COVID19 & eHealth

Y. Hou, K. Tang, J. Wang, D. Xie, and H. Zhang, "Assortative
mating on blood type: Evidence from one million Chinese pregnancies" Proceedings of the National Academy of Sciences, 2022. (IF = 11.205) read more

H. Ren, J. Wang, and WX. Zhao, "RSD: A Reinforced Siamese Network
with Domain Knowledge for Early Diagnosis" in Proceedings of the 31st ACM
International Conference on Information & Knowledge Management, 2022. read more

H. Ren, J. Wang*, and WX. Zhao, "Generative Adversarial Networks
Enhanced Pretraining for Insufficient Electronic Health Records Modeling" in Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
2022. (Acceptance rate = 14.9%) read more

Z. Wang, P. Wu, J. Wang, J. Lourenço, B. Li, B. Rader, M. Laine,
H. Miao, L. Wang, H. Song, N. Bharti, J. Brownstein, O. Bjornstad, C. Dye, H. Tian, "Assessing the asymptomatic proportion of SARSCoV2 infection with age in China before mass
vaccination," Journal of the Royal Society Interface, 2022.
(IF = 4.118) read more

Z. Wang, P. Wu, J. Wang, et al.
"Assessing the asymptomatic proportion of SARSCoV2 infection with age in China before mass vaccination," Journal of the Royal Society Interface, 2022. (IF = 4.293) read more

H. Ren, J. Wang, W. X. Zhao, and N. Wu,
“RAPT: Pretraining of timeaware transformer for learning robust healthcare representation,” in Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery
& Data Mining, 2021, pp. 3503–3511. (Acceptance
rate=19.6%, CCF A) read more

L. Pee, S. L. Pan, J. Wang, and J. Wu,
“Designing for the future in the age of pandemics: a futureready design research (FRDR) process,” European Journal of Information Systems, vol. 30, no. 2, pp. 157–175,
2021. (IF = 4.344, CCF B) read more

X. Cui, L. Zhao, Y. Zhou, X. Lin, R. Ye, K. Ma, J.F. Jiang, B. Jiang, Z. Xiong, H. Shi, J. Wang, N. Jia, W. Cao, “Transmission dynamics and the effects of nonpharmaceutical
interventions in the covid19 outbreak resurged in Beijing, China: a descriptive and modelling study,” BMJ open, vol. 11, no. 9, p. e047227, 2021. (IF = 2.692) read more

LW. Cong, K. Tang, B. Wang, J. Wang, "An AIassisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID19 in the United States." Available at
SSRN 3901449, 2021. read
more

J.
Wang, X. Lin, Y. Liu, Qilegeri, K. Feng and H. Lin, “A knowledge transfer model for COVID19 predicting and nonpharmaceutical intervention simulation,” in Proceedings of the
26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020. (Acceptance rate = 16.8%, CCF A) read more code

J. Wang, K. Tang, K. Feng, and W. Lv, “When
is the covid19 pandemic over? Evidence from the stayathome policy execution in 106 Chinese cities,” Available at SSRN
3561491, 2020. read more

J. Wang, K. Tang, K. Feng, X. Lin, W. Lv, K.
Chen, and F. Wang, “Impact of temperature and relative humidity on the transmission of covid19: a modelling study in china and the united states,” BMJ open, vol. 11, no. 2, p.
e043863, 2021. (IF = 2.692) read more code
Explainable AI

J. Wang, Z. Peng, X. Wang, C. Li, and J. Wu, "Deep Fuzzy Cognitive Maps for Interpretable Multivariate Time Series Prediction," IEEE Transactions on Fuzzy
Systems (TFS), vol. 29, no. 9, pp. 2647–2660, 2020. (IF = 12.029, CCF B) read
more

J. Wang, Y. Wu, M. Li, X. Lin, J. Wu, and C.
Li, "Interpretability is a Kind of Safety: An Interpreterbased Ensemble for Adversary Defense," in Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery
& Data Mining, 2020, pp.1524. (Acceptance rate = 16.8%, CCF A) read more

L. W. Cong, K. Tang, J. Wang, and Y. Zhang, "AlphaPortfolio for
Investment and Economically Interpretable AI," Available at SSRN 3554486, 2020. read more

J. Wang, K. Feng, and J. Wu, "SVMBased Deep Stacking Networks,"
in Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, 2019, pp. 5273–5280. (Acceptance rate = 16.2%, CCF A) read more

J. Wang, Y. Zhang, K. Tang, J. Wu, and Z.
Xiong, "Alphastock: A buyingwinnersandsellinglosers investment strategy using interpretable deep reinforcement attention networks," in Proceedings of the 25th ACM SIGKDD International
Conference on Knowledge Discovery & Data Mining, 2019, pp. 1900–1908. (Acceptance rate = 18.4%, CCF A) read more

J. Wang, Z. Wang, J. Li, and J. Wu, "Multilevel wavelet decomposition
network for interpretable time series analysis," in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, pp.
2437–2446. (Acceptance rate = 18.4%, CCF A) read more

J. Wang, Q. Gu, J. Wu, G. Liu, and Z. Xiong, "Traffic speed prediction and congestion source exploration: A deep learning method," in Proceedings of
the 2016 IEEE 16th International Conference on Data Mining, 2016, pp.499508. (Acceptance rate = 8.6%, CCF B) read more

J. Wang, Y. Mao, J. Li, Z. Xiong, and W.X. Wang,
"Predictability of road traffic and congestion in urban areas," PloS one, vol. 10, no. 4, p. e0121825, 2015. (IF = 3.24, CCF B) read more
Fintech & Econometrics

B. Du, X. Sun, J. Ye, K. Cheng, J.
Wang and L. Sun, "GANBased Anomaly Detection for Multivariate Time Series Using Polluted Training Set", IEEE Transactions on Knowledge & Data Engineering, no. 01,
pp. 11, 2021. (IF = 9.235, CCF A) read more

A. Subrahmanyam, K. Tang, J. Wang, X. Yang, "Leverage is
a DoubleEdged Sword." Available at SSRN 3855181, 2021. read
more

王静远, 葛逸清, 汤珂, 邓雅琳, "调整期货交易规则可以降低投资者杠杆吗？" 《管理科学学报》, 2020.(IF = 4.346) read more

L. W. Cong, K. Tang, J. Wang, and Y. Zhang, "AlphaPortfolio for
Investment and Economically Interpretable AI," Available at SSRN 3554486, 2020. read more

J. Wang, Y. Zhang, K. Tang, J. Wu, and Z.
Xiong, "Alphastock: A buyingwinnersandsellinglosers investment strategy using interpretable deep reinforcement attention networks," in Proceedings of the 25th ACM SIGKDD International
Conference on Knowledge Discovery & Data Mining, 2019, pp. 1900–1908. (Acceptance rate = 18.4%, CCF A) read more

H. Hong, X. Lin, K. Tang, and J. Wang, "ArtificialIntelligence
Assisted Decision Making: A Statistical Framework," Available at SSRN 3508224, 2019. read more

K. Feng, H. Hong, K. Tang, and J. Wang, "Decision Making with
Machine Learning and ROC Curves," Available at SSRN 3382962, 2019. read
more
Spatiotemporal Data Mining & Urban Computing

J. Jiang, D. Pan, H. Ren, X. Jiang, C. Li, and J. Wang,
"Selfsupervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics", in Proceedings of the 39th international conference on data engineering, 2023. read more

J. Ji, J. Wang, J.
Wu, B. Han, J. Zhang, and Y. Zheng, "Precision CityShield Against Hazardous Chemicals Threats via Location Mining and SelfSupervised Learning," in Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2022,.(Acceptance rate = 14.9%) read more

Z. Wang, Z. Pan, S. Chen, S. Ji, X.
Yi, J. Zhang, J. Wang, Z. Gong, T. Li, and Y. Zheng, "Shortening passengers’ travel time: A dynamic metro train scheduling approach using deep reinforcement learning,"
IEEE Transactions on Knowledge and Data Engineering, 2022. (IF = 9.235, CCF A) read more

H. Wang, K. Zhou, WX.
Zhao, J. Wang*, and J. Wen, "Curriculum PreTraining Heterogeneous Subgraph Transformer for TopN Recommendation," ACM
Transactions on Information Systems, 2022.(IF = 4.797 CCF
A) read more

J. Ji, J. Wang*, Z. Jiang, J. Jiang, H. Zhang, "STDEN: Towards Physicsguided Neural Networks for Traffic Flow
Prediction," in Proceedings of the ThirtySixth AAAI Conference on Artificial Intelligence, 2022.(Acceptance rate = 15.0%, CCF
A) read more code

J. Wang, J.
Jiang, W. Jiang, C. Li, and W. X. Zhao, “Libcity: An open library for traffic prediction,” in Proceedings of the 29th International Conference on Advances in Geographic Information Systems,
2021, pp. 145–148.(Acceptance rate = 22.4%) read more code

J. Wang, N. Wu, X. Zhao, "Personalized route recommendation with neural network enhanced A* search
algorithm", IEEE Transactions on Knowledge and Data Engineering, no. 01, pp. 11,
2021.(IF = 9.235, CCF A) read more code

L. Ye, S. Pan, J. Wang, J.
Wu, and X. Dong, "Big data analytics for sustainable cities: An information triangulation study of hazardous materials transportation," Journal of Business Research, vol.
128, pp. 381–390, 2021. (IF = 7.55) read more

吴俊杰, 郑凌方, 杜文宇, 王静远, "从风险预测到风险溯源:大数据赋能城市安全管理的行动设计研究," 《管理世界》, 2020. (IF =
5.355) read more

吴俊杰, 刘冠男, 王静远, 左源, 部慧, 林浩, "数据智能: 趋势与挑战," 《系统工程理论与实践》,
2020. (IF = 2.858) read more

S. Guo, C. Chen, J. Wang, Y. Ding, Y. Liu, X. Ke, Z. Yu, and D. Zhang,
"A Forcedirected Approach to Seeking Route Recommendation in Rideondemand Service Using Multisource Urban Data," IEEE Transactions on Mobile Computing,
2020. (IF = 5.577, CCF A) read more

N. Wu, X. W. Zhao, J. Wang, and D. Pan, "Learning effective road
network representation with Hierarchical Graph Neural Networks," in Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data
Mining, 2020, pp.614. (Acceptance rate = 16.8%, CCF A) read
more code

S. Guo, C. Chen, J. Wang, Y. Liu, X.
Ke, Z. Yu, D. Zhang, and D.M. Chiu, "Rodrevenue: Seeking strategies analysis and revenue prediction in rideondemand service using multisource urban data," IEEE Transactions on
Mobile Computing, vol. 19, no. 9, pp. 2202–2220, 2019. (IF = 5.577, CCF A) read more

S. Guo, C. Chen, J. Wang, Y. Liu, K.
Xu, and D. M. Chiu, "Finegrained dynamic price prediction in rideondemand services: Models and evaluations," Mobile Networks Applications, vol. 25, no. 2, pp.505520,
2020.(IF = 3.426) read more

N. Wu, J. Wang, W. X. Zhao, and Y.
Jin, "Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation," in Proceedings of the 28th ACM International Conference on Information and Knowledge
Management, pp.19231932. (Acceptance rate = 19.4% CCF B) read more

J. Wang, N. Wu, X. Lu, X. Zhao, and K. Feng, "Deep Trajectory
Recovery with FineGrained Calibration using Kalman Filter," IEEE Transactions on Knowledge Data Engineering (TKDE), 2019. (IF = 9.235, CCF A) read more

J. Wang, N. Wu, W. X. Zhao, F. Peng, and X. Lin, "Empowering
A* search algorithms with neural networks for personalized route recommendation," in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data
Mining, 2019, pp.539547. (Acceptance rate = 18.4%, CCF A) read
more code

J. Wang, J. Wu, Z. Wang, F. Gao, and Z. Xiong, "Understanding urban dynamics
via contextaware tensor factorization with neighboring regularization," IEEE Transactions on Knowledge Data Engineering, vol. 32, no. 11, pp.14, 2020. (IF
= 9.235, CCF A) read more

S. Guo, C. Chen, J. Wang, Y.
Liu, K. Xu, and D. M. Chiu, "Dynamic price prediction in rideondemand service with multisource urban data," in Proceedings of the 15th EAI International Conference on Mobile and
Ubiquitous Systems: Computing, Networking and Services (MobiQuitous'18), pp.412421. (CCF C) read more

S. Guo, C. Chen, J. Wang, Y.
Liu, K. Xu, D. Zhang, and D. M. Chiu, "A simple but quantifiable approach to dynamic price prediction in rideondemand services leveraging multisource urban data," in Proceedings of
the ACM on Interactive, Mobile, Wearable Ubiquitous Technologies (IMWUT'18), pp.124. read more

J. Wang, X. Wang, and J. Wu, "Inferring
metapopulation propagation network for intracity epidemic control and prevention," in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data
Mining (KDD'18), pp.830838. (Acceptance rate = 18.4%, CCF A) read more

J. Wang, X. He, Z. Wang, J. Wu, N. J. Yuan, X. Xie,
and Z. Xiong, "CDCNN: a partially supervised crossdomain deep learning model for urban resident recognition," in Proceedings of the AAAI Conference on Artificial Intelligence
(AAAI'18), pp.192199. (Acceptance rate = 24.6%, CCF A) read more

J. Wang, C. Chen, J. Wu, and Z. Xiong, "No longer sleeping with a bomb: a duet system for protecting urban safety from dangerous
goods," in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), pp.16731681. (Acceptance rate = 17.4%, CCF
A) read more

J. Wang, Y. Lin, J. Wu, Z. Wang, and Z. Xiong, "Coupling Implicit and Explicit Knowledge for Customer Volume Prediction," in
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'17), pp.15691575. (Acceptance rate = 24.6%, CCF A) read more

J. Wang, Q. Gu, J. Wu, G. Liu, and Z. Xiong, "Traffic speed prediction and congestion source exploration: A deep learning
method," 2016 IEEE 16th International Conference on Data Mining (ICDM'16), pp.499508. (Acceptance rate = 8.6%, CCF B) read more

J. Wang, Y. Mao, J. Li, Z. Xiong, and W.X. Wang, "Predictability of road traffic and congestion in urban areas," PloS
one, vol. 10, no. 4, pp.e0121825, 2015. (IF = 3.24) read more

C. Yin, Z. Xiong, H. Chen, J. Wang, D. Cooper, and B. David, "A literature survey on smart cities," Science
China Information Sciences (SCIS), vol. 58, no. 10, pp.118, 2015. (IF = 4.38) read more

J. Wang, F. Gao, P. Cui, C. Li, and Z. Xiong, "Discovering urban spatiotemporal structure from timeevolving traffic networks," AsiaPacific Web Conference
(APWeb'14), pp.93104.read more

Z. Zhai, B. Liu, J. Wang, H. Xu, and P. Jia, "Product feature grouping for opinion mining," IEEE
Intelligent Systems (IS), vol. 27, no. 4, pp.3744, 2011.(IF = 3.405) read
more
Transportation Protocols for Big Data

W. Jing, D. Tong, Y. Wang, J. Wang, Y.
Liu, and P. Zhao, "MaMR: Highperformance MapReduce programming model for material cloud applications," Computer Physics Communications (CPC), vol. 211, pp.7987,
2017.(IF = 4.39) read more

J. Wang, J. Wen, J. Zhang, Z. Xiong, and Y. Han, "TCPFIT: An improved TCP algorithm for heterogeneous networks," Journal of Network Computer Applications
(JNCA), vol. 71, pp.167180, 2016.(IF = 6.281) read more

J. Wang, J. Wen, C. Li, Z. Xiong, and Y. Han, "DCVegas: a delaybased TCP congestion control algorithm for datacenter applications," Journal of Network
Computer Applications (JNCA), vol. 53, pp.103114, 2015. (IF = 6.281) read more

J. Wang, J. Wen, Y. Han, J. Zhang, C. Li, and Z. Xiong, "CUBICFIT: A high performance and TCP CUBIC friendly congestion control algorithm," IEEE
Communications Letters (CL), vol. 17, no. 8, pp.16641667, 2013.(IF = 3.436) read more

J. Wang, J. Wen, J. Zhang, and Y. Han, "TCPFIT: An improved TCP congestion control algorithm and its performance," in Proceedings of IEEE International
Conference on Computer Communications and Networks (ICCCN'11), pp.28942902. read more

J. Wang, H. Li, Z. Zhai, X. Chen, and S. Yang, "An Improved TCP Friendly Rate Control Algorithm for Wireless Networks," IEICE Transactions on Fundamentals
of Electronics, Communications Computer Sciences (TFECCS), vol. 94, no. 11, pp.22952305, 2011.(IF = 0.388) read more