Bottleneck Matching with Delays.
SDM
Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu
2021 — book
Data Science for Fake News - Surveys and Perspectives
Deepak P, Tanmoy Chakraborty, Cheng Long, Santhosh Kumar G
2021 J jnl
Distributed Event-Based Control for Thermostatically Controlled Loads Under Hybrid Cyber Attacks.
IEEE Trans. Cybern.
Ying Wan, Cheng Long, Ruilong Deng, Guanghui Wen, Xinghuo Yu, Tingwen Huang
2021 J jnl
Efficient Algorithms for Maximal k-Biplex Enumeration.
CoRR
Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan
2021 A* conf
Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning.
KDD
Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang
2021 J jnl
Few-shot fine-grained classification with Spatial Attentive Comparison.
Knowl. Based Syst.
Xiaoqian Ruan, Guosheng Lin, Cheng Long, Shengli Lu
2021 J jnl
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks.
Proc. VLDB Endow.
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
2021 B conf
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network.
IJCNN
Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande
2021 A conf
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics.
CIKM
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison
2021 A* conf
Self-Supervised Deep Metric Learning for Pointsets.
ICDE
Pattaramanee Arsomngern, Cheng Long, Supasorn Suwajanakorn, Sarana Nutanong
2021 A* conf
Summarizing User-Item Matrix By Group Utility Maximization.
ICDM
Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao
2021 J jnl
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data.
CoRR
Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
2021 J jnl
Towards advancing the earthquake forecasting by machine learning of satellite data.
CoRR
Pan Xiong, Lei Tong, Kun Zhang, Xuhui Shen, Roberto Battiston, Dimitar Ouzounov, Roberto Iuppa, Danny Crookes, Cheng Long, Huiyu Zhou
2021 A* conf
Trajectory Simplification with Reinforcement Learning.
ICDE
Zheng Wang, Cheng Long, Gao Cong
2020 — conf
Architecture-Intact Oracle for Fastest Path and Time Queries on Dynamic Spatial Networks.
SIGMOD Conference
Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long
2020 A conf
Context-aware Deep Model for Joint Mobility and Time Prediction.
WSDM
Yile Chen, Cheng Long, Gao Cong, Chenliang Li
2020 A* conf
Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories.
KDD
Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng
2020 J jnl
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning.
CoRR
Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
2020 J jnl
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning.
Proc. VLDB Endow.
Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
2020 A conf
Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach.
CIKM
Nan Xiao, Nan Hu, Liang Yu, Cheng Long
2020 J jnl
Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine Learning.
Remote. Sens.
Pan Xiong, Cheng Long, Huiyu Zhou, Roberto Battiston, Xuemin Zhang, Xuhui Shen
2020 C conf
Interaction-aware Kalman Neural Networks for Trajectory Prediction.
IV
Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Dong Eui Chang
2020 — conf
LSimRank: Node Similarity in a Labeled Graph.
APWeb/WAIM (1)
Yang Wu, Ada Wai-Chee Fu, Cheng Long, Zitong Chen
2020 — conf
Lane Extraction and Quality Evaluation: A Hough Transform Based Approach.
MIPR
Xingyao Wang, Da Yan, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan
2020 J jnl
Learning Network Representations With Different Order Structural Information.
IEEE Trans. Comput. Soc. Syst.
Qidong Liu, Xin Zhou, Cheng Long, Jie Zhang, Mingliang Xu
2020 A* conf
Learning to Generate Maps from Trajectories.
AAAI
Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng
2020 A conf
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion.
CIKM
Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li
2020 A* conf
On Nearby-Fit Spatial Keyword Queries (Extended Abstract).
ICDE
Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, Pan Hui
2020 J jnl
On Nearby-Fit Spatial Keyword Queries.
IEEE Trans. Knowl. Data Eng.
Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, Pan Hui
2020 J jnl
On optimal preference diffusion over social networks.
Inf. Syst.
Cheng Long, Anhua Chen, Pakawadee Pengcharoen, Raymond Chi-Wing Wong
2020 — conf
Unsupervised Fake News Detection: A Graph-based Approach.
HT
Siva Charan Reddy Gangireddy, Deepak P, Cheng Long, Tanmoy Chakraborty
2019 A* conf
Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach.
ICDE
Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv
2019 B conf
Class Indistinguishability for Outsourcing Equality Conjunction Search.
CLOUD
Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long
2019 A* conf
Effective and Efficient Sports Play Retrieval with Deep Representation Learning.
KDD
Zheng Wang, Cheng Long, Gao Cong, Ce Ju
2019 A* conf
Fraction-Score: A New Support Measure for Co-location Pattern Mining.
ICDE
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong
2019 J jnl
Interaction-aware Kalman Neural Networks for Trajectory Prediction.
CoRR
Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Dong Eui Chang
2019 B conf
Lightweight Fault Tolerance in Pregel-Like Systems.
ICPP
Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore
2019 J jnl
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process.
Neurocomputing
Chunhua Yang, Longfei Zhou, Keke Huang, Hongquan Ji, Cheng Long, Xiaofang Chen, Yongfang Xie
2019 A* conf
On Generalizing Collective Spatial Keyword Queries (Extended Abstract).
ICDE
Harry Kai-Ho Chan, Cheng Long, Raymond Chi-Wing Wong
2018 B conf
Counting Edges with Target Labels in Online Social Networks via Random Walk.
EDBT
Yang Wu, Cheng Long, Ada Wai-Chee Fu, Zitong Chen
2018 — conf
Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality.
SIGMOD Conference
Min Xie, Raymond Chi-Wing Wong, Jian Li, Cheng Long, Ashwin Lall
2018 — conf
Fast Identification of Interesting Spatial Regions with Applications in Human Development Research.
DEXA (2)
Carl Duffy, Deepak P, Cheng Long, M. Satish Kumar, Amit Thorat, Amaresh Dubey
2018 J jnl
On Generalizing Collective Spatial Keyword Queries.
IEEE Trans. Knowl. Data Eng.
Harry Kai-Ho Chan, Cheng Long, Raymond Chi-Wing Wong
2018 J jnl
Profit Maximization with Sufficient Customer Satisfactions.
ACM Trans. Knowl. Discov. Data
Cheng Long, Raymond Chi-Wing Wong, Victor Junqiu Wei
2018 J jnl
Representation Learning for Spatial Graphs.
CoRR
Zheng Wang, Ce Ju, Gao Cong, Cheng Long
2018 — ch.
Spatial Matching Problems.
Encyclopedia of Database Systems (2nd ed.)
Cheng Long, Raymond Chi-Wing Wong
2017 — conf
Counting Edges and Triangles in Online Social Networks via Random Walk.
APWeb/WAIM (1)
Yang Wu, Cheng Long, Ada Wai-Chee Fu, Zitong Chen
2017 — conf
Distance Oracle on Terrain Surface.
SIGMOD Conference
Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount
2017 B conf
Inherent-Cost Aware Collective Spatial Keyword Queries.
SSTD
Harry Kai-Ho Chan, Cheng Long, Raymond Chi-Wing Wong
2017 — ch.
Optimal Worst-Case Matching.
Encyclopedia of GIS
Cheng Long, Raymond Chi-Wing Wong
2015 J jnl
Optimal Location Queries in Road Networks.
ACM Trans. Database Syst.
Zitong Chen, Yubao Liu, Raymond Chi-Wing Wong, Jiamin Xiong, Ganglin Mai, Cheng Long
2015 — conf
Trend-MC: A Melody Composer by Constructing from Frequent Trend-Based Patterns.
ICDM Workshops
Cheng Long, Raymond Chi-Wing Wong, Raymond Ka Wai Sze
2014 A conf
A New Framework for Traffic Anomaly Detection.
SDM
Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li
2014 — conf
Efficient algorithms for optimal location queries in road networks.
SIGMOD Conference
Zitong Chen, Yubao Liu, Raymond Chi-Wing Wong, Jiamin Xiong, Ganglin Mai, Cheng Long
2014 — conf
Hypersphere dominance: an optimal approach.
SIGMOD Conference
Cheng Long, Raymond Chi-Wing Wong, Bin Zhang, Min Xie
2014 J jnl
Terrain-Toolkit: A Multi-Functional Tool for Terrain Data.
Proc. VLDB Endow.
Qi Wang, Manohar Kaul, Cheng Long, Raymond Chi-Wing Wong
2014 J jnl
Trajectory Simplification: On Minimizing the Direction-based Error.
Proc. VLDB Endow.
Cheng Long, Raymond Chi-Wing Wong, H. V. Jagadish
2014 J jnl
Viral marketing for dedicated customers.
Inf. Syst.
Cheng Long, Raymond Chi-Wing Wong
2014 — conf
Visual-VM: A Social Network Visualization Tool for Viral Marketing.
ICDM Workshops
Cheng Long, Raymond Chi-Wing Wong
2013 — conf
Collective spatial keyword queries: a distance owner-driven approach.
SIGMOD Conference
Cheng Long, Raymond Chi-Wing Wong, Ke Wang, Ada Wai-Chee Fu
2013 J jnl
Direction-Preserving Trajectory Simplification.
Proc. VLDB Endow.
Cheng Long, Raymond Chi-Wing Wong, H. V. Jagadish
2013 A* conf
On Good and Fair Paper-Reviewer Assignment.
ICDM
Cheng Long, Raymond Chi-Wing Wong, Yu Peng, Liangliang Ye
2013 — conf
On optimal worst-case matching.
SIGMOD Conference
Cheng Long, Raymond Chi-Wing Wong, Philip S. Yu, Minhao Jiang
2013 A* conf
T-Music: A melody composer based on frequent pattern mining.
ICDE
Cheng Long, Raymond Chi-Wing Wong, Raymond Ka Wai Sze
2011 A* conf
Minimizing Seed Set for Viral Marketing.
ICDM
Cheng Long, Raymond Chi-Wing Wong