Longfei Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
72
Venues
26
Active years
2013–2026
Best venue rank
A*
Where they publish
- A*WWW8 papers
- ACIKM8 papers
- A*SIGIR7 papers
- A*AAAI6 papers
- BDASFAA5 papers
- A*ICDE5 papers
- A*KDD4 papers
- A*CCS3 papers
- A*ICML3 papers
- AWSDM3 papers
- A*ICDM2 papers
- A*ICLR2 papers
- BPAKDD2 papers
- A*IJCAI2 papers
- BASPDAC1 paper
- CISCAS1 paper
- MulticonferenceICASSP1 paper
- BNOMS1 paper
- CAPNOMS1 paper
- CIGARSS1 paper
- ARecSys1 paper
- BTrustCom1 paper
- CACML1 paper
- CAPWEB1 paper
- BICIP1 paper
- BACII1 paper
Papers
72 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | Efficient Simulation of IC Packages with TEC Based on Adaptive Segmented Method and Spatially-Aware Thermal Neural Network. | Longfei Li, Xinyue Li, Shunxiang Lan, Liang Chen, Haibao Chen, Min Tang |
| 2026 | ISCAS | Live Demonstration: Flexible Airbag-Based Intraocular Pressure Monitoring System. | Chaoyi Liu, Jiajie Chen, Longfei Li, Jiang Chang, Yue Wu, Jian Zhang, Menghan Hu |
| 2026 | WWW | Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems. | Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Li Zhang, Longfei Li, Jun Zhou, Chaochao Chen |
| 2025 | ICDM | Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration. | Yongcong Ye, Kai Zhang, Yanghai Zhang, Enhong Chen, Longfei Li, Jun Zhou |
| 2025 | ICLR | Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. | Xiaohua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2025 | KDD | AntAkso: Claims Management System for Health Insurance in Alipay. | Qitao Shi, Jun Zhou, Ya-Lin Zhang, Longfei Li, Chaoyi Ma, Yifan Wu, Xiaobo Qin |
| 2025 | KDD | A Unified Invariant Learning Framework for Graph Classification. | Yongduo Sui, Jie Sun, Shuyao Wang, Zemin Liu, Qing Cui, Longfei Li, Xiang Wang |
| 2024 | AAAI | Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. | Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li |
| 2024 | AAAI | Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. | Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou |
| 2024 | AAAI | π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. | Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou |
| 2024 | AAAI | LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. | 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 |
| 2024 | CCS | A Causal Explainable Guardrails for Large Language Models. | Zhixuan Chu, Yan Wang, Longfei Li, Zhibo Wang, Zhan Qin, Kui Ren |
| 2024 | CIKM | Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects. | Dong Yao, Caizhi Tang, Qing Cui, Longfei Li |
| 2024 | DASFAA | Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. | Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li |
| 2024 | DASFAA | QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. | Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou |
| 2024 | DASFAA | Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction. | Yue Zhang, Xinxing Yang, Feng Zhu, Longfei Li, Linbo Jiang, Jun Zhou |
| 2024 | ICASSP | Enhancing Event Sequence Modeling with Contrastive Relational Inference. | 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 |
| 2024 | ICML | Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources. | Yi-Xuan Sun, Ya-Lin Zhang, Bin Han, Longfei Li, Jun Zhou |
| 2024 | NOMS | GTT-NTP: A Graph Convolutional Networks-Based Network Traffic Prediction model. | Longfei Li, Kyungbaek Kim |
| 2024 | PAKDD | Modeling Treatment Effect with Cross-Domain Data. | Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou |
| 2024 | WWW | Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. | Junpeng Fang, Gongduo Zhang, Qing Cui, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou |
| 2024 | WWW | Invariant Graph Learning for Causal Effect Estimation. | Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang |
| 2024 | SIGIR | GATS: Generative Audience Targeting System for Online Advertising. | Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo |
| 2024 | SIGIR | Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. | Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou |
| 2024 | WSDM | Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. | Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao |
| 2023 | APNOMS | Network State Prediction with Attention-Based Graph Convolutional Network. | Longfei Li, Haoyu Chen, Sungwoong Yeom, Shivani Sanjay Kolekar, Kyungbaek Kim |
| 2023 | CIKM | FINRule: Feature Interactive Neural Rule Learning. | Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou |
| 2023 | CIKM | Treatment Effect Estimation across Domains. | Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li, Jun Zhou |
| 2023 | DASFAA | AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. | Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu |
| 2023 | ICDE | A Rule-based Decision System for Financial Applications. | Meng Li, Jun Zhou, Lu Yu, Xiaoguang Huang, Yongfeng Gu, Yi Ding, Hao Ding, Longfei Li |
| 2023 | ICDE | ALT: An Automatic System for Long Tail Scenario Modeling. | Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li |
| 2023 | ICDE | DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. | Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang |
| 2023 | ICDM | Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. | 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 |
| 2023 | ICML | Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. | Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou |
| 2023 | IGARSS | HSI-SSTRANS: Hyperspectral Image Classification with Spectral and Space Transformer. | Daohong Niu, Xiaohua Zhang, Longfei Li, Yuxuan Zhou |
| 2023 | IJCAI | Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. | Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou |
| 2023 | RecSys | Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. | 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 |
| 2023 | WWW | A Practical Rule Learning Framework for Risk Management. | Jun Zhou, Meng Li, Lu Yu, Longfei Li, Fei Wu |
| 2023 | WWW | DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. | Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu |
| 2023 | SIGIR | Alleviating Matching Bias in Marketing Recommendations. | Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu |
| 2023 | SIGIR | TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. | Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen, Jun Zhou |
| 2023 | SIGIR | GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. | Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang |
| 2023 | SIGIR | MDI: A Debiasing Method Combining Unbiased and Biased Data. | Han Zhao, Qing Cui, Xinyu Li, Rongzhou Bao, Longfei Li, Jun Zhou, Zhehao Liu, Jinghua Feng |
| 2023 | TrustCom | ConFunc: Enhanced Binary Function-Level Representation through Contrastive Learning. | Longfei Li, Xiaokang Yin, Xiao Li, Xiaoya Zhu, Shengli Liu |
| 2023 | WSDM | A Framework for Detecting Frauds from Extremely Few Labels. | Ya-Lin Zhang, Yi-Xuan Sun, Fangfang Fan, Meng Li, Yeyu Zhao, Wei Wang, Longfei Li, Jun Zhou, Jinghua Feng |
| 2022 | AAAI | SAIL: Self-Augmented Graph Contrastive Learning. | Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang |
| 2022 | ACML | Robust Direct Learning for Causal Data Fusion. | Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou |
| 2022 | APWEB | A Task-Aware Attention-Based Method for Improved Meta-Learning. | Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou |
| 2022 | CIKM | A Biased Sampling Method for Imbalanced Personalized Ranking. | Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang |
| 2022 | CIKM | Semi-Supervised Learning with Data Augmentation for Tabular Data. | Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu |
| 2022 | CIKM | An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. | Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou |
| 2022 | CIKM | MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. | Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li |
| 2022 | ICDE | Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng |
| 2022 | ICML | Dynamic Regret of Online Markov Decision Processes. | Peng Zhao, Longfei Li, Zhi-Hua Zhou |
| 2022 | PAKDD | AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. | Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou |
| 2022 | SIGIR | MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2021 | DASFAA | Constraint-Adaptive Rule Mining in Large Databases. | Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou |
| 2021 | ICIP | Simtrojan: Stealthy Backdoor Attack. | Yankun Ren, Longfei Li, Jun Zhou |
| 2021 | IJCAI | Cross-Domain Recommendation: Challenges, Progress, and Prospects. | Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu |
| 2021 | WSDM | Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. | Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen |
| 2020 | ICDE | SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. | Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou |
| 2020 | ICLR | Knowledge Consistency between Neural Networks and Beyond. | Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang |
| 2020 | WWW | Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. | Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou |
| 2019 | AAAI | GeniePath: Graph Neural Networks with Adaptive Receptive Paths. | Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi |
| 2019 | CIKM | Interpretable MTL from Heterogeneous Domains using Boosted Tree. | Ya-Lin Zhang, Longfei Li |
| 2018 | KDD | Distributed Collaborative Hashing and Its Applications in Ant Financial. | Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li |
| 2018 | WWW | Anomaly Detection with Partially Observed Anomalies. | Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou |
| 2017 | CCS | POSTER: Practical Fraud Transaction Prediction. | Longfei Li, Jun Zhou, Xiaolong Li, Tao Chen |
| 2017 | CCS | POSTER: A PU Learning based System for Potential Malicious URL Detection. | Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou |
| 2017 | KDD | KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. | Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi |
| 2017 | WWW | Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. | Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu |
| 2013 | ACII | Hybrid Deep Neural Network-Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition. | Longfei Li, Yong Zhao, Dongmei Jiang, Yanning Zhang, Fengna Wang, Isabel Gonzalez, Valentin Enescu, Hichem Sahli |