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Long-Fei Li
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2020 – today
- 2025
[j47]Shibao Li, Longfei Li, Wei Dou, Yunwu Zhang, Chengzhi Wang, Xuerong Cui, Lianghai Li:
SDLoRe: A loss recovery algorithm based on segment detection in lossy RDMA networks. Comput. Networks 258: 111019 (2025)- 2024
- [j46]Qing Han, Longfei Li, Weidong Min, Qi Wang, Qingpeng Zeng, Shimiao Cui, Jiongjin Chen:
Joint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification. Comput. Vis. Media 10(3): 543-558 (2024) - [j45]Dong Wang, Qi Wang, Weidong Min, Di Gai, Qing Han, Longfei Li, Yuhan Geng:
SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification. Comput. Vis. Media 10(4): 771-789 (2024) - [j44]Qitao Shi
, Ya-Lin Zhang, Lu Yu, Feng Zhu, Longfei Li, Jun Zhou, Yanming Fang:
A distribution-free method for probabilistic prediction. Expert Syst. Appl. 237(Part B): 121396 (2024) - [j43]Meng Zhu, Weidong Min, Hongyue Xiang, Cheng Zha, Zheng Huang, Longfei Li, Qiyan Fu:
Spatial Decomposition and Aggregation for Attention in Convolutional Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 38(1): 2352019:1-2352019:15 (2024) - [j42]Sicheng Zhang, Longfei Li, Zixin Li, Haichao Zhang, Guangzhen Si, Yu Wang, Guan Gui, Yun Lin:
Wavelet Domain Frequency Steganography Backdoor Attack for Misleading Automatic Modulation Classification. IEEE Internet Things J. 11(23): 38884-38894 (2024) - [j41]Longfei Li, Hangjie Ji, Qi Tang:
Numerical Methods for Fourth-Order PDEs on Overlapping Grids with Application to Kirchhoff-Love Plates. J. Sci. Comput. 98(2): 41 (2024) - [j40]Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou:
Tracking treatment effect heterogeneity in evolving environments. Mach. Learn. 113(6): 3653-3673 (2024) - [j39]Yang Zhang, Yinghua Xie, Longfei Li, Yian Liang, Houqiang Yu:
How is public discussion as reflected in WeChat articles different from scholarly research in China? An empirical study of metaverse. Scientometrics 129(1): 473-495 (2024) - [j38]Longfei Li, Fayu Wang, Jiaying Gao, Kun Yu, Lan Wang, Yufang Liu:
Accurately Measuring the Infrared Spectral Emissivity of Inconel 601, Inconel 625, and Inconel 718 Alloys during the Oxidation Process. Sensors 24(18): 5906 (2024) - [j37]Zhen Ding, Tao Hu, Yanlong Li, Longfei Li, Qi Li, Pengyu Jin, Chunzhi Yi:
A Novel Active Learning Framework for Cross-Subject Human Activity Recognition from Surface Electromyography. Sensors 24(18): 5949 (2024) - [j36]Ruirui Tong, Kaihua Zhang, Longfei Li, Bo Zhang, Qin Liu, Yufang Liu, Kun Yu:
Fast Measuring Device for the Normal Spectral Emissivity in a Broad Temperature Range. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j35]Shibao Li, Chenxu Ma, Yunwu Zhang, Longfei Li, Chengzhi Wang, Xuerong Cui, Jianhang Liu:
Attention-based variable-size feature compression module for edge inference. J. Supercomput. 80(6): 8469-8484 (2024) - [j34]Qing Han, Jiongjin Chen, Weidong Min, Jiahao Li, Lixin Zhan, Longfei Li:
DCSG: data complement pseudo-label refinement and self-guided pre-training for unsupervised person re-identification. Vis. Comput. 40(10): 7235-7248 (2024) - [c86]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI 2024: 11642-11650 - [c85]Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. AAAI 2024: 11944-11952 - [c84]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. AAAI 2024: 13572-13580 - [c83]Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI 2024: 19189-19196 - [c82]Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou:
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. AAAI 2024: 21107-21115 - [c81]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. AISTATS 2024: 3061-3069 - [c80]Yaning Shi, Pu Sun, Bing Gu, Longfei Li:
Temporal Shift Vision Transformer Adapter for Efficient Video Action Recognition. BIC 2024 - [c79]Peng Jiang, Longfei Li, Jifeng Feng, Yun Lv:
Stochastic Process Recognition Based on Gaussian Mixture Model and Shipborne Equipment. CAIBDA 2024: 452-456 - [c78]Zhixuan Chu, Yan Wang, Longfei Li, Zhibo Wang, Zhan Qin, Kui Ren:
A Causal Explainable Guardrails for Large Language Models. CCS 2024: 1136-1150 - [c77]Dong Yao, Caizhi Tang, Qing Cui, Longfei Li:
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects. CIKM 2024: 2961-2970 - [c76]Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou:
QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. DASFAA (5) 2024: 173-189 - [c75]Yue Zhang, Xinxing Yang, Feng Zhu, Longfei Li, Linbo Jiang, Jun Zhou:
Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction. DASFAA (7) 2024: 313-326 - [c74]Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Event Sequence Modeling with Contrastive Relational Inference. ICASSP 2024: 6145-6149 - [c73]Yi-Xuan Sun, Ya-Lin Zhang, Bin Han, Longfei Li, Jun Zhou:
Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources. ICML 2024 - [c72]Feng Zhu, Xinxing Yang, Longfei Li, Jun Zhou:
An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations. ACM Multimedia 2024: 9680-9689 - [c71]Longfei Li, Kyungbaek Kim:
GTT-NTP: A Graph Convolutional Networks-Based Network Traffic Prediction model. NOMS 2024: 1-7 - [c70]Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou:
Modeling Treatment Effect with Cross-Domain Data. PAKDD (1) 2024: 365-377 - [c69]Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou:
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. SIGIR 2024: 345-354 - [c68]Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo:
GATS: Generative Audience Targeting System for Online Advertising. SIGIR 2024: 2920-2924 - [c67]Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao:
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. WSDM 2024: 1102-1105 - [c66]Junpeng Fang, Gongduo Zhang, Qing Cui, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. WWW (Companion Volume) 2024: 93-102 - [c65]Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang:
Invariant Graph Learning for Causal Effect Estimation. WWW 2024: 2552-2562 - [i37]Zhixuan Chu, Yan Wang, Qing Cui, Longfei Li, Wenqing Chen, Sheng Li, Zhan Qin, Kui Ren:
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation. CoRR abs/2401.08217 (2024) - [i36]Zhixuan Chu, Yan Wang, Feng Zhu, Lu Yu, Longfei Li, Jinjie Gu:
Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies. CoRR abs/2402.03628 (2024) - [i35]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. CoRR abs/2403.04568 (2024) - [i34]Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li:
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR abs/2403.07623 (2024) - [i33]Zhixuan Chu, Yan Wang, Longfei Li, Zhibo Wang, Zhan Qin, Kui Ren:
A Causal Explainable Guardrails for Large Language Models. CoRR abs/2405.04160 (2024) - [i32]Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. CoRR abs/2405.17061 (2024) - [i31]Dong Yao, Caizhi Tang, Qing Cui, Longfei Li:
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects. CoRR abs/2410.21343 (2024) - [i30]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs. CoRR abs/2411.03107 (2024) - 2023
- [j33]Longfei Li, Qijing Wang, Mengjiao Pei, Hengyuan Wang, Jianhang Guo, Ziqian Hao, Yating Li, Qinyong Dai, Kuakua Lu, Yun Li:
Integration of Neuromorphic and Reconfigurable Logic-in-Memory Operations in an Electrolyte-Manipulated Ferroelectric Organic Neuristor. Adv. Intell. Syst. 5(7) (2023) - [j32]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Yusong Lin, Shanshan Wang:
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading. Biomed. Signal Process. Control. 85: 104876 (2023) - [j31]Longfei Li, Meiyun Wang, Xiaoming Jiang, Yusong Lin:
Universal multi-factor feature selection method for radiomics-based brain tumor classification. Comput. Biol. Medicine 164: 107122 (2023) - [j30]Longfei Li, Yongcheng Li, Sanjay K. Bose, Gangxiang Shen:
A generic parallel optimization framework for solving hard problems in optical networks. Comput. Commun. 199: 177-185 (2023) - [j29]Ya-Lin Zhang, Jun Zhou, Qitao Shi, Longfei Li:
Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression. Expert Syst. Appl. 213(Part): 118931 (2023) - [j28]Caizhi Tang, Qing Cui, Longfei Li, Jun Zhou:
GINT: A Generative Interpretability method via perturbation in the latent space. Expert Syst. Appl. 232: 120570 (2023) - [j27]Longfei Li, Haidong Fu, Xin Xu:
Active learning with sampling by joint global-local uncertainty for salient object detection. Neural Comput. Appl. 35(32): 23387-23399 (2023) - [j26]Houqiang Yu, Biegzat Murat, Jiatong Li, Longfei Li:
How can policy document mentions to scholarly papers be interpreted? An analysis of the underlying mentioning process. Scientometrics 128(11): 6247-6266 (2023) - [j25]Yuyue Guan, Longfei Li, Chao Liu:
Resilience Characteristics and Driving Mechanism of Urban Collaborative Innovation Network - A Case Study of China's New Energy Vehicle Industry. Syst. 11(5): 214 (2023) - [j24]Longfei Li, Yongcheng Li, Sanjay Kumar Bose, Gangxiang Shen:
Topology Planning Using Q-Learning for Microwave-Based Wireless Backhaul Networks. IEEE Trans. Cogn. Commun. Netw. 9(4): 1041-1052 (2023) - [j23]Weishan Zhang, Fa Yu, Xiao Wang, Xingjie Zeng, Hongwei Zhao, Yonglin Tian, Fei-Yue Wang, Longfei Li, Zengxiang Li:
R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications. IEEE Trans. Ind. Informatics 19(8): 8829-8840 (2023) - [j22]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Trans. Knowl. Data Eng. 35(2): 1171-1184 (2023) - [j21]Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang:
Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7980-7993 (2023) - [c64]Longfei Li, Haoyu Chen, Sungwoong Yeom, Shivani Sanjay Kolekar, Kyungbaek Kim:
Network State Prediction with Attention-Based Graph Convolutional Network. APNOMS 2023: 215-218 - [c63]Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li, Jun Zhou:
Treatment Effect Estimation across Domains. CIKM 2023: 2352-2361 - [c62]Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou:
FINRule: Feature Interactive Neural Rule Learning. CIKM 2023: 3020-3029 - [c61]Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu:
AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. DASFAA (4) 2023: 477-489 - [c60]Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. ICDE 2023: 3017-3030 - [c59]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c58]Meng Li, Jun Zhou, Lu Yu, Xiaoguang Huang, Yongfeng Gu, Yi Ding, Hao Ding, Longfei Li:
A Rule-based Decision System for Financial Applications. ICDE 2023: 3535-3548 - [c57]Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. ICDM (Workshops) 2023: 588-592 - [c56]Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou:
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. ICML 2023: 33792-33803 - [c55]Shibao Li, Longfei Li, Yunwu Zhang, Chenxu Ma, Chenghzhi Wang:
Sliding Window Kalman Filter-Based DCQCN for RDMA Congestion Control. IECC 2023: 1-6 - [c54]Daohong Niu, Xiaohua Zhang, Longfei Li, Yuxuan Zhou:
HSI-SSTRANS: Hyperspectral Image Classification with Spectral and Space Transformer. IGARSS 2023: 7625-7628 - [c53]Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou:
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. IJCAI 2023: 5012-5020 - [c52]Bing Gu, Wenxuan Liu, Longfei Li, Lingyun Zhao, Suwei Wu:
A Pedestrian Attribute Recognition Method Based On Cross-modal Fusion. MLNLP 2023: 150-154 - [c51]Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou:
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation. NeurIPS 2023 - [c50]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Dynamic Regret of Adversarial Linear Mixture MDPs. NeurIPS 2023 - [c49]Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He:
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS 2023 - [c48]Yueqi Wang, Yoni Halpern, Shuo Chang, Jingchen Feng, Elaine Ya Le, Longfei Li, Xujian Liang, Min-Cheng Huang, Shane Li, Alex Beutel, Yaping Zhang, Shuchao Bi:
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. RecSys 2023: 1049-1053 - [c47]Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen, Jun Zhou:
TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. SIGIR 2023: 2415-2419 - [c46]Han Zhao, Qing Cui, Xinyu Li, Rongzhou Bao, Longfei Li, Jun Zhou, Zhehao Liu, Jinghua Feng:
MDI: A Debiasing Method Combining Unbiased and Biased Data. SIGIR 2023: 3280-3284 - [c45]Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu:
Alleviating Matching Bias in Marketing Recommendations. SIGIR 2023: 3359-3363 - [c44]Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang:
GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. SIGIR 2023: 3364-3368 - [c43]Longfei Li, Xiaokang Yin, Xiao Li, Xiaoya Zhu, Shengli Liu:
ConFunc: Enhanced Binary Function-Level Representation through Contrastive Learning. TrustCom 2023: 1241-1248 - [c42]Ya-Lin Zhang, Yi-Xuan Sun, Fangfang Fan, Meng Li, Yeyu Zhao, Wei Wang, Longfei Li, Jun Zhou, Jinghua Feng:
A Framework for Detecting Frauds from Extremely Few Labels. WSDM 2023: 1124-1127 - [c41]Jun Zhou, Meng Li, Lu Yu, Longfei Li, Fei Wu:
A Practical Rule Learning Framework for Risk Management. WWW (Companion Volume) 2023: 442-446 - [c40]Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu:
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. WWW (Companion Volume) 2023: 447-451 - [i29]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i28]Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. CoRR abs/2305.11390 (2023) - [i27]Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
Enhancing Recommender Systems with Large Language Model Reasoning Graphs. CoRR abs/2308.10835 (2023) - [i26]Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li:
Leveraging Large Language Models for Pre-trained Recommender Systems. CoRR abs/2308.10837 (2023) - [i25]Yueqi Wang, Yoni Halpern, Shuo Chang, Jingchen Feng, Elaine Ya Le, Longfei Li, Xujian Liang, Min-Cheng Huang, Shane Li, Alex Beutel, Yaping Zhang, Shuchao Bi:
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. CoRR abs/2308.12256 (2023) - [i24]Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. CoRR abs/2309.02868 (2023) - [i23]Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
Data-Centric Financial Large Language Models. CoRR abs/2310.17784 (2023) - [i22]Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Longfei Li, Jinjie Gu, Chenyi Zhuang:
Intelligent Virtual Assistants with LLM-based Process Automation. CoRR abs/2312.06677 (2023) - [i21]Li Wang, Xiaohua Zhang, Longfei Li, Hongyun Meng, Xianghai Cao:
Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing. CoRR abs/2312.13127 (2023) - [i20]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. CoRR abs/2312.16113 (2023) - 2022
- [j20]Jun-Peng Fang, Jun Zhou, Qing Cui, Caizhi Tang, Longfei Li:
Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances. Int. J. Pattern Recognit. Artif. Intell. 36(1): 2251001:1-2251001:23 (2022) - [j19]Ningning Guo, Longfei Li, Biswanath Mukherjee, Gangxiang Shen:
Protection against failure of machine-learning-based QoT prediction. JOCN 14(7): 572-585 (2022) - [j18]Houqiang Yu, Longfei Li, Xueting Cao, Tao Chen:
Exploring country's preference over news mentions to academic papers. J. Informetrics 16(4): 101347 (2022) - [j17]Jun Zhou, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng:
FinBrain 2.0: when finance meets trustworthy AI. Frontiers Inf. Technol. Electron. Eng. 23(12): 1747-1764 (2022) - [j16]Xugang Lian, Hailang Zhang, Wu Xiao, Yunping Lei, Linlin Ge, Kai Qin, Yuanwen He, Quanyi Dong, Longfei Li, Yu Han, Haodi Fan, Yu Li, Lifan Shi, Jiang Chang:
Biomass Calculations of Individual Trees Based on Unmanned Aerial Vehicle Multispectral Imagery and Laser Scanning Combined with Terrestrial Laser Scanning in Complex Stands. Remote. Sens. 14(19): 4715 (2022) - [j15]Degui Yao, Longfei Li, Songyang Zhang, Dianhai Zhang, Dezhi Chen:
The Vibroacoustic Characteristics Analysis of Transformer Core Faults Based on Multi-Physical Field Coupling. Symmetry 14(3): 544 (2022) - [j14]Guohua Zhao, Panpan Man, Jie Bai, Longfei Li, Pei Pei Wang, Guan Yang, Lei Shi, Yongcai Tao, Yusong Lin, Jingliang Cheng:
AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading. IEEE Trans. Ind. Informatics 18(8): 5383-5393 (2022) - [c39]Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang:
SAIL: Self-Augmented Graph Contrastive Learning. AAAI 2022: 8927-8935 - [c38]Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. ACML 2022: 611-626 - [c37]Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou:
A Task-Aware Attention-Based Method for Improved Meta-Learning. APWeb/WAIM (2) 2022: 474-482 - [c36]Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang:
A Biased Sampling Method for Imbalanced Personalized Ranking. CIKM 2022: 2393-2402 - [c35]Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi,