Haoyan Liu

According to our database, Haoyan Liu authored at least 21 papers between 2018 and 2026.

Collaborative distances:

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

2026

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation.

Jiaju Chen, Chongming Gao, Chenxiao Fan, Haoyan Liu, Qingpeng Cai, Peng Jiang, Xiangnan He

CoRR, April, 2026

Uncertainty-aware Generative Recommendation.

Chenxiao Fan, Chongming Gao, Yaxin Gong, Haoyan Liu, Fuli Feng, Xiangnan He

CoRR, February, 2026

MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback.

Shihao Cai, Chongming Gao, Haoyan Liu, Wentao Shi, Jianshan Sun, Ruiming Tang, Fuli Feng

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs.

Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MindRec: A Diffusion-driven Coarse-to-Fine Paradigm for Generative Recommendation.

Mengyao Gao, Chongming Gao, Haoyan Liu, Qingpeng Cai, Peng Jiang, Jiajia Chen, Shuai Yuan, Xiangnan He

CoRR, November, 2025

Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection.

Yan Weng, Fengbin Zhu, Tong Ye, Haoyan Liu, Fuli Feng, Tat-Seng Chua

CoRR, February, 2025

2023

SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision.

Rong Tian, Zijing Zhao, Weijie Liu, Haoyan Liu, Weiquan Mao, Zhe Zhao, Kan Zhou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.

Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023

Learning with Partial Annotations for Event Detection.

Jian Liu, Dianbo Sui, Kang Liu, Haoyan Liu, Zhe Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Document-Level Event Argument Extraction With a Chain Reasoning Paradigm.

Jian Liu, Chen Liang, Jinan Xu, Haoyan Liu, Zhe Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

SAMP: A Toolkit for Model Inference with Self-Adaptive Mixed-Precision.

Rong Tian, Zijing Zhao, Weijie Liu, Haoyan Liu, Weiquan Mao, Zhe Zhao, Kimmo Yan

CoRR, 2022

Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System.

Tao Zhu, Zhe Zhao, Weijie Liu, Jiachi Liu, Yiren Chen, Weiquan Mao, Haoyan Liu, Kunbo Ding, Yudong Li, Xuefeng Yang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching.

Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang, Rong Tian, Zhu Tao, Haoyan Liu, Han Guo, Xingyu Bai, Weiquan Mao, Yudong Li, Weigang Guo, Taiqiang Wu, Ningyuan Sun

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning.

Kunbo Ding, Weijie Liu, Yuejian Fang, Weiquan Mao, Zhe Zhao, Tao Zhu, Haoyan Liu, Rong Tian, Yiren Chen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2020

LARQ: Learning to Ask and Rewrite Questions for Community Question Answering.

Huiyang Zhou, Haoyan Liu, Zhao Yan, Yunbo Cao, Zhoujun Li

Proceedings of the Natural Language Processing and Chinese Computing, 2020

BiGCNN: Bidirectional Gated Convolutional Neural Network for Chinese Named Entity Recognition.

Tianyang Zhao, Haoyan Liu, Qianhui Wu, Changzhi Sun, Dongdong Zhang, Zhoujun Li

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL.

Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Split-and-Recombine Approach for Follow-up Query Analysis.

Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Leveraging Web Semantic Knowledge in Word Representation Learning.

Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

r-instance Learning for Missing People Tweets Identification.

Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu

CoRR, 2018

Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach.

Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu

CoRR, 2018