SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. - Yuening Li; Xiao Huang 001; Jundong Li; Mengnan Du; Na Zou 001 (CIKM, 2019)

Deep Structured Cross-Modal Anomaly Detection. - Yuening Li; Ninghao Liu; Jundong Li; Mengnan Du; Xia Hu 001 (IJCNN, 2019)

Graph Recurrent Networks With Attributed Random Walks. - Xiao Huang 001; Qingquan Song; Yuening Li; Xia Hu 001 (KDD, 2019)

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. - Ninghao Liu; Qiaoyu Tan; Yuening Li; Hongxia Yang; Jingren Zhou 001; Xia Hu 001 (KDD, 2019)

Towards Generalizable Forgery Detection with Locality-aware AutoEncoder. - Mengnan Du; Shiva K. Pentyala; Yuening Li; Xia Hu 001 (CoRR, 2019)

PyODDS: An End-to-End Outlier Detection System. - Yuening Li; Daochen Zha; Na Zou 001; Xia Hu 001 (CoRR, 2019)

XDeep: An Interpretation Tool for Deep Neural Networks. - Fan Yang 023; Zijian Zhang; Haofan Wang; Yuening Li; Xia Hu 001 (CoRR, 2019)

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. - Mengnan Du; Shiva K. Pentyala; Yuening Li; Xia Hu 001 (CIKM, 2020)

Stochastic Ml Estimation for Hyperspectral Unmixing Under Endmember Variability and Nonlinear Models. - Yuening Li; Ruiyuan Wu; Wing-Kin Ma (ICASSP, 2020)

Dual Policy Distillation. - Kwei-Herng Lai; Daochen Zha; Yuening Li; Xia Hu 001 (IJCAI, 2020)

Towards Deeper Graph Neural Networks with Differentiable Group Normalization. - Kaixiong Zhou; Xiao Huang 001; Yuening Li; Daochen Zha; Rui Chen 012; Xia Hu 001 (NeurIPS, 2020)

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. - Yuening Li; Daochen Zha; Praveen Kumar Venugopal; Na Zou 001; Xia Hu 001 (WWW (Companion Volume), 2020)

Mitigating Gender Bias in Captioning Systems. - Ruixiang Tang; Mengnan Du; Yuening Li; Zirui Liu 001; Xia Hu 001 (CoRR, 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 001 (CoRR, 2020)

AutoOD: Neural Architecture Search for Outlier Detection. - Yuening Li; Zhengzhang Chen; Daochen Zha; Kaixiong Zhou; Haifeng Jin; Haifeng Chen; Xia Hu 001 (ICDE, 2021)

Robust Probabilistic Simplex Component Analysis. - Yuening Li; Wing-Kin Ma; Nicholas D. Sidiropoulos (SSP, 2021)

Mitigating Gender Bias in Captioning Systems. - Ruixiang Tang; Mengnan Du; Yuening Li; Zirui Liu 001; Na Zou 001; Xia Hu 001 (WWW, 2021)

Learning Disentangled Representations for Time Series. - Yuening Li; Zhengzhang Chen; Daochen Zha; Mengnan Du; Denghui Zhang; Haifeng Chen; Xia Hu 001 (CoRR, 2021)

RES: An Interpretable Replicability Estimation System for Research Publications. - Zhuoer Wang; Qizhang Feng; Mohinish Chatterjee; Xing Zhao 003; Yezi Liu; Yuening Li; Abhay Kumar Singh; Frank M. Shipman; Xia Hu 001; James Caverlee (AAAI, 2022)

Towards Learning Disentangled Representations for Time Series. - Yuening Li; Zhengzhang Chen; Daochen Zha; Mengnan Du; Jingchao Ni; Denghui Zhang; Haifeng Chen; Xia Hu 001 (KDD, 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 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Probabilistic Simplex Component Analysis. - Ruiyuan Wu; Wing-Kin Ma; Yuening Li; Anthony Man-Cho So; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2022)

Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. - Qingyun Liu 003; Zhe Zhao 001; Liang Liu 017; Zhen Zhang; Junjie Shan; Yuening Li; Shuchao Bi; Lichan Hong; Ed H. Chi (CIKM, 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 (ICASSP, 2023)

Value of Exploration: Measurements, Findings and Algorithms. - Yi Su 008; Xiangyu Wang; Elaine Ya Le; Liang Liu 017; Yuening Li; Haokai Lu; Benjamin Lipshitz; Sriraj Badam; Lukasz Heldt; Shuchao Bi; Ed H. Chi; Cristos Goodrow; et al. (CoRR, 2023)

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 002; Jun Yao; Chun Yuan (ACL (Findings), 2024)

Probabilistic Simplex Component Analysis via Variational Auto-Encoding. - Yuening Li; Xiao Fu 001; Wing-Kin Ma (ICASSP, 2024)

Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. - Yi Su 008; Haokai Lu; Yuening Li; Liang Liu 017; Shuchao Bi; Ed H. Chi; Minmin Chen (KDD, 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 003; Junjie Shan; Ben Most; Kaushik Kalyan; Shuchao Bi; Xinyang Yi; Lichan Hong; Ed H. Chi; et al. (RecSys, 2024)

Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System. - Zhen Zhang; Qingyun Liu 003; Yuening Li; Sourabh Bansod; Mingyan Gao; Yaping Zhang; Zhe Zhao 001; Lichan Hong; Ed H. Chi; Shuchao Bi; Liang Liu 017 (RecSys, 2024)

Long-Term Value of Exploration: Measurements, Findings and Algorithms. - Yi Su 008; Xiangyu Wang; Elaine Ya Le; Liang Liu 017; Yuening Li; Haokai Lu; Benjamin Lipshitz; Sriraj Badam; Lukasz Heldt; Shuchao Bi; Ed H. Chi; Cristos Goodrow; et al. (WSDM, 2024)

Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model. - Zichang Liu; Qingyun Liu 003; Yuening Li; Liang Liu 017; Anshumali Shrivastava; Shuchao Bi; Lichan Hong; Ed H. Chi; Zhe Zhao 001 (CoRR, 2024)

Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework. - Yuening Li; Xiao Fu 001; Junbin Liu; Wing-Kin Ma (CoRR, 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 002; Chun Yuan; Xin Jiang 002; Wulong Liu; et al. (CoRR, 2024)

Brain-inspired multimodal motion and fine-grained action recognition. - Yuening Li; Xiuhua Yang; Changkui Chen (Frontiers Neurorobotics, 2024)