Distant Supervision for Relation Extraction with Neural Instance Selector. - Yubo Chen 002; Hongtao Liu 008; Chuhan Wu; Zhigang Yuan; Minyu Jiang; Yongfeng Huang 001 (NLPCC (1), 2018)

NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content. - Hongyan Xu 001; Hongtao Liu 008; Wenjun Wang 002; Yueheng Sun; Pengfei Jiao (PAKDD (2), 2018)

REKA: Relation Extraction with Knowledge-Aware Attention. - Peiyi Wang; Hongtao Liu 008; Fangzhao Wu; Jinduo Song; Hongyan Xu 001; Wenjun Wang 002 (CCKS, 2019)

Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. - Yaping Wang; Pengfei Jiao; Wenjun Wang 002; Chunyu Lu; Hongtao Liu 008; Bo Wang 011 (DASFAA (1), 2019)

Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. - Xianchen Wang; Hongtao Liu 008; Peiyi Wang; Fangzhao Wu; Hongyan Xu 001; Wenjun Wang 002; Xing Xie 001 (DASFAA (3), 2019)

Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. - Yueheng Sun; Xianchen Wang; Hongtao Liu 008; Wenjun Wang 002; Pengfei Jiao (ICANN (4), 2019)

NRSA: Neural Recommendation with Summary-Aware Attention. - Qiyao Peng 001; Peiyi Wang; Wenjun Wang 002; Hongtao Liu 008; Yueheng Sun; Pengfei Jiao (KSEM (1), 2019)

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. - Hongtao Liu 008; Peiyi Wang; Fangzhao Wu; Pengfei Jiao; Wenjun Wang 002; Xing Xie 001; Yueheng Sun (NLPCC (1), 2019)

REKER: Relation Extraction with Knowledge of Entity and Relation. - Hongtao Liu 008; Yian Wang 002; Fangzhao Wu; Pengfei Jiao; Hongyan Xu 001; Xing Xie 001 (NLPCC (2), 2019)

SSNE: Status Signed Network Embedding. - Chunyu Lu; Pengfei Jiao; Hongtao Liu 008; Yaping Wang; Hongyan Xu 001; Wenjun Wang 002 (PAKDD (3), 2019)

NRPA: Neural Recommendation with Personalized Attention. - Hongtao Liu 008; Fangzhao Wu; Wenjun Wang 002; Xianchen Wang; Pengfei Jiao; Chuhan Wu; Xing Xie 001 (SIGIR, 2019)

Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews. - Qiyao Peng 001; Hongtao Liu 008; Yang Yu 030; Hongyan Xu 001; Weidi Dai; Pengfei Jiao (DASFAA (3), 2020)

Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. - Hongyan Xu 001; Wenjun Wang 002; Hongtao Liu 008; Mengxuan Zhang 005; Qiang Tian; Pengfei Jiao (ICONIP (2), 2020)

Hierarchical Multi-view Attention for Neural Review-Based Recommendation. - Hongtao Liu 008; Wenjun Wang 002; Huitong Chen; Wang Zhang 001; Qiyao Peng 001; Lin Pan 002; Pengfei Jiao (NLPCC (2), 2020)

Neural Unified Review Recommendation with Cross Attention. - Hongtao Liu 008; Wenjun Wang 002; Hongyan Xu 001; Qiyao Peng 001; Pengfei Jiao (SIGIR, 2020)

Hybrid neural recommendation with joint deep representation learning of ratings and reviews. - Hongtao Liu 008; Yian Wang 002; Qiyao Peng 001; Fangzhao Wu; Lin Gan; Lin Pan 002; Pengfei Jiao (Neurocomputing, 2020)

Variational autoencoder based bipartite network embedding by integrating local and global structure. - Pengfei Jiao; Minghu Tang; Hongtao Liu 008; Yaping Wang; Chunyu Lu; Huaming Wu (Inf. Sci., 2020)

Improving Recommender System via Personalized Reconstruction of Reviews. - Zunfu Huang; Bo Wang 011; Hongtao Liu 008; Qinxue Jiang; Naixue Xiong; Yuexian Hou (CollaborateCom (1), 2021)

Neural Adversarial Review Summarization with Hierarchical Personalized Attention. - Hongyan Xu 001; Hongtao Liu 008; Wenjun Wang 002; Pengfei Jiao (DASFAA (2), 2021)

Transformer Reasoning Network for Personalized Review Summarization. - Hongyan Xu 001; Hongtao Liu 008; Pengfei Jiao; Wenjun Wang 002 (SIGIR, 2021)

Rating-boosted abstractive review summarization with neural personalized generation. - Hongyan Xu 001; Hongtao Liu 008; Wang Zhang 001; Pengfei Jiao; Wenjun Wang 002 (Knowl. Based Syst., 2021)

Toward Comprehensive User and Item Representations via Three-tier Attention Network. - Hongtao Liu 008; Wenjun Wang 002; Qiyao Peng 001; Nannan Wu; Fangzhao Wu; Pengfei Jiao (ACM Trans. Inf. Syst., 2021)

Efficient Non-sampling Expert Finding. - Hongtao Liu 008; Zhepeng Lv; Qing Yang 033; Dongliang Xu; Qiyao Peng 001 (CIKM, 2022)

ExpertBert: Pretraining Expert Finding. - Hongtao Liu 008; Zhepeng Lv; Qing Yang 033; Dongliang Xu; Qiyao Peng 001 (CIKM, 2022)

Expertise-Oriented Explainable Question Routing. - Yulu Li; Wenjun Wang 002; Qiyao Peng 001; Hongtao Liu 008; Minglai Shao 001; Pengfei Jiao (CollaborateCom (1), 2022)

Towards Personalized Review Generation with Gated Multi-source Fusion Network. - Hongtao Liu 008; Wenjun Wang 002; Hongyan Xu 001; Qiyao Peng 001; Pengfei Jiao; Yueheng Sun (DASFAA (3), 2022)

ExpertPLM: Pre-training Expert Representation for Expert Finding. - Qiyao Peng 001; Hongtao Liu 008 (EMNLP (Findings), 2022)

Towards a Multi-View Attentive Matching for Personalized Expert Finding. - Qiyao Peng 001; Hongtao Liu 008; Yinghui Wang 005; Hongyan Xu 001; Pengfei Jiao; Minglai Shao 001; Wenjun Wang 002 (WWW, 2022)

Adapted transformer network for news recommendation. - Jinsheng Huang; Zhuobing Han; Hongyan Xu 001; Hongtao Liu 008 (Neurocomputing, 2022)

Towards comprehensive expert finding with a hierarchical matching network. - Qiyao Peng 001; Wenjun Wang 002; Hongtao Liu 008; Yinghui Wang 005; Hongyan Xu 001; Minglai Shao 001 (Knowl. Based Syst., 2022)

Network Alignment enhanced via modeling heterogeneity of anchor nodes. - Yinghui Wang 005; Qiyao Peng 001; Wenjun Wang 002; Xuan Guo 005; Minglai Shao 001; Hongtao Liu 008; Wei Liang; Lin Pan 002 (Knowl. Based Syst., 2022)

IISD: Integrated Interaction Subgraph Detection for event mining. - Yang Yu 030; Wenjun Wang 002; Nannan Wu; Hongtao Liu 008; Minglai Shao 001 (Knowl. Based Syst., 2022)

Pre-trained Personalized Review Summarization with Effective Salience Estimation. - Hongyan Xu 001; Hongtao Liu 008; Zhepeng Lv; Qing Yang 033; Wenjun Wang 002 (ACL (Findings), 2023)

Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. - Hongyan Xu 001; Hongtao Liu 008; Zhepeng Lv; Qing Yang 033; Wenjun Wang 002 (CIKM, 2023)

PUNR: Pre-training with User Behavior Modeling for News Recommendation. - Guangyuan Ma; Hongtao Liu 008; Xing Wu 002; Wanhui Qian; Zhepeng Lv; Qing Yang 033; Songlin Hu 001 (EMNLP (Findings), 2023)

Contrastive Pre-training for Personalized Expert Finding. - Qiyao Peng 001; Hongtao Liu 008; Zhepeng Lv; Qing Yang 033; Wenjun Wang 002 (EMNLP (Findings), 2023)

PEPT: Expert Finding Meets Personalized Pre-training. - Qiyao Peng 001; Hongtao Liu 008; Hongyan Xu 001; Yinghui Wang 005; Wenjun Wang 002 (CoRR, 2023)

Advancing Large Language Model Attribution through Self-Improving. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Liang Zhao; Yuchun Fan; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu 008; Bing Qin 001 (EMNLP, 2024)

Extending Context Window of Large Language Models from a Distributional Perspective. - Yingsheng Wu; Yuxuan Gu 004; Xiaocheng Feng; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu 008; Bing Qin 001 (EMNLP, 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 001; Dongliang Xu; Qing Yang 033; Hongtao Liu 008; Bing Qin 001 (EMNLP, 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 033; Hongtao Liu 008; Bing Qin 001; Ting Liu 001 (EMNLP (Findings), 2024)

Graph Collaborative Expert Finding with Contrastive Learning. - Qiyao Peng 001; Wenjun Wang 002; Hongtao Liu 008; Cuiying Huo; Minglai Shao 001 (IJCAI, 2024)

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu 008; Yixin Cao 002 (NeurIPS, 2024)

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu 008; Yixin Cao 002 (CoRR, 2024)

Review-LLM: Harnessing Large Language Models for Personalized Review Generation. - Qiyao Peng 001; Hongtao Liu 008; Hongyan Xu 001; Qing Yang 033; Minglai Shao 001; Wenjun Wang 002 (CoRR, 2024)

Bucket Pre-training is All You Need. - Hongtao Liu 008; Qiyao Peng 001; Qing Yang 033; Kai Liu; Hongyan Xu 001 (CoRR, 2024)

ULMRec: User-centric Large Language Model for Sequential Recommendation. - Minglai Shao 001; Hua Huang; Qiyao Peng 001; Hongtao Liu 008 (CoRR, 2024)

Deep expertise and interest personalized transformer for expert finding. - Yinghui Wang 005; Qiyao Peng 001; Hongtao Liu 008; Hongyan Xu 001; Minglai Shao 001; Wenjun Wang 002 (Inf. Process. Manag., 2024)

Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching. - Hongyan Xu 001; Qiyao Peng 001; Hongtao Liu 008; Yueheng Sun; Wenjun Wang 002 (ACM Trans. Inf. Syst., 2024)

DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path. - Yongqiang Liu; Qiyao Peng 001; Binrong Liu; Hongtao Liu 008; XueWei Li; Wenjun Wang 002 (EMNLP (Findings), 2025)

A Survey on LLM-powered Agents for Recommender Systems. - Qiyao Peng 001; Hongtao Liu 008; Hua Huang; Jian Yang 030; Qing Yang 033; Minglai Shao 001 (EMNLP (Findings), 2025)

HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender. - Xiangfu He; Qiyao Peng 001; Minglai Shao 001; Hongtao Liu 008 (IJCAI, 2025)

Beyond Fixed Length: Bucket Pre-training is All You Need. - Qing Yang 033; Qiyao Peng 001; Hongtao Liu 008; Kai Liu; Bing Qin 001; Ting Liu 001 (IJCAI, 2025)

PEPT: Expert Finding Meets Personalized Pre-Training. - Qiyao Peng 001; Hongyan Xu 001; Yinghui Wang 005; Hongtao Liu 008; Cuiying Huo; Wenjun Wang 002 (ACM Trans. Inf. Syst., 2025)

A Survey on LLM-powered Agents for Recommender Systems. - Qiyao Peng 001; Hongtao Liu 008; Hua Huang; Qing Yang 033; Minglai Shao 001 (CoRR, 2025)

FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation. - Qiyao Peng 001; Chen Wang 161; Yinghui Wang 005; Hongtao Liu 008; Xuan Guo 005; Wenjun Wang 002 (CoRR, 2025)

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? - Mingqiao Zhang; Qiyao Peng 001; Yumeng Wang; Chunyuan Liu; Hongtao Liu 008 (CoRR, 2026)