| 2026 | COLT | Ripple Mechanisms for Discrete and Private Statistics. | Matthew Joseph, Alex Kulesza, Yuyan Wang, Alexander Yu |
| 2025 | AISTATS | General Staircase Mechanisms for Optimal Differential Privacy. | Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang |
| 2025 | ICCAD | NSTherm: An Error-Bounded Network-Stochastic Fusion Thermal Simulator for Geometry-Adaptable Chiplets via Diffeomorphic Mapping and Neural-Guided Variance Reduction. | Yuan Meng, Yuyan Wang, Zhixuan Dong, Yonghan Luo, Changhao Yan, Keren Zhu, Zhaori Bi, Sheng-Guo Wang, Dian Zhou, Xuan Zeng |
| 2025 | KDD | Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems. | Yuyan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo, Sriraj Badam, Ed H. Chi, Minmin Chen |
| 2025 | RecSys | Not All Impressions Are Created Equal: Psychology-Informed Retention Optimization for Short-Form Video Recommendation. | Yuyan Wang, Jing Zhong, Yuxin Cui, Zhaohui Guo, Chuanqi Wei, Yanchen Wang, Zellux Wang |
| 2024 | ICDE | Multifaceted Reformulations for Null & Low queries and its parallelism with Counterfactuals. | Jayanth Yetukuri, Yuyan Wang, Ishita K. Khan, Liyang Hao, Zhe Wu, Yang Liu |
| 2024 | ICML | Mean Estimation in the Add-Remove Model of Differential Privacy. | Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang |
| 2023 | ICASSP | URM4DMU: An User Representation Model for Darknet Markets Users. | Hongmeng Liu, Jiapeng Zhao, Yixuan Huo, Yuyan Wang, Chun Liao, Liyan Shen, Shiyao Cui, Jinqiao Shi |
| 2023 | ICML | Predictive Flows for Faster Ford-Fulkerson. | Sami Davies, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang |
| 2023 | WWW | Latent User Intent Modeling for Sequential Recommenders. | Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen |
| 2022 | KDD | Surrogate for Long-Term User Experience in Recommender Systems. | Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen |
| 2022 | RecSys | Recommending for a multi-sided marketplace with heterogeneous contents. | Yuyan Wang, Long Tao, Xian-Xing Zhang |
| 2022 | WWW | Learning to Augment for Casual User Recommendation. | Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen |
| 2022 | WWW | Can Small Heads Help? Understanding and Improving Multi-Task Generalization. | Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi |
| 2021 | ACML | Scaling Average-Linkage via Sparse Cluster Embeddings. | Thomas Lavastida, Kefu Lu, Benjamin Moseley, Yuyan Wang |
| 2021 | AISTATS | Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors. | Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang |
| 2021 | ICALP | Relational Algorithms for k-Means Clustering. | Benjamin Moseley, Kirk Pruhs, Alireza Samadian, Yuyan Wang |
| 2021 | KDD | Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. | Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi |
| 2021 | RecSys | Values of User Exploration in Recommender Systems. | Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi |
| 2021 | WSDM | Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. | Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui |
| 2020 | AAAI | An Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means. | Yuyan Wang, Benjamin Moseley |
| 2020 | VTC | DaliNet: Lighter, deeper and larger field of vision. | Hao Fu, Yuyan Wang, Zhipeng Yang, Jiazheng Fu, Cheng Feng, Tian Xia |
| 2017 | CogSci | Is infants' mutual exclusivity response based on preference to novelty or non-name of an object? | Qinmei Xu, Ye Tao, Yuyan Wang, Jon-Fan Hu |