Junming Yin

28 papers A* 3A 3C 2Misc 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
When LLMs get significantly worse: A statistical approach to detect model degradations.
CoRR
Jonas M. Kübler, Kailash Budhathoki, Matthäus Kleindessner, Xiong Zhou, Junming Yin, Ashish Khetan, George Karypis
2025 J jnl
Chronos-2: From Univariate to Universal Forecasting.
CoRR
Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken, Andreas Auer, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Pablo Guerron, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, Hao Wang, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider
2025 J jnl
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models.
CoRR
Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang
2025 J jnl
Modeling Behavioral Dynamics in Digital Content Consumption: An Attention-Based Neural Point Process Approach with Applications in Video Games.
Mark. Sci.
Junming Yin, Yue (Katherine) Feng, Yong Liu
2022 A conf
Bandit Learning in Many-to-One Matching Markets.
CIKM
Zilong Wang, Liya Guo, Junming Yin, Shuai Li
2022 J jnl
Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation.
CoRR
Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin
2022 A* conf
Thompson Sampling for Bandit Learning in Matching Markets.
IJCAI
Fang Kong, Junming Yin, Shuai Li
2022 J jnl
Thompson Sampling for Bandit Learning in Matching Markets.
CoRR
Fang Kong, Junming Yin, Shuai Li
2021 J jnl
Learning from Crowdsourced Multi-labeling: A Variational Bayesian Approach.
Inf. Syst. Res.
Junming Yin, Jerry Luo, Susan A. Brown
2020 A conf
Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models.
UAI
Xi Wang, Junming Yin
2019 J jnl
Deep Reinforcement Learning for Personalized Search Story Recommendation.
CoRR
Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu
2018 J jnl
Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications.
IEEE Trans. Knowl. Data Eng.
Weifeng Li, Junming Yin, Hsinchun Chen
2017 A conf
Convex-constrained Sparse Additive Modeling and Its Extensions.
UAI
Junming Yin, Yaoliang Yu
2017 J jnl
Convex-constrained Sparse Additive Modeling and Its Extensions.
CoRR
Junming Yin, Yaoliang Yu
2017 A* conf
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract).
ICDE
Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan
2016 J jnl
A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits.
Bioinform.
Micol Marchetti-Bowick, Junming Yin, Judie A. Howrylak, Eric P. Xing
2016 C conf
Identifying High Quality Carding Services in Underground Economy using Nonparametric Supervised Topic Model.
ICIS
Weifeng Li, Junming Yin, Hsinchun Chen
2016 J jnl
Latent Space Inference of Internet-Scale Networks.
J. Mach. Learn. Res.
Qirong Ho, Junming Yin, Eric P. Xing
2016 J jnl
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks.
IEEE Trans. Knowl. Data Eng.
Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan
2016 C conf
Targeting key data breach services in underground supply chain.
ISI
Weifeng Li, Junming Yin, Hsinchun Chen
2013 — conf
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks.
NIPS
Junming Yin, Qirong Ho, Eric P. Xing
2013 J jnl
Petuum: A Framework for Iterative-Convergent Distributed ML.
CoRR
Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
2012 Misc conf
Finding Genome-Transcriptome-Phenome Associations with Structured Association Mapping and Visualization in GenAMap.
Pacific Symposium on Biocomputing
Ross E. Curtis, Junming Yin, Peter Kinnaird, Eric P. Xing
2012 J jnl
Group Sparse Additive Models
CoRR
Junming Yin, Xi Chen, Eric P. Xing
2012 A* conf
Group Sparse Additive Models.
ICML
Junming Yin, Xi Chen, Eric P. Xing
2012 — conf
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks.
NIPS
Qirong Ho, Junming Yin, Eric P. Xing
2010 — —
Computational Methods for Meiotic Recombination Inference.
Junming Yin
2009 J jnl
Joint estimation of gene conversion rates and mean conversion tract lengths from population SNP data.
Bioinform.
Junming Yin, Michael I. Jordan, Yun S. Song