Yiling Jia

According to our database, Yiling Jia authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Mykola Pechenizkiy, Yi Liang, Zhangyang Wang, Shiwei Liu

CoRR, 2023

2022

Learning Contextual Bandits Through Perturbed Rewards.

Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang

CoRR, 2022

Learning Neural Ranking Models Online from Implicit User Feedback.

Yiling Jia, Hongning Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback.

Yiling Jia, Hongning Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning Neural Contextual Bandits through Perturbed Rewards.

Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank.

Yiling Jia, Hongning Wang

CoRR, 2021

PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer.

Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Interactive Information Retrieval with Bandit Feedback.

Huazheng Wang, Yiling Jia, Hongning Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Vector Field Model for Trajectory Data and Its Application in Similarity Query.

Yiling Jia, Che-Rung Lee

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

A Tree-Structured Neural Network Model for Household Energy Breakdown.

Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse

Proceedings of the World Wide Web Conference, 2019

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees.

Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Active Collaborative Sensing for Energy Breakdown.

Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data.

Nan Wang, Hongning Wang, Yiling Jia, Yue Yin

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions.

Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018