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A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems
Chen, Xiaoqian; Gong, Zhiqiang; Zhao, Xiaoyu; Zhou, Weien; Yao, Wen
Sci China Inf Sci, 2023, 66(5): 152203
Keywords: temperature field reconstruction; heat-source systems; computational modeling; temperature field reconstruction dataset; machine learning surrogate modeling; deep learning
Cite as: Chen X Q, Gong Z Q, Zhao X Y, et al. A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. Sci China Inf Sci, 2023, 66(5): 152203, doi: 10.1007/s11432-021-3645-4

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Feedback is all you need: from ChatGPT to autonomous driving
Chen, Hong; Yuan, Kang; Huang, Yanjun; Guo, Lulu; Wang, Yulei; Chen, Jie
Sci China Inf Sci, 2023, 66(6): 166201
Keywords: feedback; human feedback; ChatGPT; autonomous driving; autonomous intelligent systems
Cite as: Chen H, Yuan K, Huang Y J, et al. Feedback is all you need: from ChatGPT to autonomous driving. Sci China Inf Sci, 2023, 66(6): 166201, doi: 10.1007/s11432-023-3740-x

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Constrained reinforcement learning with statewise projection: a control barrier function approach
Jin, Xinze; Li, Kuo; Jia, Qingshan
Sci China Inf Sci, 2024, 67(3): 132202
Keywords: reinforcement learning; safe projection; control barrier function
Cite as: Jin X Z, Li K, Jia Q S. Constrained reinforcement learning with statewise projection: a control barrier function approach. Sci China Inf Sci, 2024, 67(3): 132202, doi: 10.1007/s11432-023-3872-9

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Obstacle avoidance in human-robot cooperative transportation with force constraint
Zhang, Ying; Yang, Chenguang; Xu, Sheng; Ou, Yongsheng
Sci China Inf Sci, 2023, 66(1): 119205
Keywords: human-robot interaction; dynamic movement primitives; Gaussian mixture regression; GMR; collision avoidance; force constrain
Cite as: Zhang Y, Yang C G, Xu S, et al. Obstacle avoidance in human-robot cooperative transportation with force constraint. Sci China Inf Sci, 2023, 66(1): 119205, doi: 10.1007/s11432-021-3389-7

MOOP Video Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 5

Optics-driven drone
Li, Xuelong; Huang, Guan; Wang, Zhigang; Zhao, Bin
Sci China Inf Sci, 2024, 67(2): 124201
Keywords: drone; artificial intelligence; adaptive turbulence compensation; intelligent visual tracking; autonomous power regulation; laser wireless power transmission
Cite as: Li X L, Huang G, Wang Z G, et al. Optics-driven drone. Sci China Inf Sci, 2024, 67(2): 124201, doi: 10.1007/s11432-023-3917-2

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Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence
Wang, Long; Fu, Feng; Chen, Xingru
Sci China Inf Sci, 2024, 67(6): 166201
Keywords: evolutionary dynamics; stochastic games; reinforcement learning; multi-agent system; cooperative artificial intelligence; collective reinforcement learning dynamics
Cite as: Wang L, Fu F, Chen X R. Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence. Sci China Inf Sci, 2024, 67(6): 166201, doi: 10.1007/s11432-024-3997-0

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All-day perception for intelligent vehicles: switching perception algorithms based on WBCNet
Xie, Hongbin; Zhao, Haiyan; Xu, Chengcheng; Chen, Hong
Sci China Inf Sci, 2024, 67(11): 212208
Keywords: driving scene classification; intelligent vehicle; safe driving; convolutional neural network; attention mechanism
Cite as: Xie H B, Zhao H Y, Xu C C, et al. All-day perception for intelligent vehicles: switching perception algorithms based on WBCNet. Sci China Inf Sci, 2024, 67(11): 212208, doi: 10.1007/s11432-023-4116-5

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Spiking neural networks in intelligent control systems: a perspective
Zhang, Anguo; Song, Yongduan
Sci China Inf Sci, 2024, 67(7): 176201
Keywords: spiking neural networks; control systems; artificial neural networks; intelligent control; brain-like intelligent systems
Cite as: Zhang A G, Song Y D. Spiking neural networks in intelligent control systems: a perspective. Sci China Inf Sci, 2024, 67(7): 176201, doi: 10.1007/s11432-023-4000-x

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Cuckoo search approach for automatic train regulation under capacity limitation
Hou, Zhuopu; Zhou, Min; Roberts, Clive; Dong, Hairong
Sci China Inf Sci, 2023, 66(4): 149204
Keywords: automatic train regulation; capacity limitation; cuckoo search algorithm; passenger flow information ; Train dwell time model
Cite as: Hou Z P, Zhou M, Roberts C, et al. Cuckoo search approach for automatic train regulation under capacity limitation. Sci China Inf Sci, 2023, 66(4): 149204, doi: 10.1007/s11432-020-3254-0

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A novel frequency-dependent hysteresis model based on improved neural Turing machine
Wu, Yinan; Fang, Yongchun; Fan, Zhi; Liu, Cunhuan
Sci China Inf Sci, 2023, 66(1): 119203
Keywords: piezoelectric actuator; hysteresis model; frequency-dependence; neural Turing machine; neural network
Cite as: Wu Y N, Fang Y C, Fan Z, et al. A novel frequency-dependent hysteresis model based on improved neural Turing machine. Sci China Inf Sci, 2023, 66(1): 119203, doi: 10.1007/s11432-020-3157-5

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Graph-based strategy evaluation for large-scale multiagent reinforcement learning
Sun Y Y, Liu M Q, Zhang S L, et al
Sci China Inf Sci, 2025, 68(8): 182206
Keywords: strategy evaluation; large-scale multiagent reinforcement learning; graph grouping; best response; sink equilibrium
Cite as: Sun Y Y, Liu M Q, Zhang S L, et al. Graph-based strategy evaluation for large-scale multiagent reinforcement learning. Sci China Inf Sci, 2025, 68(8): 182206, doi: 10.1007/s11432-024-4223-2

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Single-layer feedforward neural networks with dynamic width for domain adaptation
Yang L, Yang Z L, Li F, et al
Sci China Inf Sci, 2025, 68(8): 182205
Keywords: domain adaptation; broad learning system; BLS; image classification; fault diagnosis; neural networks
Cite as: Yang L, Yang Z L, Li F, et al. Single-layer feedforward neural networks with dynamic width for domain adaptation. Sci China Inf Sci, 2025, 68(8): 182205, doi: 10.1007/s11432-024-4273-8

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A deep reinforcement learning model for large-scale traffic signal control based on graph meta-learning using local subgraphs
Zhou Z C, Zhang Y, Li X D
Sci China Inf Sci, 2025, 68(7): 172203
Keywords: deep reinforcement learning; traffic signal control; multiagent system; graph neural network
Cite as: Zhou Z C, Zhang Y, Li X D. A deep reinforcement learning model for large-scale traffic signal control based on graph meta-learning using local subgraphs. Sci China Inf Sci, 2025, 68(7): 172203, doi: 10.1007/s11432-023-4280-6

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Toward eFAST autonomous robotic ultrasound imaging: system integrations and experimental studies
Huo, Zixuan; Wu, Hang; Xu, Ruifang; Yuan, Mingxing; Zhang, Xuebo
Sci China Inf Sci, 2025, 68(3): 139203
Keywords: robot; ultrasound scanning; eFAST; system integration and calibration; force tracking
Cite as: Huo Z X, Wu H, Xu R F, et al. Toward eFAST autonomous robotic ultrasound imaging: system integrations and experimental studies. Sci China Inf Sci, 2025, 68(3): 139203, doi: 10.1007/s11432-024-4288-3

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Artificial intelligence-assisted design of new chemical materials: a perspective
Qian, Feng; Du, Wenli; Zhong, Weimin; Tang, Yang; Lu, Jingyi
Sci China Inf Sci, 2024, 67(8): 186201
Keywords: artificial intelligence; Chemical New Materials; process manufacturing; cyber-physical systems; industrial intelligence
Cite as: Qian F, Du W L, Zhong W M, et al. Artificial intelligence-assisted design of new chemical materials: a perspective. Sci China Inf Sci, 2024, 67(8): 186201, doi: 10.1007/s11432-023-4096-9

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Skill enhancement learning with knowledge distillation
Liu, Naijun; Sun, Fuchun; Fang, Bin; Liu, Huaping
Sci China Inf Sci, 2024, 67(8): 182203
Keywords: skill learning; enhancement learning; reinforcement learning; knowledge distillation
Cite as: Liu N J, Sun F C, Fang B, et al. Skill enhancement learning with knowledge distillation. Sci China Inf Sci, 2024, 67(8): 182203, doi: 10.1007/s11432-023-4016-0

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Ensemble successor representations for task generalization in offline-to-online reinforcement learning
Wang, Changhong; Yu, Xudong; Bai, Chenjia; Zhang, Qiaosheng; Wang, Zhen
Sci China Inf Sci, 2024, 67(7): 172203
Keywords: offline reinforcement learning; online fine-tuning; task generalization; successor representations; ensembles
Cite as: Wang C H, Yu X D, Bai C J, et al. Ensemble successor representations for task generalization in offline-to-online reinforcement learning. Sci China Inf Sci, 2024, 67(7): 172203, doi: 10.1007/s11432-023-4028-1

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Logit prototype learning with active multimodal representation for robust open-set recognition
Fu, Yimin; Liu, Zhunga; Wang, Zicheng
Sci China Inf Sci, 2024, 67(6): 162204
Keywords: logit prototype learning; multimodal perception; open-set recognition; uncertainty estimation
Cite as: Fu Y M, Liu Z G, Wang Z C. Logit prototype learning with active multimodal representation for robust open-set recognition. Sci China Inf Sci, 2024, 67(6): 162204, doi: 10.1007/s11432-023-3924-x