| 2026 | AAAI | Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning. | Bin Hu, Jingling Yuan, Jiawei Jiang, Chuang Hu |
| 2026 | AAAI | Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets. | Suxin Tong, Jingling Yuan |
| 2026 | KDD | Heaven-Sent or Hell-Bent? Benchmarking the Intelligence and Defectiveness of LLM Hallucinations. | Chengxu Yang, Jingling Yuan, Siqi Cai, Jiawei Jiang, Chuang Hu |
| 2026 | WWW | Hyena Operator for Fast Sequential Recommendation. | Jiahao Liu, Lin Li, Zhiyuan Li, Kaixi Hu, Kaize Shi, Jingling Yuan |
| 2026 | SIGIR | Chunk-Wise Quantization for Graph Collaborative Filtering. | Kaixi Hu, Peipei Wang, Kaize Shi, Jingling Yuan, Yu Yang, Guandong Xu, Lin Li |
| 2025 | AAAI | Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows. | Suxin Tong, Jingling Yuan |
| 2025 | AAAI | Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles. | Xin Zhang, Peiliang Zhang, Jingling Yuan, Lin Li |
| 2025 | ICASSP | Synergistic Integration of Cross-Spatial Learning for Lightweight Crack Detection. | Senyao Li, Jingling Yuan, Huilin Zhu, Xian Zhong |
| 2025 | ICCV | Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels. | Yujia Tong, Yuze Wang, Jingling Yuan, Chuang Hu |
| 2025 | IJCAI | Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric. | Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng |
| 2025 | IJCAI | Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning. | Peiliang Zhang, Jingling Yuan, Chao Che, Yongjun Zhu, Lin Li |
| 2024 | DASFAA | Key Substructure Learning with Chemical Intuition for Material Property Prediction. | Peiliang Zhang, Jingling Yuan, Lin Li, Wen Luo, Jiwei Hu, Xin Li |
| 2024 | ECCV | Zero-Shot Object Counting with Good Exemplars. | Huilin Zhu, Jingling Yuan, Zhengwei Yang, Yu Guo, Zheng Wang, Xian Zhong, Shengfeng He |
| 2024 | ISCC | Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading. | Shifeng Peng, Xuefeng Hou, Zhishu Shen, Qiushi Zheng, Jiong Jin, Atsushi Tagami, Jingling Yuan |
| 2024 | SIGIR | Amazon-KG: A Knowledge Graph Enhanced Cross-Domain Recommendation Dataset. | Yuhan Wang, Qing Xie, Mengzi Tang, Lin Li, Jingling Yuan, Yongjian Liu |
| 2023 | AAAI | Long Legal Article Question Answering via Cascaded Key Segment Learning (Student Abstract). | Shugui Xie, Lin Li, Jingling Yuan, Qing Xie, Xiaohui Tao |
| 2023 | DASFAA | Hyperbolic Mutual Learning for Bundle Recommendation. | Haole Ke, Lin Li, Peipei Wang, Jingling Yuan, Xiaohui Tao |
| 2023 | DASFAA | L2QA: Long Legal Article Question Answering with Cascaded Key Segment Learning. | Shugui Xie, Lin Li, Jingling Yuan, Qing Xie, Xiaohui Tao |
| 2023 | ICASSP | A Mutual Implicit Sentiment Analysis Model with Bundle-Aware Contrastive Learning. | Siqi Cai, Jingling Yuan, Lin Li |
| 2023 | ICASSP | Multimodal Propaganda Detection Via Anti-Persuasion Prompt enhanced contrastive learning. | Jian Cui, Lin Li, Xin Zhang, Jingling Yuan |
| 2023 | ICASSP | Tree-Like Interaction Learning for Bundle Recommendation. | Haole Ke, Lin Li, Peipei Wang, Jingling Yuan, Xiaohui Tao |
| 2023 | ICONIP | Category-Wise Meal Recommendation. | Ming Li, Lin Li, Xiaohui Tao, Qing Xie, Jingling Yuan |
| 2023 | WSDM | Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition. | Xin Zhang, Jingling Yuan, Lin Li, Jianquan Liu |
| 2022 | CIKM | Cooperative Max-Pressure Enhanced Traffic Signal Control. | Lin Li, Renbo Li, Yuquan Peng, Chuanming Huang, Jingling Yuan |
| 2022 | CIKM | MomNet: Gender Prediction using Mechanism of Working Memory. | Sijie Long, Lin Li, Jingling Yuan, Jianquan Liu |
| 2022 | CSCWD | A Budget-Constrained Energy-Efficient Scheduling Algorithm on Cloud-Edge Collaborative Workflows. | Hua Xiao, Jingling Yuan, Nana Wang |
| 2022 | MMM | Joint Re-Detection and Re-Identification for Multi-Object Tracking. | Jian He, Xian Zhong, Jingling Yuan, Ming Tan, Shilei Zhao, Luo Zhong |
| 2021 | CSCWD | An Efficient Long Chinese Text Sentiment Analysis Method Using BERT-Based Models with BiGRU. | Deming Sheng, Jingling Yuan |
| 2021 | ICASSP | Part-Aligned Network with Background for Misaligned Person Search. | Xian Zhong, Yiting Liu, Wenxin Huang, Xiao Wang, Bo Ma, Jingling Yuan |
| 2021 | SEKE | How MOOC Videos Affect Dropout? A Lightweight Pipeline Making Student Dropout Interpretable From Several Levels. | Deming Sheng, Jingling Yuan, Xin Zhang |
| 2021 | SEKE | Grasping or Forgetting? MAKT: A Dynamic Model via Multi-head Self-Attention for Knowledge Tracing. | Deming Sheng, Jingling Yuan, Xin Zhang |
| 2020 | ICASSP | Multi-Scale Residual Network for Image Classification. | Xian Zhong, Oubo Gong, Wenxin Huang, Jingling Yuan, Bo Ma, Ryan Wen Liu |
| 2020 | ICIP | Dual-Direction Perception and Collaboration Network for Near-Online Multi-Object Tracking. | Xian Zhong, Ming Tan, Weijian Ruan, Wenxin Huang, Liang Xie, Jingling Yuan |
| 2020 | ICSOC | Two-Sided Matching Scheduling Using Multi-Level Look-Ahead Queue of Supply and Demand. | Mincheng Chen, Jingling Yuan, Nana Wang, Yi Luo, Pei Luo |
| 2020 | KSEM | MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC. | Deming Sheng, Jingling Yuan, Qing Xie, Pei Luo |
| 2019 | HPCC | Research on Adoption of Gene-Disease Identification and Recognition Phenotype Process in High-Performance Computing and Applications (HPCA) Research. | Abed Alshreef, Jingling Yuan, Lin Li, Mesmin Junior Mbyamm K. |
| 2019 | ICTAI | An Efficient Semantic Segmentation Method using Pyramid ShuffleNet V2 with Vortex Pooling. | Jiansheng Dong, Jingling Yuan, Lin Li, Xian Zhong, Weiru Liu |
| 2018 | AAAI | Enhancing RNN Based OCR by Transductive Transfer Learning From Text to Images. | Yang He, Jingling Yuan, Lin Li |
| 2017 | ICDCS | A Fast Heuristic Attribute Reduction Algorithm Using Spark. | Mincheng Chen, Jingling Yuan, Lin Li, Dongling Liu, Tao Li |
| 2017 | ICDCS | Complete Tolerance Relation Based Filling Algorithm Using Spark. | Jingling Yuan, Yao Xiang, Xian Zhong, Mincheng Chen, Tao Li |
| 2015 | ISCA | Towards sustainable in-situ server systems in the big data era. | Chao Li, Yang Hu, Longjun Liu, Juncheng Gu, Mingcong Song, Xiaoyao Liang, Jingling Yuan, Tao Li |
| 2013 | MICRO | Enabling datacenter servers to scale out economically and sustainably. | Chao Li, Yang Hu, Ruijin Zhou, Ming Liu, Longjun Liu, Jingling Yuan, Tao Li |
| 2010 | GRC | Knowledge Reduction Algorithm Based on Relative Conditional Partition Granularity. | Jingling Yuan, Hongfu Du, Luo Zhong |
| 2009 | ISNN | Grey Neural Network Based Predictive Model for Multi-core Architecture 2D Spatial Characteristics. | Jingling Yuan, Tao Jiang, Jingjing He, Luo Zhong |
| 2009 | ISNN | An Improved Greedy Based Global Optimized Placement Algorithm. | Luo Zhong, Kejing Wang, Jingling Yuan, Jingjing He |
| 2009 | MASCOTS | Accurate, scalable and informative design space exploration for large and sophisticated multi-core oriented architectures. | Chang-Burm Cho, James Poe, Tao Li, Jingling Yuan |