Mingjie Zhong - RankMe

19 papers A* 4A 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection. EACL (Volume 1: Long Papers) Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao
2026	J	`jnl`	GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection. CoRR Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao
2025	A*	`conf`	Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. SIGIR Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo
2025	J	`jnl`	Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. CoRR Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo
2025	J	`jnl`	Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking. CoRR Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan
2025	J	`jnl`	Incremental robust predictive control for anti-pitching in catamarans with appendage constraints. Trans. Inst. Meas. Control Mingjie Zhong, Jun Zhang, Yifan Yang, Weidong Xu
2025	A*	`conf`	MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search. SIGIR Qi Zheng, Mingjie Zhong, Saisai Gong, Huimin Jiang, Kaixin Wu, Hong Liu, Jia Xu, Linjian Mo
2025	—	`conf`	Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. COLING (Industry) Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang
2024	A	`conf`	Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking. CIKM Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan
2024	A	`conf`	MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. CIKM Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo
2024	—	`conf`	Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering. EMNLP (Findings) Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Jia Xu, Min Zhang
2024	J	`jnl`	Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. CoRR Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang
2023	J	`jnl`	Anti-pitching of high-speed multihull ships based on incremental predictive control. J. Syst. Control. Eng. Weidong Xu, Jun Zhang, Mingjie Zhong
2023	A*	`conf`	DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023	J	`jnl`	DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023	A*	`conf`	GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023	J	`jnl`	GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. CoRR Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023	J	`jnl`	Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu
2014	—	`conf`	A Self-learning Clustering Algorithm Based on Clustering Coefficient. WISE (1) Mingjie Zhong, Zhijun Ding, Haichun Sun, Pengwei Wang