Weiping Li

28 papers A 1B 1Misc 3Journal 12Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification.
Eng. Appl. Artif. Intell.
Ruoxian Song, Peng Cao, Guangqi Wen, Lanting Li, Wei Liang, Weiping Li, Jinzhu Yang, Osmar R. Zaïane
2025 Misc conf
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning.
ICASSP
Xu Chu, Hanlin Xue, Bingce Wang, Xiaoyang Liu, Weiping Li, Tong Mo, Tuoyu Feng, Zhijie Tan
2025 J jnl
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning.
CoRR
Xu Chu, Hanlin Xue, Bingce Wang, Xiaoyang Liu, Weiping Li, Tong Mo, Tuoyu Feng, Zhijie Tan
2025 — conf
Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains.
ACL (Findings)
Xu Chu, Zhijie Tan, Hanlin Xue, Guanyu Wang, Tong Mo, Weiping Li
2025 J jnl
Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains.
CoRR
Xu Chu, Zhijie Tan, Hanlin Xue, Guanyu Wang, Tong Mo, Weiping Li
2025 J jnl
Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guangqi Wen, Xin Gao, Wenhui Tan, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2025 Misc conf
Few-Shot Object Detection in Satellite Imagery with Feature Fusion Pyramid and Adaptive Region Proposal Networks.
ICASSP
Tuoyu Feng, Weiping Li, Zhijie Tan, Liwen Zhang, Xiang Yuan, Xu Chu
2025 J jnl
GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better.
CoRR
Xu Chu, Hanlin Xue, Zhijie Tan, Bingce Wang, Tong Mo, Weiping Li
2025 — conf
Improving HGT for Imbalanced Graph Classification with Soft-Gated Projection and Jumping Knowledge.
ICCIP
Bo Li, Rui Yang, Bingce Wang, Weiping Li
2025 — conf
Learn Concepts from Multi-Scale Visual Information for Compositional Zero-Shot Learning.
MMAsia
Guanyu Wang, Zhijie Tan, Xu Chu, Xinrong Chen, Tong Mo, Weiping Li
2025 Misc conf
Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions.
ICASSP
Zhijie Tan, Yuzhi Li, Shengwei Meng, Xiang Yuan, Weiping Li, Tong Mo, Bingce Wang, Xu Chu
2025 J jnl
Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions.
CoRR
Zhijie Tan, Yuzhi Li, Shengwei Meng, Xiang Yuan, Weiping Li, Tong Mo, Bingce Wang, Xu Chu
2025 J jnl
Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information.
CoRR
Xu Chu, Xinrong Chen, Guanyu Wang, Zhijie Tan, Kui Huang, Wenyu Lv, Tong Mo, Weiping Li
2025 — conf
Structure-Aware Self-supervised Graph Representation Learning.
DASFAA (3)
Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2025 — conf
Teaching Practice and Innovation in the Professional Master's Degree Program in Electronic Information at Peking University in the Era of Artificial Intelligence.
SSE
Tong Mo, Weiping Li, Liwen Zhang
2024 A conf
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning.
WSDM
Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2024 J jnl
Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models.
CoRR
Zhijie Tan, Xu Chu, Weiping Li, Tong Mo
2024 J jnl
SEMScene: Semantic-Consistency Enhanced Multi-Level Scene Graph Matching for Image-Text Retrieval.
ACM Trans. Multim. Comput. Commun. Appl.
Yuankun Liu, Xiang Yuan, Haochen Li, Zhijie Tan, Jinsong Huang, Jingjie Xiao, Weiping Li, Tong Mo
2024 — conf
Social Relation Enhanced Heterogeneous Graph Contrastive Learning for Recommendation.
DASFAA (6)
Jiaxi Wang, Bingce Wang, Liwen Zhang, Tong Mo, Weiping Li
2023 — conf
Adversarial Learning Enhanced Social Interest Diffusion Model for Recommendation.
DASFAA (2)
Jiaxi Wang, Haochen Li, Tong Mo, Weiping Li
2023 J jnl
Exploring attention mechanism for graph similarity learning.
Knowl. Based Syst.
Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2023 J jnl
Joint Event Extraction via Structural Semantic Matching.
CoRR
Haochen Li, Tianhao Gao, Jingkun Wang, Weiping Li
2023 — conf
Label Correlation Guided Feature Selection for Multi-label Learning.
ADMA (4)
Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2023 J jnl
Label correlation guided borderline oversampling for imbalanced multi-label data learning.
Knowl. Based Syst.
Kai Zhang, Zhaoyang Mao, Peng Cao, Wei Liang, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2023 — conf
PMJEE: A Prototype Matching Framework for Joint Event Extraction.
DASFAA (4)
Haochen Li, Tong Mo, Di Geng, Weiping Li
2022 — conf
DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation.
ICMLSC
Wenhui Tan, Peng Cao, Zhiyong Jin, Futao Luo, Guangqi Wen, Weiping Li
2022 — conf
HRET: Heterogeneous Information Network for Recommendation in testing and inspection.
ICSS
Liwen Zhang, Weiping Li, Tong Mo, Weijie Chu
2022 B conf
KiPT: Knowledge-injected Prompt Tuning for Event Detection.
COLING
Haochen Li, Tong Mo, Hongcheng Fan, Jingkun Wang, Jiaxi Wang, Fuhao Zhang, Weiping Li