Fast Parallel Path Concatenation for Graph Extraction. - Yingxia Shao; Kai Lei; Lei Chen 002; Zi Huang; Bin Cui 001; Zhongyi Liu 001; Yunhai Tong; Jin Xu 002 (ICDE, 2018)

DKEN: Deep knowledge-enhanced network for recommender systems. - Xiaobo Guo; Wenfang Lin; Youru Li; Zhongyi Liu 001; Lin Yang; Shuliang Zhao; Zhenfeng Zhu (Inf. Sci., 2020)

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. - Mingzhe Li 001; Xiexiong Lin; Xiuying Chen; Jinxiong Chang; Qishen Zhang; Feng Wang 023; Taifeng Wang; Zhongyi Liu 001; Wei Chu; Dongyan Zhao 001; Rui Yan 001 (ACL (1), 2022)

Automatic Expert Selection for Multi-Scenario and Multi-Task Search. - Xinyu Zou; Zhi Hu; Yiming Zhao; Xuchu Ding; Zhongyi Liu 001; Chenliang Li 005; Aixin Sun (SIGIR, 2022)

Towards Better Hierarchical Text Classification with Data Generation. - Yue Wang 039; Dan Qiao; Juntao Li 005; Jinxiong Chang; Qishen Zhang; Zhongyi Liu 001; Guannan Zhang; Min Zhang 005 (ACL (Findings), 2023)

Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning. - Zeyuan Chen; Wei Chen 158; Jia Xu 013; Zhongyi Liu 001; Wei Zhang 056 (CIKM, 2023)

An Unified Search and Recommendation Foundation Model for Cold-Start Scenario. - Yuqi Gong; Xichen Ding; Yehui Su; Kaiming Shen; Zhongyi Liu 001; Guannan Zhang (CIKM, 2023)

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. - Xiaojie Sun; Keping Bi; Jiafeng Guo; Xinyu Ma 001; Yixing Fan; Hongyu Shan; Qishen Zhang; Zhongyi Liu 001 (CIKM, 2023)

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. - Ke Tu; Wei Qu; Zhengwei Wu; Zhiqiang Zhang 012; Zhongyi Liu 001; Yiming Zhao; Le Wu; Jun Zhou 011; Guannan Zhang (CIKM, 2023)

GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. - Weifan Wang 005; Binbin Hu; Zhicheng Peng; Mingjie Zhong; Zhiqiang Zhang 012; Zhongyi Liu 001; Guannan Zhang; Jun Zhou 011 (ICDE, 2023)

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning. - Chen Jiang 006; Hong Liu; Xuzheng Yu; Qing Wang 068; Yuan Cheng; Jia Xu 013; Zhongyi Liu 001; Qingpei Guo; Wei Chu; Ming Yang 007; Yuan Qi 001 (ACM Multimedia, 2023)

Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. - Hongyu Shan; Qishen Zhang; Zhongyi Liu 001; Guannan Zhang; Chenliang Li 005 (WWW, 2023)

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu 001; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (CoRR, 2023)

Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models. - Yue Wang 039; Xinrui Wang; Juntao Li 005; Jinxiong Chang; Qishen Zhang; Zhongyi Liu 001; Guannan Zhang; Min Zhang 005 (CoRR, 2023)

AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. - Zhaoxin Huan; Ke Ding 001; Ang Li 043; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang 045; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu 001; Wenliang Zhong; et al. (CoRR, 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 001; Wenliang Zhong; Zhenfeng Zhu (IEEE Trans. Knowl. Data Eng., 2023)

Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model. - Yue Wang 039; Zilong Zheng; Juntao Li 005; Zhihui Liu; Jinxiong Chang; Qishen Zhang; Zhongyi Liu 001; Guannan Zhang; Min Zhang 005 (LREC/COLING, 2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu 001; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (ICLR, 2024)

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. - Zhaoxin Huan; Ke Ding 001; Ang Li 043; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang 045; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu 001; Wenliang Zhong; et al. (SIGIR, 2024)

LLMGR: Large Language Model-based Generative Retrieval in Alipay Search. - Wei Chen 158; Yixin Ji; Zeyuan Chen; Jia Xu 013; Zhongyi Liu 001 (SIGIR, 2024)

Multi-Intent Attribute-Aware Text Matching in Searching. - Mingzhe Li 001; Xiuying Chen; Jing Xiang; Qishen Zhang; Changsheng Ma; Chenchen Dai; Jinxiong Chang; Zhongyi Liu 001; Guannan Zhang (WSDM, 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 001; Guannan Zhang; Xueqi Cheng (WSDM, 2024)

Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline. - Yue Wang 039; Zilong Zheng; Zecheng Tang; Juntao Li 005; Zhihui Liu; Kunlong Chen; Jinxiong Chang; Qishen Zhang; Zhongyi Liu 001; Min Zhang 005 (WSDM, 2024)

Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search. - Songhao Wu; Quan Tu; Hong Liu; Jia Xu 013; Zhongyi Liu 001; Guannan Zhang; Ran Wang; Xiuying Chen; Rui Yan 001 (WWW, 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 001; Guannan Zhang (CoRR, 2024)

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. - Ling Yang 006; Jiayi Zheng; Heyuan Wang 001; Zhongyi Liu 001; Zhilin Huang; Shenda Hong; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2024)

Graphusion: Latent Diffusion for Graph Generation. - Ling Yang 006; Zhilin Huang; Zhilong Zhang; Zhongyi Liu 001; Shenda Hong; Wentao Zhang 001; Wenming Yang; Bin Cui 001; Luxia Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. - Zeyuan Chen; Haiyan Wu; Kaixin Wu; Wei Chen 158; Mingjie Zhong; Jia Xu 013; Zhongyi Liu 001; Wei Zhang 056 (COLING (Industry), 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 013; Zhongyi Liu 001; Jinjie Gu; Yuan Zhou; Linjian Mo (NAACL (Industry Track), 2025)