Yuening Li

Orcid: 0000-0003-3849-5523

According to our database1, Yuening Li authored at least 28 papers between 2019 and 2024.

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Bibliography

2024
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact.
CoRR, 2024

Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model.
CoRR, 2024

Long-Term Value of Exploration: Measurements, Findings and Algorithms.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Value of Exploration: Measurements, Findings and Algorithms.
CoRR, 2023

A Simple Scheme for Coupled Factorization for Hyperspectral Super-Resolution: Exploiting Sparsity in an Easy Way.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Probabilistic Simplex Component Analysis.
IEEE Trans. Signal Process., 2022

Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Towards Learning Disentangled Representations for Time Series.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RES: An Interpretable Replicability Estimation System for Research Publications.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning Disentangled Representations for Time Series.
CoRR, 2021

Mitigating Gender Bias in Captioning Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Robust Probabilistic Simplex Component Analysis.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

AutoOD: Neural Architecture Search for Outlier Detection.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.
CoRR, 2020

Mitigating Gender Bias in Captioning Systems.
CoRR, 2020

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dual Policy Distillation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Stochastic Ml Estimation for Hyperspectral Unmixing Under Endmember Variability and Nonlinear Models.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
XDeep: An Interpretation Tool for Deep Neural Networks.
CoRR, 2019

PyODDS: An End-to-End Outlier Detection System.
CoRR, 2019

Towards Generalizable Forgery Detection with Locality-aware AutoEncoder.
CoRR, 2019

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Graph Recurrent Networks With Attributed Random Walks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Structured Cross-Modal Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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