Qian Li

According to our database, Qian Li authored at least 42 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction.

Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu

CoRR, May, 2025

Bridging the Gap Between LLMs and Human Intentions: Progresses and Challenges in Instruction Understanding, Intention Reasoning, and Reliable Generation.

Zongyu Chang, Feihong Lu, Ziqin Zhu, Qian Li, Cheng Ji, Zhuo Chen, Yang Liu, Ruifeng Xu, Yangqiu Song, Shangguang Wang, Jianxin Li

CoRR, February, 2025

Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples.

Hongren Huang, Jianxin Li, Feihong Lu, Lihong Wang, Qian Li, Qingyun Sun

Neural Networks, 2025

RCEAE: A Role Correlation-enhanced Model for Event Argument Extraction.

Yiming Hei, Jiawei Sheng, Shu Guo, Lihong Wang, Qian Li, Jianwei Liu, Yizhong Liu, Prayag Tiwari

Neurocomputing, 2025

Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence.

Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

A Survey on Deep Learning Event Extraction: Approaches and Applications.

Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., May, 2024

A Comprehensive Survey on Automatic Knowledge Graph Construction.

Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu

ACM Comput. Surv., April, 2024

Label graph augmented soft cascade decoding model for overlapping event extraction.

Yiming Hei, Lihong Wang, Jiawei Sheng, Jianwei Liu, Qian Li, Shu Guo

Int. J. Mach. Learn. Cybern., January, 2024

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.

Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu

Neural Networks, 2024

Decomposition and recombination. A soft cascade model for event detection.

Yiming Hei, Jiawei Sheng, Lihong Wang, Qian Li, Shu Guo, Jianwei Liu

Knowl. Based Syst., 2024

Federated Temporal Graph Clustering.

Yang Liu, Zihao Zhou, Xianghong Xu, Qian Li

CoRR, 2024

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction.

Qian Li, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, Jianxin Li

CoRR, 2024

Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion.

Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li

CoRR, 2024

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment.

Yangyifei Luo, Zhuo Chen, Lingbing Guo, Qian Li, Wenxuan Zeng, Zhixin Cai, Jianxin Li

CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.

Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen

CoRR, 2024

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks.

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin

CoRR, 2024

Text-Video Retrieval via Multi-Modal Hypergraph Networks.

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

MKGL: Mastery of a Three-Word Language.

Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery.

Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-Modal Inductive Framework for Text-Video Retrieval.

Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion.

Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph.

Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection.

Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection.

Zhiwei Yang, Yuecen Wei, Haoran Li, Qian Li, Lei Jiang, Li Sun, Xiaoyan Yu, Chunming Hu, Hao Peng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction.

Kun Peng, Lei Jiang, Qian Li, Haoran Li, Xiaoyan Yu, Li Sun, Shuo Sun, Yanxian Bi, Hao Peng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ReGCL: Rethinking Message Passing in Graph Contrastive Learning.

Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Event Extraction by Associating Event Types and Argument Roles.

Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang

IEEE Trans. Big Data, December, 2023

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.

Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie

ACM Trans. Web, August, 2023

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction.

Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li

CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun

CoRR, 2023

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment.

Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li

Proceedings of the ACM Web Conference 2023, 2023

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment.

Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction.

Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Survey on Text Classification: From Traditional to Deep Learning.

Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He

ACM Trans. Intell. Syst. Technol., 2022

Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations.

Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.

Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task.

Jiawei Sheng, Qian Li, Yiming Hei, Shu Guo, Bowen Yu, Lihong Wang, Min He, Tingwen Liu, Hongbo Xu

Data Intell., 2021

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.

Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu

CoRR, 2021

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations.

Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang

CoRR, 2021

A Dual-Classifier Model for General Fine-Grained Event Detection Task.

Yiming Hei, Qian Li, Caibo Zhou, Rui Sun, Jinglin Yang, Jiawei Sheng, Shu Guo, Lihong Wang

Proceedings of the CCKS 2021 - Evaluation Track, 2021

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.

Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

A Survey on Text Classification: From Shallow to Deep Learning.

Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He

CoRR, 2020