Research

Selected Publications

--- 2024 ----

1. Xiaofei Xu, Ke Deng, Xiuzhen (Jenny) Zhang, Michael Dann, Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-imitation Learning, Accepted by AAAI 2024. 

--- 2023 ----

1. Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, KE DENG, SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction, IEEE ITSC 2023 .

2. "Open-World Learning for Traffic Scenarios Categorisation", by Balasubramanian, Lakshman; Wurst, Jonas; Botsch, Michael; Deng, Ke, Accepted by IEEE Transactions on Intelligent Vehicles.

3. [TKDE2023] Zhengyang Wu, Ke Deng, Judy Qiu, Yong Tang, ExamGAN and Twin-ExamGAN for Exam Script Generation, Accepted by TKDE

--- 2022 ---

1. [ITSC2022] Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, KE DENG, ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios, 25th IEEE Intelligent Transportation Systems Conference (ITSC 2022),  October 8-12, Macau, China 

2. [WWW2022] Jie Li, Yongli Ren, Ke Deng, FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback, accepted to The Web Conference 2022, 

3. [WSDM2022] Xiaofei Xu, Ke Deng, Xiuzhen (Jenny) Zhang, Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns, accetped to WSDM 2022. 

--- 2021 --- 

1. [WISE21] Aopeng Wang, Shiting Wen, Yunjun Gao, Qing Li, Ke Deng and Chaoyi Pang, An Efficient method for Indoor Layout Estimation with FPN, accepted by WISE 2021.  

2. [ICSOC21 ] Mingwei Zhang, Jiayuan Liu, Weipu Zhang, Ke Deng, Hai Dong and Ying Liu, CSSR: A Context-Aware Sequential Software Service Recommendation Model, Accepted by ICSOC 2021 (short)

3. [TOIS21] Jinze Wang, Yongli Ren, Jie Li, Ke Deng, The Footprint of Factorization Models and Their Applications in Collaborative Filtering, Accepted by TOIS.  

4. [CIKM21] Mingwei Zhang, Yang Yang, Rizwan Abbas, Ke Deng, Jianxin Li, Bin Zhang, SNPR: A Serendipity-Oriented Next POI Recommendation Model, 30th ACM International Conference on Information and Knowledge Management (CIKM21)

5. [IV2021] Lakshman Balasubramanian*, Jonas Wurst, Michael Botsch, KE DENG,  Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity Conference: 2021, 32nd IEEE Intelligent Vehicles Symposium (IV).

6. [IV2021] Lakshman Balasubramanian*, Friedrich Kruber, Michael Botsch, KE DENG, Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios Conference: 2021, 32nd IEEE Intelligent Vehicles Symposium (IV). (Best Paper  Reward).

--- 2020 --- 

1. [ICSOC20] Zhang, Mingwei; Zhao, Jiawei; Dong, Hai; Deng, Ke; Liu, Ying, A Knowledge Graph based Approach for Mobile Application Recommendation, The 18th International Conference on Service-Oriented Computing (ICSOC), 2020.

2. [Cognitive20] Guangli Huang, Ke Deng, Jing He, Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods, Cognitive Computation, Springer, 2020 

3. [WWWJ20] Xinjue Wang, Ke Deng, Jianxin Li, Jeffery Xu Yu, Christian S. Jensen, Xiaochun Yang, Efficient targeted influence minimization in big social networks, Acceped by WWW Journal 2020.  

4. [IS20] Jianxin Li, Taotao Cai, Ke Deng, Xinjue Wang, Timos Sellis, Feng Xia, Community-diversified influence maximization in social networks, Accepted by Elsevier Information Systems 2020. 

5. [TKDE20] Zhao, Huanyu; Pang, Chaoyi; Ramamohanarao, Kotagiri; Pang, Christopher ; Deng, Ke; Yang, Jian; Li, Tongliang, An Optimal Online Semi-connected PLA Algorithm with Maximum Error Bound, Accepted by TKDE 2020. 

--- 2019 ---

1. [ICDM2019] Shuo He, Ke Deng, Li Li, and Senlin Shu, "Discriminatively Relabel for Partial Multi-Label Learning", accepted by ICDM 2019 as a full paper (accept rate: 9.08%)

2. [TKDE19] Ke Deng, Yanhua Li, Jia Zeng, Mingxuan Yuan, Jun Luo, Jeffery Xu Yu, User Preference Analysis for Most Frequent Peer/Dominator, Volume: 31 , Issue: 7 , July 1 2019.

3. [IEEE Access] Guangli Huang, Ke Deng, Yongli Ren, Jianxin Li, Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model, IEEE Access, Volume 7, page 16206 - 16216, 2019 (SJR Q1)

 --- 2018 ---

1. [EJP Data Science] Rumi, S.K., Deng, K. & Salim, F.D. Crime event prediction with dynamic features. EPJ Data Sci. 7, 43 (2018). (SJR Q1)

2. [SIGSPATIAL18] Shakila Khan Rumi, Ke Deng, Flora Salim, Theft Prediction with Individual Risk Factor of Visitors accepted by Sigspatial 2018, (CORE A conference)

3. [WWWJ18] Qiao Tian, Jianxin Li, Lu Chen, Ke Deng, Rong-hua Li, Mark Reynolds, Chengfei Liu, Evidence-driven dubious decision making in online shopping, accepted by WWW Journal Special Issue on Social Computing and Big Data Applications, 2018. 

4. [IJCAI18] Chaojie Li, Chen Liu, Ke Deng, et al. Integrating Demand Response and Renewable Energy In Wholesale Market, To appear in IJCAI 2018

5. [EIS18] Hui Li, Ke Deng, Jiangtao Cui, Zhenhua Dong, Jianfeng Ma and Jianbin Huange, Hidden Community Identification in Location-based Social Network via Probabilistic Venue Sequences, Elsevier Information Sciences 422 (2018) 188–203

6. [PAKDD18] Xinjue Wang, Ke Deng, Jianxin Li, Xiaochun Yang, Jeffrey Xu Yu, Christian Jensen, Targeted Influence Minimization in Social Networks, To appear in PAKDD 2018

7. [PAKDD18] Borui Cai, Guangyan Huang, Yong Xiang, Jing He, Guang-Li Huang, Ke Deng and Xiangmin Zhou, Clustering of Multiple Density Peaks, To appear in PAKDD 2018

8. [TCST18] C Li, C Liu, K Deng, X Yu, T Huang, Data-driven charging strategy of PEVs under transformer aging risk, IEEE Transactions on Control Systems Technology 26 (4), 1386-1399

     --- 2017 ---

1. [ICDE17] Jianxin Li, Xinjue Wang, Ke Deng, Xiaochun Yang, Timos Sellis and Jeffrey Xu Yu, Most Influential Community Search over Large Social Networks, accepted by ICDE, 2017.

2. [ICDE17] Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S Bhowmick and Zhenhua Dong, PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects", accepted to ICDE 2017 (TKDE posters track).

3. [PVLDB17] Junling Liu, Ke Deng, Huanliang Sun, Yu Ge, Xiaofang Zhou, Christian S. Jensen, Clue based Spatio textual Query, to appear in PVLDB 2017

4. [FCS17] J Zhu, X Wu, J Xiao, C Huang, Y Tang, K Deng, Improved expert selection model for forex trading, Frontiers of Computer Science, 1-10

5. [SCIC17] X Bai, J Yao, M Yuan, K Deng, X Xie, H Guan, Embedding differential privacy in decision tree algorithm with different depths, Science China Information Sciences 60 (8), 2017

     --- 2016 ---

1. [ICDM16] Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li and Jun Lou, The Optimal Distribution of Electric-Vehicle Chargers across A City, IEEE International Conference on Data Mining (ICDM) 2016 (8.5% regular papers)

2. [CIKM16] Fangzhou Zhu, Chen Luo, Mingxuan Yuan, Yijian Zhu, Zhengqing Zhang, Tao Gu, Ke Deng, Weixiong Rao and Jia Zeng, City-Scale Localization with Telco Big Data, The 25th ACM International Conference on Information and Knowledge Management (CIKM), Indianapolis, USA, Oct 24-28, 2016.

3. [TBD16] Ye Ding, Yanhua Li, Ke Deng, et. al., Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport, IEEE Transactions on Big Data, Issue: 99, pp 1-1 (2016).

4. [TKDE16] Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S Bhowmick, Zhenhua Dong, PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects, IEEE Trans. Knowl. Data Eng. (TKDE) 28(11): 3068-3082 (2016).

5. [TKDE16] Ke Deng, Jianxin Li, Chaoyi Pang, Jiuyong Li, Xiaofang Zhou, Access time oracle for planar graphs, IEEE Trans. Knowl. Data Eng (TKDE). 28(8): 1959-1970 (2016).

     --- 2015 ---

1. [ICDE15] Ye Ding, Yanhua Li, Ke Deng, et. al. Dissecting Regional Weather-Traffic Sensitivity throughout a City, IEEE ICDM 2015 (short paper)(8.4% regular papers and 9.8% short papers). 

2. [CIKM15] Yanhua Li, Chi-Yin Chow, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang, Sampling Big Trajectory Data, in proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM), Pages 941-950, 2015.  

3. [SIGMOD15] Yiqing Huang, Mingxuan Yuan, Ke Deng, Yanhua Li, Bing Ni, Wenyuan Dai, Qiang Yang, Zeng Jia, Telco Churn Prediction with Big Data, SIGMOD, 2015 

4. [TKDE15] Ke Deng, Xin Li, Jiaheng Lu and Xiaofang Zhou, Best Keyword Cover Search, IEEE Transaction on Knowledge and Data Engineering (TKDE), 27(1), 61-73, 2015 

     --- 2014 ---

1. [PVLDB14] Minxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqing He, Fei Wang, WenYuan Dai, Qiang Yang, OceanST: A Distributed Analytic System for Large-scale Spatiotemporal Mobile Broadband Data, Accepted by VLDB (demo), 2014, Hangzhou, China. 

2. [VLDBJ14] Qing Xie, Chaoyi Pang, Xiaofang Zhou, Xiangliang Zhang, Ke Deng, Maximum error-bounded Piecewise Linear Representation for online stream approximation, VLDB Journal, 23(6): 915-937, 2014.

     --- 2012  ---

1. [TODS12] Kexin Xie, Ke Deng, Shuo Shang and Xiaofang Zhou, Finding Alternative Shortest Paths in Spatial Networks, Accepted by ACM Transactions on Database Systems (TODS), 2012.

2. [TKDE12] Ke Deng, Shazia Sadiq, Xiaofang Zhou, Hu Xu, Gabriel Pui Cheong Fung, and Yansheng Lu, On Group Nearest Group Query Processing”, IEEE Transaction on Knowledge and Data Engineering (TKDE), 24(2):295-308, 2012

     --- 2011  ---

1. [WWWJ11] Lu Wei, Fung Gabriel Pui Cheong, Xiaoyong Du, Xiaofang Zhou, Lijiang Cheng, Ke Deng, “Approximate entity extraction in temporal databases”, WWW Journal, 14(2):157-186, 2011.

2. [SIGSPATIAL11] S. Shang, B. Yuan, D. Deng, K. Xie and X. Zhou, Finding the Most Accessible Locations - Reverse Path Nearest Neighbor Query in Road Networks, ACM SIGSPATIAL GIS 2011, Chicago, USA. 

3. [EDB11]K. Kawagoe, Abdulla-Al-Maruf, K. Deng, X. Zhou, "Searching Time Series Using Textual Approximation", 3rd International Conference on Emerging Databases (EDB), 2011, Korea.

4. [Geoinformatics11] Shuo Shang, Bo Yuan, Ke Deng, Kexin Xie, Kai Zheng and Xiaofang Zhou. PNN Query Processing on Compressed Trajectories. Geoinformatica. 16(3): 467-496. 2011.

     --- 2010 ---

1. [SIGSPATIAL10] Shang Shou, Ke Deng, Kexin Xie, “Best Point Detour Query in Road Networks”, ACM SIGSPATIAL 2010, San Jones, USA 

     --- 2009 ---

1. [PVLDB09] Kuien. Liu, Ke Deng, Ziming Ding, Minshu Li and Xiaofang. Zhou, "MOIR/MT: Monitoring Large-scale Traffic of Road Network in Real Time", VLDB (demo), 2009, Lyon, France. 

2. [ICDE09] Ke Deng, Hu Xu, Shazia Sadiq, Yansheng Lu, Gabriel Fung, Hengtao Shen “Processing Group Nearest Group Query (Short Paper)” the 25th IEEE International Conference on Data Engineering (ICDE), 2009, Shanghai, China.

3. [DASFAA09] Ke Deng, Liwei Wang, Xiaofang Zhou, Shazia Sadiq, and Gabriel Pui Cheong Fung, “Active Duplicate Detection”, Database Systems for Advanced Applications, the proceedings of the 15th international conference on database systems for Advanced Applications (DASFAA, Best Paper Award Runner Up), 2009, Tsukuba, Japan. 

4. [CIKM09] Huanliang Sun, Ke Deng, Fanyu Meng, Junling Liu, “Matching Stream Patterns of Various Lengths and Tolerances” (CIKM), 2009, Nov. Hongkong.

5. [VLDBJ09] Ke Deng, Xiaofang Zhou, Hen Tao Shen, Shazia Sadiq, Xue Li, “Instance Optimal Query Processing in Spatial Networks”, The VLDB Journal, 18(3):675-693, 2009

     --- 2008 and before ---

1. [VLDBJ08] Ke Deng, Xiaofang Zhou, Heng Tao Shen, Qing Liu, Kai Xu and Xuemin Lin, “A multi-resolution surface distance model for k-NN query processing”, The VLDB Journal, 17(5): 1101-1121, 2008

2. [IS08] G. James, W, Peng, K. Deng, Managing household wind-energy generation, Intelligent Systems, IEEE, 23:9 – 12, 2008

3. [ICDE07] Ke Deng, Xiaofang Zhou, Heng Tao Shen, “Multi-source Skyline Query in Road Networks”, the 23rd IEEE International Conference on Data Engineering (ICDE), 2007, Turkey. 

4. [ICDE06] Ke Deng, Xiaofang Zhou, Heng Tao Shen, Kai Xu and Xuemin Lin, “Surface Nearest Neighbor Query Processing”, the 22nd IEEE International Conference on Data Engineering (ICDE), 2006, USA 

5. [TKDE06] Kai Xu, Xiaofang Zhou, Xuemin Lin, Heng Tao Shen, and Ke Deng, “Direct Mesh: Visualization for Multiresolution Terrain Database” IEEE Transaction on Knowledge and Data Engineering (TKDE), 18(10):1382-1396, 2006. 

Edited Scholarly books

1. Xiaofang Zhou, Haruo Yokota, Ke Deng and Qing Liu, (edited proceedings): Database Systems for Advanced Applications, the proceedings of the 14th international conference on database systems for Advanced Applications (DASFAA), Lecture Notes in Computer Science (LNCS5463), Springer, 2009.

2. Lei Chen, Chengfei Liu, Qing Liu, Ke Deng (edited proceedings): Database Systems for Advanced Applications, DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD, Springer 2009.

Scholarly Book Chapters

1. Xie Q., Pang C., Zhou X., Zhang X., Deng K. (2019) Error-Bounded Approximation of Data Stream: Methods and Theories. In: Sayed-Mouchaweh M. (eds) Learning from Data Streams in Evolving Environments. Studies in Big Data, vol 41. Springer, Cham

2. Ke Deng, Kexin Xie, Kevin Zheng and Xiaofang Zhou, Chapter Two - Trajectory Indexing and Retrieval, in book Computing with Spatial Trajectories, Springer, 35-60, 2011.

3. Ke Deng, Fractals, In Encyclopedia of Database Systems, L. Liu and M. Tamer Ozsu (editors), Springer, 1168-1169, 2008.