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Qiang Qu 0001

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affiliation: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

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2025
[j52]
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Md. Monjurul Karim, Dong Hoang Van, Sangeen Khan, Qiang Qu, Yaroslav Kholodov:
AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agents. Future Internet 17(2): 57 (2025)
[j51]
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Lang Wu, Qiang Zhou, Hongki Jo, Muhammad M. Saleem, Qiang Qu, Jong-Hyun Jeong:
Prognostic-Based Active Battery Degradation Management in Wireless Sensor Networks for Group Replacement. Qual. Reliab. Eng. Int. 41(3): 933-942 (2025)
[j50]
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Xuewen Dong, Jiachen Li, Shujun Li, Zhichao You, Qiang Qu, Yaroslav Kholodov, Yulong Shen:
Adaptive Backdoor Attacks With Reasonable Constraints on Graph Neural Networks. IEEE Trans. Dependable Secur. Comput. 22(4): 4053-4069 (2025)
[j49]
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Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu:
Few-Shot Relation Extraction With Automatically Generated Prompts. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4971-4983 (2025)
2024
[j48]
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Faima Abbasi, Muhammad Muzammal, Qiang Qu, Farhan Riaz, Jawad Ashraf:
SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs. Big Data Min. Anal. 7(3): 794-808 (2024)
[j47]
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Pengyi Zhang, Yuchen Yuan, Jie Song, Yu Gu, Qiang Qu, Yongjie Bai:
Introducing on-chain graph data to consortium blockchain for commercial transactions. Frontiers Comput. Sci. 18(2): 182608 (2024)
[j46]
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Md. Monjurul Karim, Kashif Sharif, Sujit Biswas, Zohaib Latif, Qiang Qu, Fan Li:
CIC-SIoT: Clean-Slate Information-Centric Software-Defined Content Discovery and Distribution for Internet of Things. IEEE Internet Things J. 11(22): 37140-37153 (2024)
2023
[j45]
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Junqiao Zhang, Qiang Qu, Xue-Bo Chen:
A review on collective behavior modeling and simulation: building a link between cognitive psychology and physical action. Appl. Intell. 53(21): 25954-25983 (2023)
[j44]
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Abdur Rasool, Jingwei Hong, Qingshan Jiang, Hui Chen, Qiang Qu:
BO-DNA: Biologically optimized encoding model for a highly-reliable DNA data storage. Comput. Biol. Medicine 165: 107404 (2023)
[j43]
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Jie Song, Pengyi Zhang, Qiang Qu, Yongjie Bai, Yu Gu, Ge Yu:
Why blockchain needs graph: A survey on studies, scenarios, and solutions. J. Parallel Distributed Comput. 180: 104730 (2023)
[j42]
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Xiangyun Tang, Meng Shen, Qi Li, Liehuang Zhu, Tengfei Xue, Qiang Qu:
PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations. IEEE Trans. Dependable Secur. Comput. 20(6): 5005-5023 (2023)
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Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu, Jieke Li:
Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning. IEEE Trans. Knowl. Data Eng. 35(8): 7953-7965 (2023)
2022
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Mingqing Huang, Qingshan Jiang, Qiang Qu, Lifei Chen, Hui Chen:
Information fusion oriented heterogeneous social network for friend recommendation via community detection. Appl. Soft Comput. 114: 108103 (2022)
[j39]
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Qifeng Gu, Qiang Qu:
Towards an Internet of Energy for smart and distributed generation: applications, strategies, and challenges. J. Comput. Des. Eng. 9(5): 1789-1816 (2022)
[j38]
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Su Yao, Mu Wang, Qiang Qu, Ziyi Zhang, Yi-Feng Zhang, Ke Xu, Mingwei Xu:
Blockchain-Empowered Collaborative Task Offloading for Cloud-Edge-Device Computing. IEEE J. Sel. Areas Commun. 40(12): 3485-3500 (2022)
2021
[j37]
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Haowen Chen, Qiang Qu, Yexiong Lin, Xia Chen, Keqin Li:
Authenticity verification on social data outsourcing. Comput. Secur. 100: 102077 (2021)
[j36]
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Yue Liu, Qinghua Lu, Shiping Chen, Qiang Qu, Hugo O'Connor, Kim-Kwang Raymond Choo, He Zhang:
Capability-based IoT access control using blockchain. Digit. Commun. Networks 7(4): 463-469 (2021)
[j35]
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Mingqing Huang, Qingshan Jiang, Qiang Qu, Abdur Rasool:
An Overlapping Community Detection Approach in Ego-Splitting Networks Using Symmetric Nonnegative Matrix Factorization. Symmetry 13(5): 869 (2021)
[j34]
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Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen:
Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. 12(3): 761-775 (2021)
[j33]
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Min Yang, Weiyi Huang, Wenting Tu, Qiang Qu, Ying Shen, Kai Lei:
Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. IEEE Trans. Neural Networks Learn. Syst. 32(1): 49-62 (2021)
[j32]
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Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li:
An Effective Hybrid Learning Model for Real-Time Event Summarization. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4419-4431 (2021)
2020
[j31]
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Ildar Nurgaliev, Qiang Qu, Seyed Mojtaba Hosseini Bamakan, Muhammad Muzammal:
Matching user identities across social networks with limited profile data. Frontiers Comput. Sci. 14(6): 146809 (2020)
[j30]
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Muhammad Muzammal, Faima Abbasi, Qiang Qu, Romana Talat, Jianping Fan:
A decentralised approach for link inference in large signed graphs. Future Gener. Comput. Syst. 102: 827-837 (2020)
[j29]
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Gejun Le, Qifeng Gu, Qiang Qu, Qingshan Jiang, Jianping Fan:
AirCargoChain: A Distributed and Scalable Data Sharing Approach of Blockchain for Air Cargo. J. Grid Comput. 18(4): 629-638 (2020)
[j28]
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Yipeng Chen, Qiang Qu, Yuanxiang Ying, Hongyan Li, Jialie Shen:
Semantics-aware influence maximization in social networks. Inf. Sci. 513: 442-464 (2020)
[j27]
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Min Yang, Qiang Qu, Ying Shen, Kai Lei, Jia Zhu:
Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning. Neural Comput. Appl. 32(11): 6421-6433 (2020)
[j26]
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Weiyi Huang, Qiang Qu, Min Yang:
Interactive knowledge-enhanced attention network for answer selection. Neural Comput. Appl. 32(15): 11343-11359 (2020)
2019
[j25]
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Seyed Mojtaba Hosseini Bamakan, Ildar Nurgaliev, Qiang Qu:
Opinion leader detection: A methodological review. Expert Syst. Appl. 115: 200-222 (2019)
[j24]
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Shuai Yu, Min Yang, Qiang Qu, Ying Shen:
Contextual-boosted deep neural collaborative filtering model for interpretable recommendation. Expert Syst. Appl. 136: 365-375 (2019)
[j23]
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Muhammad Muzammal, Qiang Qu, Bulat Nasrulin:
Renovating blockchain with distributed databases: An open source system. Future Gener. Comput. Syst. 90: 105-117 (2019)
[j22]
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Qiang Qu, Ildar Nurgaliev, Muhammad Muzammal, Christian S. Jensen, Jianping Fan:
On spatio-temporal blockchain query processing. Future Gener. Comput. Syst. 98: 208-218 (2019)
[j21]
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  - journals/geoinformatica/DoulkeridisQVR19
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Christos Doulkeridis, Qiang Qu, George A. Vouros, João B. Rocha-Junior:
Guest Editorial: Special issue on mobility analytics for spatio-temporal and social data. GeoInformatica 23(3): 323-327 (2019)
[j20]
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Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu:
Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. Inf. Sci. 486: 271-286 (2019)
[j19]
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Wei Zhou, P. Y. Mok, Yanghong Zhou, Yangping Zhou, Jialie Shen, Qiang Qu, K. P. Chau:
Fashion recommendations through cross-media information retrieval. J. Vis. Commun. Image Represent. 61: 112-120 (2019)
[j18]
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Min Yang, Wenting Tu, Qiang Qu, Wei Zhou, Qiao Liu, Jia Zhu:
Advanced community question answering by leveraging external knowledge and multi-task learning. Knowl. Based Syst. 171: 106-119 (2019)
[j17]
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Jialie Shen, Tao Mei, Qiang Qu, Dacheng Tao, Yong Rui:
Toward efficient indexing structure for scalable content-based music retrieval. Multim. Syst. 25(6): 639-653 (2019)
[j16]
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Min Yang, Wei Zhao, Lei Chen, Qiang Qu, Zhou Zhao, Ying Shen:
Investigating the transferring capability of capsule networks for text classification. Neural Networks 118: 247-261 (2019)
[j15]
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Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen:
MARES: multitask learning algorithm for Web-scale real-time event summarization. World Wide Web 22(2): 499-515 (2019)
2018
[j14]
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Muhammad Muzammal, Moneeb Gohar, Arif Ur Rahman, Qiang Qu, Awais Ahmad, Gwanggil Jeon:
Trajectory Mining Using Uncertain Sensor Data. IEEE Access 6: 4895-4903 (2018)
[j13]
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A. S. M. Touhidul Hasan, Qiang Qu, Chengming Li, Lifei Chen, Qingshan Jiang:
An Effective Privacy Architecture to Preserve User Trajectories in Reward-Based LBS Applications. ISPRS Int. J. Geo Inf. 7(2): 53 (2018)
[j12]
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Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu:
A Topic Drift Model for authorship attribution. Neurocomputing 273: 133-140 (2018)
[j11]
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Min Yang, Qiang Qu, Xiaojun Chen, Chaoxue Guo, Ying Shen, Kai Lei:
Feature-enhanced attention network for target-dependent sentiment classification. Neurocomputing 307: 91-97 (2018)
[j10]
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Yingjie Tian, Mahboubeh Mirzabagheri, Seyed Mojtaba Hosseini Bamakan, Huadong Wang, Qiang Qu:
Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems. Neurocomputing 310: 223-235 (2018)
[j9]
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Siyuan Liu, Qiang Qu, Shuhui Wang:
Heterogeneous anomaly detection in social diffusion with discriminative feature discovery. Inf. Sci. 439-440: 1-18 (2018)
[j8]
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Min Yang, Yuzhi Liang, Wei Zhao, Wei Xu, Jia Zhu, Qiang Qu:
Task-oriented keyphrase extraction from social media. Multim. Tools Appl. 77(3): 3171-3187 (2018)
[j7]
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Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu:
Personalized response generation by Dual-learning based domain adaptation. Neural Networks 103: 72-82 (2018)
2017
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Juanjuan Zhao, Qiang Qu, Fan Zhang, Chengzhong Xu, Siyuan Liu:
Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data. IEEE Trans. Intell. Transp. Syst. 18(11): 3135-3146 (2017)
2016
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Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen:
Efficient Online Summarization of Large-Scale Dynamic Networks. IEEE Trans. Knowl. Data Eng. 28(12): 3231-3245 (2016)
2015
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Qiang Qu, Cen Chen, Christian S. Jensen, Anders Skovsgaard:
Space-Time Aware Behavioral Topic Modeling for Microblog Posts. IEEE Data Eng. Bull. 38(2): 58-67 (2015)
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Siyuan Liu, Qiang Qu, Lei Chen, Lionel M. Ni:
SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams. IEEE Trans. Big Data 1(2): 68-81 (2015)
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Siyuan Liu, Qiang Qu, Shuhui Wang:
Rationality Analytics from Trajectories. ACM Trans. Knowl. Discov. Data 10(1): 10:1-10:22 (2015)
2011
[j1]
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Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu:
Mining Top-K Large Structural Patterns in a Massive Network. Proc. VLDB Endow. 4(11): 807-818 (2011)

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2025
[c56]
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Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Qiang Qu, Min Yang:
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. AAAI 2025: 25886-25894
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Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Hamid Alinejad-Rokny, Shiwen Ni, Min Yang:
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents. ACL (Findings) 2025: 5850-5865
[c54]
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Haonan Zhang, Run Luo, Xiong Liu, Yuchuan Wu, Ting-En Lin, Pengpeng Zeng, Qiang Qu, Feiteng Fang, Min Yang, Lianli Gao, Jingkuan Song, Fei Huang, Yongbin Li:
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction. ACL (1) 2025: 26318-26331
2024
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Zizhao Wang, Qiang Qu, Nan Han, Zhelang Deng, Yizhuo Ma, Xiaowen Huang, Jintao Meng:
REXIO: Indexing for Low Write Amplification by Reducing Extra I/Os in Key-Value Store Under Mixed Read/Write Workloads. WISE (1) 2024: 245-258
2023
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Lingxiao Yang, Xuewen Dong, Sheng Gao, Qiang Qu, Xiaodong Zhang, Wensheng Tian, Yulong Shen:
Optimal Hub Placement and Deadlock-Free Routing for Payment Channel Network Scalability. ICDCS 2023: 692-702
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Junqiao Zhang, Qiang Qu, Xue-Bo Chen:
Collective Behavior for Swarm Robots with Distributed Learning. ICSI (2) 2023: 16-25
2022
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Saeed Banaeian Far, Seyed Mojtaba Hosseini Bamakan, Qiang Qu, Qingshan Jiang:
A Review of Non-fungible Tokens Applications in the Real-world and Metaverse. ITQM 2022: 755-762
2021
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Abdur Rasool, Qiang Qu, Qingshan Jiang, Yang Wang:
A Strategy-based Optimization Algorithm to Design Codes for DNA Data Storage System. ICA3PP (2) 2021: 284-299
[c48]
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Rakib Ul Haque, A. S. M. Touhidul Hasan, Apubra Daria, Qiang Qu, Qingshan Jiang:
Towards Convergence of Blockchain and Self-sovereign Identity for Privacy-Preserving Secure Federated Learning. ICBDS 2021: 243-255
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Zi Ye, Weichen Liu, Qiang Qu, Qingshan Jiang, Yi Pan:
A Cryptocurrency Price Prediction Model Based on Twitter Sentiment Indicators. ICBDS 2021: 411-425
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Ali Aljofey, Qingshan Jiang, Qiang Qu:
A Supervised Learning Model for Detecting Ponzi Contracts in Ethereum Blockchain. ICBDS 2021: 657-672
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Weiyi Lin, Qiang Qu, Li Ning, Jianping Fan, Qingshan Jiang:
A MVCC Approach to Parallelizing Interoperability of Consortium Blockchain. PDCAT 2021: 273-285
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Mengqiu Zhang, Qiang Qu, Li Ning, Jianping Fan, Ruijie Yang:
An Effective and Reliable Cross-Blockchain Data Migration Approach. PDCAT 2021: 286-294
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Abdur Rasool, Qingshan Jiang, Qiang Qu, Chaojie Ji:
WRS: A Novel Word-embedding Method for Real-time Sentiment with Integrated LSTM-CNN Model. RCAR 2021: 590-595
[c42]
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Saba Aslam, Abdur Rasool, Qingshan Jiang, Qiang Qu:
LSTM based Model for Real-time Stock Market Prediction on Unexpected Incidents. RCAR 2021: 1149-1153
2020
[c41]
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Shaoliang Peng, Liang Bai, Li Xiong, Qiang Qu, Xiaolan Xie, Shulin Wang:
GeoAI-based Epidemic Control with Geo-Social Data Sharing on Blockchain. HealthCom 2020: 1-6
[c40]
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Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Xu, Christian S. Jensen:
Efficient Attribute-Constrained Co-Located Community Search. ICDE 2020: 1201-1212
[c39]
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Weiyi Huang, Jiahao Jiang, Qiang Qu, Min Yang:
AILA: A Question Answering System in the Legal Domain. IJCAI 2020: 5258-5260
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Xiaoyan Zhao, Min Yang, Qiang Qu, Yang Sun:
Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention. SIGIR 2020: 1953-1956
2019
[c37]
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Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen:
Exploring Human-Like Reading Strategy for Abstractive Text Summarization. AAAI 2019: 7362-7369
[c36]
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Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen:
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset. AAAI 2019: 9935-9936
[c35]
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Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai:
Learning Document Embeddings with Crossword Prediction. AAAI 2019: 9993-9994
[c34]
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Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu:
Best Co-Located Community Search in Attributed Networks. CIKM 2019: 2453-2456
[c33]
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Jiehuan Luo, Xin Cao, Qiang Qu, Yaqiong Liu:
Efficient Search of the Most Cohesive Co-located Community in Attributed Networks. DASFAA (1) 2019: 398-415
[c32]
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Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Qiang Qu, Jialie Shen:
NAIRS: A Neural Attentive Interpretable Recommendation System. WSDM 2019: 790-793
2018
[c31]
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Yipeng Chen, Hongyan Li, Qiang Qu:
Negative-Aware Influence Maximization on Social Networks. AAAI 2018: 8063-8064
[c30]
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Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. AAAI 2018: 8109-8110
[c29]
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Usman Shahbaz, Amin Beheshti, Sadegh Nobari, Qiang Qu, Hye-Young Paik, Mehregan Mahdavi:
iRecruit: Towards Automating the Recruitment Process. ASSRI 2018: 139-152
[c28]
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Min Yang, Qiang Qu, Jia Zhu, Ying Shen, Zhou Zhao:
Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization. CIKM 2018: 1531-1534
[c27]
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Min Yang, Qiang Qu, Ying Shen, Qiao Liu, Wei Zhao, Jia Zhu:
Aspect and Sentiment Aware Abstractive Review Summarization. COLING 2018: 1110-1120
[c26]
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Faima Abbasi, Muhammad Muzammal, Qiang Qu:
A Decentralized Approach for Negative Link Prediction in Large Graphs. ICDM Workshops 2018: 144-150
[c25]
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Bulat Nasrulin, Muhammad Muzammal, Qiang Qu:
ChainMOB: Mobility Analytics on Blockchain. MDM 2018: 292-293
[c24]
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Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang:
Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation. SDM 2018: 630-638
[c23]
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Ildar Nurgaliev, Muhammad Muzammal, Qiang Qu:
Enabling Blockchain for Efficient Spatio-Temporal Query Processing. WISE (1) 2018: 36-51
[c22]
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Bulat Nasrulin, Muhammad Muzammal, Qiang Qu:
A Robust Spatio-Temporal Verification Protocol for Blockchain. WISE (1) 2018: 52-67
[c21]
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Sadegh Nobari, Qiang Qu, Muhammad Muzammal, Qingshan Jiang:
Renovating Watts and Strogatz Random Graph Generation by a Sequential Approach. WISE (1) 2018: 348-363
[c20]
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Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu:
Multi-task Learning for Author Profiling with Hierarchical Features. WWW (Companion Volume) 2018: 55-56
[c19]
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Wenyu Du, Shuai Yu, Min Yang, Qiang Qu, Jia Zhu:
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding. WWW (Companion Volume) 2018: 59-60
2017
[c18]
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Sadegh Nobari, Qiang Qu, Christian S. Jensen:
In-Memory Spatial Join: The Data Matters! EDBT 2017: 462-465
[c17]
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Jiaming Zhang, Shuhui Wang, Qiang Qu, Qingming Huang:
JEREMIE: Joint Semantic Feature Learning via Multi-relational Matrix Completion. MATES@VLDB 2017: 87-108
[c16]
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Jianfeng He, Shuhui Wang, Qiang Qu, Weigang Zhang, Qingming Huang:
Efficient Cross-Modal Retrieval Using Social Tag Information Towards Mobile Applications. MATES@VLDB 2017: 157-176
2016
[c15]
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Mingli Zhang, Christian Desrosiers, Qiang Qu, Fenghua Guo, Caiming Zhang:
Medical image super-resolution with non-local embedding sparse representation and improved IBP. ICASSP 2016: 888-892
[c14]
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Mingli Zhang, Qiang Qu, Sadegh Nobari, Christian Desrosiers:
LRI: A low rank approach to non-local sparse representation for image interpolation. IJCNN 2016: 3016-3022
[c13]
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Ali Hadian, Sadegh Nobari, Behrouz Minaei-Bidgoli, Qiang Qu:
ROLL: Fast In-Memory Generation of Gigantic Scale-free Networks. SIGMOD Conference 2016: 1829-1842
[c12]
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Damir Mirzanurov, Waqas Nawaz, JooYoung Lee, Qiang Qu:
An Effective Cluster Assignment Strategy for Large Time Series Data. WAIM (2) 2016: 330-341
2015
[c11]
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Ce Liu, Qiang Qu:
Trip Fare Estimation Study from Taxi Routing Behaviors and Localizing Traces. ICDM Workshops 2015: 1109-1116
2014
[c10]
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Qiang Qu, Siyuan Liu, Bin Yang, Christian S. Jensen:
Efficient Top-k Spatial Locality Search for Co-located Spatial Web Objects. MDM (1) 2014: 269-278
[c9]
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Qiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos:
Interestingness-Driven Diffusion Process Summarization in Dynamic Networks. ECML/PKDD (2) 2014: 597-613
[c8]
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Qiang Qu, Siyuan Liu, Bin Yang, Christian S. Jensen:
Integrating non-spatial preferences into spatial location queries. SSDBM 2014: 8:1-8:12
[c7]
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Biying Tan, Feida Zhu, Qiang Qu, Siyuan Liu:
Online Community Transition Detection. WAIM 2014: 633-644
2013
[c6]
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Feida Zhu, Zequn Zhang, Qiang Qu:
A direct mining approach to efficient constrained graph pattern discovery. SIGMOD Conference 2013: 821-832
2012
[c5]
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Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu:
Spatial Keyword Querying. ER 2012: 16-29
2011
[c4]
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Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li:
Efficient Topological OLAP on Information Networks. DASFAA (1) 2011: 389-403
2009
[c3]
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Feifei Li, Hongyan Li, Qiang Qu:
Composite Pattern Query Expression over Medical Data Streams. BMEI 2009: 1-5
[c2]
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Qiang Qu, Hongyan Li, Lei Wang, Gaoshan Miao, Xin Wei:
Online Constrained Pattern Detection over Streams. FSKD (5) 2009: 66-70
[c1]
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Lei Wang, Hongyan Li, Qiang Qu, Huaqiang Zhang, Bin Zhou:
Verifying the Consistency between Business Process Model and Data Model. JCAI 2009: 171-174

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2018
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Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang:
Mobility Analytics for Spatio-Temporal and Social Data - First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10731, Springer 2018, ISBN 978-3-319-73520-7 [contents]

Reference Works

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2017
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Siyuan Liu, Shuhui Wang, Qiang Qu:
Trajectory Mining. Encyclopedia of GIS 2017: 2310-2313

Informal and Other Publications

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2025
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Lingxiao Yang, Xuewen Dong, Wei Wang, Sheng Gao, Qiang Qu, Wensheng Tian, Yulong Shen:
Splicer⁺: Secure Hub Placement and Deadlock-Free Routing for Payment Channel Network Scalability. CoRR abs/2501.04236 (2025)
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Ancheng Xu, Di Yang, Renhao Li, Jingwei Zhu, Minghuan Tan, Min Yang, Wanxin Qiu, Mingchen Ma, Haihong Wu, Bingyu Li, Feng Sha, Chengming Li, Xiping Hu, Qiang Qu, Derek F. Wong, Ruifeng Xu:
AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological Counseling. CoRR abs/2501.09426 (2025)
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Zhichao You, Xuewen Dong, Ke Cheng, Xutong Mu, Jiaxuan Fu, Shiyang Ma, Qiang Qu, Yulong Shen:
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Function Secret Sharing. CoRR abs/2503.03146 (2025)
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Xuewen Dong, Jiachen Li, Shujun Li, Zhichao You, Qiang Qu, Yaroslav Kholodov, Yulong Shen:
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks. CoRR abs/2503.09049 (2025)
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Haonan Zhang, Run Luo, Xiong Liu, Yuchuan Wu, Ting-En Lin, Pengpeng Zeng, Qiang Qu, Feiteng Fang, Min Yang, Lianli Gao, Jingkuan Song, Fei Huang, Yongbin Li:
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction. CoRR abs/2505.20277 (2025)
2024
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Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Shiwen Ni, Min Yang:
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents. CoRR abs/2408.08089 (2024)
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Qiyao Wang, Shiwen Ni, Huaren Liu, Shule Lu, Guhong Chen, Xi Feng, Chi Wei, Qiang Qu, Hamid Alinejad-Rokny, Yuan Lin, Min Yang:
AutoPatent: A Multi-Agent Framework for Automatic Patent Generation. CoRR abs/2412.09796 (2024)
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Shiwen Ni, Haihong Wu, Di Yang, Qiang Qu, Hamid Alinejad-Rokny, Min Yang:
Small Language Model as Data Prospector for Large Language Model. CoRR abs/2412.09990 (2024)
2023
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Lingxiao Yang, Xuewen Dong, Sheng Gao, Qiang Qu, Xiaodong Zhang, Wensheng Tian, Yulong Shen:
Optimal Hub Placement and Deadlock-Free Routing for Payment Channel Network Scalability. CoRR abs/2305.19182 (2023)
2022
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Min Li, Jiashu Wu, Junbiao Dai, Qingshan Jiang, Qiang Qu, Xiaoluo Huang, Yang Wang:
A self-contained and self-explanatory DNA storage system. CoRR abs/2207.09192 (2022)
2019
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Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Qiang Qu, Jialie Shen:
NAIRS: A Neural Attentive Interpretable Recommendation System. CoRR abs/1902.07494 (2019)
2018
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Wenyu Du, Shuai Yu, Min Yang, Qiang Qu, Jia Zhu:
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding. CoRR abs/1803.02590 (2018)
2017
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Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. CoRR abs/1711.09357 (2017)

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