Sun, Jianling

11 publications

NeurIPS 2025 Parallel Scaling Law for Language Models Mouxiang Chen, Binyuan Hui, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Jianling Sun, Junyang Lin, Zhongxin Liu

ICML 2025 VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu

ICML 2024 Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun

ICML 2024 PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation Han Fu, Jian Tan, Pinhan Zhang, Feifei Li, Jianling Sun

NeurIPS 2022 LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun

AAAI 2019 Discrete Social Recommendation Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

AAAI 2018 Unified Locally Linear Classifiers with Diversity-Promoting Anchor Points Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi

MLJ 2017 Collaborative Topic Regression for Online Recommender Systems: An Online and Bayesian Approach Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

IJCAI 2017 Locally Linear Factorization Machines Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun

AAAI 2016 Online ARIMA Algorithms for Time Series Prediction Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

AAAI 2015 Are Features Equally Representative? a Feature-Centric Recommendation Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu