Research on control strategy for ground extension and retraction test of landing gear. - Linhai Zhang; Yeming Yao; Lilin Xu (CACRE, 2020)

Particle flow code method-based seepage behavior analysis and control effect evaluation for soil levee. - Huaizhi Su 001; Hao Li; Linhai Zhang; Zhiping Wen 001 (Eng. Comput., 2020)

Experimental study on CNC engraving parameters of Afghan white jade. - Chengguo Fu; Dangqin Xue; Yongfeng Li; Hongyuan Zhao; Mingchao Liang; Linhai Zhang; Lijie Ma (J. Comput. Methods Sci. Eng., 2020)

MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. - Linhai Zhang; Deyu Zhou; Yulan He 001; Zeng Yang (AAAI, 2021)

A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. - Deyu Zhou; Meng Zhang; Linhai Zhang; Yulan He 001 (AAAI, 2021)

Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs. - Chenchen Ye 002; Linhai Zhang; Yulan He 001; Deyu Zhou; Jie Wu (EMNLP (1), 2021)

A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation. - Linhai Zhang; Deyu Zhou; Chao Lin; Yulan He 001 (EMNLP (Findings), 2021)

Implicit Sentiment Analysis with Event-centered Text Representation. - Deyu Zhou; Jianan Wang; Linhai Zhang; Yulan He 001 (EMNLP (1), 2021)

A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering. - Deyu Zhou; Yanzheng Xiang; Linhai Zhang; Chenchen Ye 002; Qian-Wen Zhang; Yunbo Cao (EMNLP (Findings), 2021)

A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases. - Linhai Zhang; Chao Lin; Deyu Zhou; Yulan He 001; Meng Zhang (Comput. Speech Lang., 2021)

A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge. - Tao Wang 188; Linhai Zhang; Chenchen Ye 002; Junxi Liu; Deyu Zhou (ACL (Findings), 2022)

Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge. - Linhai Zhang; Xuemeng Hu; Boyu Wang; Deyu Zhou; Qian-Wen Zhang; Yunbo Cao (ACL (1), 2022)

SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition. - Zeng Yang; Linhai Zhang; Deyu Zhou (COLING, 2022)

Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding. - Linhai Zhang; Deyu Zhou (COLING, 2022)

Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning. - Boyu Wang; Linhai Zhang; Deyu Zhou; Yi Cao; Jiandong Ding (ACL (Findings), 2023)

Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition. - Yuanyuan Xu; Zeng Yang; Linhai Zhang; Deyu Zhou; Tiandeng Wu; Rong Zhou (ACL (Findings), 2023)

Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding. - Linhai Zhang; Congzhi Zhang; Deyu Zhou (ACL (Findings), 2023)

Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network. - Xin Zhang 108; Linhai Zhang; Deyu Zhou (EMNLP, 2023)

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. - Congzhi Zhang; Linhai Zhang; Deyu Zhou (AAAI, 2024)

DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. - Jialong Wu 007; Linhai Zhang; Deyu Zhou; Guoqiang Xu (ACL (Findings), 2024)

STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. - Linhai Zhang; Jialong Wu 007; Deyu Zhou; Guoqiang Xu (ACL (Findings), 2024)

TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition. - Yuanyuan Xu; Linhai Zhang; Deyu Zhou (LREC/COLING, 2024)

Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment. - Congzhi Zhang; Linhai Zhang; Deyu Zhou; Guoqiang Xu (CoRR, 2024)

Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity. - Xin Zhang; Linhai Zhang; Deyu Zhou; Guoqiang Xu (CoRR, 2024)

Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment. - Congzhi Zhang; Linhai Zhang; Jialong Wu 007; Yulan He 001; Deyu Zhou (AAAI, 2025)

SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. - Jialong Wu 007; Zhenglin Wang; Linhai Zhang; Yilong Lai; Yulan He 001; Deyu Zhou (ACL (1), 2025)

WebWalker: Benchmarking LLMs in Web Traversal. - Jialong Wu 007; Wenbiao Yin; Yong Jiang 001; Zhenglin Wang; Zekun Xi; Runnan Fang; Linhai Zhang; Yulan He 001; Deyu Zhou; Pengjun Xie; Fei Huang 002 (ACL (1), 2025)

PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. - Linhai Zhang; Jialong Wu 007; Deyu Zhou; Yulan He 001 (ACL (1), 2025)

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. - Linhai Zhang; Ziyang Gao; Deyu Zhou; Yulan He 001 (ACL (Findings), 2025)

SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling. - Xin Zhang 108; Qiyu Wei; Yingjie Zhu; Linhai Zhang; Deyu Zhou; Sophia Ananiadou (ACL (Findings), 2025)

Hybrid Deep Learning for Modeling Electro-Hydrostatic Actuators: A CNN-GRU Approach. - Linhai Zhang; Chen Jia; Chengjie Han; Wenbo Shen; Juan Wang (ICRCA, 2025)

Relevant emotion ranking with topic-enhanced emotion transition. - Linhai Zhang; Xin Zhang 108; Deyu Zhou (Knowl. Based Syst., 2025)

RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. - Sichu Liang; Linhai Zhang; Hongyu Zhu; Wenwen Wang; Yulan He 001; Deyu Zhou (CoRR, 2025)

CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation. - Zhenyi Shen; Hanqi Yan; Linhai Zhang; Zhanghao Hu; Yali Du 001; Yulan He 001 (CoRR, 2025)