Xia Li received her Ph.D. from The Chinese University of Hong Kong in 1997. Her recent research focuses on intelligent information processing, computer vision, and intelligent systems. She has successfully led four National Natural Science Foundation of China (NSFC) projects and several others funded by the Ministry of Education, Guangdong Province, and Shenzhen Municipality. Dr. Li has been awarded two Guangdong Provincial Science and Technology Progress Awards. She has published over 100 academic papers in the fields of computer vision, machine learning, and artificial intelligence. Additionally, she has authored three textbooks and been granted 15 patents. Currently, Dr. Li serves as an Editorial Board Member of Chinese Journal of Electronics, as well as a reviewer for multiple international journals.

[1]1989: BEng in Electronic Engineering, Xidian University

[2]1992: Mphil in Signal and Information Processing, Xidian University.

[3]1997: PhD in Information Engineering, The Chinese University of Hong Kong.

[1]Since April 1997: Have held positions as Lecturer, Associate Professor, and Professor at the School of Electronic and Information Engineering, Shenzhen University.

[1]Recipient of two Guangdong Provincial Science and Technology Progress Awards.

[1]Multi-objective Optimization

[2]Pattern Recognition

[3]Intelligent Information Processing

[4]Computer Vision

[5]Multimedia Security

[6]Trajectory Prediction

[7]Traffic Anomaly Detection

[1]F. Meng, X. Li, and J. Pei, “A feature point matching based on spatial order constraints bilateral-neighbor vote,” IEEE Transactions on Image Processing (T-IP), vol. 24, no. 11, pp. 4160-4171, 2015.

[2]S. Jiao, P. W. M. Tsang, T.-C. Poon, J.-P. Liu, W. Zou, and X. Li, “Enhanced autofocusing in optical scanning holography based on hologram decomposition,” IEEE Transactions on Industrial Informatics (T-II), vol. 13, no. 5, pp. 2455-2463, 2017.

[3]Y. Chen, W. Zou, Y. Tang, X. Li, C. Xu, and N. Komodakis, “Scom: Spatiotemporal constrained optimization for salient object detection,” IEEE Transactions on Image Processing (T-IP), vol. 27, no. 7, pp. 3345–3357, 2018.

[4]Z. Jin, T. Tillo, W. Zou, Y. Zhao, and X. Li, “Robust plane detection using depth information from a consumer depth camera,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 29, no. 2, pp. 447-460, 2019.

[5]Z. Jin, M. Z. Iqbal, D. Bobkov, W. Zou, X. Li, and E. Steinbach, “A flexible deep cnn framework for image restoration,” IEEE Transactions on Multimedia (T-MM), vol. 22, no. 4, pp. 1055-1068, 2019.

[6]Z. Jin, M. Z. Iqbal, W. Zou, X. Li, and E. Steinbach, “Dual-stream multipath recursive residual network for jpeg image compression artifacts reduction,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 31, no. 2, pp. 467-479, 2020.

[7]R. Liang, Y. Li, X. Li, Y. Tang, J. Zhou, W. Zou,“Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021, pp. 2029-2037.

[8]J. You, Y. Li, J. Zhou, Z. Hua, W. Sun, and X. Li, “A transformer based approach for image manipulation chain detection,” in Proceedings of the ACM International Conference on Multimedia (ACMMM), 2021, pp. 3510-3517.

[9]Y. Su, N. Luo, Q. Lin, and X. Li, “Many-objective optimization by using an immune algorithm,” Swarm and Evolutionary Computation (SEC), p. 101026, 2021.

[10]Y. Li, J. Zhou and X. Li, “Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion”, IEEE Transactions on Computational Social Systems (T-CSS), vol.9, no.6, pp.1830-1841, 2022.

[11]Y. Li, R. Liang, W. Wei, W. Wang, J. Zhou and X. Li, “Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction”, IEEE Transactions on Network Science and Engineering (T-NSE), vol.9, no.3, pp.1006-1019, 2022.

[12]Y. C. Su, J. Du, Yuanman Li, X. Li, Z. Y. Hua and J. T Zhou, “Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol.23, no.9, pp. 16773-16785, 2022.

[13]J. Luo, L. Chen, X. Li, and Q. Zhang, “Novel multitask conditional neuralnetwork surrogate models for expensive optimization,” IEEE Transactions on Cybernetics (T-CYB), vol. 52, no. 5, pp. 3984-3997, 2022.

[14]R. Liang, Y. Li, C. Xie, R. Liang, J. Du, J. Zhou and X. Li, “STGlow: A Flow-Based Generative Framework with Dual-Graphormer for Pedestrian Trajectory Prediction”, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), in press, 2023.

[15]Y. Li, J. You, J. Zhou, W. Wang, X. Liao and X. Li, “Image Operation Chain Detection with Machine Translation Framework”, IEEE Transactions on Multimedia (T-MM), vol. 25, pp. 6852-6867, 2023.

[16]Y. Li, L. Hu, L. Dong, H. Wu, J. Tian, J. Zhou, and X. Li, “Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial Training”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 34, no. 3, pp. 1857-1872, 2024.

[17]Y. Li, M. Liu, J. Tian, J. Du, and X. Li, “Operation History Estimation and Its Application to Multi-Degraded Image Restoration”, IEEE Transactions on Consumer Electronics (T-CE), vol. 70, no. 1, pp. 863-875, 2024.

[18]Y. Su, Y. Li, W. Wang, J. Zhou and X. Li, “A Unified Environmental Network for Pedestrian Trajectory Prediction”, in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), in press, 2024.

[19]Y. Li, C. Xie, R. Liang, J. Du, J. Zhou and X. Li, “A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction”, IEEE Transactions on Network Science and Engineering (T-NSE), vol. 11, no. 1, pp. 793-806, 2024.

[20]R. Liang, Y. Li, J. Zhou, X. Li, “Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), in press, 2024.

[1]National Natural Science Foundation of China (NSFC) Project "Trajectory Prediction for Autonomous Driving Vehicles" (1.2019-12.2022) (Grant No. 61871273)

[2]National Natural Science Foundation of China (NSFC) Project "Research on Large-Scale Evolutionary Multi-Objective Optimization Based on Spectral Manifold Dimensionality Reduction" (1.2012-12.2015) (Grant No. 61171124)

[3]National Natural Science Foundation of China (NSFC) Project "Research on Hybrid Frog Leaping Algorithm and Its Application in Vehicle Routing Problems" (1.2008-1.2010) (Grant No. 60772148)

[4]National Natural Science Foundation of China (NSFC) Project "Research on Artificial Ant Colony Systems and Their Application in Image Compression Coding" (1.2004-12.2006) (Grant No. 60372087)