Hongtao Liu

According to our database, Hongtao Liu authored at least 57 papers between 2018 and 2026.

Collaborative distances:

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

2026

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation?

Mingqiao Zhang, Qiyao Peng, Yumeng Wang, Chunyuan Liu, Hongtao Liu

CoRR, February, 2026

2025

FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation.

Qiyao Peng, Chen Wang, Yinghui Wang, Hongtao Liu, Xuan Guo, Wenjun Wang

CoRR, October, 2025

A Survey on LLM-powered Agents for Recommender Systems.

Qiyao Peng, Hongtao Liu, Hua Huang, Qing Yang, Minglai Shao

CoRR, February, 2025

PEPT: Expert Finding Meets Personalized Pre-Training.

Qiyao Peng, Hongyan Xu, Yinghui Wang, Hongtao Liu, Cuiying Huo, Wenjun Wang

ACM Trans. Inf. Syst., January, 2025

Beyond Fixed Length: Bucket Pre-training is All You Need.

Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender.

Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Survey on LLM-powered Agents for Recommender Systems.

Qiyao Peng, Hongtao Liu, Hua Huang, Jian Yang, Qing Yang, Minglai Shao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path.

Yongqiang Liu, Qiyao Peng, Binrong Liu, Hongtao Liu, XueWei Li, Wenjun Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching.

Hongyan Xu, Qiyao Peng, Hongtao Liu, Yueheng Sun, Wenjun Wang

ACM Trans. Inf. Syst., January, 2024

Deep expertise and interest personalized transformer for expert finding.

Yinghui Wang, Qiyao Peng, Hongtao Liu, Hongyan Xu, Minglai Shao, Wenjun Wang

Inf. Process. Manag., 2024

ULMRec: User-centric Large Language Model for Sequential Recommendation.

Minglai Shao, Hua Huang, Qiyao Peng, Hongtao Liu

CoRR, 2024

Bucket Pre-training is All You Need.

Hongtao Liu, Qiyao Peng, Qing Yang, Kai Liu, Hongyan Xu

CoRR, 2024

Review-LLM: Harnessing Large Language Models for Personalized Review Generation.

Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang

CoRR, 2024

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.

Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

CoRR, 2024

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.

Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Collaborative Expert Finding with Contrastive Learning.

Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao

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

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding.

Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.

Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Extending Context Window of Large Language Models from a Distributional Perspective.

Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing Large Language Model Attribution through Self-Improving.

Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

PEPT: Expert Finding Meets Personalized Pre-training.

Qiyao Peng, Hongtao Liu, Hongyan Xu, Yinghui Wang, Wenjun Wang

CoRR, 2023

Contrastive Pre-training for Personalized Expert Finding.

Qiyao Peng, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang

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

PUNR: Pre-training with User Behavior Modeling for News Recommendation.

Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu

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

Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning.

Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Pre-trained Personalized Review Summarization with Effective Salience Estimation.

Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang

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

2022

IISD: Integrated Interaction Subgraph Detection for event mining.

Yang Yu, Wenjun Wang, Nannan Wu, Hongtao Liu, Minglai Shao

Knowl. Based Syst., 2022

Network Alignment enhanced via modeling heterogeneity of anchor nodes.

Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan

Knowl. Based Syst., 2022

Towards comprehensive expert finding with a hierarchical matching network.

Qiyao Peng, Wenjun Wang, Hongtao Liu, Yinghui Wang, Hongyan Xu, Minglai Shao

Knowl. Based Syst., 2022

Adapted transformer network for news recommendation.

Jinsheng Huang, Zhuobing Han, Hongyan Xu, Hongtao Liu

Neurocomputing, 2022

Towards a Multi-View Attentive Matching for Personalized Expert Finding.

Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ExpertPLM: Pre-training Expert Representation for Expert Finding.

Qiyao Peng, Hongtao Liu

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

Towards Personalized Review Generation with Gated Multi-source Fusion Network.

Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun

Proceedings of the Database Systems for Advanced Applications, 2022

Expertise-Oriented Explainable Question Routing.

Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

ExpertBert: Pretraining Expert Finding.

Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng

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

Efficient Non-sampling Expert Finding.

Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng

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

2021

Toward Comprehensive User and Item Representations via Three-tier Attention Network.

Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao

ACM Trans. Inf. Syst., 2021

Rating-boosted abstractive review summarization with neural personalized generation.

Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang

Knowl. Based Syst., 2021

Transformer Reasoning Network for Personalized Review Summarization.

Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Neural Adversarial Review Summarization with Hierarchical Personalized Attention.

Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao

Proceedings of the Database Systems for Advanced Applications, 2021

Improving Recommender System via Personalized Reconstruction of Reviews.

Zunfu Huang, Bo Wang, Hongtao Liu, Qinxue Jiang, Naixue Xiong, Yuexian Hou

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

2020

Variational autoencoder based bipartite network embedding by integrating local and global structure.

Pengfei Jiao, Minghu Tang, Hongtao Liu, Yaping Wang, Chunyu Lu, Huaming Wu

Inf. Sci., 2020

Hybrid neural recommendation with joint deep representation learning of ratings and reviews.

Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao

Neurocomputing, 2020

Neural Unified Review Recommendation with Cross Attention.

Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Hierarchical Multi-view Attention for Neural Review-Based Recommendation.

Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks.

Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews.

Qiyao Peng, Hongtao Liu, Yang Yu, Hongyan Xu, Weidi Dai, Pengfei Jiao

Proceedings of the Database Systems for Advanced Applications, 2020

2019

NRPA: Neural Recommendation with Personalized Attention.

Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

SSNE: Status Signed Network Embedding.

Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

REKER: Relation Extraction with Knowledge of Entity and Relation.

Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie

Proceedings of the Natural Language Processing and Chinese Computing, 2019

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.

Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2019

NRSA: Neural Recommendation with Summary-Aware Attention.

Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao

Proceedings of the Knowledge Science, Engineering and Management, 2019

Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification.

Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.

Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie

Proceedings of the Database Systems for Advanced Applications, 2019

Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations.

Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang

Proceedings of the Database Systems for Advanced Applications, 2019

REKA: Relation Extraction with Knowledge-Aware Attention.

Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

2018

NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content.

Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun, Pengfei Jiao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Distant Supervision for Relation Extraction with Neural Instance Selector.

Yubo Chen, Hongtao Liu, Chuhan Wu, Zhigang Yuan, Minyu Jiang, Yongfeng Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2018