Yuening Li

According to our database, Yuening Li authored at least 34 papers between 2019 and 2024.

Collaborative distances:

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

2024

FlatQuant: Flatness Matters for LLM Quantization.

Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao

CoRR, 2024

Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework.

Yuening Li, Xiao Fu, Junbin Liu, Wing-Kin Ma

CoRR, 2024

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

Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

CoRR, 2024

Long-Term Value of Exploration: Measurements, Findings and Algorithms.

Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System.

Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models.

Yuening Li, Diego Uribe, Chuan He, Jiaxi Tang, Qingyun Liu, Junjie Shan, Ben Most, Kaushik Kalyan, Shuchao Bi, Xinyang Yi, Lichan Hong, Ed H. Chi, Liang Liu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multi-Task Neural Linear Bandit for Exploration in Recommender Systems.

Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Probabilistic Simplex Component Analysis via Variational Auto-Encoding.

Yuening Li, Xiao Fu, Wing-Kin Ma

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Value of Exploration: Measurements, Findings and Algorithms.

Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen

CoRR, 2023

A Simple Scheme for Coupled Factorization for Hyperspectral Super-Resolution: Exploiting Sparsity in an Easy Way.

Yuening Li, Wing-Kin Ma, Ruiyuan Wu, Huikang Liu

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.

Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Probabilistic Simplex Component Analysis.

Ruiyuan Wu, Wing-Kin Ma, Yuening Li, Anthony Man-Cho So, Nicholas D. Sidiropoulos

IEEE Trans. Signal Process., 2022

Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.

Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu

IEEE Trans. Neural Networks Learn. Syst., 2022

Towards Learning Disentangled Representations for Time Series.

Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu

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.

Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman, Xia Hu, James Caverlee

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning Disentangled Representations for Time Series.

Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu

CoRR, 2021

Mitigating Gender Bias in Captioning Systems.

Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu

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

Robust Probabilistic Simplex Component Analysis.

Yuening Li, Wing-Kin Ma, Nicholas D. Sidiropoulos

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

AutoOD: Neural Architecture Search for Outlier Detection.

Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

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

Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu

CoRR, 2020

Mitigating Gender Bias in Captioning Systems.

Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu

CoRR, 2020

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning.

Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.

Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dual Policy Distillation.

Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Stochastic Ml Estimation for Hyperspectral Unmixing Under Endmember Variability and Nonlinear Models.

Yuening Li, Ruiyuan Wu, Wing-Kin Ma

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder.

Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu

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.

Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu

CoRR, 2019

PyODDS: An End-to-End Outlier Detection System.

Yuening Li, Daochen Zha, Na Zou, Xia Hu

CoRR, 2019

Towards Generalizable Forgery Detection with Locality-aware AutoEncoder.

Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu

CoRR, 2019

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.

Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Graph Recurrent Networks With Attributed Random Walks.

Xiao Huang, Qingquan Song, Yuening Li, Xia Hu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Structured Cross-Modal Anomaly Detection.

Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu

Proceedings of the International Joint Conference on Neural Networks, 2019

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.

Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou

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