Yinqiu Huang

According to our database, Yinqiu Huang authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Sample Is Feature: Beyond Item-Level, Toward Sample-Level Tokens for Unified Large Recommender Models.

Shuli Wang, Junwei Yin, Changhao Li, Senjie Kou, Chi Wang, Yinqiu Huang, Yinhua Zhu, Haitao Wang, Xingxing Wang

CoRR, April, 2026

DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan.

Junwei Yin, Senjie Kou, Changhao Li, Shuli Wang, Xue Wei, Yinqiu Huang, Yinhua Zhu, Haitao Wang, Xingxing Wang

CoRR, February, 2026

DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan.

Junwei Yin, Senjie Kou, Changhao Li, Shuli Wang, Yinqiu Huang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Emulating Reader Behaviors for Fake News Detection.

Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang

IEEE Trans. Big Data, October, 2025

Generative Bid Shading in Real-Time Bidding Advertising.

Yinqiu Huang, Hao Ma, Wenshuai Chen, Shuli Wang, Yongqiang Zhang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang

CoRR, August, 2025

Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.

Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang

Proceedings of the ACM on Web Conference 2025, 2025

You Only Evaluate Once: A Tree-based Rerank Method at Meituan.

Shuli Wang, Yinqiu Huang, Changhao Li, Yuan Zhou, Yonggang Liu, Yongqiang Zhang, Yinhua Zhu, Haitao Wang, Xingxing Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection.

Yinqiu Huang, Min Gao, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou

ACM Trans. Knowl. Discov. Data, September, 2024

Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing.

Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection.

Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Meta-prompt based learning for low-resource false information detection.

Yinqiu Huang, Min Gao, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen

Inf. Process. Manag., May, 2023

FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation.

Jia Wang, Min Gao, Yinqiu Huang, Kai Shu, Hualing Yi

Comput. Speech Lang., 2023

DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection.

Chaoran Zhang, Min Gao, Yinqiu Huang, Feng Jiang, Jia Wang, Junhao Wen

Proceedings of the Natural Language Processing and Chinese Computing, 2023

2021

DAFD: Domain Adaptation Framework for Fake News Detection.

Yinqiu Huang, Min Gao, Jia Wang, Kai Shu

Proceedings of the Neural Information Processing - 28th International Conference, 2021