Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
SCIS Selected Articles on Large Language Models (LLM)
Highly Cited in 202603 人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 66

DiagLLM: multimodal reasoning with large language model for explainable bearing fault diagnosis
Wang, Jie; Li, Tianrui; Yang, Yan; Chen, Shiqian; Zhai, Wanming
Sci China Inf Sci, 2025, 68(6): 160103
Keywords: large language model; fault diagnosis; cross-dataset generalization; multimodal learning; multimodal fusion
Cite as: Wang J, Li T R, Yang Y, et al. DiagLLM: multimodal reasoning with large language model for explainable bearing fault diagnosis. Sci China Inf Sci, 2025, 68: 160103, doi: 10.1007/s11432-024-4333-7

Highly Cited in 202509 人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 48

Domain generalization with semi-supervised learning for people-centric activity recognition
Liu, Jing; Zhu, Wei; Li, Di; Hu, Xing; Song, Liang
Sci China Inf Sci, 2025, 68(1): 112103
Keywords: activity recognition; deep learning; domain generalization; semi-supervised learning; adversarial training
Cite as: Liu J, Zhu W, Li D, et al. Domain generalization with semi-supervised learning for people-centric activity recognition. Sci China Inf Sci, 2025, 68: 112103, doi: 10.1007/s11432-022-3860-y

Highly Cited in 202603 人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 32

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling
Ju, Wei; Gu, Yiyang; Mao, Zhengyang; Qiao, Ziyue; Qin, Yifang; Luo, Xiao; Xiong, Hui; Zhang, Ming
Sci China Inf Sci, 2025, 68(1): 112101
Keywords: graph representation learning; graph neural networks; graph contrastive learning; graph augmentations; graph pooling
Cite as: Ju W, Gu Y Y, Mao Z Y, et al. GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling. Sci China Inf Sci, 2025, 68: 112101, doi: 10.1007/s11432-022-3952-3

人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 27

Multi-topology contrastive graph representation learning
Xie, Yu; Jia, Jie; Wen, Chao; Li, Deyu; Li, Ming
Sci China Inf Sci, 2026, 69(2): 122102
Keywords: graph representation learning; self-supervised contrastive learning; graph neural networks; multiple topologies; semantic consistency
Cite as: Xie Y, Jia J, Wen C, et al. Multi-topology contrastive graph representation learning. Sci China Inf Sci, 2026, 69: 122102, doi: 10.1007/s11432-024-4467-3

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 15

Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning
Fu, Sichao; Peng, Qinmu; He, Yange; Du, Baokun; Zou, Bin; Jing, Xiao-Yuan; You, Xinge
Sci China Inf Sci, 2025, 68(3): 132102
Keywords: unsupervised multiplex graph representation learning; graph neural networks; node classification; node clustering
Cite as: Fu S C, Peng Q M, He Y G, et al. Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning. Sci China Inf Sci, 2025, 68: 132102, doi: 10.1007/s11432-023-3939-1

SCIS Selected Articles on Large Language Models (LLM)
人工智能 REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Embodied navigation
Liu, Yunhao; Liu, Li; Zheng, Yawen; Liu, Yunhuai; Dang, Fan; Li, Ningbo; Ma, Ke
Sci China Inf Sci, 2025, 68(4): 141101
Keywords: artificial intelligence; Internet of Things; embodied AI; navigation; perception; LLM
Cite as: Liu Y H, Liu L, Zheng Y W, et al. Embodied navigation. Sci China Inf Sci, 2025, 68: 141101, doi: 10.1007/s11432-024-4303-8

人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Partial multi-label learning via label-specific feature corrections
Hang, Jun-Yi; Zhang, Min-Ling
Sci China Inf Sci, 2025, 68(3): 132104
Keywords: machine learning; multi-label learning; partial multi-label learning; label-specific features; feature correction
Cite as: Hang J-Y, Zhang M-L. Partial multi-label learning via label-specific feature corrections. Sci China Inf Sci, 2025, 68: 132104, doi: 10.1007/s11432-023-4230-2

人工智能 LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 9

OIP-Miner: one-off incremental sequential pattern mining with forgetting factor
Wu, Youxi; Tian, Shuang; Li, Yan; Liu, Jing; Li, Jinyan; Wang, Wenjian; Wu, Xindong
Sci China Inf Sci, 2025, 68(10): 209101
Keywords: sequential pattern mining; forgetting factor; candidate pattern; pattern join; pruning strategy
Cite as: Wu Y X, Tian S, Li Y, et al. OIP-Miner: one-off incremental sequential pattern mining with forgetting factor. Sci China Inf Sci, 2025, 68: 209101, doi: 10.1007/s11432-024-4496-9

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
SCIS Selected Articles on Large Language Models (LLM)
人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Agent4Vul: multimodal LLM agents for smart contract vulnerability detection
Jie, Wanqing; Qiu, Wangjie; Yang, Haofu; Guo, Muyuan; Huang, Xinpeng; Lei, Tianyu; Zhang, Qinnan; Zheng, Hongwei; Zheng, Zhiming
Sci China Inf Sci, 2025, 68(6): 160101
Keywords: smart contract; vulnerability detection; LLM; agent; multimodal learning
Cite as: Jie W Q, Qiu W J, Yang H F, et al. Agent4Vul: multimodal LLM agents for smart contract vulnerability detection. Sci China Inf Sci, 2025, 68: 160101, doi: 10.1007/s11432-024-4402-2

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 7

Attribute grouping-based naive Bayesian classifier
He, Yulin; Ou, Guiliang; Fournier-Viger, Philippe; Huang, Joshua Zhexue
Sci China Inf Sci, 2025, 68(3): 132106
Keywords: naive Bayesian classifier; attribute independence assumption; attribute grouping; dependent attribute group; posterior probability; class-conditional probability
Cite as: He Y L, Ou G L, Fournier-Viger P, et al. Attribute grouping-based naive Bayesian classifier. Sci China Inf Sci, 2025, 68: 132106, doi: 10.1007/s11432-022-3728-2

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

Revisiting federated learning with label skew: an over-confidence perspective
Ye, Mang; Huang, Wenke; Shi, Zekun; Li, He; Du, Bo
Sci China Inf Sci, 2025, 68(9): 192102
Keywords: federated learning; label skew; over-confidence
Cite as: Ye M, Huang W K, Shi Z K, et al. Revisiting federated learning with label skew: an over-confidence perspective. Sci China Inf Sci, 2025, 68: 192102, doi: 10.1007/s11432-023-4202-1

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

MindScore: quantifying human preference for text-to-image generation through multi-view lens
Tong, Yiqi; Zhang, Jiarui; Wei, Shaohang; Guo, Wei; Zhuang, Fuzhen; Wang, Deqing; Yang, Xi; Xuan, Richeng
Sci China Inf Sci, 2025, 68(6): 160105
Keywords: text-to-image generation; foundation models; human preference evaluation; multi-view assessment; language and vision
Cite as: Tong Y Q, Zhang J R, Wei S H, et al. MindScore: quantifying human preference for text-to-image generation through multi-view lens. Sci China Inf Sci, 2025, 68: 160105, doi: 10.1007/s11432-024-4401-y

人工智能 NEWS & VIEWS Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

PILOT: a pre-trained model-based continual learning toolbox
Sun, Hai-Long; Zhou, Da-Wei; Zhan, De-Chuan; Ye, Han-Jia
Sci China Inf Sci, 2025, 68(4): 147101
Keywords: continual learning; pre-trained models; incremental learning; vision transformer; vision-language model
Cite as: Sun H-L, Zhou D-W, Zhan D-C, et al. PILOT: a pre-trained model-based continual learning toolbox. Sci China Inf Sci, 2025, 68: 147101, doi: 10.1007/s11432-024-4276-4

SCIS Selected Articles on Large Language Models (LLM)
人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

What is wrong with your code generated by large language models? An extensive study
Dou, Shihan; Jia, Haoxiang; Wu, Shenxi; Zheng, Huiyuan; Wu, Muling; Tao, Yunbo; Zhang, Ming; Chai, Mingxu; Fan, Jessica; Xi, Zhiheng; Zheng, Rui; Wu, Yueming; Wen, Ming; Gui, Tao; Zhang, Qi; Qiu, Xipeng; Huang, Xuanjing
Sci China Inf Sci, 2026, 69(1): 112107
Keywords: code generation; LLM; bug taxonomy; real-world benchmark
Cite as: Dou S H, Jia H X, Wu S X, et al. What is wrong with your code generated by large language models? An extensive study. Sci China Inf Sci, 2026, 69: 112107, doi: 10.1007/s11432-025-4632-8

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

LEDNet: a multimodal foundation model for robust deepfake detection
Tao, Renshuai; Tang, Shijie; Qin, Haotong; Wang, Wei; Wei, Yunchao; Zhao, Yao
Sci China Inf Sci, 2025, 68(6): 160106
Keywords: computer vision; multimodel foundation model; deepfake detection
Cite as: Tao R S, Tang S J, Qin H T, et al. LEDNet: a multimodal foundation model for robust deepfake detection. Sci China Inf Sci, 2025, 68: 160106, doi: 10.1007/s11432-024-4400-8

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

AsyCo: an asymmetric dual-task co-training model for partial-label learning
Li, Beibei; Zheng, Yiyuan; Jin, Beihong; Xiang, Tao; Wang, Haobo; Feng, Lei
Sci China Inf Sci, 2025, 68(5): 152101
Keywords: machine learning; weakly supervised learning; partial-label learning; co-training models; candidate label sets
Cite as: Li B B, Zheng Y Y, Jin B H, et al. AsyCo: an asymmetric dual-task co-training model for partial-label learning. Sci China Inf Sci, 2025, 68: 152101, doi: 10.1007/s11432-023-4068-1

人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Federated local causal structure learning
Yu, Kui; Rong, Chen; Wang, Hao; Cao, Fuyuan; Liang, Jiye
Sci China Inf Sci, 2025, 68(3): 132105
Keywords: local causal structure learning; federated learning; directed acyclic graph; privacy-preserving data; federated layer-wise strategy
Cite as: Yu K, Rong C, Wang H, et al. Federated local causal structure learning. Sci China Inf Sci, 2025, 68: 132105, doi: 10.1007/s11432-023-4203-6

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Fractal autoencoder with redundancy regularization for unsupervised feature selection
Sun, Meiting; Li, Fangyu; Han, Honggui
Sci China Inf Sci, 2025, 68(2): 122103
Keywords: unsupervised feature selection; fractal autoencoder; correspondence neural network; selection neural network; redundancy regularization strategy
Cite as: Sun M T, Li F Y, Han H G. Fractal autoencoder with redundancy regularization for unsupervised feature selection. Sci China Inf Sci, 2025, 68: 122103, doi: 10.1007/s11432-023-4132-0

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Noise-augmented multi-modal entity alignment with confidence-based dynamic fusion
Luo, Xiangyu; Zhang, Yan; Zhang, Miao; Xiao, Kui; Huang, Wenxing; Li, Zhifei
Sci China Inf Sci, 2026, 69(7): 172105
Keywords: multi-modal knowledge graphs; multi-modal entity alignment; dynamic fusion
Cite as: Luo X Y, Zhang Y, Zhang M, et al. Noise-augmented multi-modal entity alignment with confidence-based dynamic fusion. Sci China Inf Sci, 2026, 69: 172105, doi: 10.1007/s11432-025-4721-2

人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Adaptive elite learning particle swarm optimization algorithm with complementary sub-strategies for multimodal problems
Lu, Qianbo; Sun, Jiaxin; Wang, Zhenshan; Wang, Chao; Wang, Xiaoke; Wang, Xiaoxu; Wu, Shuang; Zhou, Xuyang; Zhu, Qixuan; Sun, Jinshuai; Zhan, Zhi-Hui; Huang, Wei
Sci China Inf Sci, 2026, 69(3): 132103
Keywords: adaptive elite learning; diversified utilization; global optimization; personal best experience; multimodal problems
Cite as: Lu Q B, Sun J X, Wang Z S, et al. Adaptive elite learning particle swarm optimization algorithm with complementary sub-strategies for multimodal problems. Sci China Inf Sci, 2026, 69: 132103, doi: 10.1007/s11432-024-4510-2

人工智能 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Graph decision transformer for offline reinforcement learning
Hu, Shengchao; Shen, Li; Zhang, Ya; Tao, Dacheng
Sci China Inf Sci, 2025, 68(6): 169101
Keywords: offline reinforcement learning; graph representation; transformer; sequence modeling; Markovian relationship bias
Cite as: Hu S C, Shen L, Zhang Y, et al. Graph decision transformer for offline reinforcement learning. Sci China Inf Sci, 2025, 68: 169101, doi: 10.1007/s11432-024-4353-9

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
人工智能 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Dynamic prompt allocation and tuning for continual test-time adaptation
Cui, Chaoran; Zhen, Yongrui; Gong, Shuai; Zhang, Chunyun; Liu, Hui; Yin, Yilong
Sci China Inf Sci, 2025, 68(6): 160109
Keywords: test-time adaptation; continual learning; catastrophic forgetting; prompt tuning; parameter disentanglement
Cite as: Cui C R, Zhen Y R, Gong S, et al. Dynamic prompt allocation and tuning for continual test-time adaptation. Sci China Inf Sci, 2025, 68: 160109, doi: 10.1007/s11432-024-4379-8

人工智能 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Topology matters: achieving fairness in graph neural networks through heterophily propagation
Wang, Yuge; Yang, Xibei; Liu, Keyu; Sun, Qiguo; Ding, Weiping; Qian, Yuhua
Sci China Inf Sci, 2026, 69(3): 139102
Keywords: fairness; topology bias; message-passing mechanism; graph neural networks; GNNs; representation learning
Cite as: Wang Y G, Yang X B, Liu K Y, et al. Topology matters: achieving fairness in graph neural networks through heterophily propagation. Sci China Inf Sci, 2026, 69: 139102, doi: 10.1007/s11432-025-4722-2

SCIS Selected Articles on Large Language Models (LLM)
人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

OpenBA: an open-sourced 15B bilingual asymmetric Seq2Seq model pre-trained from scratch
Li, Juntao; Tang, Zecheng; Ding, Yuyang; Wang, Pinzheng; Guo, Pei; You, Wangjie; Qiao, Dan; Wang, Chenyu; Chen, Wenliang; Fu, Guohong; Zhu, Qiaoming; Zhou, Guodong; Zhang, Min
Sci China Inf Sci, 2025, 68(9): 192103
Keywords: open-source; Seq2Seq model; bilingual large language model; Flan data collection; large-scale training
Cite as: Li J T, Tang Z C, Ding Y Y, et al. OpenBA: an open-sourced 15B bilingual asymmetric Seq2Seq model pre-trained from scratch. Sci China Inf Sci, 2025, 68: 192103, doi: 10.1007/s11432-023-4128-3

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Pushing one pair of labels apart each time in multi-label learning: from single positive to full labels
Li, Xiang; Wang, Xinrui; Chen, Songcan
Sci China Inf Sci, 2025, 68(6): 162102
Keywords: multi-label learning; single positive label; noisy labels; missing labels; image classification
Cite as: Li X, Wang X R, Chen S C. Pushing one pair of labels apart each time in multi-label learning: from single positive to full labels. Sci China Inf Sci, 2025, 68: 162102, doi: 10.1007/s11432-023-3979-9

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Explaining the better generalization of label distribution learning for classification
Wang, Jing; Geng, Xin
Sci China Inf Sci, 2025, 68(5): 152102
Keywords: label distribution learning; classification; generalization; label distribution margin; label ambiguity; neural network
Cite as: Wang J, Geng X. Explaining the better generalization of label distribution learning for classification. Sci China Inf Sci, 2025, 68: 152102, doi: 10.1007/s11432-023-3954-7

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Personalized federated few-shot node classification
Zhao, Yunfeng; He, Xintong; Yu, Guoxian; Wang, Jun; Zheng, Yongqing; Domeniconi, Carlotta
Sci China Inf Sci, 2025, 68(1): 112105
Keywords: personalized federated learning; few-shot learning; node classification; task heterogeneity; parameter decoupling; node augmentation
Cite as: Zhao Y F, He X T, Yu G X, et al. Personalized federated few-shot node classification. Sci China Inf Sci, 2025, 68: 112105, doi: 10.1007/s11432-024-4254-5

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Cross-level interaction and multi-granularity contrastive learning for multi-view clustering
Deng, Shanghui; Tang, Chang; Zheng, Xiao; Liu, Yuanyuan; Sun, Kun; Liu, Xinwang
Sci China Inf Sci, 2026, 69(7): 172104
Keywords: multi-view clustering; cross-level interaction; multi-granularity; dual contrastive mechanisms; contrastive multi-view clustering
Cite as: Deng S H, Tang C, Zheng X, et al. Cross-level interaction and multi-granularity contrastive learning for multi-view clustering. Sci China Inf Sci, 2026, 69: 172104, doi: 10.1007/s11432-025-4667-2

人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

MAD: meta adversarial defense benchmark
Peng, Xiaoxu; Zhou, Dong; Sun, Guanghui; Shi, Jiaqi; Wu, Ligang
Sci China Inf Sci, 2026, 69(6): 162105
Keywords: adversarial training; adversarial attack; meta adversarial defense; meta-learning; few-shot learning
Cite as: Peng X X, Zhou D, Sun G H, et al. MAD: meta adversarial defense benchmark. Sci China Inf Sci, 2026, 69: 162105, doi: 10.1007/s11432-024-4880-x

人工智能 REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Towards reasoning era: a survey of long chain-of-thought for reasoning large language models
Chen, Qiguang; Qin, Libo; Liu, Jinhao; Peng, Dengyun; Guan, Jiannan; Wang, Peng; Hu, Mengkang; Zhou, Yuhang; Gao, Te; Che, Wanxiang
Sci China Inf Sci, 2026, 69(6): 161101
Keywords: long chain-of-thought; reasoning large language model; system 2 reasoning; reasoning
Cite as: Chen Q G, Qin L B, Liu J H, et al. Towards reasoning era: a survey of long chain-of-thought for reasoning large language models. Sci China Inf Sci, 2026, 69: 161101, doi: 10.1007/s11432-025-4665-8

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Tackling data heterogeneity in federated time series forecasting
Yuan, Wei; Yang, Chaoqun; Zhao, Xiangyu; Nguyen, Quoc Viet Hung; Cao, Yang; He, Tieke; Yin, Hongzhi
Sci China Inf Sci, 2026, 69(5): 152102
Keywords: federated learning' time series forecasting; data heterogeneity
Cite as: Yuan W, Yang C Q, Zhao X Y, et al. Tackling data heterogeneity in federated time series forecasting. Sci China Inf Sci, 2026, 69: 152102, doi: 10.1007/s11432-025-4553-x

SCIS Selected Articles on Large Language Models (LLM)
人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Retrieval augmentation for out-of-distribution robustness in non-knowledge intensive in-context learning
Song, Rui; Li, Yingji; Giunchiglia, Fausto; Xu, Hao
Sci China Inf Sci, 2026, 69(2): 122108
Keywords: out-of-distribution robustness; retrieval augmentation; in-context learning; large language model
Cite as: Song R, Li Y J, Giunchiglia F, et al. Retrieval augmentation for out-of-distribution robustness in non-knowledge intensive in-context learning. Sci China Inf Sci, 2026, 69: 122108, doi: 10.1007/s11432-025-4558-9

人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Learning by doing: an online causal reinforcement learning framework with causal-aware policy
Cai, Ruichu; Huang, Siyang; Qiao, Jie; Chen, Wei; Zeng, Yan; Zhang, Keli; Sun, Fuchun; Yu, Yang; Hao, Zhifeng
Sci China Inf Sci, 2026, 69(2): 122104
Keywords: causal reinforcement learning; reinforcement learning; causality; online reinforcement learning; causal structure learning
Cite as: Cai R C, Huang S Y, Qiao J, et al. Learning by doing: an online causal reinforcement learning framework with causal-aware policy. Sci China Inf Sci, 2026, 69: 122104, doi: 10.1007/s11432-024-4403-7

人工智能 RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Profit-aware online crowdsensing task assignment for intelligent transportation services
Zhu, Guanglei; Li, Yafei; Zhang, Jiawen; Wang, Ke; Chen, Lei; Xu, Mingliang
Sci China Inf Sci, 2026, 69(1): 112106
Keywords: location-based services; sequence prediction; task assignment; crowdsensing; intelligent transportation
Cite as: Zhu G L, Li Y F, Zhang J W, et al. Profit-aware online crowdsensing task assignment for intelligent transportation services. Sci China Inf Sci, 2026, 69: 112106, doi: 10.1007/s11432-024-4473-3

From CAS & CAE Members
SCIS Selected Articles on Large Language Models (LLM)
人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Uncertainty-aware large language model response length perception
Shi, Bin; Dong, Bo; Zheng, Qinghua
Sci China Inf Sci, 2025, 68(11): 210101
Keywords: large language model; uncertainty quantification; response length prediction
Cite as: Shi B, Dong B, Zheng Q H. Uncertainty-aware large language model response length perception. Sci China Inf Sci, 2025, 68: 210101, doi: 10.1007/s11432-024-4550-8

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
人工智能 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Visual and text prompt learning for multi-modal brain disease diagnosis
Zhao, Yumiao; Jiang, Bo; Ding, Yuhe; Wan, Xixi; Tang, Jin
Sci China Inf Sci, 2025, 68(6): 160110
Keywords: brain disease diagnosis; 3D multi-modal fusion; foundation model; local feature representation; expert knowledge
Cite as: Zhao Y M, Jiang B, Ding Y H, et al. Visual and text prompt learning for multi-modal brain disease diagnosis. Sci China Inf Sci, 2025, 68: 160110, doi: 10.1007/s11432-024-4399-9

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
人工智能 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Trustworthy forgery detection with causal inference
Duan, Junxian; Ji, Fan; Li, Yi; Sun, Hao; He, Ran
Sci China Inf Sci, 2025, 68(6): 160108
Keywords: forgery detection; causal inference; visual media forgery detection; structural causal model; plug-and-play
Cite as: Duan J X, Ji F, Li Y, et al. Trustworthy forgery detection with causal inference. Sci China Inf Sci, 2025, 68: 160108, doi: 10.1007/s11432-024-4347-6

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
SCIS Selected Articles on Large Language Models (LLM)
人工智能 POSITION PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

The superalignment of superhuman intelligence with large language models
Huang, Minlie; Wang, Yingkang; Cui, Shiyao; Ke, Pei; Tang, Jie
Sci China Inf Sci, 2025, 68(6): 160107
Keywords: superalignment; superhuman intelligence; large language models; scalable feedback; weak-to-strong generalization
Cite as: Huang M L, Wang Y K, Cui S Y, et al. The superalignment of superhuman intelligence with large language models. Sci China Inf Sci, 2025, 68: 160107, doi: 10.1007/s11432-024-4348-6

人工智能 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Question answering over temporal knowledge graphs: a self-improving hierarchical retrieval-augmented approach
Liu, Ruishen; Xie, Shaorong; Luo, Xiangfeng; Wang, Xinzhi; Yu, Hang
Sci China Inf Sci, 2026, 69(9): 199101
Keywords: question answering; temporal knowledge graph; large language model; self-improvement; retrieval-augmented
Cite as: Liu R S, Xie S R, Luo X F, et al. Question answering over temporal knowledge graphs: a self-improving hierarchical retrieval-augmented approach. Sci China Inf Sci, 2026, 69: 199101, doi: 10.1007/s11432-025-4858-2

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

MSG: a unified multi-space graph index for efficient high-dimensional multi-vector search
Wang, Mengzhao; Ke, Xiangyu; Zhu, Yifan; Gao, Yunjun; Tu, Yaofeng
Sci China Inf Sci, 2026, 69(9): 192106
Keywords: vector search; graph index; approximate nearest neighbor search; high-dimensional vector; vector databases
Cite as: Wang M Z, Ke X Y, Zhu Y F, et al. MSG: a unified multi-space graph index for efficient high-dimensional multi-vector search. Sci China Inf Sci, 2026, 69: 192106, doi: 10.1007/s11432-025-4793-9

人工智能 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar

MPL-schedule: a dynamic priority-based scheduling scheme for spiking neural networks
Zhao X F, Du X, Yu D, et al
Sci China Inf Sci, 2026, 69(9): 192104
Keywords: task scheduling; spiking neural networks; adaptive time-slicing; GPU preemption; trace-driven evaluation
Cite as: Zhao X F, Du X, Yu D, et al. MPL-schedule: a dynamic priority-based scheduling scheme for spiking neural networks. Sci China Inf Sci, 2026, 69: 192104, doi: 10.1007/s11432-025-5044-3

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Multi-scale diffusion prediction based on user hierarchical latent interactions and cross-task feature similarity
Shao T Y, Zhao X, Li J C, et al
Sci China Inf Sci, 2026, 69(9): 192101
Keywords: social network; information diffusion; heterogeneous graph; contrastive learning; graph neural network
Cite as: Shao T Y, Zhao X, Li J C, et al. Multi-scale diffusion prediction based on user hierarchical latent interactions and cross-task feature similarity. Sci China Inf Sci, 2026, 69: 192101, doi: 10.1007/s11432-025-4727-6

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Evolving embodied intelligence via reinforcement learning: challenges, barriers, and pathways
Ji T Y, Sun F C, Lv L
Sci China Inf Sci, 2026, 69(9): 191101
Keywords: reinforcement learning; embodied artificial intelligence; embodied reinforcement learning; robotics; foundation models; safety and robustness; comprehensive survey
Cite as: Ji T Y, Sun F C, Lv L. Evolving embodied intelligence via reinforcement learning: challenges, barriers, and pathways. Sci China Inf Sci, 2026, 69: 191101, doi: 10.1007/s11432-024-5010-x

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Node quality-driven unsupervised cross-network node classification: a reinforcement transfer learning approach
Yang, Hongwei; Hao, Meng; Lin, Jiaoxuan; He, Hui; Zhang, Weizhe; Wang, Wenqi
Sci China Inf Sci, 2026, 69(7): 179105
Keywords: node classification; high-quality node selection; network embedding; transfer learning; reinforcement learning
Cite as: Yang H W, Hao M, Lin J X, et al. Node quality-driven unsupervised cross-network node classification: a reinforcement transfer learning approach. Sci China Inf Sci, 2026, 69: 179105, doi: 10.1007/s11432-024-4756-y

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Resource-efficient federated fine-tuning for privacy-preserving NLP applications
Cai, Dongqi; Wang, Shangguang; Wu, Yaozong; Gu, Hanlin; Duan, Yifan; Fan, Lixin; Lane, Nicholas D.; Xu, Mengwei
Sci China Inf Sci, 2026, 69(7): 179104
Keywords: resource efficiency; federated learning; natural language processing; differential privacy; mobile computing
Cite as: Cai D Q, Wang S G, Wu Y Z, et al. Resource-efficient federated fine-tuning for privacy-preserving NLP applications. Sci China Inf Sci, 2026, 69: 179104, doi: 10.1007/s11432-025-4859-8

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ProxyLLM: augmenting LLMs with proxy models for tool utilization through learning from LLMs
Zhou, Xiaomao; Jia, Qingmin; Zhang, Yan; Wang, Liwen; Xie, Renchao; Huang, Tao; Liu, Yunjie
Sci China Inf Sci, 2026, 69(7): 179103
Keywords: large language models; tool learning; knowledge transfer; deep reinforcement learning; computational power network
Cite as: Zhou X M, Jia Q M, Zhang Y, et al. ProxyLLM: augmenting LLMs with proxy models for tool utilization through learning from LLMs. Sci China Inf Sci, 2026, 69: 179103, doi: 10.1007/s11432-025-4772-4

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FDDME: feature divergence-directed data-free model extraction
Ma, Ruinan; Tan, Yu-An; Wang, Yajie; Ying, Zuobin; Zhu, Liehuang; Ma, Jianfeng
Sci China Inf Sci, 2026, 69(7): 179102
Keywords: data-free model extraction; model security; data privacy; feature divergence; dynamic shadow mode architecture
Cite as: Ma R N, Tan Y-A, Wang Y J, et al. FDDME: feature divergence-directed data-free model extraction. Sci China Inf Sci, 2026, 69: 179102, doi: 10.1007/s11432-024-4781-5

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LaTac: latent tactics for robust multi-agent coordination under intermittent communication
Yao, Enguang; Liu, Qidong; Hou, Jiajia; Sun, Mingfei; Zhang, Zongzhang; Xu, Mingliang
Sci China Inf Sci, 2026, 69(7): 179101
Keywords: multi-agent coordination; latent tactics; intermittent communication; robust coordination; knowledge distillation
Cite as: Yao E G, Liu Q D, Hou J J, et al. LaTac: latent tactics for robust multi-agent coordination under intermittent communication. Sci China Inf Sci, 2026, 69: 179101, doi: 10.1007/s11432-025-4724-0

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Generative AI for healthcare: fundamentals, challenges, and perspectives
Chen, Gang; Liu, Changshuo; Ooi, Gene Anne; Tan, Marcus; Xie, Zhongle; Yin, Jianwei; Yip, James Wei Luen; Zhang, Wenqiao; Zhu, Jiaqi; Ooi, Beng Chin
Sci China Inf Sci, 2026, 69(7): 173101
Keywords: generative AI; healthcare; foundation model; data ecosystem; retrieval-augmented generation
Cite as: Chen G, Liu C S, Ooi G A, et al. Generative AI for healthcare: fundamentals, challenges, and perspectives. Sci China Inf Sci, 2026, 69: 173101, doi: 10.1007/s11432-025-4927-2

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Flooding spread of manipulated knowledge in LLM-based multi-agent communities
Ju, Tianjie; Wang, Yiting; Hua, Yi; Ma, Xinbei; Cheng, Pengzhou; Zhao, Haodong; Wang, Yulong; Liu, Lifeng; Xie, Jian; Zhang, Zhuosheng; Liu, Gongshen
Sci China Inf Sci, 2026, 69(7): 172103
Keywords: large language models; multi-agent systems; manipulated knowledge spread
Cite as: Ju T J, Wang Y T, Hua Y, et al. Flooding spread of manipulated knowledge in LLM-based multi-agent communities. Sci China Inf Sci, 2026, 69: 172103, doi: 10.1007/s11432-024-4663-2

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CupCleaner: a hybrid data cleaning approach for comment updating
Liang, Qingyuan; Sun, Zeyu; Zhu, Qihao; Hu, Junhao; Zhao, Yifan; Zhang, Yakun; Zhang, Lu
Sci China Inf Sci, 2026, 69(7): 172102
Keywords: software evolution; comment updating; data cleaning; software engineering; deep learning
Cite as: Liang Q Y, Sun Z Y, Zhu Q H, et al. CupCleaner: a hybrid data cleaning approach for comment updating. Sci China Inf Sci, 2026, 69: 172102, doi: 10.1007/s11432-024-4637-2

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An asynchronous Chinese speller integrating eye tracking and large language models into a reactive BCI
Li, Hao; Yu, Yang; Zhang, Yifan; Chen, Xin; Zhou, Liang; Liu, Jinfang; Zhang, Ming; Zeng, Ling-Li; Hu, Dewen
Sci China Inf Sci, 2026, 69(7): 172101
Keywords: electroencephalogram; brain-computer interface; asynchronous Chinese speller; eye tracking; large language model
Cite as: Li H, Yu Y, Zhang Y F, et al. An asynchronous Chinese speller integrating eye tracking and large language models into a reactive BCI. Sci China Inf Sci, 2026, 69: 172101, doi: 10.1007/s11432-025-4685-0

人工智能 REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

New frontiers in large code language model security: a review of emerging adversarial threats and countermeasures
Yang, Yulong; Fan, Haoran; Lin, Chenhao; Jiang, Weipeng; Wang, Shiwei; Li, Qian; Zhao, Zhengyu; Zhang, Chong; Guan, Xiaohong; Shen, Chao
Sci China Inf Sci, 2026, 69(7): 171101
Keywords: artificial intelligence security; adversarial machine learning; security threat models; large code language models; machine learning interpretability
Cite as: Yang Y L, Fan H R, Lin C H, et al. New frontiers in large code language model security: a review of emerging adversarial threats and countermeasures. Sci China Inf Sci, 2026, 69: 171101, doi: 10.1007/s11432-025-4703-6

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Adaboost selective learning based on multi-kernel broad learning system
Yun, Fan; Yu, Zhiwen; Yang, Kaixiang; Chen, C. L. Philip
Sci China Inf Sci, 2026, 69(6): 162106
Keywords: Adaboost; broad learning system; kernel method; multi-kernel learning; selective ensemble learning
Cite as: Yun F, Yu Z W, Yang K X, et al. Adaboost selective learning based on multi-kernel broad learning system. Sci China Inf Sci, 2026, 69: 162106, doi: 10.1007/s11432-025-4957-6

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Trend virtual adversarial training for semi-supervised time series classification
Pan, Qingyi; Wang, Liyuan; Zhang, Jingyi; Zhu, Jun; Chen, Ning
Sci China Inf Sci, 2026, 69(5): 152101
Keywords: semi-supervised time series classification; virtual adversarial training; interpretable deep learning
Cite as: Pan Q Y, Wang L Y, Zhang J Y, et al. Trend virtual adversarial training for semi-supervised time series classification. Sci China Inf Sci, 2026, 69: 152101, doi: 10.1007/s11432-025-4559-7

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T3A: robust graph contrastive learning with tensorized augmentation, aggregation and approximation
Liao, Tianchi; Lai, Yujing; Wang, Tong; Chen, Chuan; Zheng, Zibin
Sci China Inf Sci, 2026, 69(4): 142103
Keywords: graph contrastive learning; robust graph learning; low-rank approximation; tensor; augmentation
Cite as: Liao T C, Lai Y J, Wang T, et al. T3A: robust graph contrastive learning with tensorized augmentation, aggregation and approximation. Sci China Inf Sci, 2026, 69: 142103, doi: 10.1007/s11432-024-4688-6

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LUNCH: adaptive balancing of continual learning via hyperparameter uncertainty
Pan, Qingyi; Wang, Liyuan; Zhang, Jingyi; Zhu, Jun
Sci China Inf Sci, 2026, 69(4): 142102
Keywords: continual learning; hyperparameter sensitivity; uncertainty quantification; multi-task learning
Cite as: Pan Q Y, Wang L Y, Zhang J Y, et al. LUNCH: adaptive balancing of continual learning via hyperparameter uncertainty. Sci China Inf Sci, 2026, 69: 142102, doi: 10.1007/s11432-024-4570-7

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Knowledge-enhanced AI models for domain-specific application: a survey
Li, Xiang-Yang; Wang, Yihan; Liang, Junli; Wang, Xinyu; Zhou, Pengfei; Zhao, Qi; Zhang, Yuhang; Song, Qi
Sci China Inf Sci, 2026, 69(4): 141101
Keywords: knowledge enhancement; language model; multimodal model; time-series model; domain application
Cite as: Li X-Y, Wang Y H, Liang J L, et al. Knowledge-enhanced AI models for domain-specific application: a survey. Sci China Inf Sci, 2026, 69: 141101, doi: 10.1007/s11432-025-4635-0

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An accurate and efficient online broad learning system for data stream classification
Lei, Chunyu; Chen, Guang-Ze; Chen, C. L. Philip; Zhang, Tong
Sci China Inf Sci, 2026, 69(3): 139101
Keywords: stream learning; broad learning system; Cholesky decomposition; givens rotation; online learning; concept drift
Cite as: Lei C Y, Chen G-Z, Chen C L P, et al. An accurate and efficient online broad learning system for data stream classification. Sci China Inf Sci, 2026, 69: 139101, doi: 10.1007/s11432-025-4673-5

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A gradual coarse-to-fine framework for irregularly sampled multivariate time series analysis
Liu, Jiexi; Cao, Meng; Chen, Songcan
Sci China Inf Sci, 2026, 69(3): 132105
Keywords: irregularly sampled multivariate time series; time series analysis; attention mechanism; multi-scale learning; representation learning
Cite as: Liu J X, Cao M, Chen S C. A gradual coarse-to-fine framework for irregularly sampled multivariate time series analysis. Sci China Inf Sci, 2026, 69: 132105, doi: 10.1007/s11432-024-4577-6

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WESE: weak exploration to strong exploitation for LLM agents
Huang, Xu; Liu, Weiwen; Chen, Xiaolong; Wang, Xingmei; Lian, Defu; Wang, Yasheng; Tang, Ruiming; Chen, Enhong
Sci China Inf Sci, 2026, 69(3): 132104
Keywords: artificial intelligence; large language models; autonomous agents; exploration and exploitation; multiagent systems
Cite as: Huang X, Liu W W, Chen X L, et al. WESE: weak exploration to strong exploitation for LLM agents. Sci China Inf Sci, 2026, 69: 132104, doi: 10.1007/s11432-024-4554-x

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A survey on multi-behavior sequential recommendation
Chen, Xiaoqing; Li, Zhitao; Pan, Weike; Yang, Qiang; Ming, Zhong
Sci China Inf Sci, 2026, 69(3): 131101
Keywords: multi-behavior sequential recommendation; matrix factorization; RNN; GNN; Transformer
Cite as: Chen X Q, Li Z T, Pan W K, et al. A survey on multi-behavior sequential recommendation. Sci China Inf Sci, 2026, 69: 131101, doi: 10.1007/s11432-024-4568-7

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Prescription generation via multi-source context-aware hierarchical transformer
Xiong, Hui; Zheng, Zhi; Qiu, Zhaopeng; Wu, Xian; Xu, Tong; Chen, Enhong
Sci China Inf Sci, 2026, 69(2): 122109
Keywords: prescription generation; hierarchical transformer; context-aware recommendation; multi-task recommendation; electronic medical record
Cite as: Xiong H, Zheng Z, Qiu Z P, et al. Prescription generation via multi-source context-aware hierarchical transformer. Sci China Inf Sci, 2026, 69: 122109, doi: 10.1007/s11432-023-4584-8

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You can only watch the past: track attention network for online spatio-temporal action detection
Su, Shaowen; Gan, Minggang; Zhang, Yan
Sci China Inf Sci, 2026, 69(2): 122107
Keywords: online spatio-temporal action detection; track-and-detect; historical detection; actor distribution; track attention
Cite as: Su S W, Gan M G, Zhang Y. You can only watch the past: track attention network for online spatio-temporal action detection. Sci China Inf Sci, 2026, 69: 122107, doi: 10.1007/s11432-024-4501-3

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TransTS: an adaptive post-hoc method for probability calibration under label noise
Wu, Yuefei; Shi, Bin; Dong, Bo; Zheng, Qinghua
Sci China Inf Sci, 2026, 69(2): 122105
Keywords: probability calibration; label noise; uncertainty representation; trustworthy decision
Cite as: Wu Y F, Shi B, Dong B, et al. TransTS: an adaptive post-hoc method for probability calibration under label noise. Sci China Inf Sci, 2026, 69: 122105, doi: 10.1007/s11432-025-4576-9

SCIS Selected Articles on Large Language Models (LLM)
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PGPL: enhancing spatial awareness abilities of multimodal large language models based on precise geometric position learning
Zhao, Yongqiang; Li, Zhenyu; Jin, Zhi; Zhang, Feng; Wang, Ziliang; Wu, Lianwei; Dou, Chengfeng; Zhao, Haiyan; Xu, Xinhai
Sci China Inf Sci, 2026, 69(2): 122103
Keywords: multimodal large language model; spatial awareness; geometric position learning; geometric absolute position; geometric relative position; multidimensional information fusion
Cite as: Zhao Y Q, Li Z Y, Jin Z, et al. PGPL: enhancing spatial awareness abilities of multimodal large language models based on precise geometric position learning. Sci China Inf Sci, 2026, 69: 122103, doi: 10.1007/s11432-024-4416-8

SCIS Selected Articles on Large Language Models (LLM)
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The dual-edged sword: artificial intelligence's evolving role in academic peer review
Huang, Xuanjing; Dou, Shihan; Yin, Zhangyue
Sci China Inf Sci, 2025, 68(11): 216101
Keywords: large language models; perspective; AI-assisted peer review; academic impact; artificial intelligence
Cite as: Huang X J, Dou S H, Yin Z Y. The dual-edged sword: artificial intelligence's evolving role in academic peer review. Sci China Inf Sci, 2025, 68: 216101, doi: 10.1007/s11432-025-4588-2

SCIS Selected Articles on Large Language Models (LLM)
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Backdoor threats in large language models-a survey
Liu, Shuai; Pan, Yiheng; Hong, Kun; Fei, Ruite; Lin, Chenhao; Li, Qian; Shen, Chao
Sci China Inf Sci, 2025, 68(9): 191101
Keywords: large language models; backdoor threats; attack and defence category; LLM life cycle; artificial intelligence security
Cite as: Liu S, Pan Y H, Hong K, et al. Backdoor threats in large language models-a survey. Sci China Inf Sci, 2025, 68: 191101, doi: 10.1007/s11432-024-4351-3

SCIS Selected Articles on Large Language Models (LLM)
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The impact of task similarity on performance drift of LLMs: a theoretical and empirical analysis
Ni, Xuanming; Zhao, Qiaochu; Huang, Song; Yu, Lian
Sci China Inf Sci, 2025, 68(8): 189101
Keywords: large language model; performance drift; task similarity; continual learning; catastrophic forgetting
Cite as: Ni X M, Zhao Q C, Huang S, et al. The impact of task similarity on performance drift of LLMs: a theoretical and empirical analysis. Sci China Inf Sci, 2025, 68: 189101, doi: 10.1007/s11432-024-4442-8

SCIS Selected Articles on Large Language Models (LLM)
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A parental emotion coaching dialogue assistant for better parent–child interaction
Zhao, Weixiang; Wang, Shilong; Tong, Yanpeng; Lu, Xin; Li, Zhuojun; Zhao, Yanyan; Wang, Chenxue; Zheng, Tian; Qin, Bing
Sci China Inf Sci, 2025, 68(7): 179101
Keywords: parental emotion coaching; dialogue assistant; large language models; parent-child interaction; emotional dialogue
Cite as: Zhao W X, Wang S L, Tong Y P, et al. A parental emotion coaching dialogue assistant for better parent–child interaction. Sci China Inf Sci, 2025, 68: 179101, doi: 10.1007/s11432-023-4341-5

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Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness
Sun, Ke; Li, Mingjie; Lin, Zhouchen
Sci China Inf Sci, 2025, 68(6): 162101
Keywords: deep learning; adversarial robustness; reliable machine learning; Pareto optimization; spatial robustness
Cite as: Sun K, Li M J, Lin Z C. Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness. Sci China Inf Sci, 2025, 68: 162101, doi: 10.1007/s11432-022-3861-8

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
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On the encryption for graph foundation model inference of sparse graph
Yuan, Man-Jie; Bai, Xue-Tong; Zhang, Kai-Ran; Gao, Wei
Sci China Inf Sci, 2025, 68(6): 160104
Keywords: graph foundation model; graph prompt; privacy-preserving machine learning; graph encryption; data encryption
Cite as: Yuan M-J, Bai X-T, Zhang K-R, et al. On the encryption for graph foundation model inference of sparse graph. Sci China Inf Sci, 2025, 68: 160104, doi: 10.1007/s11432-024-4439-1

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
SCIS Selected Articles on Large Language Models (LLM)
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RAG-leaks: difficulty-calibrated membership inference attacks on retrieval-augmented generation
Wang, Guangshuo; He, Jiajun; Li, Hao; Zhang, Min; Feng, Dengguo
Sci China Inf Sci, 2025, 68(6): 160102
Keywords: large language models; retrieval-augmented generation; membership inference; privacy risk; difficulty calibration
Cite as: Wang G S, He J J, Li H, et al. RAG-leaks: difficulty-calibrated membership inference attacks on retrieval-augmented generation. Sci China Inf Sci, 2025, 68: 160102, doi: 10.1007/s11432-024-4441-4

Special Topic: Enabling Techniques and Cutting-Edge Applications of Foundation Models
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Special topic on enabling techniques and cutting-edge applications of foundation models
Jing, Liping; Liu, Qi; Zhang, Min-Ling
Sci China Inf Sci, 2025, 68(6): 160100
Cite as: Jing L P, Liu Q, Zhang M-L. Special topic on enabling techniques and cutting-edge applications of foundation models. Sci China Inf Sci, 2025, 68: 160100, doi: 10.1007/s11432-025-4448-4

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Channel pruning on frequency response
Lin, Hang; Peng, Yifan; Bie, Lin; Yan, Chenggang; Zhao, Xibin; Gao, Yue
Sci China Inf Sci, 2025, 68(1): 112102
Keywords: deep learning; model compression; filter pruning; channel pruning; frequency response
Cite as: Lin H, Peng Y F, Bie L, et al. Channel pruning on frequency response. Sci China Inf Sci, 2025, 68: 112102, doi: 10.1007/s11432-022-3951-y