Zheng, Yin

17 publications

ICLR 2026 Token Alignment Heads: Unveiling Attention's Role in LLM Multilingual Translation Binbinliu, Wenhan Han, Feng Chen, Yifan Zhang, Ping Guo, Haobin Lin, Bingni Zhang, Taifeng Wang, Yin Zheng

NeurIPS 2025 Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining Ping Guo, Yubing Ren, Binbinliu, Fengze Liu, Haobin Lin, Yifan Zhang, Bingni Zhang, Taifeng Wang, Yin Zheng

NeurIPS 2025 MoORE: SVD-Based Model MoE-Ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation Shen Yuan, Yin Zheng, Taifeng Wang, Binbinliu, Hongteng Xu

NeurIPS 2025 MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining Zhixun Chen, Ping Guo, Wenhan Han, Yifan Zhang, Binbinliu, Haobin Lin, Fengze Liu, Yan Zhao, Bingni Zhang, Taifeng Wang, Yin Zheng, Trevor Cohn, Meng Fang

CVPRW 2023 Pareto-Aware Neural Architecture Generation for Diverse Computational Budgets Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan

ECCV 2020 A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang

ICML 2020 Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

ICLR 2020 Towards Fast Adaptation of Neural Architectures with Meta Learning Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao

CVPR 2019 Fast Single Image Reflection Suppression via Convex Optimization Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu

NeurIPS 2019 NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

ICML 2019 RaFM: Rank-Aware Factorization Machines Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang

AAAI 2018 Collaborative Filtering with User-Item Co-Autoregressive Models Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang

JMLR 2017 Document Neural Autoregressive Distribution Estimation Stanislas Lauly, Yin Zheng, Alexandre Allauzen, Hugo Larochelle

IJCAI 2017 Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou

ICML 2016 A Neural Autoregressive Approach to Collaborative Filtering Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou

ICML 2016 Dynamic Capacity Networks Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron Courville

CVPR 2014 Topic Modeling of Multimodal Data: An Autoregressive Approach Yin Zheng, Yu-Jin Zhang, Hugo Larochelle