Zhongyi Liu

According to our database, Zhongyi Liu authored at least 29 papers between 2018 and 2025.

Collaborative distances:

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

2025

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search.

Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting.

Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Graphusion: Latent Diffusion for Graph Generation.

Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang

IEEE Trans. Knowl. Data Eng., November, 2024

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization.

Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., February, 2024

SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation.

Kaiming Shen, Xichen Ding, Zixiang Zheng, Yuqi Gong, Qianqian Li, Zhongyi Liu, Guannan Zhang

CoRR, 2024

Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search.

Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu, Guannan Zhang, Ran Wang, Xiuying Chen, Rui Yan

Proceedings of the ACM on Web Conference 2024, 2024

Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline.

Yue Wang, Zilong Zheng, Zecheng Tang, Juntao Li, Zhihui Liu, Kunlong Chen, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Min Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval.

Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Multi-Intent Attribute-Aware Text Matching in Searching.

Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

LLMGR: Large Language Model-based Generative Retrieval in Alipay Search.

Wei Chen, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.

Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs.

Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model.

Yue Wang, Zilong Zheng, Juntao Li, Zhihui Liu, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction.

Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu

IEEE Trans. Knowl. Data Eng., 2023

AntM²C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.

Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang

CoRR, 2023

Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models.

Yue Wang, Xinrui Wang, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang

CoRR, 2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs.

Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

CoRR, 2023

Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval.

Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li

Proceedings of the ACM Web Conference 2023, 2023

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning.

Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi

Proceedings of the 31st ACM International Conference on Multimedia, 2023

GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning.

Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.

Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval.

Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Unified Search and Recommendation Foundation Model for Cold-Start Scenario.

Yuqi Gong, Xichen Ding, Yehui Su, Kaiming Shen, Zhongyi Liu, Guannan Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning.

Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Better Hierarchical Text Classification with Data Generation.

Yue Wang, Dan Qiao, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang

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

2022

Automatic Expert Selection for Multi-Scenario and Multi-Task Search.

Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation.

Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan

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

2020

DKEN: Deep knowledge-enhanced network for recommender systems.

Xiaobo Guo, Wenfang Lin, Youru Li, Zhongyi Liu, Lin Yang, Shuliang Zhao, Zhenfeng Zhu

Inf. Sci., 2020

2018

Fast Parallel Path Concatenation for Graph Extraction.

Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018