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Biografia

Cong Liu é doutorado pela Eindhoven University of Technology, nos Países Baixos (2019), onde integrou o Process Mining Group. A sua investigação foca-se nas áreas de process mining, gestão de processos de negócio e inteligência artificial. É autor de mais de 100 publicações em revistas e conferências de referência, como IEEE Transactions on Services Computing, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Big Data, IEEE Transactions on Cloud Computing, IEEE/CAA Journal of Automatica Sinica, Information Sciences, Information Fusion, ICWS, ICPC e EuroVIS, entre outras. O seu trabalho conta com mais de 3.500 citações e um índice h de 29, de acordo com o Google Scholar.

Publicações Cientificas

Guo, N., Liu, C., Zeng, Q., Wu, Y., Zhang, J., Lu, X., & Cheng, L. (2026)

Detecting Root Causes for Process Performance Anomalies Using Causal Inference. IEEE Transactions on Services Computing, 19(1), 253-266. https://doi.org/10.1109/TSC.2026.3652244

He, Z., Ouyang, C., Wen, L., Liu, C., & Moreira, C. (2026)

TabAttackBench: A benchmark for adversarial attacks on tabular data. Expert Systems with Applications, 301, Article 130491. https://doi.org/10.1016/j.eswa.2025.130491

Li, H., Liu, C., Du, Q., Zeng, Q., Liu, H., Wang, Q., & Cheng, L. (2026)

Optimizing resource allocation for wind turbine maintenance through process and fault data fusion. Information Fusion, 126, 103678. https://doi.org/10.1016/j.inffus.2025.103678

Li, J., Zhang, Z., Lei, Z., Cheng, J., Ma, L., Liu, C., & Gao, S. (2026)

MoLA: Molecular multimodal layerwise adaptive network for molecular property prediction. Knowledge-Based Systems, 338, Article 115563. https://doi.org/10.1016/j.knosys.2026.115563

Lu, F., Liu, Y., Lin, Z., Han, X., & Liu, C. (2026)

SiamWT-CRNet: A Siamese Wavelet Network with Cross-Domain Feature Fusion for Dynamic Coal-Rock Recognition in Top-Coal Caving Systems. Applied Soft Computing, 186, Part A, Article 113984. https://doi.org/10.1016/j.asoc.2025.113984

Qiao, S., Gao, J., Wang, M., Guo, Q., Liu, C., Wang, S., Zhao, Z., & Shabaz, M. (2026)

Liquid-Sequencer: A Lightweight Liquid Neural Network for Real-Time Fetal Congenital Heart Disease Diagnosis. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2026.3668775

Song, B., Zhu, X., Yuan, G., Wang, H., & Liu, C. (2026)

Small Object Detection with Efficient Multi-Scale Collaborative Attention and Depth Feature Fusion Based on Detection Transformer. Applied Sciences (Switzerland), 16(4), Article 1673. https://doi.org/10.3390/app16041673

Song, R., Luo, X., Li, M., & Liu, C. (2026)

Modelling and analysing the uncertainty in business processes: pMeta-BPMN based on probability theory. Business Process Management Journal. https://doi.org/10.1108/BPMJ-09-2025-1429

Su, X., Liu, C., Zeng, Q., Zhang, J., & Cheng, L. (2026)

CrossEdgeIM: An Edge-Based Approach for Interactive Robotic Behavior Model Discovery. IEEE Internet of Things Magazine, 9(1), 55-60. https://doi.org/10.1109/MIOT.2025.3625047

Su, X., Liu, C., Zhang, S., Zeng, Q., Mo, Q., & Cheng, L. (2026)

Towards Efficient Support for Business Process Event Log Sampling. IEEE Transactions on Services Computing. https://doi.org/10.1109/TSC.2026.3665370

Wen, M., Liu, X., Ning, X., Liu, C., Chen, X., Nian, J., & Cheng, L. (2026)

Deep reinforcement learning for energy-efficient workflow scheduling in edge computing. Computer Networks, 274, Article 111790. https://doi.org/10.1016/j.comnet.2025.111790

Wu, X., Liu, S., Wang, W., Wang, L., Deng, X., Liu, C., & Yang, B. (2026)

Deep fuzzy clustering inference network and its application to non-destructively estimating strength of cement microstructure. Neurocomputing, 674, Article 132900. https://doi.org/10.1016/j.neucom.2026.132900

Yan, J., Liu, C., Zeng, Q., Cao, J., Wu, Y., Ouyang, C., & Cheng, L. (2026)

Enhancing Process Discovery by Optimizing Imprecise Sub-processes. IEEE Transactions on Services Computing, 19(1), 337-350. https://doi.org/10.1109/TSC.2026.3652280

Yang, L., Cheng, J., Zhou, M., Liu, C., Ni, Z., & Xie, M. (2026)

Integrated Perception, Communication, and Computation for Autonomous Vehicle and Road Infrastructure Network. IEEE Transactions on Mobile Computing. https://doi.org/10.1109/TMC.2026.3665193

Yin, W., He, X., Zhao, Z., Li, H., & Liu, C. (2026)

Trust-Aware Blockchain Reinforcement Learning for Secure Task Offloading in Edge-Assisted IoV. IEEE Communications Standards Magazine. https://doi.org/10.1109/MCOMSTD.2026.3653017

Zhang, R., Zhang, F., & Liu, C. (2026)

An efficient knowledge tracing model via Mamba Contextual Encoding and Dynamic Sparse Attention mechanism. Engineering Applications Of Artificial Intelligence, 171, Article 114312. https://doi.org/10.1016/j.engappai.2026.114312

Zhang, X., Fang, X., Gong, J., Mao, G., & Liu, C. (2026)

Transparent Business Process Outcome Prediction using a Graph Stochastic Attention Mechanism. IEEE Transactions on Services Computing, 19(1), 712-725. https://doi.org/10.1109/TSC.2025.3644861

Chen, Q., Zhang, Z., Zhang, Z., Zhang, K., Li, D., Wang, W., Zhang, J., & Liu, C. (2025)

Distilled large language model-driven dynamic sparse expert activation mechanism. Applied Soft Computing, 185, Part B, Article 114037. https://doi.org/10.1016/j.asoc.2025.114037

Guo, N., Liu, C., Mo, Q., Cao, J., Ouyang, C., Lu, X., & Zeng, Q. (2025)

Business Process Remaining Time Prediction Based on Incremental Event Logs. IEEE Transactions on Services Computing, 18(3), 1308–1320. https://doi.org/10.1109/TSC.2025.3562338

He, Y., Ren, Y., Yue, M., Zhang, L., Liu, C., & Li, C. (2025)

Indoor Dark Light Video Positioning Algorithm Based on Backbone Structure From Motion. IEEE Sensors Journal, 25(15), 29509–29523. https://doi.org/10.1109/JSEN.2025.3581284

Li, H., Liu, C., Du, Q., Zeng, Q., Zhang, J., Theodoropoulo, G., & Cheng, L. (2025)

Sampling-Based Next-Event Prediction for Wind-Turbine Maintenance Processes. Energies, 18(16), 4238. https://doi.org/10.3390/en18164238

Li, S., Bao, Y., Lu, F., Yu, C., & Liu, C. (2025)

A use-after-free vulnerability detection method for multi-threaded programs based on an improved Petri net and value flow graph. IEEE Access, 13, 177994-178005. https://doi.org/10.1109/ACCESS.2025.3620811

Liu, C., Li, H., Zeng, Q., Mo, Q., Zhou, M., Cheng, L., & Gao, S. (2025)

Behavior-Preserving Top-Down Construction of Cross-Organization Emergency Response Processes. IEEE/CAA Journal of Automatica Sinica, 12(12), 2513-2524. https://doi.org/10.1109/JAS.2025.125537

Liu, C., Liu, W., Guo, N., Song, R., Gu, Y., Cheng, L., & Zeng, Q. (2025)

Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications. Journal of Cloud Computing, 14, Article 36. https://doi.org/10.1186/s13677-025-00763-8

Lu, T., Li, H., Zeng, Q., Duan, H., & Liu, C. (2025)

Modeling and Performance Optimization for Complex Workflow in IoT. Emerging Science Journal, 9(5), 2318-2330. https://doi.org/10.28991/ESJ-2025-09-05-02

Pei, H., Gu, Y., Sun, Y., Wang, Q., Liu, C., Chen, X., & Cheng, L. (2025)

LLM-based cost-aware task scheduling for cloud computing systems. Journal of Cloud Computing, 14, Article 81. https://doi.org/10.1186/s13677-025-00822-0

Wang, Q., Zhang, L., Cao, R., Guo, N., Zhang, H., & Liu, C. (2025)

A Process Tree-Based Incomplete Event Log Repair Approach. Information, 16(5), 390. https://doi.org/10.3390/info16050390

Wu, Y., Dong, Z., Liu, J., Li, Y., Liu, C., Wen, L., & Wu, X. (2025)

OER-Miner: One-off episode rule mining for process event logs. IEEE Transactions on Emerging Topics in Computing, 13(4), 1497-1509. https://doi.org/10.1109/TETC.2025.3607892

Xiang, Z., Cheng, J., Liu, C., Mao, Q., Yuan, G., & Gao, S. (2025)

Privacy-Preserving Autonomous Vehicle Group Formation in a Collusive Attack Scenario. IEEE Internet of Things Journal, 12(13), 25576–25586. https://doi.org/10.1109/JIOT.2025.3559151

Xiong, M., Zhang, Q., Li, D., Wang, W., Zhang, Z., Zhang, K., Liu, C., Chen, D., & Zhang, J. (2025)

Fine-tuning feature interaction for unsupervised domain adaptive low-light object detection. Neurocomputing, 131717. https://doi.org/10.1016/j.neucom.2025.131717

Zhang, A., Liu, C., Makantasis, K., Chen, X., Ward, T., & Cheng, L. (2025)

DuMES: Deep Reinforcement Learning‐Based EV Charging Scheduling With Dual‐Layer Safety Modules. IET Smart Energy Systems, 1(3), 232-246. https://doi.org/10.1049/ses2.70017

Zou, M., Zeng, Q., Liu, C., Cao, R., Chen, S., & Zhao, Z. (2025)

Prediction of Remaining Execution Time of Business Processes With Multiperson Collaboration in Assembly Line Production. IEEE Transactions on Computational Social Systems, 12(3), 1279–1295. https://doi.org/10.1109/TCSS.2024.3455418

Su, X., Liu, C., Lu, F., Cheng, L., Zeng, Q., & Zhang, S. (2025)

EdgeIM: An Efficient Edge-Based Process Model Discovery Technique. In R. N. Chang, C. K. Chang, J. Yang, N. Atukorala, D. Chen, S. Helal, S. Tarkoma, Q. He, T. Kosar, C. A. Ardagna, A. Beheshti, B. Cheng, & W. Gaaloul (Eds.), 2025 IEEE International Conference on Web Services: IEEE ICWS 2025 (pp. 404-410). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICWS67624.2025.00057

Su, X., Liu, C., Lu, F., Cheng, L., Zeng, Q., & Zhou, J. (2025)

Enhancing Healthcare Process Model Discovery Through Duplicate Task Identification. In R. N. Chang, C. K. Chang, J. Yang, N. Atukorala, D. Chen, S. Helal, S. Tarkoma, Q. He, T. Kosar, C. A. Ardagna, A. Beheshti, B. Cheng, & W. Gaaloul (Eds.), 2025 IEEE International Conference on Web Services: IEEE ICWS 2025 (pp. 477-483). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICWS67624.2025.00067

Yan, J., Liu, C., Cheng, L., Cheng, J., & Zeng, Q. (2025)

Enhancing Manufacturing Process Discovery Through Sub-Process Optimization. In R. N. Chang, C. K. Chang, J. Yang, N. Atukorala, D. Chen, S. Helal, S. Tarkoma, Q. He, T. Kosar, C. A. Ardagna, A. Beheshti, B. Cheng, & W. Gaaloul (Eds.), 2025 IEEE International Conference on Web Services: IEEE ICWS 2025 (pp. 428-434). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICWS67624.2025.00061