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Journal Articles
- 2022
[j2]Yuening Li
, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2365-2377 (2022)- [j1]Ruiyuan Wu, Wing-Kin Ma, Yuening Li, Anthony Man-Cho So, Nicholas D. Sidiropoulos:
Probabilistic Simplex Component Analysis. IEEE Trans. Signal Process. 70: 582-599 (2022)
Conference and Workshop Papers
- 2024
- [c22]Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan:
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. ACL (Findings) 2024: 7716-7741 - [c21]Yuening Li, Xiao Fu, Wing-Kin Ma:
Probabilistic Simplex Component Analysis via Variational Auto-Encoding. ICASSP 2024: 9671-9675 - [c20]Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen:
Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. KDD 2024: 5723-5730 - [c19]Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu:
Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System. RecSys 2024: 762-764 - [c18]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:
Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models. RecSys 2024: 832-834 - [c17]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:
Long-Term Value of Exploration: Measurements, Findings and Algorithms. WSDM 2024: 636-644 - 2023
- [c16]Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi:
Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. CIKM 2023: 4709-4716 - [c15]Yuening Li, Wing-Kin Ma, Ruiyuan Wu, Huikang Liu:
A Simple Scheme for Coupled Factorization for Hyperspectral Super-Resolution: Exploiting Sparsity in an Easy Way. ICASSP 2023: 1-5 - 2022
- [c14]Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman, Xia Hu, James Caverlee:
RES: An Interpretable Replicability Estimation System for Research Publications. AAAI 2022: 13230-13232 - [c13]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu:
Towards Learning Disentangled Representations for Time Series. KDD 2022: 3270-3278 - 2021
- [c12]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Neural Architecture Search for Outlier Detection. ICDE 2021: 2117-2122 - [c11]Yuening Li, Wing-Kin Ma, Nicholas D. Sidiropoulos:
Robust Probabilistic Simplex Component Analysis. SSP 2021: 456-460 - [c10]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu:
Mitigating Gender Bias in Captioning Systems. WWW 2021: 633-645 - 2020
- [c9]Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu:
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. CIKM 2020: 325-334 - [c8]Yuening Li, Ruiyuan Wu, Wing-Kin Ma:
Stochastic Ml Estimation for Hyperspectral Unmixing Under Endmember Variability and Nonlinear Models. ICASSP 2020: 5315-5319 - [c7]Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu:
Dual Policy Distillation. IJCAI 2020: 3146-3152 - [c6]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS 2020 - [c5]Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu:
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) 2020: 153-157 - 2019
- [c4]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM 2019: 2233-2236 - [c3]Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. IJCNN 2019: 1-8 - [c2]Xiao Huang, Qingquan Song, Yuening Li, Xia Hu:
Graph Recurrent Networks With Attributed Random Walks. KDD 2019: 732-740 - [c1]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. KDD 2019: 932-940
Informal and Other Publications
- 2024
- [i17]Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao:
Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model. CoRR abs/2402.14035 (2024) - [i16]Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan:
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. CoRR abs/2403.01241 (2024) - [i15]Yuening Li, Xiao Fu, Junbin Liu, Wing-Kin Ma:
Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework. CoRR abs/2407.14899 (2024) - [i14]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:
FlatQuant: Flatness Matters for LLM Quantization. CoRR abs/2410.09426 (2024) - 2023
- [i13]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:
Value of Exploration: Measurements, Findings and Algorithms. CoRR abs/2305.07764 (2023) - 2021
- [i12]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. CoRR abs/2105.08179 (2021) - 2020
- [i11]Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu:
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR abs/2003.05602 (2020) - [i10]Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu:
Dual Policy Distillation. CoRR abs/2006.04061 (2020) - [i9]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR abs/2006.06972 (2020) - [i8]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu:
Mitigating Gender Bias in Captioning Systems. CoRR abs/2006.08315 (2020) - [i7]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR abs/2006.11321 (2020) - 2019
- [i6]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. CoRR abs/1905.10668 (2019) - [i5]Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. CoRR abs/1908.03848 (2019) - [i4]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR abs/1908.03849 (2019) - [i3]Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu:
Towards Generalizable Forgery Detection with Locality-aware AutoEncoder. CoRR abs/1909.05999 (2019) - [i2]Yuening Li, Daochen Zha, Na Zou, Xia Hu:
PyODDS: An End-to-End Outlier Detection System. CoRR abs/1910.02575 (2019) - [i1]Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu:
XDeep: An Interpretation Tool for Deep Neural Networks. CoRR abs/1911.01005 (2019)
Coauthor Index
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