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2024
[j53]
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Shuo Shang, Bingsheng He, Lizhe Wang:
Introduction to distributed and parallel processing of big spatiotemporal data. Future Gener. Comput. Syst. 151: 98-99 (2024)
[j52]
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Junjie Zhang, Jie Yu, Shuo Shang, Lisi Chen, Shanshan Feng:
Continuous frequent contact detection over moving objects. GeoInformatica 28(2): 271-290 (2024)
[j51]
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Hongyu Wang, Ke Li, Shuo Shang:
DLRD: dual-level network for rumor detection on geo-textual data. GeoInformatica 28(2): 335-351 (2024)
[j50]
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Jiangfeng Du, Silin Zhou, Jie Yu, Peng Han, Shuo Shang:
Cross-Task Multimodal Reinforcement for Long Tail Next POI Recommendation. IEEE Trans. Multim. 26: 1996-2005 (2024)
[c76]
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Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang:
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. AAAI 2024: 8311-8319
[c75]
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  - conf/acl/DengXSLT0L000S24
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Shihan Deng, Weikai Xu, Hongda Sun, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Rui Yan, Shuo Shang:
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents. ACL (1) 2024: 8813-8831
[c74]
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Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan:
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy. ACL (1) 2024: 9828-9862
[c73]
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Quan Tu, Shilong Fan, Zihang Tian, Tianhao Shen, Shuo Shang, Xin Gao, Rui Yan:
CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation. ACL (1) 2024: 11836-11850
[c72]
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Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Shuo Shang, Zhiliang Tian, Minlie Huang:
360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System. ACL (Findings) 2024: 13149-13162
[c71]
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Haiyan Wang, Shanshan Feng, Lisi Chen, Yang Liu, Shuo Shang:
Simulating Individual Infection Risk over Big Trajectory Data. DASFAA (1) 2024: 136-151
[c70]
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Chenhao Wang, Lisi Chen, Shanshan Feng, Shuo Shang:
Flexible Contact Correlation Learning on Spatio-Temporal Trajectories. DASFAA (1) 2024: 152-168
[c69]
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  - conf/emnlp/ChengT0SM0024
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Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan:
"In-Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning. EMNLP 2024: 10408-10422
[c68]
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Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong:
ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation. KDD 2024: 759-770
[c67]
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Chenhao Wang, Lisi Chen, Shuo Shang, Christian S. Jensen, Panos Kalnis:
Multi-Scale Detection of Anomalous Spatio-Temporal Trajectories in Evolving Trajectory Datasets. KDD 2024: 2980-2990
[c66]
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Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan:
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering. WWW 2024: 4372-4382
[i19]
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  - journals/corr/abs-2403-00832
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Yang Cao, Shuo Shang, Jun Wang, Wei Zhang:
Explainable Session-based Recommendation via Path Reasoning. CoRR abs/2403.00832 (2024)
[i18]
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  - journals/corr/abs-2403-02181
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Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang, Zhongyuan Wang:
Not all Layers of LLMs are Necessary during Inference. CoRR abs/2403.02181 (2024)
[i17]
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  - journals/corr/abs-2403-03102
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Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan:
"In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning. CoRR abs/2403.03102 (2024)
[i16]
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  - journals/corr/abs-2403-05217
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Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan:
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering. CoRR abs/2403.05217 (2024)
[i15]
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  - journals/corr/abs-2404-05569
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Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Zhiliang Tian, Minlie Huang, Shuo Shang:
360{\deg}REA: Towards A Reusable Experience Accumulation with 360{\deg} Assessment for Multi-Agent System. CoRR abs/2404.05569 (2024)
[i14]
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  - journals/corr/abs-2404-06311
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Shen Gao, Yifan Wang, Jiabao Fang, Lisi Chen, Peng Han, Shuo Shang:
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level. CoRR abs/2404.06311 (2024)
[i13]
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  - journals/corr/abs-2405-18113
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Hongda Sun, Hongzhan Lin, Haiyu Yan, Chen Zhu, Yang Song, Xin Gao, Shuo Shang, Rui Yan:
Facilitating Multi-Role and Multi-Behavior Collaboration of Large Language Models for Online Job Seeking and Recruiting. CoRR abs/2405.18113 (2024)
[i12]
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  - journals/corr/abs-2406-19966
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Shen Gao, Yuntao Wen, Minghang Zhu, Jianing Wei, Yuhan Cheng, Qunzi Zhang, Shuo Shang:
Simulating Financial Market via Large Language Model based Agents. CoRR abs/2406.19966 (2024)
[i11]
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  - journals/corr/abs-2407-00993
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Shihan Deng, Weikai Xu, Hongda Sun, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Rui Yan, Shuo Shang:
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents. CoRR abs/2407.00993 (2024)
[i10]
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  - journals/corr/abs-2407-03007
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Chengrui Huang, Zhengliang Shi, Yuntao Wen, Xiuying Chen, Peng Han, Shen Gao, Shuo Shang:
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks. CoRR abs/2407.03007 (2024)
[i9]
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  - journals/corr/abs-2409-14818
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Qinzhuo Wu, Weikai Xu, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Shuo Shang:
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding. CoRR abs/2409.14818 (2024)
2023
[j49]
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  - journals/dase/HanZYXCS23
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Peng Han, Silin Zhou, Jie Yu, Zichen Xu, Lisi Chen, Shuo Shang:
Personalized Re-ranking for Recommendation with Mask Pretraining. Data Sci. Eng. 8(4): 357-367 (2023)
[j48]
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  - journals/nca/ShangSWK23
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Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis:
Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. 35(5): 3585-3586 (2023)
[j47]
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  - journals/tkde/LiHRHCS23
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Jing Li, Peng Han, Xiangnan Ren, Jilin Hu, Lisi Chen, Shuo Shang:
Sequence Labeling With Meta-Learning. IEEE Trans. Knowl. Data Eng. 35(3): 3072-3086 (2023)
[j46]
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  - journals/tkde/YangCWSMZ23
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Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang, Rui Mao, Xiangliang Zhang:
Dynamic Set Similarity Join: An Update Log Based Approach. IEEE Trans. Knowl. Data Eng. 35(4): 3727-3741 (2023)
[j45]
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Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao:
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. 35(9): 9140-9153 (2023)
[j44]
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Ziwen Chen, Ke Li, Silin Zhou, Lisi Chen, Shuo Shang:
Towards robust trajectory similarity computation: Representation-based spatio-temporal similarity quantification. World Wide Web (WWW) 26(4): 1271-1294 (2023)
[j43]
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Shuo Shang, Xiangliang Zhang, Panos Kalnis:
Spatiotemporal data management and analytics for recommender systems. World Wide Web (WWW) 26(5): 2395-2397 (2023)
[j42]
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  - journals/www/FanWPCHS23
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Siqi Fan, Yequan Wang, Xiaobing Pang, Lisi Chen, Peng Han, Shuo Shang:
UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining. World Wide Web (WWW) 26(6): 4109-4129 (2023)
[c65]
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  - conf/aaai/Yin00CS023
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Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han:
Next POI Recommendation with Dynamic Graph and Explicit Dependency. AAAI 2023: 4827-4834
[c64]
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  - conf/aaai/Zhou0WS023
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Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han:
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM. AAAI 2023: 4972-4980
[c63]
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Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han:
Heterogeneous Region Embedding with Prompt Learning. AAAI 2023: 4981-4989
[c62]
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Xiaobing Pang, Yequan Wang, Siqi Fan, Lisi Chen, Shuo Shang, Peng Han:
EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation. WWW 2023: 1754-1764
[i8]
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  - journals/corr/abs-2308-10278
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Quan Tu, Chuanqi Chen, Jinpeng Li, Yanran Li, Shuo Shang, Dongyan Zhao, Ran Wang, Rui Yan:
CharacterChat: Learning towards Conversational AI with Personalized Social Support. CoRR abs/2308.10278 (2023)
[i7]
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  - journals/corr/abs-2308-16385
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Qiang Huang, Jiawei Jiang, Susie Xi Rao, Ce Zhang, Zhichao Han, Zitao Zhang, Xin Wang, Yongjun He, Quanqing Xu, Yang Zhao, Chuang Hu, Shuo Shang, Bo Du:
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks. CoRR abs/2308.16385 (2023)
[i6]
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  - journals/corr/abs-2310-15523
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Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. CoRR abs/2310.15523 (2023)
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  - journals/corr/abs-2310-18659
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Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan:
From Indeterminacy to Determinacy: Augmenting Logical Reasoning Capabilities with Large Language Models. CoRR abs/2310.18659 (2023)
2022
[j41]
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Jing Li, Billy Chiu, Shuo Shang, Ling Shao:
Neural Text Segmentation and its Application to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 34(2): 828-842 (2022)
[j40]
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Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang:
Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. 34(11): 5484-5495 (2022)
[c61]
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  - conf/aaai/0005ZLHWSY022
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Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang:
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI 2022: 4014-4021
[c60]
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Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao:
Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects. IJCAI 2022: 3891-3897
[c59]
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Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han:
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting. IJCAI 2022: 3926-3932
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Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han:
Interactive Information Extraction by Semantic Information Graph. IJCAI 2022: 4100-4106
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Dachuan Liu, Jin Wang, Shuo Shang, Peng Han:
MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting. KDD 2022: 1042-1050
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Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han:
Graph-Flashback Network for Next Location Recommendation. KDD 2022: 1463-1471
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Peng Han, Shuo Shang:
Scene Re-ranking for Recommendation. MMSP 2022: 1-6
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Silin Zhou, Junjie Zhang, Lisi Chen, Shuo Shang:
Multiple Behaviors Recommendation with Graph Learning. MMSP 2022: 1-6
2021
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Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis:
Deep understanding of big geospatial data for self-driving cars. Neurocomputing 428: 308-309 (2021)
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Zhongpu Chen, Bin Yao, Zhi-Jie Wang, Xiaofeng Gao, Shuo Shang, Shuai Ma, Minyi Guo:
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks. IEEE Trans. Knowl. Data Eng. 33(12): 3701-3715 (2021)
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Jing Li, Shuo Shang, Lisi Chen:
Domain Generalization for Named Entity Boundary Detection via Metalearning. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3819-3830 (2021)
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Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Internal and external memory set containment join. VLDB J. 30(3): 447-470 (2021)
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Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Correction to: Internal and external memory set containment join. VLDB J. 30(5): 907 (2021)
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Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang:
Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage. AAAI 2021: 689-696
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Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Fan Li, Shuo Shang:
Node2LV: Squared Lorentzian Representations for Node Proximity. ICDE 2021: 2015-2020
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Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis:
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. IJCAI 2021: 3613-3619
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Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao:
Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams. IJCAI 2021: 3656-3662
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Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang:
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. KDD 2021: 556-564
2020
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Shuo Shang, Kai Zheng, Panos Kalnis:
Introduction to spatio-temporal data driven urban computing. Distributed Parallel Databases 38(3): 561-562 (2020)
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Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis:
Introduction to Spatio-temporal data management and analytics for Smart City research. GeoInformatica 24(1): 1-2 (2020)
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Lisi Chen, Shuo Shang, Chengcheng Yang, Jing Li:
Spatial keyword search: a survey. GeoInformatica 24(1): 85-106 (2020)
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Xiaofeng Zhu, Shuo Shang, Minjeong Kim:
Privacy-preserving representation learning for big data. Neurocomputing 406: 293-294 (2020)
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Lisi Chen, Shuo Shang, Christian S. Jensen, Jianliang Xu, Panos Kalnis, Bin Yao, Ling Shao:
Top-k term publish/subscribe for geo-textual data streams. VLDB J. 29(5): 1101-1128 (2020)
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Lisi Chen, Shuo Shang, Tao Guo:
Real-Time Route Search by Locations. AAAI 2020: 574-581
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Lisi Chen, Shuo Shang, Bin Yao, Jing Li:
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks. AAAI 2020: 582-589
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Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Panos Kalnis:
Parallel Semantic Trajectory Similarity Join. ICDE 2020: 997-1008
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Chengcheng Yang, Dong Deng, Shuo Shang, Ling Shao:
Efficient Locality-Sensitive Hashing Over High-Dimensional Data Streams. ICDE 2020: 1986-1989
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Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang:
Contextualized Point-of-Interest Recommendation. IJCAI 2020: 2484-2490
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Ke Li, Lisi Chen, Shuo Shang:
Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips. IJCAI 2020: 3400-3406
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Jing Li, Shuo Shang, Ling Shao:
MetaNER: Named Entity Recognition with Meta-Learning. WWW 2020: 429-440

2010 – 2019

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2019
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Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis:
Parallel Trajectory-to-Location Join. IEEE Trans. Knowl. Data Eng. 31(6): 1194-1207 (2019)
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Yan Wang, Jianmin Li, Ying Zhong, Shunzhi Zhu, Danhuai Guo, Shuo Shang:
Discovery of accessible locations using region-based geo-social data. World Wide Web 22(3): 929-944 (2019)
[j27]
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Lisi Chen, Shuo Shang, Bin Yao, Kai Zheng:
Spatio-temporal top-k term search over sliding window. World Wide Web 22(5): 1953-1970 (2019)
[j26]
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Lisi Chen, Shuo Shang:
Approximate spatio-temporal top-k publish/subscribe. World Wide Web 22(5): 2153-2175 (2019)
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An Liu, Xindi Shen, Zhixu Li, Guanfeng Liu, Jiajie Xu, Lei Zhao, Kai Zheng, Shuo Shang:
Differential private collaborative Web services QoS prediction. World Wide Web 22(6): 2697-2720 (2019)
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Lisi Chen, Shuo Shang:
Region-Based Message Exploration over Spatio-Temporal Data Streams. AAAI 2019: 873-880
[c40]
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Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng:
Preference-Aware Task Assignment in Spatial Crowdsourcing. AAAI 2019: 2629-2636
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Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Submodular Optimization over Streams with Inhomogeneous Decays. AAAI 2019: 5861-5868
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Dong Deng, Chengcheng Yang, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
LCJoin: Set Containment Join via List Crosscutting. ICDE 2019: 362-373
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Lisi Chen, Shuo Shang, Kai Zheng, Panos Kalnis:
Cluster-Based Subscription Matching for Geo-Textual Data Streams. ICDE 2019: 890-901
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Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. ICDE 2019: 1106-1117
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Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis:
AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE 2019: 1558-1561
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Xuefeng Chen, Xin Cao, Zhiqiang Xu, Ying Zhang, Shuo Shang, Wenjie Zhang:
Accelerate MaxBRkNN Search by kNN Estimation. ICDE 2019: 1730-1733
[c33]
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Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams. IJCAI 2019: 4838-4845
[c32]
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Jing Li, Deheng Ye, Shuo Shang:
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. IJCAI 2019: 5053-5059
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Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Zhiwei Zhang, Ling Shao:
Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation. KDD 2019: 488-498
[c30]
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Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis:
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD 2019: 705-713
2018
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An Liu, Weiqi Wang, Shuo Shang, Qing Li, Xiangliang Zhang:
Efficient task assignment in spatial crowdsourcing with worker and task privacy protection. GeoInformatica 22(2): 335-362 (2018)
[j23]
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Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis:
Parallel trajectory similarity joins in spatial networks. VLDB J. 27(3): 395-420 (2018)
[j22]
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Bolong Zheng, Haozhou Wang, Kai Zheng, Han Su, Kuien Liu, Shuo Shang:
SharkDB: an in-memory column-oriented storage for trajectory analysis. World Wide Web 21(2): 455-485 (2018)
[c29]
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Bin Yao, Wei Zhang, Zhi-Jie Wang, Zhongpu Chen, Shuo Shang, Kai Zheng, Minyi Guo:
Distributed In-Memory Analytics for Big Temporal Data. DASFAA (1) 2018: 549-565
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Lisi Chen, Shuo Shang, Zhiwei Zhang, Xin Cao, Christian S. Jensen, Panos Kalnis:
Location-Aware Top-k Term Publish/Subscribe. ICDE 2018: 749-760
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Bin Yao, Zhongpu Chen, Xiaofeng Gao, Shuo Shang, Shuai Ma, Minyi Guo:
Flexible Aggregate Nearest Neighbor Queries in Road Networks. ICDE 2018: 761-772
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Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Searching Trajectories by Regions of Interest. ICDE 2018: 1741-1742
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Yan Zhao, Shuo Shang, Yu Wang, Bolong Zheng, Quoc Viet Hung Nguyen, Kai Zheng:
REST: A Reference-based Framework for Spatio-temporal Trajectory Compression. KDD 2018: 2797-2806
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Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen:
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. SIGMOD Conference 2018: 441-456
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Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. CoRR abs/1810.07917 (2018)
[i3]
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Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang:
Submodular Optimization Over Streams with Inhomogeneous Decays. CoRR abs/1811.05652 (2018)
2017
[j21]
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Shunzhi Zhu, Yan Wang, Shuo Shang, Guang Zhao, Jiye Wang:
Probabilistic routing using multimodal data. Neurocomputing 253: 49-55 (2017)
[j20]
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Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis:
Trajectory Similarity Join in Spatial Networks. Proc. VLDB Endow. 10(11): 1178-1189 (2017)
[j19]
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Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Searching Trajectories by Regions of Interest. IEEE Trans. Knowl. Data Eng. 29(7): 1549-1562 (2017)
[j18]
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Shuo Shang, Shunzhi Zhu, Danhuai Guo, Minhua Lu:
Discovery of probabilistic nearest neighbors in traffic-aware spatial networks. World Wide Web 20(5): 1135-1151 (2017)
[c23]
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Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Collective Travel Planning in Spatial Networks. ICDE 2017: 59-60
[c22]
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Ying Xu, Lisi Chen, Bin Yao, Shuo Shang, Shunzhi Zhu, Kai Zheng, Fang Li:
Location-Based Top-k Term Querying over Sliding Window. WISE (1) 2017: 299-314
2016
[j17]
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Shuo Shang, Danhuai Guo, Jiajun Liu, Kai Zheng, Ji-Rong Wen:
Finding regions of interest using location based social media. Neurocomputing 173: 118-123 (2016)
[j16]
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Jiajun Liu, Shuo Shang, Kai Zheng, Ji-Rong Wen:
Multi-view ensemble learning for dementia diagnosis from neuroimaging: An artificial neural network approach. Neurocomputing 195: 112-116 (2016)
[j15]
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Danhuai Guo, Yingqiu Zhu, Wei Xu, Shuo Shang, Zhiming Ding:
How to find appropriate automobile exhibition halls: Towards a personalized recommendation service for auto show. Neurocomputing 213: 95-101 (2016)
[j14]
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Shuo Shang, Danhuai Guo, Jiajun Liu, Ji-Rong Wen:
Prediction-based Unobstructed Route Planning. Neurocomputing 213: 147-154 (2016)
[j13]
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Shuo Shang, Lisi Chen, Zhewei Wei, Danhuai Guo, Ji-Rong Wen:
Dynamic Shortest Path Monitoring in Spatial Networks. J. Comput. Sci. Technol. 31(4): 637-648 (2016)
[j12]
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Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Collective Travel Planning in Spatial Networks. IEEE Trans. Knowl. Data Eng. 28(5): 1132-1146 (2016)
[j11]
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Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Jae-Gil Lee, Raja Jurdak:
A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments. IEEE Trans. Knowl. Data Eng. 28(11): 2827-2841 (2016)
[j10]
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Sha Hu, Ji-Rong Wen, Zhicheng Dou, Shuo Shang:
Following the dynamic block on the Web. World Wide Web 19(6): 1077-1101 (2016)
[c21]
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Shuo Shang, Zhewei Wei, Ji-Rong Wen, Shunzhi Zhu:
Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks. APWeb (1) 2016: 3-14
[c20]
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Jialong Han, Kai Zheng, Aixin Sun, Shuo Shang, Ji-Rong Wen:
Discovering Neighborhood Pattern Queries by sample answers in knowledge base. ICDE 2016: 1014-1025
[c19]
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Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen:
Matrix Sketching Over Sliding Windows. SIGMOD Conference 2016: 1465-1480
[i2]
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Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Jae-Gil Lee, Raja Jurdak:
A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments. CoRR abs/1605.02337 (2016)
2015
[j9]
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Shuo Shang, Jiajun Liu, Kai Zheng, Hua Lu, Torben Bach Pedersen, Ji-Rong Wen:
Planning unobstructed paths in traffic-aware spatial networks. GeoInformatica 19(4): 723-746 (2015)
[j8]
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Shuo Shang, Jiajun Liu, Kun Zhao, Mingrui Yang, Kai Zheng, Ji-Rong Wen:
Dimension reduction with meta object-groups for efficient image retrieval. Neurocomputing 169: 50-54 (2015)
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Shuo Shang, Kexin Xie, Kai Zheng, Jiajun Liu, Ji-Rong Wen:
VID Join: Mapping Trajectories to Points of Interest to Support Location-Based Services. J. Comput. Sci. Technol. 30(4): 725-744 (2015)
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Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen:
Discovery of Path Nearby Clusters in Spatial Networks. IEEE Trans. Knowl. Data Eng. 27(6): 1505-1518 (2015)
[c18]
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Kai Zheng, Han Su, Bolong Zheng, Shuo Shang, Jiajie Xu, Jiajun Liu, Xiaofang Zhou:
Interactive Top-k Spatial Keyword queries. ICDE 2015: 423-434
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Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Raja Jurdak:
Bounded Quadrant System: Error-bounded trajectory compression on the go. ICDE 2015: 987-998
2014
[j5]
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Wenxiao Shi, Shuo Shang, Yu Zheng, Yinlong Xu:
Routing Metric of Expected Delay in Multi-Radio Multi-Channel Wireless Mesh Networks. J. Commun. 9(11): 851-858 (2014)
[j4]
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Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang, Xiaofang Zhou:
Online Discovery of Gathering Patterns over Trajectories. IEEE Trans. Knowl. Data Eng. 26(8): 1974-1988 (2014)
[j3]
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Shuo Shang, Ruogu Ding, Kai Zheng, Christian S. Jensen, Panos Kalnis, Xiaofang Zhou:
Personalized trajectory matching in spatial networks. VLDB J. 23(3): 449-468 (2014)
[c16]
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Zhixu Li, Shuo Shang, Qing Xie, Xiangliang Zhang:
Cost Reduction for Web-Based Data Imputation. DASFAA (2) 2014: 438-452
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Kuien Liu, Yaguang Li, Jian Dai, Shuo Shang, Kai Zheng:
Compressing large scale urban trajectory data. CloudDP@EuroSys 2014: 3:1-3:6
[c14]
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Kuien Liu, Yaguang Li, Zhiming Ding, Shuo Shang, Kai Zheng:
Benchmarking big data for trip recommendation. ICCCN 2014: 1-6
[c13]
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Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang:
Stochastic skyline route planning under time-varying uncertainty. ICDE 2014: 136-147
[c12]
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Shuo Shang, Danhuai Guo, Jiajun Liu, Kuien Liu:
Human Mobility Prediction and Unobstructed Route Planning in Public Transport Networks. MDM (2) 2014: 43-48
[i1]
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Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Raja Jurdak:
Bounded Quadrant System: Error-bounded Trajectory Compression on the Go. CoRR abs/1412.0321 (2014)
2013
[b1]
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Shuo Shang:
Spatial query processing for trip planning and location recommendation. University of Queensland, Australia, 2013
[c11]
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Qing Xie, Shuo Shang, Bo Yuan, Chaoyi Pang, Xiangliang Zhang:
Local correlation detection with linearity enhancement in streaming data. CIKM 2013: 309-318
[c10]
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Xike Xie, Hua Lu, Jinchuan Chen, Shuo Shang:
Top-k Neighborhood Dominating Query. DASFAA (1) 2013: 131-145
[c9]
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Kai Zheng, Shuo Shang, Nicholas Jing Yuan, Yi Yang:
Towards efficient search for activity trajectories. ICDE 2013: 230-241
[c8]
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Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang:
On discovery of gathering patterns from trajectories. ICDE 2013: 242-253
[c7]
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Shuo Shang, Hua Lu, Torben Bach Pedersen, Xike Xie:
Modeling of Traffic-Aware Travel Time in Spatial Networks. MDM (1) 2013: 247-250
[c6]
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Kuien Liu, Bin Yang, Shuo Shang, Yaguang Li, Zhiming Ding:
MOIR/UOTS: Trip Recommendation with User Oriented Trajectory Search. MDM (1) 2013: 335-337
[c5]
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Shuo Shang, Hua Lu, Torben Bach Pedersen, Xike Xie:
Finding Traffic-Aware Fastest Paths in Spatial Networks. SSTD 2013: 128-145
2012
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Shuo Shang, Bo Yuan, Ke Deng, Kexin Xie, Kai Zheng, Xiaofang Zhou:
PNN query processing on compressed trajectories. GeoInformatica 16(3): 467-496 (2012)
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Kexin Xie, Ke Deng, Shuo Shang, Xiaofang Zhou, Kai Zheng:
Finding Alternative Shortest Paths in Spatial Networks. ACM Trans. Database Syst. 37(4): 29:1-29:31 (2012)
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Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, Panos Kalnis:
User oriented trajectory search for trip recommendation. EDBT 2012: 156-167
2011
[c3]
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Shuo Shang, Bo Yuan, Ke Deng, Kexin Xie, Xiaofang Zhou:
Finding the most accessible locations: reverse path nearest neighbor query in road networks. GIS 2011: 181-190
2010
[c2]
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Shuo Shang, Ke Deng, Kai Zheng:
Efficient best path monitoring in road networks for instant local traffic information. ADC 2010: 47-56
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Shuo Shang, Ke Deng, Kexin Xie:
Best point detour query in road networks. GIS 2010: 71-80

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