Jieming Zhu

According to our database, Jieming Zhu authored at least 112 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploiting counter-examples for active learning with partial labels.

Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han

Mach. Learn., June, 2024

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants.

Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen

CoRR, 2024

Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering.

Weixi Weng, Jieming Zhu, Hao Zhang, Xiaojun Meng, Rui Zhang, Chun Yuan

CoRR, 2024

STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM.

Qijiong Liu, Jieming Zhu, Lu Fan, Zhou Zhao, Xiao-Ming Wu

CoRR, 2024

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation.

Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling.

Minghui Fang, Shengpeng Ji, Jialong Zuo, Hai Huang, Yan Xia, Jieming Zhu, Xize Cheng, Xiaoda Yang, Wenrui Liu, Gang Wang, Zhenhua Dong, Zhou Zhao

CoRR, 2024

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.

Ye Wang, Jiahao Xun, Mingjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong

CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.

Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong

CoRR, 2024

Vector Quantization for Recommender Systems: A Review and Outlook.

Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu

CoRR, 2024

Contrastive Quantization based Semantic Code for Generative Recommendation.

Mengqun Jin, Zexuan Qiu, Jieming Zhu, Zhenhua Dong, Xiu Li

CoRR, 2024

A Survey on the Memory Mechanism of Large Language Model based Agents.

Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen

CoRR, 2024

Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment.

Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming Zhu, Zhenhua Dong, Zhou Zhao

CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.

Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer.

Dong Yao, Jieming Zhu, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

PMG : Personalized Multimodal Generation with Large Language Models.

Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao

Proceedings of the ACM on Web Conference 2024, 2024

Benchmarking News Recommendation in the Era of Green AI.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization.

Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu

Proceedings of the ACM on Web Conference 2024, 2024

Discrete Semantic Tokenization for Deep CTR Prediction.

Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction.

Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.

Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.

Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation.

Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling.

Qi Zhang, Jieming Zhu, Jiansheng Sun, Guohao Cai, Ruining Yu, Bangzheng He, Liangbi Li

Proceedings of the Recommender Systems Challenge 2024, 2024

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Tutorial on Feature Interpretation in Recommender Systems.

Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multi-sourced Integrated Ranking with Exposure Fairness.

Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time.

Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.

Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.

Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?

Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Modeling User Attention in Music Recommendation.

Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction.

Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.

Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast.

Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang

CoRR, 2023

Ten Challenges in Industrial Recommender Systems.

Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang

CoRR, 2023

Co-evolving Vector Quantization for ID-based Recommendation.

Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu

CoRR, 2023

Only Encode Once: Making Content-based News Recommender Greener.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu

CoRR, 2023

A Large-scale Benchmark for Log Parsing.

Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu

CoRR, 2023

Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction.

Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li

CoRR, 2023

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

CoRR, 2023

Denoising Multi-modal Sequential Recommenders with Contrastive Learning.

Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Wenqiao Zhang, Rui Zhang, Xiaofei He, Fei Wu

CoRR, 2023

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.

Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu

Proceedings of the ACM Web Conference 2023, 2023

FINAL: Factorized Interaction Layer for CTR Prediction.

Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DisCover: Disentangled Music Representation Learning for Cover Song Identification.

Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.

Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Data-free Knowledge Distillation for Reusing Recommendation Models.

Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Achieving Cross Modal Generalization with Multimodal Unified Representation.

Yan Xia, Hai Huang, Jieming Zhu, Zhou Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks.

Haoyi Duan, Yan Xia, Mingze Zhou, Li Tang, Jieming Zhu, Zhou Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.

Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics.

Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.

Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation.

Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu

CoRR, 2022

Contrastive Learning with Positive-Negative Frame Mask for Music Representation.

Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.

Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

BARS: Towards Open Benchmarking for Recommender Systems.

Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-Level Interaction Reranking with User Behavior History.

Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.

Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus.

Lichao Zhang, Ruiqi Li, Shoutong Wang, Liqun Deng, Jinglin Liu, Yi Ren, Jinzheng He, Rongjie Huang, Jieming Zhu, Xiao Chen, Zhou Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks.

Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

LCD: Adaptive Label Correction for Denoising Music Recommendation.

Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MINER: Multi-Interest Matching Network for News Recommendation.

Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA.

Weike Jin, Zhou Zhao, Xiaochun Cao, Jieming Zhu, Xiuqiang He, Yueting Zhuang

IEEE Trans. Image Process., 2021

Modeling High-order Interactions across Multi-interests for Micro-video Reommendation.

Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu

CoRR, 2021

QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback.

Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu

IEEE Access, 2021

Cross-Batch Negative Sampling for Training Two-Tower Recommenders.

Jinpeng Wang, Jieming Zhu, Xiuqiang He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval.

Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT.

Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Why Do We Click: Visual Impression-aware News Recommendation.

Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

UNBERT: User-News Matching BERT for News Recommendation.

Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Open Benchmarking for Click-Through Rate Prediction.

Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation.

Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SimpleX: A Simple and Strong Baseline for Collaborative Filtering.

Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract).

Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

FuxiCTR: An Open Benchmark for Click-Through Rate Prediction.

Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He

CoRR, 2020

Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics.

Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu

CoRR, 2020

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.

Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding.

Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos.

Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Directional Adversarial Training for Recommender Systems.

Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Ensembled CTR Prediction via Knowledge Distillation.

Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression.

Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Tools and benchmarks for automated log parsing.

Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

2018

Towards Automated Log Parsing for Large-Scale Log Data Analysis.

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu

IEEE Trans. Dependable Secur. Comput., 2018

A Directed Acyclic Graph Approach to Online Log Parsing.

Pinjia He, Jieming Zhu, Pengcheng Xu, Zibin Zheng, Michael R. Lyu

CoRR, 2018

Detecting Duplicate Bug Reports with Convolutional Neural Networks.

Qi Xie, Zhiyuan Wen, Jieming Zhu, Cuiyun Gao, Zibin Zheng

Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017

Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization.

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu

IEEE Trans. Parallel Distributed Syst., 2017

Software Defect Prediction via Convolutional Neural Network.

Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

CARP: Context-Aware Reliability Prediction of Black-Box Web Services.

Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Drain: An Online Log Parsing Approach with Fixed Depth Tree.

Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

IntelliAd: assisting mobile app developers in measuring ad costs automatically.

Cuiyun Gao, Yichuan Man, Hui Xu, Jieming Zhu, Yangfan Zhou, Michael R. Lyu

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

Experience Report: System Log Analysis for Anomaly Detection.

Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

Asymmetric Correlation Regularized Matrix Factorization for Web Service Recommendation.

Qi Xie, Shenglin Zhao, Zibin Zheng, Jieming Zhu, Michael R. Lyu

Proceedings of the IEEE International Conference on Web Services, 2016

An Evaluation Study on Log Parsing and Its Use in Log Mining.

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu

Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

2015

Context-Aware Reliability Prediction of Black-Box Services.

Jieming Zhu, Zibin Zheng, Michael R. Lyu

CoRR, 2015

PAID: Prioritizing app issues for developers by tracking user reviews over versions.

Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, Michael R. Lyu

Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation.

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Learning to Log: Helping Developers Make Informed Logging Decisions.

Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction.

Pinjia He, Jieming Zhu, Jianlong Xu, Michael R. Lyu

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

Location-Based Hierarchical Matrix Factorization for Web Service Recommendation.

Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R. Lyu

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Where do developers log? an empirical study on logging practices in industry.

Qiang Fu, Jieming Zhu, Wenlu Hu, Jian-Guang Lou, Rui Ding, Qingwei Lin, Dongmei Zhang, Tao Xie

Proceedings of the 36th International Conference on Software Engineering, 2014

Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation.

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu

Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

2013

Scaling Service-Oriented Applications into Geo-distributed Clouds.

Jieming Zhu, Zibin Zheng, Yangfan Zhou, Michael R. Lyu

Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

Service-Generated Big Data and Big Data-as-a-Service: An Overview.

Zibin Zheng, Jieming Zhu, Michael R. Lyu

Proceedings of the IEEE International Congress on Big Data, 2013

DR2: Dynamic Request Routing for Tolerating Latency Variability in Online Cloud Applications.

Jieming Zhu, Zibin Zheng, Michael R. Lyu

Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012

A Clustering-Based QoS Prediction Approach for Web Service Recommendation.

Jieming Zhu, Yu Kang, Zibin Zheng, Michael R. Lyu

Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, 2012

WSP: A Network Coordinate Based Web Service Positioning Framework for Response Time Prediction.

Jieming Zhu, Yu Kang, Zibin Zheng, Michael R. Lyu

Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

1992

The First Phase of Real-World Discovery: Determining Repeatability and Error of Experiments.

Jan M. Zytkow, Jieming Zhu, Robert Zembowicz

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

Operational Definition Refinement: A Discovery Process.

Jan M. Zytkow, Jieming Zhu, Robert Zembowicz

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Panel: Application of Empirical Discovery in Knowledge Acquisition.

Jan M. Zytkow, Jieming Zhu

Proceedings of the Machine Learning, 1991

1990

Automated Discovery in a Chemistry Laboratory.

Jan M. Zytkow, Jieming Zhu, Abul Hussam

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990