Tianyu Cao

According to our database, Tianyu Cao authored at least 21 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.

Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

CoRR, 2024

COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon.

Changlong Yu, Xin Liu, Jefferson Maia, Yang Li, Tianyu Cao, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.

Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher

Proceedings of the ACM Web Conference 2023, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.

Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.

Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.

Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin

CoRR, 2022

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.

Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin

CoRR, 2022

ROSE: Robust Caches for Amazon Product Search.

Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Query Attribute Recommendation at Amazon Search.

Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.

Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision.

Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song, Bing Yin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.

Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data.

Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2014

Learning the information diffusion probabilities by using variance regularized EM algorithm.

Hai-Guang Li, Tianyu Cao, Zhao Li

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2012

ProteinNET: A Protein Interaction Network Integration System.

Tianyu Cao, Xindong Wu, Xiaohua Hu

Proceedings of the Modern Advances in Intelligent Systems and Tools, 2012

2011

Subkilometer crater discovery with boosting and transfer learning.

Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu

ACM Trans. Intell. Syst. Technol., 2011

Maximizing influence spread in modular social networks by optimal resource allocation.

Tianyu Cao, Xindong Wu, Song Wang, Xiaohua Hu

Expert Syst. Appl., 2011

Active Learning of Model Parameters for Influence Maximization.

Tianyu Cao, Xindong Wu, Xiaohua Tony Hu, Song Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

OASNET: an optimal allocation approach to influence maximization in modular social networks.

Tianyu Cao, Xindong Wu, Song Wang, Xiaohua Hu

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting.

Wei Ding, Tomasz F. Stepinski, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification.

Song Wang, Fan Min, Zhihai Wang, Tianyu Cao

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009