| 2026 | AAAI | Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning. | Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai |
| 2026 | DASFAA | Mitigating Negative Transfer in Cross-Domain Sequential Recommendation: Collaborative Memory and Gradient-Feedback Reweighting. | Shitong Xiao, Rui Chen, Hongtao Song, Qilong Han, Longyu Xia |
| 2025 | AAAI | From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking. | Yuhan Zhao, Rui Chen, Li Chen, Shuang Zhang, Qilong Han, Hongtao Song |
| 2025 | APWEB | Improving Continual Relation Extraction via Parameter Regularization and Dynamic Memory. | Lijie Li, Rui Xue, Xiaodi Xu, Ye Wang, Qilong Han |
| 2025 | CIKM | PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations. | Yantong Du, Rui Chen, Xiangyu Zhao, Qilong Han, A. K. Qin |
| 2025 | ICASSP | Instantaneous Trajectory Prediction via Latent Bidirectional Cooperative Diffusion. | Kun Ma, Qilong Han, Jingzheng Yao, Changmao Wu, Chunrui Na |
| 2025 | ICASSP | DDA: Distillation-Driven Acceleration of the Reverse Diffusion Process for Stochastic Multi-Ship Trajectory Prediction. | Kun Ma, Qilong Han, Jingzheng Yao, Changmao Wu, Yuntao Zhang |
| 2025 | IJCNN | A Hybrid Model of Bidirectional GRU and Graph Neural Network for Multivariate Temporal Data Interpolation. | Hongtao Song, Siao Li, Qilong Han |
| 2025 | IJCNN | Unveiling Hidden Gems: Enhancing Entity Resolution with a Data Perspective. | Hongtao Song, Shuang Zhang, Yuhan Zhao, Qilong Han |
| 2025 | ISCAS | MCG-STNet: Multi-level Cross-view Graph Convolution Networks for Spatio-Temporal Forecasting. | Hexiang Liu, Qilong Han, Jingyu Sheng, Dan Lu, Min Zheng, Hui Sun |
| 2025 | KDD | DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation. | Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen |
| 2024 | AAAI | Adaptive Hardness Negative Sampling for Collaborative Filtering. | Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen |
| 2024 | DASFAA | Independent Embedding-Based Relational Enhancement Model for Hyper-Relational Knowledge Graph. | Qilong Han, Jiahang Li, Dan Lu, Lijie Li, Bingyi Xie |
| 2024 | DASFAA | Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. | Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu |
| 2024 | ESORICS | DPC: Filtering Out Patch-Based Poisoned Samples with Differential Privacy. | Yukun Yan, Peng Tang, Rui Chen, Qilong Han, Ruochen Du |
| 2024 | ICDE | SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. | Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song |
| 2024 | IJCNN | DM-BDD: Real-time Vessel Trajectory Prediction Based on Diffusion Probability Model Balancing Diversity and Determinacy. | Kun Ma, Qilong Han, Jingzheng Yao, Yuntao Zhang |
| 2024 | RecSys | Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data. | Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen |
| 2023 | APWEB | PV-PATE: An Improved PATE for Deep Learning with Differential Privacy in Trusted Industrial Data Matrix. | Hongyu Hu, Qilong Han, Zhiqiang Ma, Yukun Yan, Zuobin Xiong, Linyu Jiang, Yuemin Zhang |
| 2023 | DASFAA | Towards Defending Against Byzantine LDP Amplified Gain Attacks. | Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang |
| 2023 | GPC | Review of Deep Learning-Based Entity Alignment Methods. | Dan Lu, Guoyu Han, Yingnan Zhao, Qilong Han |
| 2023 | GPC | Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis. | Dan Lu, Siao Li, Yingnan Zhao, Qilong Han |
| 2023 | ICANN | Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation. | Haitao Zhang, Xinran Liu, Qilong Han, Dan Lu |
| 2023 | ICONIP | FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting. | Rui Chen, Wei Cui, Haitao Zhang, Qilong Han |
| 2023 | ICONIP | DAGAN: Generative Adversarial Network with Dual Attention-Enhanced GRU for Multivariate Time Series Imputation. | Hongtao Song, Xiangran Fang, Dan Lu, Qilong Han |
| 2023 | ICONIP | SRLI: Handling Irregular Time Series with a Novel Self-supervised Model Based on Contrastive Learning. | Haitao Zhang, Xujie Zhang, Qilong Han, Dan Lu |
| 2023 | IJCNN | HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. | Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang |
| 2023 | IJCNN | Fair_FM: An Improved Functional Mechanism to Provide Better Privacy Protection and Fairness Guarantee. | Zuotian Han, Yukun Yan, Qilong Han |
| 2023 | IJCNN | Proxy-Aware Cross-Domain Sequential Recommendation. | Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li |
| 2023 | IJCNN | PFED-AGG: A Personalized Private Federated Learning Aggregation Algorithm. | Yongjie Zhu, Yukun Yan, Qilong Han |
| 2023 | RecSys | Augmented Negative Sampling for Collaborative Filtering. | Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen |
| 2023 | WWW | Denoising and Prompt-Tuning for Multi-Behavior Recommendation. | Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li |
| 2023 | WSDM | Disentangled Negative Sampling for Collaborative Filtering. | Riwei Lai, Li Chen, Yuhan Zhao, Rui Chen, Qilong Han |
| 2022 | CIKM | Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. | Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li |
| 2022 | IJCNN | MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction. | Dan Lu, Rui Chen, Shanshan Sui, Qilong Han, Linglong Kong, Yichen Wang |
| 2022 | SIGIR | Multi-Faceted Global Item Relation Learning for Session-Based Recommendation. | Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song, Li Li |
| 2021 | APWEB | Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. | Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge |
| 2021 | IJCAI | Fine-Grained Air Quality Inference via Multi-Channel Attention Model. | Qilong Han, Dan Lu, Rui Chen |
| 2020 | Interspeech | WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition. | Guang Shen, Riwei Lai, Rui Chen, Yu Zhang, Kejia Zhang, Qilong Han, Hongtao Song |
| 2019 | ICDM | Privacy-Preserving Auto-Driving: A GAN-Based Approach to Protect Vehicular Camera Data. | Zuobin Xiong, Wei Li, Qilong Han, Zhipeng Cai |
| 2016 | BIBE | Simple and Robust Ideal Mid-Sagittal Line (iML) Extraction Method for Brain CT Images. | Wenbo Li, Haiwei Pan, Xiaoqin Xie, Zhiqiang Zhang, Qilong Han |
| 2015 | COCOA | Metric and Distributed On-Line Algorithm for Minimizing Routing Interference in Wireless Sensor Networks. | Kejia Zhang, Qilong Han, Zhipeng Cai, Guisheng Yin, Junyu Lin |
| 2014 | ICNC | Symmetry theory based classification algorithm in CT image database. | Jing-Shi Rong, Haiwei Pan, Linlin Gao, Qilong Han, Xiaoning Feng |
| 2013 | IDEAL | Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning. | Lihong Chen, Hongbin Dong, Qilong Han, Guangzhe Cui |
| 2012 | ADMA | Medical Image Retrieval Method Based on Relevance Feedback. | Rui Wang, Haiwei Pan, Qilong Han, Jingzi Gu, Pengyuan Li |
| 2012 | ICA3PP | Study on the Data Flow Balance in NFS Server with iSCSI. | Nianmin Yao, Yong Han, Shaobin Cai, Qilong Han |
| 2008 | ISKE | Association rule mining with domain knowledge constraint. | Haiwei Pan, Qilong Han, Guisheng Yin, Wei Zhang, Jianzhong Li |
| 2007 | ADMA | A Similarity Retrieval Method in Brain Image Sequence Database. | Haiwei Pan, Qilong Han, Xiaoqin Xie, Wei Zhang, Jianzhong Li |