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ORCIDHongtao Liu 0008
Person information
- affiliation: Tianjin University, Tianjin, China
Other persons with the same name
- Hongtao Liu — disambiguation page
- Hongtao Liu 0001
![[0000-0002-8268-0921]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8268-0921")
— Chongqing University of Posts and Telecommunications, Chongqing, China - Hongtao Liu 0002 — Maglev Research Institute, CRRC Changchun Railway Vehicles Company Ltd., Changchun, China
- Hongtao Liu 0003 — Weifang University, Weifang, China (and 1 more)
- Hongtao Liu 0004 — KU Leuven, Leuven, Belgium
- Hongtao Liu 0005 — State Grid Changzhou Power Supply Company, Changzhou, Jiangsu, China
- Hongtao Liu 0006 — Shanghai University, Shanghai, China
- Hongtao Liu 0007 — Renmin University of China, Beijing, China
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2020 – today
- 2025
[j11]Qiyao Peng, Hongyan Xu, Yinghui Wang, Hongtao Liu, Cuiying Huo, Wenjun Wang:
PEPT: Expert Finding Meets Personalized Pre-Training. ACM Trans. Inf. Syst. 43(1): 8:1-8:26 (2025)- [c34]Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu:
HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender. IJCAI 2025: 2883-2891 - [c33]Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu:
Beyond Fixed Length: Bucket Pre-training is All You Need. IJCAI 2025: 8331-8338 - [i13]Qiyao Peng, Hongtao Liu, Hua Huang, Qing Yang, Minglai Shao:
A Survey on LLM-powered Agents for Recommender Systems. CoRR abs/2502.10050 (2025) - [i12]Qiyao Peng, Chen Wang, Yinghui Wang, Hongtao Liu, Xuan Guo, Wenjun Wang:
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation. CoRR abs/2510.16597 (2025) - 2024
- [j10]Yinghui Wang, Qiyao Peng, Hongtao Liu, Hongyan Xu, Minglai Shao, Wenjun Wang:
Deep expertise and interest personalized transformer for expert finding. Inf. Process. Manag. 61(5): 103773 (2024) - [j9]Hongyan Xu, Qiyao Peng, Hongtao Liu, Yueheng Sun, Wenjun Wang:
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching. ACM Trans. Inf. Syst. 42(1): 3:1-3:27 (2024) - [c32]Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Advancing Large Language Model Attribution through Self-Improving. EMNLP 2024: 3822-3836 - [c31]Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. EMNLP 2024: 7288-7301 - [c30]Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu:
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. EMNLP (Findings) 2024: 9959-9977 - [c29]Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. EMNLP 2024: 10803-10821 - [c28]Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao:
Graph Collaborative Expert Finding with Contrastive Learning. IJCAI 2024: 2288-2296 - [c27]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. NeurIPS 2024 - [i11]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR abs/2403.09085 (2024) - [i10]Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang:
Review-LLM: Harnessing Large Language Models for Personalized Review Generation. CoRR abs/2407.07487 (2024) - [i9]Hongtao Liu, Qiyao Peng, Qing Yang, Kai Liu, Hongyan Xu:
Bucket Pre-training is All You Need. CoRR abs/2407.07495 (2024) - [i8]Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. CoRR abs/2410.01490 (2024) - [i7]Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. CoRR abs/2410.04087 (2024) - [i6]Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Advancing Large Language Model Attribution through Self-Improving. CoRR abs/2410.13298 (2024) - [i5]Minglai Shao, Hua Huang, Qiyao Peng, Hongtao Liu:
ULMRec: User-centric Large Language Model for Sequential Recommendation. CoRR abs/2412.05543 (2024) - 2023
- [c26]Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang:
Pre-trained Personalized Review Summarization with Effective Salience Estimation. ACL (Findings) 2023: 10743-10754 - [c25]Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang:
Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. CIKM 2023: 2826-2835 - [c24]Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu:
PUNR: Pre-training with User Behavior Modeling for News Recommendation. EMNLP (Findings) 2023: 8338-8347 - [c23]Qiyao Peng, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang:
Contrastive Pre-training for Personalized Expert Finding. EMNLP (Findings) 2023: 15797-15806 - [i4]Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu:
PUNR: Pre-training with User Behavior Modeling for News Recommendation. CoRR abs/2304.12633 (2023) - [i3]Qiyao Peng, Hongtao Liu, Hongyan Xu, Yinghui Wang, Wenjun Wang:
PEPT: Expert Finding Meets Personalized Pre-training. CoRR abs/2312.12162 (2023) - 2022
- [j8]Jinsheng Huang, Zhuobing Han, Hongyan Xu, Hongtao Liu:
Adapted transformer network for news recommendation. Neurocomputing 469: 119-129 (2022) - [j7]Yang Yu, Wenjun Wang, Nannan Wu, Hongtao Liu, Minglai Shao:
IISD: Integrated Interaction Subgraph Detection for event mining. Knowl. Based Syst. 240: 108080 (2022) - [j6]Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan:
Network Alignment enhanced via modeling heterogeneity of anchor nodes. Knowl. Based Syst. 250: 109116 (2022) - [j5]Qiyao Peng, Wenjun Wang, Hongtao Liu, Yinghui Wang, Hongyan Xu, Minglai Shao:
Towards comprehensive expert finding with a hierarchical matching network. Knowl. Based Syst. 257: 109933 (2022) - [c22]Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng:
Efficient Non-sampling Expert Finding. CIKM 2022: 4239-4243 - [c21]Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng:
ExpertBert: Pretraining Expert Finding. CIKM 2022: 4244-4248 - [c20]Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao:
Expertise-Oriented Explainable Question Routing. CollaborateCom (1) 2022: 41-57 - [c19]Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun:
Towards Personalized Review Generation with Gated Multi-source Fusion Network. DASFAA (3) 2022: 322-330 - [c18]Qiyao Peng, Hongtao Liu:
ExpertPLM: Pre-training Expert Representation for Expert Finding. EMNLP (Findings) 2022: 1043-1052 - [c17]Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang:
Towards a Multi-View Attentive Matching for Personalized Expert Finding. WWW 2022: 2131-2140 - 2021
- [j4]Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang:
Rating-boosted abstractive review summarization with neural personalized generation. Knowl. Based Syst. 218: 106858 (2021) - [j3]Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao:
Toward Comprehensive User and Item Representations via Three-tier Attention Network. ACM Trans. Inf. Syst. 39(3): 25:1-25:22 (2021) - [c16]Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao:
Neural Adversarial Review Summarization with Hierarchical Personalized Attention. DASFAA (2) 2021: 53-69 - [c15]Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang:
Transformer Reasoning Network for Personalized Review Summarization. SIGIR 2021: 1452-1461 - 2020
- [j2]Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao:
Hybrid neural recommendation with joint deep representation learning of ratings and reviews. Neurocomputing 374: 77-85 (2020) - [j1]Pengfei Jiao, Minghu Tang, Hongtao Liu, Yaping Wang, Chunyu Lu, Huaming Wu:
Variational autoencoder based bipartite network embedding by integrating local and global structure. Inf. Sci. 519: 9-21 (2020) - [c14]Qiyao Peng, Hongtao Liu, Yang Yu, Hongyan Xu, Weidi Dai, Pengfei Jiao:
Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews. DASFAA (3) 2020: 540-556 - [c13]Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao:
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. ICONIP (2) 2020: 499-511 - [c12]Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao:
Hierarchical Multi-view Attention for Neural Review-Based Recommendation. NLPCC (2) 2020: 267-278 - [c11]Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao:
Neural Unified Review Recommendation with Cross Attention. SIGIR 2020: 1789-1792
2010 – 2019
- 2019
- [c10]Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang:
REKA: Relation Extraction with Knowledge-Aware Attention. CCKS 2019: 62-73 - [c9]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. DASFAA (3) 2019: 363-367 - [c8]Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang:
Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. DASFAA (1) 2019: 435-451 - [c7]Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao:
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. ICANN (4) 2019: 143-155 - [c6]Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao:
NRSA: Neural Recommendation with Summary-Aware Attention. KSEM (1) 2019: 128-140 - [c5]Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie:
REKER: Relation Extraction with Knowledge of Entity and Relation. NLPCC (2) 2019: 90-102 - [c4]Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun:
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) 2019: 327-339 - [c3]Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang:
SSNE: Status Signed Network Embedding. PAKDD (3) 2019: 81-93 - [c2]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019: 1233-1236 - [i2]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. CoRR abs/1905.12480 (2019) - [i1]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. CoRR abs/1906.01511 (2019) - 2018
- [c1]Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun, Pengfei Jiao:
NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content. PAKDD (2) 2018: 260-271
Coauthor Index
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