Detection of hidden feature requests from massive chat messages via deep siamese network. - Lin Shi 006; Mingzhe Xing; Mingyang Li; Yawen Wang; Shoubin Li; Qing Wang 001 (ICSE, 2020)

Learning to extract transaction function from requirements: an industrial case on financial software. - Lin Shi 006; Mingyang Li; Mingzhe Xing; Yawen Wang; Qing Wang 001; Xinhua Peng; Weimin Liao; Guizhen Pi; Haiqing Wang (ESEC/SIGSOFT FSE, 2020)

Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. - Mingzhe Xing; Shuqing Bian; Wayne Xin Zhao; Zhen Xiao; Xingji Luo; Cunxiang Yin; Jing Cai; Yancheng He (KDD, 2021)

Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning. - Mingzhe Xing; Hangyu Mao; Zhen Xiao (IJCAI, 2022)

A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. - Mingzhe Xing; Hangyu Mao; Shenglin Yin; Lichen Pan; Zhengchao Zhang; Zhen Xiao; Jieyi Long (KDD, 2023)

A Generic Method for Fine-grained Category Discovery in Natural Language Texts. - Chang Tian; Matthew B. Blaschko; Wenpeng Yin 001; Mingzhe Xing; Yinliang Yue; Marie-Francine Moens (EMNLP, 2024)

Understanding the Weakness of Large Language Model Agents within a Complex Android Environment. - Mingzhe Xing; Rongkai Zhang 005; Hui Xue 004; Qi Chen 009; Fan Yang 024; Zhen Xiao (KDD, 2024)

AnchorMine: An Efficient Graph Pattern Matching System for Specific Vertex Matching. - Dongyang Zhang; Jianhuan Zhuo; Mingzhe Xing; Yinliang Yue; Peng Fu 008; Weiping Wang 005 (MSN, 2024)

SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement. - Pengze Li; Mingxuan Song; Mingzhe Xing; Zhen Xiao; Qiuyu Ding; Shengjie Guan; Jieyi Long (WWW, 2024)

MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation. - Zhifei Yang 004; Keyang Lu; Chao Zhang; Jiaxing Qi; Hanqi Jiang; Ruifei Ma; Shenglin Yin; Yifan Xu; Mingzhe Xing; Zhen Xiao; Jieyi Long; Xiangde Liu; et al. (AAAI, 2025)

OpDiffer: LLM-Assisted Opcode-Level Differential Testing of Ethereum Virtual Machine. - Jie Ma; Ningyu He; Jinwen Xi; Mingzhe Xing; Haoyu Wang 001; Ying Gao 006; Yinliang Yue (Proc. ACM Softw. Eng., 2025)

Using Causality for Enhanced Prediction of Web Traffic Time Series. - Chang Tian; Mingzhe Xing; Zenglin Shi; Matthew B. Blaschko; Yinliang Yue; Marie-Francine Moens (CoRR, 2025)

OpDiffer: LLM-Assisted Opcode-Level Differential Testing of Ethereum Virtual Machine. - Jie Ma; Ningyu He; Jinwen Xi; Mingzhe Xing; Haoyu Wang; Ying Gao; Yinliang Yue (CoRR, 2025)

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence. - Zhicong Li; Hangyu Mao; Jiangjin Yin; Mingzhe Xing; Zhiwei Xu 005; Yuanxing Zhang; Yang Xiao (CoRR, 2025)

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning. - Chang Tian; Matthew B. Blaschko; Mingzhe Xing; Xiuxing Li; Yinliang Yue; Marie-Francine Moens (CoRR, 2025)