Zequn Liu

According to our database, Zequn Liu authored at least 33 papers between 2018 and 2026.

Collaborative distances:

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

2026

M2PL-GAN: Multi-View Multi-Level Pathology Semantic Perception Learning for H&E-to-IHC Virtual Staining.

Zequn Liu, Liangkuan Zhu, Yining Xie, Xiaoqing Hu, Ziyu Zhang, Jing Zhao, Haochen Qi, Jiajun Chen, Jiayi Ma

IEEE Trans. Medical Imaging, June, 2026

CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors.

Hang Su, Zequn Liu, Chen Hu, Xuesong Lu, Yingce Xia, Zhen Liu

CoRR, April, 2026

Deciphering Scientific Reasoning Steps from Outcome Data for Molecule Optimization.

Zequn Liu, Kehan Wu, Shufang Xie, Zekun Guo, Wei Zhang, Tao Qin, Renhe Liu, Yingce Xia

CoRR, March, 2026

STAGE: A Benchmark for Knowledge Graph Construction, Question Answering, and In-Script Role-Playing over Movie Screenplays.

Qiuyu Tian, Yiding Li, Fengyi Chen, Zequn Liu, Youyong Kong, Fan Guo, Yuyao Li, Jinjing Shen, Zhijing Xie, Yiyun Luo, Xin Zhang

CoRR, January, 2026

MAP-MIL: Dual-branch collaborative learning of mask enhancement and pseudo-bag generation for whole slide image classification.

Zequn Liu, Liangkuan Zhu, Jiajun Chen, Xiaoyu Lin, Yining Xie, Jing Zhao, Jiayi Ma

Expert Syst. Appl., 2026

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models.

Yiyang Gu, Junwei Yang, Junyu Luo, Ye Yuan, Bin Feng, Yingce Xia, Shufang Xie, Kaili Liu, Bohan Wu, Qi Shi, Haoran Li, Beier Xiao, Zhiping Xiao, Xiao Luo, Weizhi Zhang, Philip S. Yu, Zequn Liu, Ming Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

NatureLM: Deciphering the Language of Nature for Scientific Discovery.

Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin

CoRR, February, 2025

PHIM-MIL: Multiple instance learning with prototype similarity-guided feature fusion and hard instance mining for whole slide image classification.

Yining Xie, Zequn Liu, Jing Zhao, Jiayi Ma

Inf. Fusion, 2025

SD-MIL: Multiple instance learning with dual perception of scale and distance information fusion for whole slide image classification.

Yining Xie, Zequn Liu, Jiajun Chen, Wei Zhang, Jing Zhao, Jiayi Ma

Expert Syst. Appl., 2025

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models.

Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.

Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang

Neural Networks, 2024

Poisoning medical knowledge using large language models.

Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

A bioactivity foundation model using pairwise meta-learning.

Bin Feng, Zequn Liu, Nan-Lan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

Cross-Cultural Perspectives on Artificial Intelligence Generated Content (AIGC): A Comparative Study of Attitudes and Acceptance Among Global Products.

Zequn Liu, Zhe Chen

Proceedings of the Cross-Cultural Design, 2024

2023

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.

Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang

Neural Networks, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang

CoRR, 2023

Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.

Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang

CoRR, 2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training.

Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Three-dimensional piecewise guidance strategy for multi-UAVs guaranteeing simultaneous arrival and field-of-view constraint.

Jun Zhou, Zequn Liu, Jianguo Guo, Zongyi Guo

Trans. Inst. Meas. Control, 2022

Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation.

Junwei Yang, Zequn Liu, Ming Zhang, Sheng Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks.

Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Pinning Control of Boolean Networks via Injection Mode.

Zequn Liu, Daizhan Cheng, Jiangbo Liu

IEEE Trans. Control. Netw. Syst., 2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation.

Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Completeness and normal form of multi-valued logical functions.

Daizhan Cheng, Zequn Liu, Hongsheng Qi

J. Frankl. Inst., 2020

When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications.

Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang

CoRR, 2020

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases.

Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang

Proceedings of the AMIA 2020, 2020

Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks.

Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Learning to Customize Language Model for Generation-based dialog systems.

Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang

CoRR, 2019

Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation.

Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang

CoRR, 2019

Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation.

Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang

Proceedings of the 46th Computing in Cardiology, 2019

2018

From STP to game-based control.

Daizhan Cheng, Hongsheng Qi, Zequn Liu

Sci. China Inf. Sci., 2018

Linear System on Dimension-Varying State Space.

Daizhan Cheng, Hongsheng Qi, Zequn Liu

Proceedings of the 14th IEEE International Conference on Control and Automation, 2018