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ORCIDYiling Jia
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2020 – today
- 2024
[c12]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:
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. ICML 2024- [i10]Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky:
Integrating Planning into Single-Turn Long-Form Text Generation. CoRR abs/2410.06203 (2024) - 2023
- [i9]Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Mykola Pechenizkiy, Yi Liang, Zhangyang Wang, Shiwei Liu:
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. CoRR abs/2310.05175 (2023) - 2022
- [c11]Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang:
Learning Neural Contextual Bandits through Perturbed Rewards. ICLR 2022 - [c10]Yiling Jia, Hongning Wang:
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. SIGIR 2022: 533-545 - [c9]Yiling Jia, Hongning Wang:
Learning Neural Ranking Models Online from Implicit User Feedback. WWW 2022: 431-441 - [i8]Yiling Jia, Hongning Wang:
Learning Neural Ranking Models Online from Implicit User Feedback. CoRR abs/2201.06658 (2022) - [i7]Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang:
Learning Contextual Bandits Through Perturbed Rewards. CoRR abs/2201.09910 (2022) - [i6]Yiling Jia, Hongning Wang:
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. CoRR abs/2206.05954 (2022) - 2021
- [c8]Huazheng Wang, Yiling Jia, Hongning Wang
:
Interactive Information Retrieval with Bandit Feedback. SIGIR 2021: 2658-2661 - [c7]Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang:
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. WWW 2021: 146-157 - [i5]Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang:
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. CoRR abs/2103.00368 (2021) - [i4]Yiling Jia, Hongning Wang:
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank. CoRR abs/2111.00735 (2021) - 2020
- [c6]Yiling Jia, Che-Rung Lee:
Vector Field Model for Trajectory Data and Its Application in Similarity Query. HPCC/DSS/SmartCity 2020: 1180-1187
2010 – 2019
- 2019
- [c5]Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse:
Active Collaborative Sensing for Energy Breakdown. CIKM 2019: 1943-1952 - [c4]Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang:
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. SIGIR 2019: 295-304 - [c3]Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse:
A Tree-Structured Neural Network Model for Household Energy Breakdown. WWW 2019: 2872-2878 - [i3]Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang:
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. CoRR abs/1906.02037 (2019) - [i2]Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse:
Active Collaborative Sensing for Energy Breakdown. CoRR abs/1909.00525 (2019) - 2018
- [c2]Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse:
Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. AAAI 2018: 740-747 - [c1]Nan Wang, Hongning Wang, Yiling Jia, Yue Yin:
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. SIGIR 2018: 165-174 - [i1]Nan Wang, Hongning Wang, Yiling Jia, Yue Yin:
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. CoRR abs/1806.03568 (2018)
Coauthor Index
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last updated on 2024-11-19 20:49 CET by the dblp team
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