Beibei Li

40 papers A* 2A 3Journal 17Unranked 18
YearRankTypeTitle / Venue / Authors
2026 A* conf
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs.
AAAI
Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He
2025 J jnl
AsyCo: an asymmetric dual-task co-training model for partial-label learning.
Sci. China Inf. Sci.
Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng
2025 — conf
Collaborative Interest-Aware Graph Learning for Group Identification.
ECML/PKDD (10)
Rui Zhao, Beihong Jin, Beibei Li, Yiyuan Zheng
2025 J jnl
Collaborative Interest-aware Graph Learning for Group Identification.
CoRR
Rui Zhao, Beihong Jin, Beibei Li, Yiyuan Zheng
2025 J jnl
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.
ACM Trans. Intell. Syst. Technol.
Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2025 J jnl
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs.
CoRR
Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He
2025 — conf
Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation.
DASFAA (5)
Beibei Li, Tao Xiang, Beihong Jin, Yiyuan Zheng, Rui Zhao
2025 J jnl
Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation.
CoRR
Beibei Li, Tao Xiang, Beihong Jin, Yiyuan Zheng, Rui Zhao
2024 J jnl
A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation.
CoRR
Weijiang Lai, Beihong Jin, Beibei Li, Yiyuan Zheng, Rui Zhao
2024 J jnl
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.
CoRR
Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2024 J jnl
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.
ACM Trans. Intell. Syst. Technol.
Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2024 J jnl
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning.
CoRR
Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng
2024 A conf
Denoising Long- and Short-term Interests for Sequential Recommendation.
SDM
Xinyu Zhang, Beibei Li, Beihong Jin
2024 J jnl
Denoising Long- and Short-term Interests for Sequential Recommendation.
CoRR
Xinyu Zhang, Beibei Li, Beihong Jin
2024 — conf
Enhancing Sequential Recommendation via Aligning Interest Distributions.
ICANN (9)
Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao
2024 — conf
Multi-intent Driven Contrastive Sequential Recommendation.
ECML/PKDD (9)
Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao, Weijiang Lai, Tao Xiang
2024 J jnl
Multiple-Instance Learning from Pairwise Comparison Bags.
ACM Trans. Intell. Syst. Technol.
Shengjie Zhou, Senlin Shu, Haobo Wang, Hongxin Wei, Tao Xiang, Beibei Li
2024 A conf
Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching.
ICME
Beibei Li, Beihong Jin, Yisong Yu, Yiyuan Zheng, Jiageng Song, Wei Zhuo, Tao Xiang
2024 J jnl
Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching.
CoRR
Beibei Li, Beihong Jin, Yisong Yu, Yiyuan Zheng, Jiageng Song, Wei Zhuo, Tao Xiang
2024 — conf
Reducing Interaction Noise for Sequential Recommendation via Robust Interests.
DASFAA (3)
Yiyuan Zheng, Beihong Jin, Beibei Li, Weijiang Lai, Tao Xiang
2023 — conf
A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation.
ECML/PKDD (6)
Weijiang Lai, Beihong Jin, Beibei Li, Yiyuan Zheng, Rui Zhao
2023 — conf
Gemini: A Dual-Task Co-training Model for Partial Label Learning.
AI (1)
Beibei Li, Senlin Shu, Beihong Jin, Tao Xiang, Yiyuan Zheng
2022 — conf
Denoising Sequence Embeddings via Contrastive Learning for Micro-video Recommendation.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Rui Zhao, Beihong Jin, Yisong Yu, Beibei Li
2022 — conf
Improving Micro-video Recommendation by Controlling Position Bias.
ECML/PKDD (1)
Yisong Yu, Beihong Jin, Jiageng Song, Beibei Li, Yiyuan Zheng, Wei Zhuo
2022 J jnl
Improving Micro-video Recommendation by Controlling Position Bias.
CoRR
Yisong Yu, Beihong Jin, Jiageng Song, Beibei Li, Yiyuan Zheng, Wei Zhuo
2022 A* conf
Improving Micro-video Recommendation via Contrastive Multiple Interests.
SIGIR
Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhou
2022 J jnl
Improving Micro-video Recommendation via Contrastive Multiple Interests.
CoRR
Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhuo
2022 — conf
MARS: A Multi-task Ranking Model for Recommending Micro-videos.
APWeb/WAIM (3)
Jiageng Song, Beihong Jin, Yisong Yu, Beibei Li, Xinzhou Dong, Wei Zhuo, Shuo Zhou
2022 J jnl
Modeling user interactions by feature-augmented graph neural networks for recommendation.
CCF Trans. Pervasive Comput. Interact.
Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue, Jiageng Song
2021 — conf
A Behavior-Aware Graph Convolution Network Model for Video Recommendation.
APWeb/WAIM (2)
Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou
2021 J jnl
A Behavior-aware Graph Convolution Network Model for Video Recommendation.
CoRR
Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou
2021 — conf
Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks.
PAKDD (2)
Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue
2021 J jnl
Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks.
CoRR
Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue
2021 — conf
List Recommendation via Co-attentive User Preference Fine-Tuning.
ICONIP (6)
Beibei Li, Beihong Jin, Xinzhou Dong, Wei Zhuo
2021 — conf
MULTIPLE: Multi-level User Preference Learning for List Recommendation.
WISE (2)
Beibei Li, Beihong Jin, Xinzhou Dong, Wei Zhuo
2021 — conf
Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks.
DASFAA (3)
Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue
2020 — conf
Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation.
ECML/PKDD (4)
Taofeng Xue, Xinzhou Dong, Wei Zhuo, Beihong Jin, He Chen, Wenhai Pan, Beibei Li, Xuejian Zhang
2019 A conf
A Spatio-temporal Recommender System for On-demand Cinemas.
CIKM
Taofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian
2019 — conf
Cold-Start Recommendation for On-Demand Cinemas.
ECML/PKDD (3)
Beibei Li, Beihong Jin, Taofeng Xue, Kunchi Liu, Qi Zhang, Sihua Tian
2019 — conf
Spatial-Temporal Recommendation for On-demand Cinemas.
DASFAA (3)
Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua Tian
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling