Yuening Li

Contributed to SFT and RL post-training for Google DeepMind’s flagship 1M-context frontier reasoning models, optimizing long-horizon agentic execution, autonomous software engineering, and defensive cybersecurity capabilities.

• NeurIPS 2026

  Efficient Analytic Uncertainty Quantification for Multimodal Regression

  Kun Jin, James Harrison, Jiawei Li, Sihan Liu, Jiayi Liu, Randolph Linderman, Yuening Li, Arnab Bhadury, Sourabh Prakash Bansod, Liang Liu, Jasper Snoek

  [arxiv]
• KDD 2026

  Addressing Intent Dissonance in Cross-Domain Distillation on YouTube

  Daokun Jiang, Nikhil Khani, Alice Tuo, Li Wei, Zeyu Wang, Joey Qiao, Chuan He, Yuening Li, Aniruddh Nath, Shawn Andrews, Liang Liu

  [paper]
• SIGIR 2026

  Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling

  Ruixiao Sun, Diego Uribe, Zhimeng Jiang, Yuanzhen Lin, Jiarui Wang, Yuening Li, Danfeng Guo, Zhizhong Chen, Chuan He, Liang Liu

  [paper]
• RecSys 2026

  Interest Sequence for User Modeling in Industrial Short-Form Video Recommendation

  Yuanzhen Lin, Diego Uribe, Yuan Shao, Ruixiao Sun, Yongle Cao, Zhimeng Jiang, Yuening Li, Yang Gu, Chuan He, Liang Liu, Sourabh Bansod

  [program]
• WSDM 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

  Best Paper Award [arxiv] [paper]
• RecSys 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

  Core System Paper [paper]
• RecSys 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 (* equal contribution)

  [paper]
• KDD 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

  [paper]
• CIKM 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

  [paper]
• KDD 2022

  Towards Learning Disentangled Representations for Time Series

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

  [paper]
• AAAI 2022

  RES: A Replicability Estimation System

  Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Yuening Li, et al.

• IEEE TNNLS

  Automated Outlier Detection via Curiosity-Guided Search and Self-Imitation Learning

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

  [arxiv]
• ICDE 2021

  AutoOD: Neural Architecture Search for Outlier Detection

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

  [arxiv]
• WWW 2021

  Mitigating Gender Bias in Captioning Systems

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

  [arxiv]
• WWW 2020

  An End-to-End Outlier Detection System with Automated Machine Learning

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

  [arxiv]
• NeurIPS 2020

  Towards Deeper Graph Neural Networks with Differentiable Group Normalization

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

  [arxiv]
• IJCAI 2020

  Dual Policy Distillation

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

  [arxiv]
• CIKM 2020

  Locality Aware Autoencoder for Manipulated Forgery Detection

  Mengnan Du, Shiva Pentyala, Yuening Li, Xia Hu

  [arxiv]
• CIKM 2019

  Spectral Autoencoder for Anomaly Detection in Attributed Networks

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

  Best Paper Finalist [arxiv]
• KDD 2019

  Graph Recurrent Networks with Attributed Random Walks

  Xiao Huang, Qingquan Song, Yuening Li, Xia Hu

  [paper]
• KDD 2019

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

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

  [arxiv]
• IJCNN 2019

  Deep Structured Cross-Modal Anomaly Detection

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

  [arxiv]

Program Committee & Reviewer: NeurIPS, ICML, ICLR, KDD, RecSys, WSDM, WWW, AAAI, CIKM, and IEEE Transactions on Neural Networks and Learning Systems (TNNLS).