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Long-Fei Li
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2020 – today
- 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) - [c85]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI 2024: 11642-11650 - [c84]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 - [c83]Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. AAAI 2024: 13572-13580 - [c82]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 - [c81]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 - [c80]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 - [c79]Yaning Shi, Pu Sun, Bing Gu, Longfei Li:
Temporal Shift Vision Transformer Adapter for Efficient Video Action Recognition. BIC 2024 - [c78]Peng Jiang, Longfei Li, Jifeng Feng, Yun Lv:
Stochastic Process Recognition Based on Gaussian Mixture Model and Shipborne Equipment. CAIBDA 2024: 452-456 - [c77]Zhixuan Chu, Yan Wang, Longfei Li, Zhibo Wang, Zhan Qin, Kui Ren:
A Causal Explainable Guardrails for Large Language Models. CCS 2024: 1136-1150 - [c76]Dong Yao, Caizhi Tang, Qing Cui, Longfei Li:
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects. CIKM 2024: 2961-2970 - [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 - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]Dong Yao, Caizhi Tang, Qing Cui, Longfei Li:
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects. CoRR abs/2410.21343 (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, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou:
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. CIKM 2022: 3252-3261 - [c34]Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu:
Semi-Supervised Learning with Data Augmentation for Tabular Data. CIKM 2022: 3928-3932 - [c33]Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li:
MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. CIKM 2022: 4650-4654 - [c32]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng:
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE 2022: 1180-1192 - [c31]Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. ICML 2022: 26865-26894 - [c30]Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang:
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. NeurIPS 2022 - [c29]Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou:
AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. PAKDD (1) 2022: 143-155 - [c28]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng:
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR 2022: 449-459 - [i19]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Hairong Zheng, Yusong Lin, Shanshan Wang:
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading. CoRR abs/2201.02746 (2022) - [i18]Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. CoRR abs/2208.12483 (2022) - [i17]Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. CoRR abs/2211.00249 (2022) - 2021
- [j13]Yong Zhao, Le Yang, Ercheng Pei, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Longfei Li, Dongmei Jiang, Hichem Sahli:
Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN. Comput. Graph. Forum 40(6): 47-61 (2021) - [j12]Jun Zhou, Longfei Li, Ziqi Liu, Chaochao Chen:
A Boosting Framework of Factorization Machine. Int. J. Pattern Recognit. Artif. Intell. 35(10): 2159036:1-2159036:20 (2021) - [j11]Houqiang Yu, Biegzat Murat, Longfei Li, Tingting Xiao:
How accurate are Twitter and Facebook altmetrics data? A comparative content analysis. Scientometrics 126(5): 4437-4463 (2021) - [c27]Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou:
Constraint-Adaptive Rule Mining in Large Databases. DASFAA (3) 2021: 579-591 - [c26]Kaixuan Guo, Jun Wu, Wan Wan, Longfei Li, Tao Wang, Xingliang Zhu, Lei Qu:
Biomedical Image Segmentation Based on Classification Supervision. ICBBT 2021: 22-27 - [c25]Yankun Ren, Longfei Li, Jun Zhou:
Simtrojan: Stealthy Backdoor Attack. ICIP 2021: 819-823 - [c24]Jianhua Wang, Longfei Li, Zhifeng Liu, Jingjing Xu, Congbin Yang, Qiang Cheng:
A Spatial Layout Method of Robots Relative to Operating Space Based on Its Flexible Workspace Simulation. ICIRA (1) 2021: 3-13 - [c23]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI 2021: 4721-4728 - [c22]Ya-Lin Zhang, Qitao Shi, Meng Li, Xinxing Yang, Longfei Li, Jun Zhou:
A Classification Based Ensemble Pruning Framework with Multi-metric Consideration. IntelliSys (1) 2021: 650-667 - [c21]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021: 984-992 - [i16]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR abs/2103.01696 (2021) - [i15]Longfei Li, Hangjie Ji, Qi Tang:
Stable finite difference methods for Kirchhoff-Love plates on overlapping grids. CoRR abs/2105.05401 (2021) - [i14]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. CoRR abs/2108.07976 (2021) - [i13]Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang:
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. CoRR abs/2112.13686 (2021) - 2020
- [j10]Longfei Li:
A split-step finite-element method for incompressible Navier-Stokes equations with high-order accuracy up-to the boundary. J. Comput. Phys. 408: 109274 (2020) - [j9]Longfei Li, Jingzhou Zhang, Pengde Wang, Pengjun Guo:
基于节点兴趣和Q-learning的P2P网络搜索机制 (P2P Network Search Mechanism Based on Node Interest and Q-learning). 计算机科学 47(2): 221-226 (2020) - [j8]Jingjing Xu, Zhifeng Liu, Congbin Yang, Longfei Li, Yanhu Pei:
A Pseudo-Distance Algorithm for Collision Detection of Manipulators Using Convex-Plane-Polygons-based Representation. Robotics Comput. Integr. Manuf. 66: 101993 (2020) - [c20]Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. ICDE 2020: 1645-1656 - [c19]Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang:
Knowledge Consistency between Neural Networks and Beyond. ICLR 2020 - [c18]Ningning Guo, Longfei Li, Lian Xiang, Sanjay Kumar Bose, Gangxiang Shen:
What if AI Fails: Protection against Failure of AI-Based QoT Prediction. OFC 2020: 1-3 - [c17]Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou:
AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models. ECML/PKDD (5) 2020: 541-545 - [c16]Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou:
Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) 2020: 73-74 - [i12]Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. CoRR abs/2003.02556 (2020) - [i11]Ya-Lin Zhang, Longfei Li:
Interpretable MTL from Heterogeneous Domains using Boosted Tree. CoRR abs/2003.07077 (2020) - [i10]Duong T. A. Nguyen, Longfei Li, Hangjie Ji:
Stable and accurate numerical methods for generalized Kirchhoff-Love plates. CoRR abs/2008.01693 (2020) - [i9]Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang:
Self-supervised Smoothing Graph Neural Networks. CoRR abs/2009.00934 (2020) - [i8]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. CoRR abs/2012.06968 (2020)
2010 – 2019
- 2019
- [j7]Longfei Li, Ya Zhang, Wei Chen, Sanjay K. Bose, Moshe Zukerman, Gangxiang Shen:
Naïve Bayes Classifier-Assisted Least Loaded Routing for Circuit-Switched Networks. IEEE Access 7: 11854-11867 (2019) - [j6]Hangjie Ji, Longfei Li:
Numerical methods for thermally stressed shallow shell equations. J. Comput. Appl. Math. 362: 626-652 (2019) - [j5]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10(5): 55:1-55:19 (2019) - [c15]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI 2019: 4424-4431 - [c14]Ya-Lin Zhang, Longfei Li:
Interpretable MTL from Heterogeneous Domains using Boosted Tree. CIKM 2019: 2053-2056 - [i7]Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang:
Knowledge Isomorphism between Neural Networks. CoRR abs/1908.01581 (2019) - [i6]Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li:
A Time Attention based Fraud Transaction Detection Framework. CoRR abs/1912.11760 (2019) - 2018
- [c13]Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li:
Distributed Collaborative Hashing and Its Applications in Ant Financial. KDD 2018: 100-109 - [c12]Ke Chen, Chao Guo, Longfei Li, Sanjay K. Bose, Gangxiang Shen:
Maximizing Availability-Weighted Slice Capacity for Sliceable Wireless-Optical Broadband Access Networks. OFC 2018: 1-3 - [c11]Fengxian Tang, Longfei Li, Sanjay K. Bose, Gangxiang Shen:
Assigning Counter-Propagating Cores in Multi-Core Fiber Optical Networks to Suppress Inter-Core Crosstalk and Inefficiency due to Bi-directional Traffic Asymmetry. OFC 2018: 1-3 - [c10]Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou:
Anomaly Detection with Partially Observed Anomalies. WWW (Companion Volume) 2018: 639-646 - [i5]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. CoRR abs/1802.00910 (2018) - [i4]Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li:
Distributed Collaborative Hashing and Its Applications in Ant Financial. CoRR abs/1804.04918 (2018) - [i3]Longfei Li, Peilin Zhao, Jun Zhou, Xiaolong Li:
A Boosting Framework of Factorization Machine. CoRR abs/1804.06027 (2018) - [i2]Gangxiang Shen, Longfei Li, Ya Zhang, Wei Chen, Sanjay K. Bose, Moshe Zukerman:
Machine Learning-Assisted Least Loaded Routing to Improve Performance of Circuit-Switched Networks. CoRR abs/1804.08403 (2018) - [i1]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR abs/1805.04234 (2018) - 2017
- [j4]Xin Chen, Longfei Li, Xudong Xiang:
Ant colony learning method for joint MCS and resource block allocation in LTE Femtocell downlink for multimedia applications with QoS guarantees. Multim. Tools Appl. 76(3): 4035-4054 (2017) - [c9]Longfei Li, Jun Zhou, Xiaolong Li, Tao Chen:
POSTER: Practical Fraud Transaction Prediction. CCS 2017: 2535-2537 - [c8]Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou:
POSTER: A PU Learning based System for Potential Malicious URL Detection. CCS 2017: 2599-2601 - [c7]Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi:
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD 2017: 1693-1702 - [c6]Fengxian Tang, Longfei Li, Bowen Chen, Sanjay K. Bose, Gangxiang Shen:
Mixed channel traffic grooming in shared backup path protected IP over elastic optical network. OFC 2017: 1-3 - [c5]Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu:
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) 2017: 769-770 - 2016
- [j3]Longfei Li, William D. Henshaw, Jeffrey W. Banks, Donald W. Schwendeman, Alex Main:
A stable partitioned FSI algorithm for incompressible flow and deforming beams. J. Comput. Phys. 312: 272-306 (2016) - [c4]Ya Zhang, Longfei Li, Yongcheng Li, Sanjay K. Bose, Gangxiang Shen:
Spectrally efficient operation of mixed fixed/flexible-grid optical networks with sub-band virtual concatenation. ICTON 2016: 1-4 - 2015
- [j2]Longfei Li, Xin Chen, Xudong Xiang:
QoS保障的LTE-A飞蜂窝资源块分配与MCS选择研究 (QoS-aware Resource Block Allocation and MCS Selection for LTE-A Femtocell Downlink). 计算机科学 42(8): 95-100 (2015) - 2014
- [c3]Chaoxin Gao, Xin Chen, Longfei Li:
An I-FFR algorithm for interference coordination in twin-layer femtocell networs. GAMENETS 2014: 1-6 - [c2]Longfei Li, Xin Chen, Xudong Xiang:
An intelligent optimization algorithm for joint MCS and resource block allocation in LTE femtocell downlink with QoS guarantees. GAMENETS 2014: 1-6 - 2013
- [c1]Longfei Li, Yong Zhao, Dongmei Jiang, Yanning Zhang, Fengna Wang, Isabel Gonzalez, Valentin Enescu, Hichem Sahli:
Hybrid Deep Neural Network-Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition. ACII 2013: 312-317 - 2011
- [j1]Yongsheng Ding, Xingjia Lu, Kuangrong Hao, Long-Fei Li, Yifan Hu:
Target coverage optimisation of wireless sensor networks using a multi-objective immune co-evolutionary algorithm. Int. J. Syst. Sci. 42(9): 1531-1541 (2011)
Coauthor Index
[j44] [c84] [c82] [c81] [c73] [c72] [c70] [c69] [c68] [c67] [c66] [c65] [i33] [j29] [j28] [j22] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c53] [c51] [c49] [c47] [c46] [c45] [c44] [c42] [c41] [c40] [i29] [i28] [i27] [i24] [i23] [j20] [j17] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c30] [c29] [c28] [i17] [j12] [c27] [c25] [c23] [c22] [c21] [i16] [i14] [c20] [c17] [c16] [i12] [i9] [i8] [j5] [c15] [i6] [c13] [c10] [i5] [i4] [i3] [i1] [c9] [c8] [c7] [c5]
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