| 2026 | ACL | Modeling and Solving Stable Matching under Probabilistic Preferences with Large Language Models. | Yuqi Kong, Shiyu Liu, Jiaxu Li, Hongtao Liu, Qi Qi, Weiran Shen |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | A Survey on LLM-powered Agents for Recommender Systems. | Qiyao Peng, Hongtao Liu, Hua Huang, Jian Yang, Qing Yang, Minglai Shao |
| 2025 | FAW | Optimal Hiring Strategy in Auction-Based Crowdsourcing Systems. | Hongtao Liu, Weiran Shen, Yiheng Shen |
| 2025 | IJCAI | HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender. | Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu |
| 2025 | IJCAI | Beyond Fixed Length: Bucket Pre-training is All You Need. | Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu |
| 2025 | WSDM | Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions. | Hongtao Liu, Luxi Chen, Yiming Ding, Changcheng Li, Han Li, Peng Jiang, Weiran Shen |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent. | Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Qi Qi, Weiran Shen, Yankai Lin |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | IJCAI | Graph Collaborative Expert Finding with Contrastive Learning. | Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao |
| 2023 | ACL | Pre-trained Personalized Review Summarization with Effective Salience Estimation. | Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang |
| 2023 | CIKM | Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. | Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang |
| 2023 | EMNLP | PUNR: Pre-training with User Behavior Modeling for News Recommendation. | Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu |
| 2023 | EMNLP | Contrastive Pre-training for Personalized Expert Finding. | Qiyao Peng, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang |
| 2023 | ICLR | Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models. | Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li |
| 2023 | IECON | Monitoring IGBT Module Bond Wire Fatigue Use Turn-Off Time. | Hongtao Liu, Fei Wang, Shen Chaoyue, Weiyi Xia |
| 2022 | CIKM | Efficient Non-sampling Expert Finding. | Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng |
| 2022 | CIKM | ExpertBert: Pretraining Expert Finding. | Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng |
| 2022 | DASFAA | Towards Personalized Review Generation with Gated Multi-source Fusion Network. | Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun |
| 2022 | EMNLP | ExpertPLM: Pre-training Expert Representation for Expert Finding. | Qiyao Peng, Hongtao Liu |
| 2022 | WWW | Towards a Multi-View Attentive Matching for Personalized Expert Finding. | Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang |
| 2021 | DASFAA | Neural Adversarial Review Summarization with Hierarchical Personalized Attention. | Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao |
| 2021 | SIGIR | Transformer Reasoning Network for Personalized Review Summarization. | Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang |
| 2020 | DASFAA | Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews. | Qiyao Peng, Hongtao Liu, Yang Yu, Hongyan Xu, Weidi Dai, Pengfei Jiao |
| 2020 | ICONIP | Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. | Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao |
| 2020 | SIGIR | Neural Unified Review Recommendation with Cross Attention. | Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao |
| 2019 | DASFAA | Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. | Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang |
| 2019 | DASFAA | Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. | Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie |
| 2019 | ICANN | Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. | Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao |
| 2019 | KSEM | NRSA: Neural Recommendation with Summary-Aware Attention. | Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao |
| 2019 | PAKDD | SSNE: Status Signed Network Embedding. | Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang |
| 2019 | SIGIR | NRPA: Neural Recommendation with Personalized Attention. | Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie |
| 2018 | PAKDD | 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 |
| 2017 | HCI | An Analysis and Evaluation Procedure in Civil Aircraft Flight Deck Design. | Dayong Dong, Baofeng Li, Haiyan Liu, Wenjun Dong, Hongtao Liu, Zhefeng Jin |
| 2017 | PDCAT | An Exact Algorithm for the Biobjective 0-1 Linear Knapsack Problem with a Single Continuous Variable. | Hongtao Liu |
| 2007 | ISCAS | ECG Cancellation for Surface Electromyography Measurement Using Independent Component Analysis. | Yong Hu, Joseph N. Mak, Hongtao Liu, Keith D. K. Luk |
| 2005 | ISNN | Inelastic Simulation of Insect Cuticle Using Artificial Neural Network. | Bin Chen, Gang Chen, Hongtao Liu, Xianghe Peng, Jinghong Fan |