Yuening Li - RankMe

43 papers A* 10A 6B 1Misc 3Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	FlatQuant: Flatness Matters for LLM Quantization. ICML 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
2024	J	`jnl`	Brain-inspired multimodal motion and fine-grained action recognition. Frontiers Neurorobotics Yuening Li, Xiuhua Yang, Changkui Chen
2024	A	`conf`	Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System. RecSys Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu
2024	J	`jnl`	FlatQuant: Flatness Matters for LLM Quantization. CoRR 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
2024	J	`jnl`	Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework. CoRR Yuening Li, Xiao Fu, Junbin Liu, Wing-Kin Ma
2024	—	`conf`	IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. ACL (Findings) Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
2024	J	`jnl`	IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. CoRR Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
2024	A	`conf`	Long-Term Value of Exploration: Measurements, Findings and Algorithms. WSDM 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
2024	A*	`conf`	Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. KDD Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen
2024	Misc	`conf`	Probabilistic Simplex Component Analysis via Variational Auto-Encoding. ICASSP Yuening Li, Xiao Fu, Wing-Kin Ma
2024	A	`conf`	Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models. RecSys 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
2024	J	`jnl`	Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model. CoRR Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2023	Misc	`conf`	A Simple Scheme for Coupled Factorization for Hyperspectral Super-Resolution: Exploiting Sparsity in an Easy Way. ICASSP Yuening Li, Wing-Kin Ma, Ruiyuan Wu, Huikang Liu
2023	A	`conf`	Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. CIKM Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi
2023	J	`jnl`	Value of Exploration: Measurements, Findings and Algorithms. CoRR 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
2022	J	`jnl`	Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2022	J	`jnl`	Probabilistic Simplex Component Analysis. IEEE Trans. Signal Process. Ruiyuan Wu, Wing-Kin Ma, Yuening Li, Anthony Man-Cho So, Nicholas D. Sidiropoulos
2022	A*	`conf`	RES: An Interpretable Replicability Estimation System for Research Publications. AAAI Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee
2022	A*	`conf`	Towards Learning Disentangled Representations for Time Series. KDD Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2021	A*	`conf`	AutoOD: Neural Architecture Search for Outlier Detection. ICDE Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2021	J	`jnl`	Learning Disentangled Representations for Time Series. CoRR Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
2021	A*	`conf`	Mitigating Gender Bias in Captioning Systems. WWW Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
2021	—	`conf`	Robust Probabilistic Simplex Component Analysis. SSP Yuening Li, Wing-Kin Ma, Nicholas D. Sidiropoulos
2020	J	`jnl`	AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2020	A*	`conf`	Dual Policy Distillation. IJCAI Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
2020	J	`jnl`	Dual Policy Distillation. CoRR Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
2020	J	`jnl`	Mitigating Gender Bias in Captioning Systems. CoRR Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu
2020	—	`conf`	PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
2020	J	`jnl`	PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
2020	Misc	`conf`	Stochastic Ml Estimation for Hyperspectral Unmixing Under Endmember Variability and Nonlinear Models. ICASSP Yuening Li, Ruiyuan Wu, Wing-Kin Ma
2020	A*	`conf`	Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020	J	`jnl`	Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020	A	`conf`	Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. CIKM Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu
2019	B	`conf`	Deep Structured Cross-Modal Anomaly Detection. IJCNN Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019	J	`jnl`	Deep Structured Cross-Modal Anomaly Detection. CoRR Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019	A*	`conf`	Graph Recurrent Networks With Attributed Random Walks. KDD Xiao Huang, Qingquan Song, Yuening Li, Xia Hu
2019	J	`jnl`	Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. CoRR Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
2019	A*	`conf`	Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. KDD Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
2019	J	`jnl`	PyODDS: An End-to-End Outlier Detection System. CoRR Yuening Li, Daochen Zha, Na Zou, Xia Hu
2019	A	`conf`	SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2019	J	`jnl`	SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2019	J	`jnl`	Towards Generalizable Forgery Detection with Locality-aware AutoEncoder. CoRR Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu
2019	J	`jnl`	XDeep: An Interpretation Tool for Deep Neural Networks. CoRR Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu