| 2026 | AAAI | On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models. | Ding Cao, Yuchen Cai, Yuqing Huang, Xuesong He, Rongxi Guo, Guiquan Liu, Guangzhong Sun |
| 2025 | EMNLP | SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment. | Yuqing Huang, Rongyang Zhang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Xuyang Zhi, Guiquan Liu, Xin Li, Hao Wang, Enhong Chen |
| 2023 | SEKE | ASMix: An Attention-based Smooth Data Augmentation Approach. | Rongxi Guo, Wanrong Jiang, Xi Zhao, Ding Cao, Guiquan Liu |
| 2022 | COLING | Exploring Label Hierarchy in a Generative Way for Hierarchical Text Classification. | Wei Huang, Chen Liu, Bo Xiao, Yihua Zhao, Zhaoming Pan, Zhimin Zhang, Xinyun Yang, Guiquan Liu |
| 2021 | AAAI | LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding. | Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li |
| 2021 | ICONIP | Spatio-Temporal Dynamic Multi-graph Attention Network for Ride-Hailing Demand Prediction. | Ya Chen, Wanrong Jiang, Hao Fu, Guiquan Liu |
| 2021 | ICONIP | TextCut: A Multi-region Replacement Data Augmentation Approach for Text Imbalance Classification. | Wanrong Jiang, Ya Chen, Hao Fu, Guiquan Liu |
| 2021 | PAKDD | Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-Hailing Demand Forecasting. | Hao Fu, Zhong Wang, Yang Yu, Xianwei Meng, Guiquan Liu |
| 2021 | RecSys | Denoising User-aware Memory Network for Recommendation. | Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li |
| 2020 | AAAI | Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. | Tianxiang Zhao, Lemao Liu, Guoping Huang, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi |
| 2020 | APWEB | Author Contributed Representation for Scholarly Network. | Binglei Wang, Tong Xu, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen |
| 2020 | IJCNN | Seismic Event Detection via Deep Multi-Task Learning. | Yang Yu, Lei Zhang, Jiakai Shen, Qingcai Wang, Guiquan Liu |
| 2018 | AAAI | Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. | Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu |
| 2018 | ICDM | Zero-Shot Learning: An Energy Based Approach. | Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen |
| 2018 | KSEM | Understand and Assess People's Procrastination by Mining Computer Usage Log. | Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li |
| 2018 | KSEM | Identification of Seismic Wave First Arrivals from Earthquake Records via Deep Learning. | Yang Yu, Jianfeng Lin, Lei Zhang, Guiquan Liu, Jing Hu, Yuyang Tan, Haijiang Zhang |
| 2017 | APWEB | Incorporating User Preferences Across Multiple Topics into Collaborative Filtering for Personalized Merchant Recommendation. | Yunfeng Chen, Lei Zhang, Xin Li, Yu Zong, Guiquan Liu, Enhong Chen |
| 2017 | DASFAA | Social User Profiling: A Social-Aware Topic Modeling Perspective. | Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen |
| 2017 | KSEM | Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels. | Weijieying Ren, Lei Zhang, Bo Jiang, Zhefeng Wang, Guangming Guo, Guiquan Liu |
| 2016 | DASFAA | Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation. | Yan Chen, Xin Li, Lin Li, Guiquan Liu, Guandong Xu |
| 2016 | KSEM | CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation. | Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu |
| 2014 | ICPR | Discriminative Representative Selection via Structure Sparsity. | Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu |
| 2012 | CIS | Analyzing Sequence Data Based on Conditional Random Fields with Co-training. | Leilei Yang, Guiquan Liu, Qi Liu, Lei Zhang, Enhong Chen |
| 2012 | ICPR | Multi-view learning with batch mode active selection for image retrieval. | Wenhui Yang, Guiquan Liu, Lei Zhang, Enhong Chen |
| 2012 | KDD | Harnessing the wisdom of the crowds for accurate web page clipping. | Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu |
| 2012 | PDCAT | Storage Device Performance Prediction with Hybrid Regression Models. | Chengjun Dai, Guiquan Liu, Lei Zhang, Enhong Chen |
| 2010 | NPC | Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping. | Xuechen Zhang, Guiquan Liu, Song Jiang |
| 2010 | NPC | Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. | Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen |
| 2009 | GECCO | HS-Model: a hierarchical statistical subtree-generating model for genetic programming. | Lingyun Wen, Guiquan Liu, Yinghai Zhao |
| 1999 | IJCAI | A Logic of Intention. | Xiaoping Chen, Guiquan Liu |