UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration, Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu^#, Zhenhua Dong, Rui Zhang, Ruixuan Li. In TOIS 2025.

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. In TOIS 2025.

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. In NeurIPS 2025.

Personalized Visual Content Generation in Conversational Systems, Xianquan Wang, Zhaocheng Du, Huibo Xu, Shukang Yin, Yupeng Han, Jieming Zhu, Kai Zhang, Qi Liu. In NeurIPS 2025.

Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders, Qijiong Liu, Jieming Zhu^#, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu. In NeurIPS 2025.

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation, Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu^✉, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao^✉. In EMNLP 2025.

ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment, Zhipeng Bian, Jieming Zhu^✉, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong. In EMNLP 2025.

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration, Tianqi Liu, Kairui Fu, Shengyu Zhang, Wenyan Fan, Zhaocheng Du, Jieming Zhu, Fan Wu, Fei Wu. In MM 2025.

MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation, Zhipeng Bian, Jieming Zhu^✉, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong. In ACL 2025.

CART: 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^✉. In ACL Findings 2025.

Enhancing Multimodal Unified Representations for Cross Modal Generalization, Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Minghui Fang, Jieming Zhu^#, Zhenhua Dong, Sashuai zhou, Zhou Zhao. In ACL 2025.

Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction, Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Jieming Zhu. In KDD 2025.

An Automatic Graph Construction Framework based on Large Language Models for Recommendation, Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang. In KDD 2025.

ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences, Xingyu Lu, Jinpeng Wang, Jieming Zhu^✉, Zhicheng Zhang, Deqing Zou, Hai-Tao Zheng^✉, Shu-Tao Xia, Rui Zhang. In KDD 2025.

TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems, Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong. In KDD 2025.

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration, Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu^#, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao. In WWW 2025.

MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising, Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong. In WWW 2025.

Towards Transformer-Based Aligned Generation with Self-Coherence Guidance, Shulei Wang, Wang Lin, Hai Huang, Hanting Wang, Sihang Cai, WenKang Han, Tao Jin, Jingyuan Chen, Jiacheng Sun, Jieming Zhu, Zhou Zhao. In CVPR 2025.

Unsupervised Domain Adaptive Visual Question Answering in the Era of Multi-modal Large Language Models, Weixi Weng, Rui Zhang, Xiaojun Meng, Jieming Zhu, Qun Liu, Chun Yuan. In WACV 2025.

GTA: Towards Generative Text-To-Audio Retrieval via Multi-Scale Tokenizer, Minghui Fang, Shengpeng Ji, Jialong Zuo, Xize Cheng, Wenrui Liu, Xiaoda Yang, Ruofan Hu, Jieming Zhu, Zhou Zhao. In Interspeech 2025.

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval, Ruofan Hu, Yan Xia, Minjie Hong, Jieming Zhu^#, Bo Chen, Xiaoda Yang, Minghui Fang, Tao Jin. In Interspeech 2025.

Device-Cloud Collaborative Correction for On-Device Recommendation, Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu. In IJCAI 2025.

EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models, GuangHao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu^#, Qing Li, Gang Wang, Rui Zhang, Yong Jiang. In AAAI 2025.

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. In ACM Transactions on Recommender Systems (TORS), 2025.

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. In CIKM 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, Hai-Tao Zheng^✉, Rui Zhang. In CIKM 2024.

A Tutorial on Feature Interpretation in Recommender Systems, Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen. In RecSys 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. In RecSys Challenge Workshop 2024.

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation, Jieming Zhu^*, Mengqun Jin^*, Qijiong Liu, Zexuan Qiu, Zhenhua Dong and Xiu Li. In RecSys 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, Rui Zhang, Yong Yu. In RecSys 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. In KDD 2024.

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time, Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen. In KDD 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. In KDD 2024.

Multimodal Pretraining and Generation for Recommendation: A Tutorial, Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong. In WWW 2024.

PMG: Personalized Multimodal Generation with Large Language Models, Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu^#, Xi Xiao. In WWW 2024.

Discrete Semantic Tokenization for Deep CTR Prediction, Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu^#, Min-Yen Kan, Xiao-Ming Wu. In WWW 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. In WWW 2024.

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity, Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang. In WWW 2024.

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction, Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu^✉, Yuan Jun, Rui Zhang, Shu-Tao Xia. In WWW 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. In WWW 2024.

Benchmarking News Recommendation in the Era of Green AI, Qijiong Liu^*, Jieming Zhu^*, Quanyu Dai, Xiao-Ming Wu. In WWW 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. In WWW 2024.

Modeling User Attention in Music Recommendation, Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen. In ICDE 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. In PAKDD 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. In ISSTA 2024.

FINAL: Factorized Interaction Layer for CTR Prediction, Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang. In SIGIR 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. In SIGIR 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. In SIGIR 2023.

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop, Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang. In KDD 2023.

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction, Kelong Mao^*, Jieming Zhu^*✉, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong. In AAAI 2023.

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation, Qijiong Liu, Jieming Zhu^#, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu. In WWW 2023.

Achieving Cross Modal Generalization with Multimodal Unified Representation, Yan Xia, Hai Huang, Jieming Zhu^#, Zhou Zhao. In NeurIPS 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. In NeurIPS 2023.

Data-free Knowledge Distillation for Reusing Recommendation Models, Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang. In RecSys 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. In DLP-RecSys 2023. [Best Paper Award]

Making the Full Model Adaptive: Multi-level Domain Adaptation for Multi-Domain CTR Prediction, Qi Zhang, Chuhan Wu, Jieming Zhu, Jingjie Li, Qinglin Jia, Ruiming Tang, Rui Zhang, Liangbi Li. In DLP-RecSys 2023.

Ten Challenges in Industrial Recommender Systems, Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang. In DLP-RecSys 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. In ISSRE 2023.

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems, Guohao Cai^*, Jieming Zhu^*, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang. In SIGIR 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. In SIGIR 2022.

BARS: Towards Open Benchmarking for Recommender Systems, Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang. In SIGIR 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. In ACL 2022.

Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation, Qijiong Liu, Jieming Zhu^#, Quanyu Dai, Xiaoming Wu. In COLING 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. In CIKM 2022.

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation, Yi Li^*, Jieming Zhu^*, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang. In WWW 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. In WWW 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. In CVPR 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. In NeurIPS 2022.

UNBERT: User-News Matching BERT for News Recommendation, Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He. In IJCAI 2021.

RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT, Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu. In SIGIR 2021.

Cross-Batch Negative Sampling for Training Two-Tower Recommenders, Jinpeng Wang, Jieming Zhu^#, Xiuqiang He. In SIGIR 2021.

Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval, Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang. In SIGIR 2021.

Open Benchmarking for Click-Through Rate Prediction, Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He. In CIKM 2021.

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation, Kelong Mao, Jieming Zhu^#, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He. In CIKM 2021. [Most Influential CIKM Papers by Paper Digest]

SimpleX: A Simple and Strong Baseline for Collaborative Filtering, Kelong Mao^*, Jieming Zhu^*, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He. In CIKM 2021. [Most Influential CIKM Papers by Paper Digest]

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. In MM 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. In AAAI 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.

Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA, Weike Jin, Zhou Zhao, Xiaochun Cao, Jieming Zhu, Xiuqiang He, Yueting Zhuang. IEEE Transactions on Image Processing, 2021.

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach, Kelong Mao, Xi Xiao, Jieming Zhu^#, Biao Lu, Ruiming Tang, Xiuqiang He. In SIGIR 2020.

Ensembled CTR Prediction via Knowledge Distillation, Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng. In CIKM 2020.

Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding, Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He. In NeurIPS 2020.

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos, Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He. In MM 2020.

Directional Adversarial Training for Recommender Systems, Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng. In ECAI 2020.

Tools and Benchmarks for Automated Log Parsing, Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu. In ICSE 2019.

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression, Jinyang Liu, Jieming Zhu^#, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu. In ASE 2019.

Towards Automated Log Parsing for Large-scale Log Data Analysis, Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R Lyu. In TDSC 2018.

Detecting Duplicate Bug Reports with Convolutional Neural Networks, Qi Xie, Zhiyuan Wen, Jieming Zhu, Cuiyun Gao, Zibin Zheng. In APSEC 2018.

Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization, Jieming Zhu, Pinjia He, Zibin Zheng, Michael R Lyu. In TPDS 2017.

Drain: An Online Log Parsing Approach with Fixed Depth Tree, Pinjia He, Jieming Zhu^#, Zibin Zheng, Michael R. Lyu. In ICWS 2017.

CARP: Context-Aware Reliability Prediction of Black-Box Web Services, Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R Lyu. In ICWS 2017.

IntelliAd: Assisting Mobile App Developers in Measuring Ad Costs Automatically, Cuiyun Gao, Yichuan Man, Hui Xu, Jieming Zhu, Yangfan Zhou, Michael R Lyu. In ICSE 2017.

Software Defect Prediction via Convolutional Neural Network, Jian Li, Pinjia He, Jieming Zhu, Michael R Lyu. In QRS 2017.

Experience Report: System Log Analysis for Anomaly Detection, Shilin He, Jieming Zhu^#, Pinjia He, Michael R. Lyu. In ISSRE 2016.

An Evaluation Study on Log Parsing and Its Use in Log Mining, Pinjia He, Jieming Zhu^#, Shilin He, Jian Li, Michael R Lyu. In DSN 2016.

Asymmetric Correlation Regularized Matrix Factorization for Web Service Recommendation, Qi Xie, Shenglin Zhao, Zibin Zheng, Jieming Zhu, Michael R Lyu. In ICWS 2016.

Learning to Log: Helping Developers Make Informed Logging Decisions, Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang. In ICSE 2015.

A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation, Jieming Zhu, Pinjia He, Zibin Zheng, Michael R Lyu. In ICWS 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. In ISSRE 2015.

Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation, Jieming Zhu, Pinjia He, Zibin Zheng, Michael R Lyu. In ICDCS 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. In ICSE 2014.

Location-based Hierarchical Matrix Factorization for Web Service Recommendation, Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R Lyu. In ICWS 2014.

A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction, Pinjia He, Jieming Zhu, Jianlong Xu, Michael R Lyu. In SOSE 2014.

DR2: Dynamic Request Routing for Tolerating Latency Variability in Online Cloud Applications, Jieming Zhu, Zibin Zheng, Michael R Lyu. In CLOUD 2013.

Service-generated Big Data and Big Data-as-a-Service: An Overview, Zibin Zheng, Jieming Zhu, Michael R Lyu. In BigData 2013.

Scaling Service-oriented Applications into Geo-distributed Clouds, Jieming Zhu, Zibin Zheng, Yangfan Zhou, Michael R Lyu. In SOSE 2013.

WSP: A Network Coordinate based Web Service Positioning Framework for Response Time Prediction, Jieming Zhu, Yu Kang, Zibin Zheng, Michael R Lyu. In ICWS 2012.

A Clustering-based QoS Prediction Approach for Web Service Recommendation, Jieming Zhu, Yu Kang, Zibin Zheng, Michael R Lyu. In ISORCW 2012.

Developing a Voice Control System for ZigBee-based Home Automation Networks, Jieming Zhu, Xuecai Gao, Yucang Yang, Hang Li, Zhati Ai, Xiaoyan Cui. In ICNIDC 2010.

A Novel Localization Algorithm based on Concentric Circles and Concentric Spheres for Wireless Sensor Networks, Hang Li, Shan Fu, Jieming Zhu, Yu Xiao, Xiaoyan Cui. In ICEIT 2010.