Yiling Jia - RankMe

23 papers A* 10A 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews. KDD (2) Jiaxi Yang, Yiling Jia, Carl Yang, Yi Liang, Lu Lin
2024	J	`jnl`	Integrating Planning into Single-Turn Long-Form Text Generation. CoRR Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky
2024	A*	`conf`	Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. ICML 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
2023	J	`jnl`	Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. CoRR Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Mykola Pechenizkiy, Yi Liang, Zhangyang Wang, Shiwei Liu
2022	J	`jnl`	Learning Contextual Bandits Through Perturbed Rewards. CoRR Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang
2022	A*	`conf`	Learning Neural Contextual Bandits through Perturbed Rewards. ICLR Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang
2022	A*	`conf`	Learning Neural Ranking Models Online from Implicit User Feedback. WWW Yiling Jia, Hongning Wang
2022	J	`jnl`	Learning Neural Ranking Models Online from Implicit User Feedback. CoRR Yiling Jia, Hongning Wang
2022	A*	`conf`	Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. SIGIR Yiling Jia, Hongning Wang
2022	J	`jnl`	Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. CoRR Yiling Jia, Hongning Wang
2021	J	`jnl`	Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank. CoRR Yiling Jia, Hongning Wang
2021	A*	`conf`	Interactive Information Retrieval with Bandit Feedback. SIGIR Huazheng Wang, Yiling Jia, Hongning Wang
2021	A*	`conf`	PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. WWW Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang
2021	J	`jnl`	PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. CoRR Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang
2020	—	`conf`	Vector Field Model for Trajectory Data and Its Application in Similarity Query. HPCC/DSS/SmartCity Yiling Jia, Che-Rung Lee
2019	A*	`conf`	A Tree-Structured Neural Network Model for Household Energy Breakdown. WWW Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse
2019	A	`conf`	Active Collaborative Sensing for Energy Breakdown. CIKM Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse
2019	J	`jnl`	Active Collaborative Sensing for Energy Breakdown. CoRR Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse
2019	A*	`conf`	The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. SIGIR Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang
2019	J	`jnl`	The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. CoRR Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang
2018	A*	`conf`	Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. SIGIR Nan Wang, Hongning Wang, Yiling Jia, Yue Yin
2018	J	`jnl`	Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. CoRR Nan Wang, Hongning Wang, Yiling Jia, Yue Yin
2018	A*	`conf`	Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. AAAI Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse