Entire Information Attentive GRU for Text Representation. - Guoxiu He; Wei Lu 019 (ICTIR, 2018)

Keyphrase Extraction Based on Prior Knowledge. - Guoxiu He; Junwei Fang; Haoran Cui; Chuan Wu 003; Wei Lu 019 (JCDL, 2018)

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation. - Zhuoren Jiang; Zhe Gao; Guoxiu He; Yangyang Kang; Changlong Sun; Qiong Zhang; Luo Si; Xiaozhong Liu (EMNLP/IJCNLP (1), 2019)

Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model. - Guoxiu He; Yangyang Kang; Zhe Gao; Zhuoren Jiang; Changlong Sun; Xiaozhong Liu; Wei Lu 019; Qiong Zhang; Luo Si (SIGIR, 2019)

Implicit Products in the Decentralized eCommerce Ecosystems. - Guoxiu He; Yunhan Yang; Zhuoren Jiang; Yangyang Kang; Xiaozhong Liu; Wei Lu 019 (JCDL, 2020)

Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise. - Guoxiu He; Zhe Gao; Zhuoren Jiang; Yangyang Kang; Changlong Sun; Xiaozhong Liu; Wei Lu 019 (SIGIR, 2020)

Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention. - Guoxiu He; Yangyang Kang; Zhuoren Jiang; Jiawei Liu 002; Changlong Sun; Xiaozhong Liu; Wei Lu 019 (SIGIR, 2020)

Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model. - Guoxiu He; Zhe Gao; Zhuoren Jiang; Yangyang Kang; Changlong Sun; Xiaozhong Liu; Wei Lu 019 (CoRR, 2020)

Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. - Jiawei Liu 002; Zhe Gao; Yangyang Kang; Zhuoren Jiang; Guoxiu He; Changlong Sun; Xiaozhong Liu; Wei Lu 019 (AAAI, 2021)

Modularized Interaction Network for Named Entity Recognition. - Fei Li; Zheng Wang 046; Siu Cheung Hui; Lejian Liao; Dandan Song; Jing Xu; Guoxiu He; Meihuizi Jia (ACL/IJCNLP (1), 2021)

A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis. - Jiawei Liu 002; Kaisong Song; Yangyang Kang; Guoxiu He; Zhuoren Jiang; Changlong Sun; Wei Lu 019; Xiaozhong Liu (EMNLP (1), 2021)

H2CGL: Modeling Dynamics of Citation Network for Impact Prediction. - Guoxiu He; Zhikai Xue; Zhuoren Jiang; Yangyang Kang; Star Zhao; Wei Lu 019 (CoRR, 2023)

Research Explosion: More Effort to Climb onto Shoulders of the Giant. - Guoxiu He; Aixin Sun; Wei Lu (CoRR, 2023)

Disentangling the Potential Impacts of Papers into Diffusion, Conformity, and Contribution Values. - Zhikai Xue; Guoxiu He; Zhuoren Jiang; Yangyang Kang; Star Zhao; Wei Lu 019 (CoRR, 2023)

Re-examining lexical and semantic attention: Dual-view graph convolutions enhanced BERT for academic paper rating. - Zhikai Xue; Guoxiu He; Jiawei Liu 002; Zhuoren Jiang; Star Zhao; Wei Lu 019 (Inf. Process. Manag., 2023)

COVID-19: a disruptive impact on the knowledge support of references. - Yujie Zhang; Hongzhen Li; Jingyi Mao; Guoxiu He; Yunhan Yang; Zhuoren Jiang; Yufeng Duan (Scientometrics, 2023)

H2CGL: Modeling dynamics of citation network for impact prediction. - Guoxiu He; Zhikai Xue; Zhuoren Jiang; Yangyang Kang; Star Zhao; Wei Lu 019 (Inf. Process. Manag., 2023)

Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement. - Zhikai Xue; Guoxiu He; Zhuoren Jiang; Sichen Gu; Yangyang Kang; Star Zhao; Wei Lu 019 (CIKM, 2024)

How to Measure Information Cocoon in Academic Environment. - Jia Yuan; Guoxiu He; Yunhan Yang (EEKE/AII@iConference, 2024)

Recurrent Alignment with Hard Attention for Hierarchical Text Rating. - Chenxi Lin; Jiayu Ren; Guoxiu He; Zhuoren Jiang; Haiyan Yu; Xiaomin Zhu (EMNLP, 2024)

Divide and Conquer: Prompting Large Language Models to Identify Personalities in Long Social Posts via Chunked Voting. - Jiayu Ren; Chenxi Lin; Guoxiu He (JCDL, 2024)

Silent LLMs: Using LoRA to Enable LLMs to Identify Hate Speech. - Yuzhang Wang; Peizhou Yu; Guoxiu He (JCDL, 2024)

Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias. - Lulu Dong; Guoxiu He; Aixin Sun (RecSys, 2024)

Tree-Based Hard Attention with Self-Motivation for Large Language Models. - Chenxi Lin; Jiayu Ren; Guoxiu He; Zhuoren Jiang; Haiyan Yu; Xiaomin Zhu (CoRR, 2024)

Text Clustering as Classification with LLMs. - Chen Huang 007; Guoxiu He (CoRR, 2024)

Predicting the emergence of disruptive technologies by comparing with references via soft prompt-aware shared BERT. - Guoxiu He; Chenxi Lin; Jiayu Ren; Peichen Duan (J. Informetrics, 2024)

Interweaving Memories of a Siamese Large Language Model. - Xin Song; Zhikai Xue; Guoxiu He; Jiawei Liu 002; Wei Lu 019 (AAAI, 2025)

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models. - Boheng Sheng; Jiacheng Yao; Meicong Zhang; Guoxiu He (ACL (1), 2025)

Few-shot medical relation extraction via prompt tuning enhanced pre-trained language model. - Guoxiu He; Chen Huang 007 (Neurocomputing, 2025)

Sequential citation counts prediction enhanced by dynamic contents. - Guoxiu He; Sichen Gu; Zhikai Xue; Yufeng Duan; Xiaomin Zhu (J. Informetrics, 2025)

Metacognitive symbolic distillation framework for multi-choice machine reading comprehension. - Jiacheng Yao; Xin Xu; Guoxiu He (Knowl. Based Syst., 2025)

Knowledge Updating? No More Model Editing! Just Selective Contextual Reasoning. - Guoxiu He; Xin Song; Aixin Sun (CoRR, 2025)

Measuring academic cocoon from disparity and diversity perspectives. - Guoxiu He; Jia Yuan; Yunhan Yang (Scientometrics, 2025)

Benchmarking and Rethinking Knowledge Editing for Large Language Models. - Guoxiu He; Xin Song; Futing Wang; Aixin Sun (CoRR, 2025)

Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation. - Jiahao Cheng; Tiancheng Su; Jia Yuan; Guoxiu He; Jiawei Liu; Xinqi Tao; Jingwen Xie; Huaxia Li (CoRR, 2025)

Enhancing belief consistency of large language model agents in decision-making process based on attribution theory. - Guoxiu He; Meicong Zhang; Tiancheng Su; Li Ma; Xiaomin Zhu (Expert Syst. Appl., 2026)