| 2026 | AAAI | SGP4SR: Separated-Modality Guided User Preference Learning for Multimodal Sequential Recommendation. | Changhong Li, Zhiqiang Guo, Guohui Li, Zhong Yang, Chuhang Hong |
| 2025 | CIKM | StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning. | Yuanqing Yu, Zhefan Wang, Weizhi Ma, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang |
| 2025 | DASFAA | UGDA: A Unified Graph-Based Method with Domain-Specific Adaptation for Multi-Domain Recommendation. | Bin Ruan, Hao Liu, Yitian Tu, Zhiying Deng, Zhiqiang Guo, Jianjun Li |
| 2025 | EMNLP | How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison. | Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang |
| 2025 | WWW | Explainable Multi-Modality Alignment for Transferable Recommendation. | Shenghao Yang, Weizhi Ma, Zhiqiang Guo, Min Zhang, Haiyang Wu, Junjie Zhai, Chunhui Zhang, Yuekui Yang |
| 2025 | WWW | PerSRV: Personalized Sticker Retrieval with Vision-Language Model. | Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang |
| 2025 | SIGIR | U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization. | Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, Min Zhang |
| 2025 | SIGIR | Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. | Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou |
| 2024 | AAAI | LGMRec: Local and Global Graph Learning for Multimodal Recommendation. | Zhiqiang Guo, Jianjun Li, Guohui Li, Chaoyang Wang, Si Shi, Bin Ruan |
| 2024 | SDM | DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation. | Zhiqiang Guo, Guohui Li, Jianjun Li, Chaoyang Wang, Si Shi |
| 2023 | CIKM | Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation. | Qian Chen, Jianjun Li, Zhiqiang Guo, Guohui Li, Zhiying Deng |
| 2023 | ICASSP | Multi-Aspect Interest Neighbor-Augmented Network for Next-Basket Recommendation. | Zhiying Deng, Jianjun Li, Zhiqiang Guo, Guohui Li |
| 2023 | ICASSP | The Ustc System for Adress-m Challenge. | Kangdi Mei, Xinyun Ding, Yinlong Liu, Zhiqiang Guo, Feiyang Xu, Xin Li, Tuya Naren, Jiahong Yuan, Zhenhua Ling |
| 2023 | IJCNN | Cross Domain Deep Collaborative Filtering without Overlapping Data. | Meng Liu, Jianjun Li, GuoHui Li, Zhiqiang Guo, Chaoyang Wang, Peng Pan |
| 2023 | SIGIR | Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation. | Qian Chen, Zhiqiang Guo, Jianjun Li, Guohui Li |
| 2023 | SIGIR | Multi-view Multi-aspect Neural Networks for Next-basket Recommendation. | Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li |
| 2022 | CIKM | MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies. | Guohui Li, Zhiqiang Guo, Jianjun Li, Chaoyang Wang |
| 2022 | DASFAA | Joint Locality Preservation and Adaptive Combination for Graph Collaborative Filtering. | Zhiqiang Guo, Chaoyang Wang, Zhi Li, Jianjun Li, Guohui Li |
| 2022 | ICASSP | Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models. | Lu Dong, Zhiqiang Guo, Chao-Hong Tan, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling |
| 2022 | ICASSP | Dementia Detection by Fusing Speech and Eye-Tracking Representation. | Zhengyan Sheng, Zhiqiang Guo, Xin Li, Yunxia Li, Zhenhua Ling |
| 2021 | DASFAA | DiCGAN: A Dilated Convolutional Generative Adversarial Network for Recommender Systems. | Zhiqiang Guo, Chaoyang Wang, Jianjun Li, Guohui Li, Peng Pan |
| 2021 | ICASSP | Detecting Alzheimer's Disease from Speech Using Neural Networks with Bottleneck Features and Data Augmentation. | Zhaoci Liu, Zhiqiang Guo, Zhenhua Ling, Yunxia Li |
| 2020 | COLING | Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer's Disease Detection. | Zhiqiang Guo, Zhaoci Liu, Zhenhua Ling, Shijin Wang, Lingjing Jin, Yunxia Li |
| 2020 | DASFAA | DDFL: A Deep Dual Function Learning-Based Model for Recommender Systems. | Syed Tauhid Ullah Shah, Jianjun Li, Zhiqiang Guo, Guohui Li, Quan Zhou |
| 2020 | ECAI | A Text-Based Deep Reinforcement Learning Framework for Interactive Recommendation. | Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Peng Pan, Guohui Li |
| 2020 | ISVC | A Modified Syn2Real Network for Nighttime Rainy Image Restoration. | Qunfang Tang, Jie Yang, Haibo Liu, Zhiqiang Guo |
| 2018 | IPCCC | How to Set Timeout: Achieving Adaptive Load Balance in Asymmetric Topology Based on Flowlet Switching. | Zhiqiang Guo, Xiaodong Dong, Sheng Chen, Xiaobo Zhou, Keqiu Li |