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 Arxiv 2024.

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

Multimodal Pretraining and Generation for Recommendation: A Tutorial, Jieming Zhu, Xin Zhou, 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.

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.

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.

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 RecSys-DLP 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 RecSys-DLP 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.

BARS-CTR: 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.

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.

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.

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

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

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