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Update: 2026-05-01

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JOURNAL PAPERS

  1. Yang Yu, Tengfei Zhang, Zhenyu Lei, Ziqian Wang, Yirui Wang, Bo Song, and Shangce Gao*, "An Enhanced Scale-Free Differential Evolution for Dendritic Neural Network Training," IEEE Transactions on Emerging Topics in Computational Intelligence, 2026. DOI: 10.1109/TETCI.2026.3683782, [PDF].

  2. Lu Yang, Jiujun Cheng, MengChu Zhou, Cong Liu, Zhangkai Ni, Mande Xie, and Shangce Gao*, "Integrated Perception, Communication, and Computation for Autonomous Vehicle and Road Infrastructure Network," IEEE Transactions on Mobile Computing, 2026. DOI: 10.1109/TMC.2026.3665193, [PDF].

  3. Qianhang Du, Zhenyu Lei, Jiujun Cheng, Masaaki Omura, Hideyuki Hasegawa, and Shangce Gao*, "High-order Interaction and Low-order Parallelization of Features Fusion with Novel Mamba-UNet Architecture for Medical Image Segmentation," IEEE/CAA Journal of Automatica Sinica, 2025. DOI: 10.1109/JAS.2026.125720.

  4. Chouyu Chen, Yaotong Song, Junyan Yi, Lijun Guo, Zhenyu Lei, and Shangce Gao*, "Potential-guided Connected Network for Tiny Structure Segmentation in Medical Images," IEEE/CAA Journal of Automatica Sinica, 2025. DOI: 10.1109/JAS.2025.125705.

  5. Jiayi Li, Zihang Zhang, Chao Zhang, Jun Tang, and Shangce Gao*, "SDformer: Fusing Series Decomposition for Superior Long-term Time Series Forecasting," IEEE/CAA Journal of Automatica Sinica, 2025. DOI: 10.1109/JAS.2025.125588.

  6. Zihang Zhang, Zhiming Zhang, Zhenyu Lei, Runqun Xiong, Jiujun Cheng, and Shangce Gao*, "Surrogate-assisted Differential Evolution for Wave Energy Converters Optimization," IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. DOI: 10.1109/TETCI.2024.3451612, [PDF].

  7. Jiujun Cheng, Lu Yang, Zhangkai Ni, Yuhong Li, Guangtao Zhou, Zhenhua Huang, and Shangce Gao*, "A Consensus Resistance-Based Autonomous Vehicle Social Group Self-Adaption Method," IEEE Transactions on Computational Social Systems, vol. 13, no. 2, pp. 1734-1744, April 2026. DOI: 10.1109/TCSS.2025.3623147, [PDF].

  8. Yuepeng Chen, Shangce Gao, Jiaru Yang, Tianyi Zhou, Fan Fu, and Weiping Ding, "A Knowledge-Guided Feature Fusion and Fuzzy Decision Integration Model for ECG-Based Cardiovascular Disease Diagnosis," IEEE Transactions on Fuzzy Systems, vol. 34, no. 4, pp. 1202-1216, April 2026. DOI: 10.1109/TFUZZ.2026.3652575, [PDF].

  9. Qingya Sui, Lin Zhong, Lianbo Ma, Ziqian Wang, Zhenyu Lei, and Shangce Gao*, "Inter-class and Intra-class Relationship Incorporated Knowledge Distillation for Continual Learning," IEEE Transactions on Artificial Intelligence, vol. 7, no. 4, pp. 2102-2111, April 2026. DOI: 10.1109/TAI.2025.3611366, [PDF].

  10. Yaotong Song, Kaiyu Wang, Zhi-Hui Zhan, Zhenyu Lei, and Shangce Gao*, "Learning-assisted Search Path Reconstruction Empowers Evolution Algorithm for Optimization," IEEE Transactions on Evolutionary Computation, vol. 30, no. 11, pp. 321–332, February 2026. DOI: 10.1109/TEVC.2025.3550259, [PDF].

  11. Jiaru Yang, Yaotong Song, Jun Tang, Weiping Ding, Zhenyu Lei, and Shangce Gao*, "Advanced 3D Wind Farm Layout Optimization Framework via Power-Law Perturbation-based Genetic Algorithm," IEEE/CAA Journal of Automatica Sinica, vol. 12, no. 11, pp. 2314-2328, December 2025. DOI: 10.1109/JAS.2025.125351, [PDF].

  12. Qichao Mao, Jiujun Cheng, MengChu Zhou, Zhangkai Ni, Shangce Gao, and Chuanhuang Li, "Edge Computing-based Contributed Perception and Autonomous Vehicle Groups in Open Scenes," IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 11, pp. 19697-19708, December 2025. DOI: 10.1109/TITS.2025.3605853, [PDF].

  13. Xiaotian Song, Han Ji, Jian Zhang, Jiyuan Liu, Shangce Gao, and Yanan Sun, "Online Performance Predictor for Evolutionary Neural Architecture Search," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 55, no. 11, pp. 8030-8044, December 2025. DOI: 10.1109/TSMC.2025.3599175, [PDF].

  14. Qichao Mao, Jiujun Cheng, MengChu Zhou, Zhangkai Ni, Guiyuan Yuan, Shangce Gao*, and Chuanhuang Li, "Contributed Perception-Based Dynamic Evolution Method for Autonomous Vehicle Groups in Open Scenes," IEEE Transactions on Mobile Computing, vol. 24, no. 12, pp. 13441-13458, December 2025. DOI: 10.1109/TMC.2025.3590653, [PDF].

  15. Han Zhang, Zhipeng Liu, Zhiming Zhang, Zhenyu Lei, Ziqian Wang, Hideyuki Hasegawa, and Shangce Gao*, "Dendritic Kernel Convolutional Neural Network for Breast Ultrasound Images Segmentation," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 55, no. 12, pp. 9483-9494, December 2025. DOI: 10.1109/TSMC.2025.3615627, [PDF].

  16. Lin Zhong, Yirui Wang, Kaiyu Wang, Qingya Sui, Zhenyu Lei, and Shangce Gao*, "Binary Tree Population Structure-based Differential Evolution," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 9, no. 6, pp. 3849-3861, December 2025. DOI: 10.1109/TETCI.2025.3551940, [PDF].

  17. Cong Liu, Huiling Li, Qingtian Zeng, Qi Mo, MengChu Zhou, Long Cheng, and Shangce Gao, "Behavior-Preserving Top-down Construction of Cross-organization Emergency Response Processes," IEEE/CAA Journal of Automatica Sinica, vol. 12, no. 12, pp. 2513–2524, December 2025. DOI: 10.1109/JAS.2025.125537, [PDF].

  18. Qianrui Yu, Zihang Zhang, Ziqian Wang, Haotian Li, Zhenyu Lei, and Shangce Gao*, "Quaternion Dendritic Neuron Model for Multivariate Financial Time Series Prediction," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 9, no. 5, pp. 3286-3297, October 2025. DOI: 10.1109/TETCI.2024.3485728, [PDF].

  19. Zebin Xiang, Jiujun Cheng, Cong Liu, Qichao Mao, Guiyuan Yuan, and Shangce Gao*, "Privacy-Preserving Autonomous Vehicle Group Formation in a Collusive Attack Scenario," IEEE Internet of Things Journal, vol. 12, no. 13, pp. 25576-25586, July 2025. DOI: 10.1109/JIOT.2025.3559151, [PDF].

  20. Chunyang Zhang, Yang Yu, Tengfei Zhang, Keyu Song, Yirui Wang, and Shangce Gao, "Short-Term Load Forecasting Based on Graph Convolution and Dendritic Deep Learning," IEEE Transactions on Network Science and Engineering, vol. 12, no. 4, pp. 3221-3233, July 2025. DOI: 10.1109/TNSE.2025.3558193, [PDF].

  21. Lu Yang, Jiujun Cheng, Yue Zhao, Zhangkai Ni, Qichao Mao, and Shangce Gao, "A Unified Software-Defined Autonomous Vehicle Network and Urban Congestion Prediction Method," IEEE Transactions on Network Science and Engineering, vol. 12, no. 4, pp. 2708-2721, July 2025. DOI: 10.1109/TNSE.2025.3553028, [PDF].

  22. Kaiyu Wang, Shangce Gao*, MengChu Zhou, Zhi-Hui Zhan, and Jiujun Cheng, "Fractional Order Differential Evolution," IEEE Transactions on Evolutionary Computation, vol. 29, no. 3, pp. 822-835, June 2025. (Highly Cited Paper, Top 1%) DOI: 10.1109/TEVC.2024.3382047, [PDF].

  23. Jian Cheng, Tian Zhang, Shuang Zhang, Huimin Ren, Guo Yu, Xiliang Zhang, Shangce Gao, and Lianbo Ma, "A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 9, no. 2, pp. 1130-1142, April 2025. DOI: 10.1109/TETCI.2024.3406440, [PDF].

  24. Zhiming Zhang, Zhenyu Lei, MengChu Zhou, Hideyuki Hasegawa, and Shangce Gao*, "Complex-valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 3, pp. 5668-5679, March 2025. DOI: 10.1109/TNNLS.2024.3384314, [PDF].

  25. Yuqi Feng, Zeqiong Lv, Hongyang Chen, Shangce Gao, Fengping An, and Yanan Sun, "LRNAS: Differentiable Searching for Adversarially Robust Lightweight Neural Architecture," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 3, pp. 5629-5643, March 2025. DOI: 10.1109/TNNLS.2024.3382724, [PDF].

  26. Zonghui Cai, Shangce Gao*, Xiao Yang, and MengChu Zhou, "Multiselection-based Differential Evolution," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 12, pp. 7318-7330, December 2024. DOI: 10.1109/TSMC.2024.3447051, [PDF].

  27. Jiayi Li, Zhenyu Lei, Zhiming Zhang, Haotian Li, Yuki Todo, and Shangce Gao*, "Alternating Excitation-Inhibition Dendritic Computing for Classification," IEEE Transactions on Artificial Intelligence, vol. 5, no. 11, pp. 5431-5441, November 2024. DOI: 10.1109/TAI.2024.3416236, [PDF].

  28. Zhenyu Lei, Shangce Gao*, Hideyuki Hasegawa, Zhiming Zhang, MengChu Zhou, and Khaled Sedraoui, "Fully Complex-Valued Gated Recurrent Neural Network for Ultrasound Imaging," IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 10, pp. 14918-14931, October 2024. DOI: 10.1109/TNNLS.2023.3282231, [PDF].

  29. Yurong Zhong, Kechen Liu, Shangce Gao, and Xin Luo, "Alternating-Direction-Method of Multipliers-based Adaptive Nonnegative Latent Factor Analysis," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 5, pp. 3544-3558, October 2024. DOI: 10.1109/TETCI.2024.3420735, [PDF].

  30. Yu Zhang, Pengxing Cai, Yanan Sun, Zhiming Zhang, Zhenyu Lei, and Shangce Gao*, "A Lightweight Multidendritic Pyramidal Neuron Model with Neural Plasticity on Image Recognition," IEEE Transactions on Artificial Intelligence, vol. 5, no. 9, pp. 4415-4427, September 2024. DOI: 10.1109/TAI.2024.3379968, [PDF].

  31. Qichao Mao, Jiujun Cheng, MengChu Zhou, Shangce Gao*, and Shoufei Han, "An Edge Computing-based Autonomous Vehicle Group Cooperation Model in a Highway Scene," IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 9682-9695, July 2024. DOI: 10.1109/TVT.2024.3375853, [PDF].

  32. Jinli Li, Xin Luo, Ye Yuan, and Shangce Gao, "A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis," IEEE Transactions on Automation Science and Engineering, vol. 21, no. 3, pp. 3742-3756, July 2024. DOI: 10.1109/TASE.2023.3284819, [PDF].

  33. Zhiming Zhang, Shangce Gao*, MengChu Zhou, Mengtao Yan, and Shuyang Cao, "Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulence Prediction," IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 6, pp. 1331-1341, June 2024. DOI: 10.1109/JAS.2024.124335, [PDF].

  34. Jiaru Yang, Kaiyu Wang, Yirui Wang, Jiahai Wang, Zhenyu Lei, and Shangce Gao*, "Dynamic Population Structures-based Differential Evolution Algorithm," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 3, pp. 2493-2505, June 2024. DOI: 10.1109/TETCI.2024.3367809, [PDF].

  35. Zhipeng Liu, Zhiming Zhang, Zhenyu Lei, Masaaki Omura, Rong-Long Wang, and Shangce Gao*, "Dendritic Deep Learning for Medical Segmentation," IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 3, pp. 803-805, March 2024. DOI: 10.1109/JAS.2023.123813, [PDF].

  36. Zhiming Zhang, Zhenyu Lei, Masaaki Omura, Hideyuki Hasegawa, and Shangce Gao*, "Dendritic Learning-incorporated Vision Transformer for Image Recognition," IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 2, pp. 539-541, February 2024. DOI: 10.1109/JAS.2023.123978, [PDF].

  37. Ziqian Wang, Shangce Gao*, Zhenyu Lei, and Masaaki Omura, "An Information-based Elite-guided Evolutionary Algorithm for Multi-objective Feature Selection," IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 1, pp. 264-266, January 2024. DOI: 10.1109/JAS.2023.123810, [PDF].

  38. GuiYuan Yuan, JiuJun Cheng, MengChu Zhou, Sheng Cheng, Shangce Gao*, ChangJun Jiang, and Abdullah Abusorrah, "An Autonomous Vehicle Group Cooperation Model in an Urban Scene," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 12, pp. 13852-13862, December 2023. DOI: 10.1109/TITS.2023.3300278, [PDF].

  39. Long Yao, Qing Lei, Hongbo Zhang, Jixiang Du, and Shangce Gao*, "A Contrastive Learning Network for Performance Metric and Assessment of Physical Rehabilitation Exercises," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 3790-3802, September 2023. DOI: 10.1109/TNSRE.2023.3317411, [PDF].

  40. Ziqian Wang, Shangce Gao*, MengChu Zhou, Syuhei Sato, Jiujun Cheng, and Jiahai Wang, "Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification," IEEE Transactions on Cybernetics, vol. 53, no. 8, pp. 5276-5289, August 2023. DOI: 10.1109/TCYB.2022.3185554, [PDF].

  41. Guiyuan Yuan, Jiujun Cheng, Qichao Mao, Shangce Gao*, Aiguo Zhou, and Qingtian Zeng, "An Autonomous Vehicle Group Model in an Urban Scene," IEEE Internet of Things Journal, vol. 10, no. 15, pp. 13521-13532, August 2023. DOI: 10.1109/JIOT.2023.3262640, [PDF].

  42. Guiyuan Yuan, Jiujun Cheng, MengChu Zhou, Sheng Cheng, Shangce Gao*, Changjun Jiang, and Abdullah Abusorrah, "A Dynamic Evolution Method for Autonomous Vehicle Groups in an Urban Scene," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3450-3460, June 2023. DOI: 10.1109/TSMC.2022.3226424, [PDF].

  43. Zhenyu Lei, Shangce Gao*, Zhiming Zhang, Haichuan Yang, and Haotian Li, "A Chaotic Local Search-based Particle Swarm Optimizer for Large-scale Complex Wind Farm Layout Optimization," IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 5, pp. 1168-1180, May 2023. DOI: 10.1109/JAS.2023.123387, [PDF].

  44. Zhiming Zhang, Shangce Gao*, Zhenyu Lei, Runqun Xiong, and Jiujun Cheng, "Pareto Dominance Archive and Coordinated Selection Strategy-Based Many-Objective Optimizer for Protein Structure Prediction," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 20, no. 3, pp. 2328-2340, May 2023. DOI: 10.1109/TCBB.2023.3247025, [PDF].

  45. Shangce Gao, MengChu Zhou, Ziqian Wang, Daiki Sugiyama, Jiujun Cheng, Jiahai Wang, and Yuki Todo, "Fully Complex-valued Dendritic Neuron Model," IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 4, pp. 2105-2118, April 2023. DOI: 10.1109/TNNLS.2021.3105901, [PDF].

  46. Shubham Gupta, Shitu Singh, Rong Su, Shangce Gao*, and Jagdish Bansal, "Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution," IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 1, pp. 135-158, January 2023. DOI: 10.1109/JAS.2023.123018, [PDF].

  47. ChiYan Lee, Hideyuki Hasegawa, and Shangce Gao*, "Complex-valued neural networks: A comprehensive survey," IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 8, pp. 1406-1426, August 2022. DOI: 10.1109/JAS.2022.105743, [PDF].

  48. Jiujun Cheng, Guiyuan Yuan, MengChu Zhou, Shangce Gao*, Cong Liu, and Changjun Jiang, "A Fluid Mechanics-based Model to Estimate VINET Capacity in an Urban Scene," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8606-8614, July 2022. DOI: 10.1109/TITS.2021.3083812, [PDF].

  49. Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, and Shangce Gao, "Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 6, pp. 3476-3491, June 2022. DOI: 10.1109/TSMC.2021.3069986, [PDF].

  50. Zhenyu Lei, Shangce Gao*, Zhiming Zhang, MengChu Zhou, and Jiujun Cheng, "MO4: A Many-objective Evolutionary Algorithm for Protein Structure Prediction," IEEE Transactions on Evolutionary Computation, vol. 26, no. 3, pp. 417-430, June 2022. DOI: 10.1109/TEVC.2021.3095481, [PDF].

  51. Yang Yu, Zhenyu Lei, Yirui Wang, Tengfei Zhang, Chen Peng, and Shangce Gao*, "Improving Dendritic Neuron Model with Dynamic Scale-free Network-based Differential Evolution," IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 1, pp. 99-110, January 2022. (Highly Cited Paper, Top 1%) DOI: 10.1109/JAS.2021.1004284, [PDF].

  52. Jiujun Cheng, Mingdong Ju, MengChu Zhou, Cong Liu, Shangce Gao*, Abdullah Abusorrah, and Changjun Jiang, "A Dynamic Evolution Method for Autonomous Vehicle Groups in a Highway Scene," IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1445-1457, January 2022. DOI: 10.1109/JIOT.2021.3086832, [PDF].

  53. Shangce Gao, Yang Yu, Yirui Wang, Jiahai Wang, Jiujun Cheng, and MengChu Zhou, "Chaotic Local Search-based Differential Evolution Algorithms for Optimization," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 6, pp. 3954-3967, June 2021. (Highly Cited Paper, Top 1%) DOI: 10.1109/TSMC.2019.2956121, [PDF].

  54. Jiujun Cheng, Chunrong Cao, Mengchu Zhou, Cong Liu, Shangce Gao*, and Changjun Jiang, "A Dynamic Evolution Mechanism for IoV Community in an Urban Scene," IEEE Internet of Things Journal, vol. 8, no. 9, pp. 7521-7530, May 2021. DOI: 10.1109/JIOT.2020.3039775, [PDF].

  55. Jiahai Wang, Liangsheng Yuan, Zizhen Zhang, Shangce Gao, Yuyan Sun, and Yalan Zhou, "Multiobjective Multiple Neighborhood Search Algorithms for Multiobjective Fleet Size and Mix Location-Routing Problem With Time Windows," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 4, pp. 2284-2298, April 2021. DOI: 10.1109/TSMC.2019.2912194, [PDF].

  56. Yirui Wang, Shangce Gao*, MengChu Zhou, and Yang Yu, "A Multi-layered Gravitational Search Algorithm for Function Optimization and Real-world Problems," IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 1, pp. 94-109, January 2021. (Highly Cited Paper, Top 1%) DOI: 10.1109/JAS.2020.1003462, [PDF].

  57. Jiujun Cheng, Guiyuan Yuan, Mengchu Zhou, Shangce Gao*, Zhenhua Huang, and Cong Liu, "A connectivity-prediction-based dynamic clustering model for VANET in an urban scene," IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8410-8418, September 2020. DOI: 10.1109/JIOT.2020.2990935, [PDF].

  58. Jiahai Wang, Binzhong Cen, Shangce Gao, Zizhen Zhang, and Yuren Zhou, "Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, no. 3, pp. 398-412, June 2020. DOI: 10.1109/TETCI.2018.2849380, [PDF].

  59. Jiahai Wang, Yuyan Sun, Zizhen Zhang, and Shangce Gao, "Solving multitrip pickup and delivery problem with time windows and manpower planning using multiobjective algorithms," IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 4, pp. 1134-1153, June 2020. DOI: 10.1109/JAS.2020.1003204, [PDF].

  60. Jiujun Cheng, Guiyuan Yuan, Mengchu Zhou, Shangce Gao*, Cong Liu, Hua Duan, and QingTian Zeng, "Accessibility analysis and modeling for IoV in an urban scene," IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 4246-4256, April 2020. DOI: 10.1109/TVT.2020.2970553, [PDF].

  61. Jiujun Cheng, Minjun Chen, MengChu Zhou, Shangce Gao*, Chunmei Liu, and Cong Liu, "Overlapping Community Change-Point Detection in an Evolving Network," IEEE Transactions on Big Data, vol. 6, no. 1, pp. 189-200, March 2020. DOI: 10.1109/TBDATA.2018.2880780, [PDF].

  62. Jian Sun, Shangce Gao*, Hongwei Dai, Jiujun Cheng, MengChu Zhou, and Jiahai Wang, "Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks," IEEE Transactions on Cybernetics, vol. 50, no. 1, pp. 233-246, January 2020. DOI: 10.1109/TCYB.2018.2868493, [PDF].

  63. Jiujun Cheng, Xiao Wu, Mengchu Zhou, Shangce Gao*, Zhenhua Huang, and Cong Liu, "A novel method for detecting new overlapping community in complex evolving networks," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 9, pp. 1832-1844, September 2019. DOI: 10.1109/TSMC.2017.2779138, [PDF].

  64. Jiujun Cheng, Guiyuan Yuan, MengChu Zhou, Shangce Gao*, Cong Liu, and Hua Duan, "A Fluid Mechanics-Based Data Flow Model to Estimate VANET Capacity," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 6, pp. 2603-2614, June 2019. DOI: 10.1109/TITS.2019.2921074, [PDF].

  65. Yang Yu, Shangce Gao*, Yirui Wang, and Yuki Todo, "Global Optimum-based Search Differential Evolution," IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 2, pp. 379-394, March 2019. DOI: 10.1109/JAS.2019.1911378, [PDF].

  66. Shangce Gao, MengChu Zhou, Yirui Wang, Jiujun Cheng, Hanaki Yachi, and Jiahai Wang, "Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction," IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 2, pp. 601-614, February 2019. (Highly Cited Paper, Top 1%) DOI: 10.1109/TNNLS.2018.2846646, [PDF].

  67. Shangce Gao, Shuangbao Song, Jiujun Cheng, Yuki Todo, and MengChu Zhou, "Incorporation of solvent effect into multi-objective evolutionary algorithm for improved protein structure prediction," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 4, pp. 1365-1378, July 2018. DOI: 10.1109/TCBB.2017.2705094, [PDF].

  68. Jiujun Cheng, JunLu Cheng, MengChu Zhou, FuQiang Liu, Shangce Gao, and Cong Liu, "Routing in Internet of vehicles: A review," IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 5, pp. 2339-2352, October 2015. (Highly Cited Paper, Top 1%) DOI: 10.1109/TITS.2015.2423667, [PDF].

CONFERENCE PAPERS

  1. Haowen Zhong, Jiujun Cheng, Haowen Wang, Chao Wei, Lu Yang, Qichao Mao, and Shangce Gao, "3D MeanFlow: One-Step Point Cloud Completion and Generation via Average-Velocity Transport," in Forty-Third International Conference on Machine Learning (ICML), July 2026.

  2. Qiuyang Zhang, Jiujun Cheng, Qichao Mao, Cong Liu, Yu Fang, Yuhong Li, Mengying Ge, and Shangce Gao, "SpikeTrack: A Spike-driven Framework for Efficient Visual Tracking," in IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR), June 2026.

  3. Yulu Wu, Jiujun Cheng, Haowen Wang, Dengyang Suo, Pei Ren, Qichao Mao, Shangce Gao, and Yakun Huang, "AOGen: A 3DGS-based Category-Level Articulated Object Manipulation Data Generator," in IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR), Findings Track, June 2026.

  4. Yun Liu, Yuqi Feng, Jiahao Fan, Shangce Gao, and Yanan Sun, "Learning Distributed Scheduling via LLM-Augmented Reinforcement Learning," in The 36th International Conference on Automated Planning and Scheduling (ICAPS 2026), June 2026.

  5. Haidong Kang, Lianbo Ma, Guo Yu, and Shangce Gao, "Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization," in Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pp. 5517-5526, August 2025. DOI: 10.24963/ijcai.2025/614, [PDF].

  6. Sisi Wang, Lijun Guo, Rong Zhang, Wenming He, Qiang Li, and Shangce Gao, "Tri-Hash Progressive Sampling Neural Attenuation Field for Sparse-View CBCT Reconstruction," in 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024), pp. 2577-2582, December 2024. DOI: 10.1109/BIBM62325.2024.10822431, [PDF].

  7. Shintaro Fuji, Syuhei Sato, Kei Iwasaki, Yoshinori Dobashi, Shangce Gao, and Zheng Tang, "Rendering of Scratched Transparent Materials using Precomputed SV-BSDFs," in ACM SIGGRAPH 2022 Posters, pp. 1-2, July 2022. DOI: 10.1145/3532719.3543207, [PDF].

  8. Sichen Tao, Yifei Yang, Ruihan Zhao, Kaiyu Wang, Sicheng Liu, and Shangce Gao*, "RDEx-CMOP: Feasibility-Aware Indicator-Guided Differential Evolution for Fixed-Budget Constrained Multiobjective Optimization," in IEEE Congress on Evolutionary Computation (IEEE CEC 2025), numerical optimisation competition (C06 special session), March 2026. (Champion (1st Place)) DOI: 10.48550/arXiv.2604.03708, [PDF].

  9. Sichen Tao, Yifei Yang, Ruihan Zhao, Kaiyu Wang, Sicheng Liu, and Shangce Gao*, "RDEx-MOP: Indicator-Guided Reconstructed Differential Evolution for Fixed-Budget Multiobjective Optimization," in IEEE Congress on Evolutionary Computation (IEEE CEC 2025), numerical optimisation competition (C06 special session), March 2026. (Champion (1st Place)) DOI: 10.48550/arXiv.2603.27092, [PDF].

  10. Sichen Tao, Yifei Yang, Ruihan Zhao, Kaiyu Wang, Sicheng Liu, and Shangce Gao*, "RDEx-CSOP: Feasibility-Aware Reconstructed Differential Evolution with Adaptive epsilon-Constraint Ranking," in IEEE Congress on Evolutionary Computation (IEEE CEC 2025), numerical optimisation competition (C06 special session), March 2026. (Champion (1st Place)) DOI: 10.48550/arXiv.2603.27090, [PDF].

  11. Sichen Tao, Yifei Yang, Ruihan Zhao, Kaiyu Wang, Sicheng Liu, and Shangce Gao*, "RDEx-SOP: Exploitation-Biased Reconstructed Differential Evolution for Fixed-Budget Bound-Constrained Single-Objective Optimization," in IEEE Congress on Evolutionary Computation (IEEE CEC 2025), numerical optimisation competition (C06 special session), March 2026. (Champion (1st Place)) DOI: 10.48550/arXiv.2603.27089, [PDF].

  12. Yuyao Tang, Kefan Ni, Zhenyu Lei, Jiayi Li, Zihang Zhang, and Shangce Gao*, "TriFusion-Mix Model: A Tri-Path Adaptive Fusion Framework for Molecular Representation Learning," in 2025 6th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2025), pp. 329-333, November 2025. (Best Student Paper Award) DOI: 10.1109/ISCEIC67854.2025.11405698, [PDF].

  13. Boyang Han, Shibo Dong, Haotian Li, Jiayi Li, and Shangce Gao*, "TGSA: An Elite Perturbation Strategy for Balanced Exploration-Exploitation," in 2025 6th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2025), pp. 274-278, November 2025. (Best Oral Presentation Award) DOI: 10.1109/ISCEIC67854.2025.11405519, [PDF].

  14. Jiayi Li, Yahan Sun, Chaopeng Ma, Zihang Zhang, Jiake Wang, Xiangmei Li, and Shangce Gao*, "MolLoRA: Low-Rank Adaptation of Large Language Models for Molecular Property Prediction," in 2025 The Thirteenth International Conference on Advanced Cloud and Big Data (CBD 2025), pp. 300-305, November 2025. (Best Paper Award) DOI: 10.1109/CBD69312.2025.00060, [PDF].

  15. Tao Zheng, Zhiwei Yu, Kefan Ni, Baohang Zhang, Zhenyu Lei, and Shangce Gao*, "Revolutionizing Wind Energy: A Compact Evolutionary Algorithm for Layout Optimization," in The 2025 9th International Conference on Electronic Information Technology and Computer Engineering (EITCE 2025), pp. 667-672, June 2025. (Best Paper Award) DOI: 10.1145/3766671.3766786, [PDF].

  16. Sichen Tao, Ruihan Zhao, Kaiyu Wang, Sicheng Liu, and Shangce Gao*, "An Efficient Reconstructed Differential Evolution Variant by Some of the Current State-of-the-art Strategies for Solving Single Objective Bound Constrained Problems," in IEEE Congress on Evolutionary Computation (IEEE CEC 2024), Competition on “numerical optimization considering accuracy and speed”, Bound constrained single objective problems, June 2024. (Runner-Up Award) DOI: 10.48550/arXiv.2404.16280, [PDF].

  17. Kaiyu Wang, Zhenyu Lei, Ziqian Wang, Zhiming Zhang, and Shangce Gao*, "Deep-Layered Differential Evolution," in The 13th International Conference on Swarm Intelligence Optimization Competition 2022 (ICSI-OC'2022), pp. 503-515, July 2022. (Silver Award) DOI: 10.1007/978-3-031-36625-3_40, [PDF].

  18. Hang Yu, Xiaoxiao Qian, Yang Yu, Jiujun Cheng, Ying Yu, and Shangce Gao*, "A Novel Mutual Information based Ant Colony Classifier," in IEEE 2017 International Conference on Progress in Informatics and Computing (IEEE PIC-2017), pp. 61-65, December 2017. (Best Oral Paper Award) DOI: 10.1109/PIC.2017.8359515, [PDF].

  19. Junkai Ji, Zhenyu Song, Yajiao Tang, Tao Jiang, and Shangce Gao*, "Training a Dendritic Neural Model with Genetic Algorithm for Classification Problems," in IEEE 2016 International Conference on Progress in Informatics and Computing (IEEE PIC-2016), pp. 47-50, December 2016. (Best Paper Award) DOI: 10.1109/PIC.2016.7949465, [PDF].

  20. Hang Yu, Zhe Xu, Shangce Gao*, Yirui Wang, and Yuki Todo, "PMPSO: A Near-Optimal Graph Planarization Algorithm using Probability Model based Particle Swarm Optimization," in IEEE 2015 International Conference on Progress in Informatics and Computing (IEEE PIC-2015), pp. 15-19, December 2015. (Best Post Paper Award) DOI: 10.1109/PIC.2015.7489801, [PDF].