| 2025 | KDD | Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews. | Jiaxi Yang, Yiling Jia, Carl Yang, Yi Liang, Lu Lin |
| 2024 | ICML | Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. | Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu |
| 2022 | ICLR | Learning Neural Contextual Bandits through Perturbed Rewards. | Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang |
| 2022 | WWW | Learning Neural Ranking Models Online from Implicit User Feedback. | Yiling Jia, Hongning Wang |
| 2022 | SIGIR | Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. | Yiling Jia, Hongning Wang |
| 2021 | WWW | PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. | Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang |
| 2021 | SIGIR | Interactive Information Retrieval with Bandit Feedback. | Huazheng Wang, Yiling Jia, Hongning Wang |
| 2020 | HPCC | Vector Field Model for Trajectory Data and Its Application in Similarity Query. | Yiling Jia, Che-Rung Lee |
| 2019 | CIKM | Active Collaborative Sensing for Energy Breakdown. | Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse |
| 2019 | WWW | A Tree-Structured Neural Network Model for Household Energy Breakdown. | Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse |
| 2019 | SIGIR | The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. | Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang |
| 2018 | AAAI | Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. | Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse |
| 2018 | SIGIR | Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. | Nan Wang, Hongning Wang, Yiling Jia, Yue Yin |