基于跳转轨迹的分支目标缓冲研究 (Efficient BTB Based on Taken Trace). - Zhenya Xiong; Zhenghao Lin; Haoqi Ren (计算机科学, 2017)

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. - Shuai Fan 007; Chen Lin 001; Haonan Li 002; Zhenghao Lin; Jinsong Su; Hang Zhang 029; Yeyun Gong; Jian Guo; Nan Duan (EMNLP, 2022)

Personalized User Profiles-based Insider Threat Detection for Distributed File System. - Wu Xin; Qingni Shen; Ke Feng; Yutang Xia; Zhonghai Wu; Zhenghao Lin (TrustCom, 2022)

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model. - Zhenghao Lin; Yeyun Gong; Yelong Shen; Tong Wu; Zhihao Fan; Chen Lin 001; Weizhu Chen; Nan Duan (CoRR, 2022)

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise. - Zhenghao Lin; Yeyun Gong; Yelong Shen; Tong Wu; Zhihao Fan; Chen Lin 001; Nan Duan; Weizhu Chen (ICML, 2023)

PROD: Progressive Distillation for Dense Retrieval. - Zhenghao Lin; Yeyun Gong; Xiao Liu 029; Hang Zhang 029; Chen Lin 001; Anlei Dong; Jian Jiao 007; Jingwen Lu; Daxin Jiang; Rangan Majumder; Nan Duan (WWW, 2023)

On the Evaluation of Generative Models in Distributed Learning Tasks. - Zixiao Wang 001; Farzan Farnia; Zhenghao Lin; Yunheng Shen; Bei Yu 001 (CoRR, 2023)

Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images From a Small Fixed-Wing UAS. - Saket Gowravaram; Haiyang Chao; Zhenghao Lin; Sheena Parsons; Tiebiao Zhao; Ming Xin 001; Xiaolin Hu 002; Pengzhi Tian; Harold Patrick Flanagan; Guanghui Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Competition-Level Problems are Effective LLM Evaluators. - Yiming Huang; Zhenghao Lin; Xiao Liu 029; Yeyun Gong; Shuai Lu; Fangyu Lei; Yaobo Liang; Yelong Shen; Chen Lin 001; Nan Duan; Weizhu Chen (ACL (Findings), 2024)

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. - Xingwei He 003; Zhenghao Lin; Yeyun Gong; A-Long Jin; Hang Zhang 029; Chen Lin 001; Jian Jiao 007; Siu Ming Yiu; Nan Duan; Weizhu Chen (NAACL (Industry Track), 2024)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. - Yi Luo; Zhenghao Lin; Yuhao Zhang; Jiashuo Sun; Chen Lin 001; Chengjin Xu; Xiangdong Su; Yelong Shen; Jian Guo; Yeyun Gong (NAACL-HLT, 2024)

Not All Tokens Are What You Need for Pretraining. - Zhenghao Lin; Zhibin Gou; Yeyun Gong; Xiao Liu 029; Yelong Shen; Ruochen Xu; Chen Lin 001; Yujiu Yang; Jian Jiao 007; Nan Duan; Weizhu Chen (NeurIPS, 2024)

Rho-1: Not All Tokens Are What You Need. - Zhenghao Lin; Zhibin Gou; Yeyun Gong; Xiao Liu 029; Yelong Shen; Ruochen Xu; Chen Lin 001; Yujiu Yang; Jian Jiao 007; Nan Duan; Weizhu Chen (CoRR, 2024)

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation. - Yihang Zheng; Bo Li 026; Zhenghao Lin; Yi Luo; Xuanhe Zhou; Chen Lin 001; Jinsong Su; Guoliang Li 001; Shifu Li (CoRR, 2024)

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems. - You Wu; Mengfang Sun; Hongye Zheng; Jinxin Hu; Yingbin Liang; Zhenghao Lin (CoRR, 2024)

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt. - Pengbin Feng; Yankaiqi Li; Yijiashun Qi; Xiaojun Guo; Zhenghao Lin (CoRR, 2024)

Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs. - Qiwen Wang; Junqi Yang; Zhenghao Lin; Zhenzhe Ying; Weiqiang Wang; Chen Lin (ACL (1), 2025)

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. - Zhenghao Lin; Zihao Tang; Xiao Liu 029; Yeyun Gong; Yi Cheng; Qi Chen 009; Hang Li; Ying Xin; Ziyue Yang; Kailai Yang; Yu Yan; Xiao Liang; et al. (CoRR, 2025)

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction. - Yu Cheng; Zhen Xu; Yuan Chen; Yuhan Wang; Zhenghao Lin; Jinsong Liu (CoRR, 2025)

Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs. - Yi Luo; Qiwen Wang; Junqi Yang; Luyao Tang; Zhenghao Lin; Zhenzhe Ying; Weiqiang Wang; Chen Lin (CoRR, 2025)