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2020 – today
- 2025
[c9]Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang:
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. COLING (Industry) 2025: 784-793- [c8]Qi Zheng
, Mingjie Zhong, Saisai Gong, Huimin Jiang, Kaixin Wu, Hong Liu, Jia Xu, Linjian Mo:
MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search. SIGIR 2025: 4289-4293 - [c7]Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo:
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. SIGIR 2025: 4294-4298 - [i5]Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo:
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. CoRR abs/2503.21098 (2025) - [i4]Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan:
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking. CoRR abs/2505.14180 (2025) - 2024
- [c6]Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan:
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking. CIKM 2024: 2564-2574 - [c5]Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo:
MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. CIKM 2024: 3063-3072 - [c4]Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Jia Xu, Min Zhang:
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering. EMNLP (Findings) 2024: 7598-7610 - [i3]Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang:
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. CoRR abs/2408.09439 (2024) - 2023
- [j2]Weidong Xu, Jun Zhang, Mingjie Zhong:
Anti-pitching of high-speed multihull ships based on incremental predictive control. J. Syst. Control. Eng. 237(10): 1737-1752 (2023) - [j1]Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu:
Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35(1): 647-657 (2023) - [c3]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c2]Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE 2023: 3182-3195 - [i2]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i1]Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. CoRR abs/2304.12537 (2023)
2010 – 2019
- 2014
- [c1]Mingjie Zhong, Zhijun Ding, Haichun Sun, Pengwei Wang:
A Self-learning Clustering Algorithm Based on Clustering Coefficient. WISE (1) 2014: 79-94
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