Jieming Zhu

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 117

Top Venues

CoRR

SIGIR

WWW (Companion Volume)

CIKM

Publications

Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. CoRR (2024)
Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu
Discrete Semantic Tokenization for Deep CTR Prediction. CoRR (2024)
Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu
Vector Quantization for Recommender Systems: A Review and Outlook. CoRR (2024)
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. CoRR (2024)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) (2024)
Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong
Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) (2024)
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD (2024)
Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. CoRR (2024)
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. KDD (2024)
Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
Modeling User Attention in Music Recommendation. ICDE (2024)
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. WWW (Companion Volume) (2024)
Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization. WWW (2024)
Dong Yao, Jieming Zhu, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang
MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer. WWW (Companion Volume) (2024)
Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu
Discrete Semantic Tokenization for Deep CTR Prediction. WWW (Companion Volume) (2024)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
Benchmarking News Recommendation in the Era of Green AI. WWW (Companion Volume) (2024)
Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao
PMG : Personalized Multimodal Generation with Large Language Models. CoRR (2024)
Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming Zhu, Zhenhua Dong, Zhou Zhao
Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment. CoRR (2024)
Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. WWW (Companion Volume) (2024)
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR (2024)
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR (2024)
Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
Exploiting counter-examples for active learning with partial labels. Mach. Learn. 113 (6) (2024)
Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. WWW (Companion Volume) (2024)
Mengqun Jin, Zexuan Qiu, Jieming Zhu, Zhenhua Dong, Xiu Li
Contrastive Quantization based Semantic Code for Generative Recommendation. CoRR (2024)
Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao
PMG : Personalized Multimodal Generation with Large Language Models. WWW (2024)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
Benchmarking News Recommendation in the Era of Green AI. CoRR (2024)
Ye Wang, Jiahao Xun, Mingjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. CoRR (2024)
Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong
Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR (2024)
Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. KDD (2024)
Minghui Fang, Shengpeng Ji, Jialong Zuo, Hai Huang, Yan Xia, Jieming Zhu, Xize Cheng, Xiaoda Yang, Wenrui Liu, Gang Wang, Zhenhua Dong, Zhou Zhao
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling. CoRR (2024)
Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu
DisCover: Disentangled Music Representation Learning for Cover Song Identification. CoRR (2023)
Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang
Ten Challenges in Industrial Recommender Systems. CoRR (2023)
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
FINAL: Factorized Interaction Layer for CTR Prediction. SIGIR (2023)
Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li
Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction. CoRR (2023)
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys (2023)
Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
Exploiting Counter-Examples for Active Learning with Partial labels. CoRR (2023)
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu
A Large-scale Benchmark for Log Parsing. CoRR (2023)
Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu
DisCover: Disentangled Music Representation Learning for Cover Song Identification. SIGIR (2023)
Haoyi Duan, Yan Xia, Mingze Zhou, Li Tang, Jieming Zhu, Zhou Zhao
Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks. NeurIPS (2023)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. CoRR (2023)
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR (2023)
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. CoRR (2023)
Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu
Co-evolving Vector Quantization for ID-based Recommendation. CoRR (2023)
Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Wenqiao Zhang, Rui Zhang, Xiaofei He, Fei Wu
Denoising Multi-modal Sequential Recommenders with Contrastive Learning. CoRR (2023)
Yan Xia, Hai Huang, Jieming Zhu, Zhou Zhao
Achieving Cross Modal Generalization with Multimodal Unified Representation. NeurIPS (2023)
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI (2023)
Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang
Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast. CoRR (2023)
Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. WWW (2023)
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. KDD (2023)
Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. ISSRE (2023)
Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. CoRR (2023)
Haoyi Duan, Yan Xia, Mingze Zhou, Li Tang, Jieming Zhu, Zhou Zhao
Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks. CoRR (2023)
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. SIGIR (2023)
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. CoRR (2023)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
Only Encode Once: Making Content-based News Recommender Greener. CoRR (2023)
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
BARS: Towards Open Benchmarking for Recommender Systems. CoRR (2022)
Lichao Zhang, Ruiqi Li, Shoutong Wang, Liqun Deng, Jinglin Liu, Yi Ren, Jinzheng He, Rongjie Huang, Jieming Zhu, Xiao Chen, Zhou Zhao
M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus. NeurIPS (2022)
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. WWW (Companion Volume) (2022)
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Multi-Level Interaction Reranking with User Behavior History. CoRR (2022)
Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. CVPR (2022)
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
BARS: Towards Open Benchmarking for Recommender Systems. SIGIR (2022)
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. CoRR (2022)
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR (2022)
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR (2022)
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Multi-Level Interaction Reranking with User Behavior History. SIGIR (2022)
Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM (2022)
Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu
MINER: Multi-Interest Matching Network for News Recommendation. ACL (Findings) (2022)
Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. CoRR (2022)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation. COLING (2022)
Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. CoRR (2022)
Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. WWW (2022)
Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu
Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia (2021)
Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). AAAI (2021)
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
Open Benchmarking for Click-Through Rate Prediction. CIKM (2021)
Jinpeng Wang, Jieming Zhu, Xiuqiang He
Cross-Batch Negative Sampling for Training Two-Tower Recommenders. SIGIR (2021)
Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu
RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. SIGIR (2021)
Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang
Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval. SIGIR (2021)
Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. CoRR (2021)
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR (2021)
Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback. CoRR (2021)
Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CIKM (2021)
Weike Jin, Zhou Zhao, Xiaochun Cao, Jieming Zhu, Xiuqiang He, Yueting Zhuang
Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA. IEEE Trans. Image Process. 30 (2021)
Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CoRR (2021)
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM (2021)
Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He
UNBERT: User-News Matching BERT for News Recommendation. IJCAI (2021)
Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu
Why Do We Click: Visual Impression-aware News Recommendation. CoRR (2021)
Jinpeng Wang, Jieming Zhu, Xiuqiang He
Cross-Batch Negative Sampling for Training Two-Tower Recommenders. CoRR (2021)
Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. IEEE Access 9 (2021)
Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
Ensembled CTR Prediction via Knowledge Distillation. CIKM (2020)
Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding. NeurIPS (2020)
Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng
Directional Adversarial Training for Recommender Systems. ECAI (2020)
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. CoRR (2020)
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. CoRR (2020)
Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. CoRR (2020)
Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. ACM Multimedia (2020)
Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
Ensembled CTR Prediction via Knowledge Distillation. CoRR (2020)
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics. CoRR (2020)
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. SIGIR (2020)
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. ASE (2019)
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. CoRR (2019)
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
Tools and benchmarks for automated log parsing. ICSE (SEIP) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jieming Zhu