Jieming Zhu

45 papers at tracked venues · 32 at CORE A* · active 2024–2026

Venues

WWW ×12 SIGKDD ×8 RecSys ×4 AAAI ×3 ACL ×3 NeurIPS ×3 CIKM ×2 EMNLP ×2 InterSpeech ×2 ACM MM ×1 CVPR ×1 ICDE ×1 IJCAI ×1 ISSTA ×1 WACV ×1

Frequent coauthors

Zhenhua Dong

×22

Zhaocheng Du

×11

Zhou Zhao

×11

Qijiong Liu

×8

Quanyu Dai

×8

Rui Zhang

×7

Yan Xia

×6

Xiao-Ming Wu

×6

Ruiming Tang

×5

Guohao Cai

×5

Qinglin Jia

×4

Jinpeng Wang

×4

Papers

FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction
SIGKDD 2026 ·
Honghao Li
,
Yiwen Zhang
,
Yi Zhang
,
Hanwei Li
,
Lei Sang
, Jieming Zhu
FairFS: Addressing Deep Feature Selection Biases for Recommender System
WWW 2026 ·
Xianquan Wang
,
Zhaocheng Du
, Jieming Zhu,
Qinglin Jia
,
Zhenhua Dong
,
Kai Zhang
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
AAAI 2026 ·
Zhicheng Zhang
,
Zhaocheng Du
, Jieming Zhu,
Jiwei Tang
,
Fengyuan Lu
,
Wang Jiaheng
,
Song-Li Wu
,
Qianhui Zhu
,
Jingyu Li
,
Hai-Tao Zheng
,
Zhenhua Dong
Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval
AAAI 2026 ·
Guanghao Meng
,
Jinpeng Wang
, Jieming Zhu,
Letian Zhang
,
Yong Jiang
,
Dan Zhao
,
Qing Li
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
SIGKDD 2025 ·
Rong Shan
,
Jianghao Lin
,
Chenxu Zhu
,
Bo Chen
,
Menghui Zhu
,
Kangning Zhang
, Jieming Zhu,
Ruiming Tang
,
Yong Yu
,
Weinan Zhang
CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling
ACL 2025 ·
Minghui Fang
,
Shengpeng Ji
,
Jialong Zuo
,
Hai Huang
,
Yan Xia
, Jieming Zhu,
Xize Cheng
,
Xiaoda Yang
,
Wenrui Liu
,
Gang Wang
,
Zhenhua Dong
,
Zhou Zhao
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
ACM MM 2025 ·
Tianqi Liu
,
Kairui Fu
,
Shengyu Zhang
,
Wenyan Fan
,
Zhaocheng Du
, Jieming Zhu,
Fan Wu
,
Fei Wu
Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
NeurIPS 2025 ·
Qijiong Liu
, Jieming Zhu,
Lu Fan
,
Kun Wang
,
Hengchang Hu
,
Wei Guo
,
Yong Liu
,
Xiao-Ming Wu
Device-Cloud Collaborative Correction for On-Device Recommendation
IJCAI 2025 ·
Tianyu Zhan
,
Shengyu Zhang
,
Zheqi Lv
, Jieming Zhu,
Jiwei Li
,
Fan Wu
,
Fei Wu
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
WWW 2025 ·
Minjie Hong
,
Yan Xia
,
Zehan Wang
, Jieming Zhu,
Ye Wang
,
Sihang Cai
,
Xiaoda Yang
,
Quanyu Dai
,
Zhenhua Dong
,
Zhimeng Zhang
,
Zhou Zhao
Enhancing Multimodal Unified Representations for Cross Modal Generalization
ACL 2025 ·
Hai Huang
,
Yan Xia
,
Shengpeng Ji
,
Shulei Wang
,
Hanting Wang
,
Minghui Fang
, Jieming Zhu,
Zhenhua Dong
,
Sashuai Zhou
,
Zhou Zhao
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
AAAI 2025 ·
Guanghao Meng
,
Sunan He
,
Jinpeng Wang
,
Tao Dai
,
Letian Zhang
, Jieming Zhu,
Qing Li
,
Gang Wang
,
Rui Zhang
,
Yong Jiang
GTA: Towards Generative Text-To-Audio Retrieval via Multi-Scale Tokenizer
InterSpeech 2025 ·
Minghui Fang
,
Shengpeng Ji
,
Jialong Zuo
,
Xize Cheng
,
Wenrui Liu
,
Xiaoda Yang
,
Ruofan Hu
, Jieming Zhu,
Zhou Zhao
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
EMNLP 2025 ·
Zhipeng Bian
, Jieming Zhu,
Qijiong Liu
,
Wang Lin
,
Guohao Cai
,
Zhaocheng Du
,
Jiacheng Sun
,
Zhou Zhao
,
Zhenhua Dong
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
WWW 2025 ·
Quanyu Dai
,
Jiaren Xiao
,
Zhaocheng Du
, Jieming Zhu,
Chengxiao Luo
,
Xiao-Ming Wu
,
Zhenhua Dong
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
ACL 2025 ·
Zhipeng Bian
, Jieming Zhu,
Xuyang Xie
,
Quanyu Dai
,
Zhou Zhao
,
Zhenhua Dong
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
NeurIPS 2025 ·
Zeyu Zhang
,
Quanyu Dai
,
Luyu Chen
,
Zeren Jiang
,
Rui Li
, Jieming Zhu,
Xu Chen
,
Yi Xie
,
Zhenhua Dong
,
Ji-Rong Wen
Personalized Visual Content Generation in Conversational Systems
NeurIPS 2025 ·
Xianquan Wang
,
Zhaocheng Du
,
Huibo Xu
,
Shukang Yin
,
Yupeng Han
, Jieming Zhu,
Kai Zhang
,
Qi Liu
ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences
SIGKDD 2025 ·
Xingyu Lu
,
Jinpeng Wang
, Jieming Zhu,
Zhicheng Zhang
,
Deqing Zou
,
Hai-Tao Zheng
,
Shu-Tao Xia
,
Rui Zhang
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
EMNLP 2025 ·
Sashuai Zhou
,
Weinan Gan
,
Qijiong Liu
,
Ke Lei
, Jieming Zhu,
Hai Huang
,
Yan Xia
,
Ruiming Tang
,
Zhenhua Dong
,
Zhou Zhao
Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction
SIGKDD 2025 ·
Honghao Li
,
Yiwen Zhang
,
Yi Zhang
,
Lei Sang
, Jieming Zhu
TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems
SIGKDD 2025 ·
Xianquan Wang
,
Zhaocheng Du
, Jieming Zhu,
Chuhan Wu
,
Qinglin Jia
,
Zhenhua Dong
Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
CVPR 2025 ·
Shulei Wang
,
Wang Lin
,
Hai Huang
,
Hanting Wang
,
Sihang Cai
,
WenKang Han
,
Tao Jin
,
Jingyuan Chen
,
Jiacheng Sun
, Jieming Zhu,
Zhou Zhao
Unsupervised Domain Adaptive Visual Question Answering in the Era of Multi-Modal Large Language Models
WACV 2025 ·
Weixi Weng
,
Rui Zhang
,
Xiaojun Meng
, Jieming Zhu,
Qun Liu
,
Chun Yuan
Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval
InterSpeech 2025 ·
Ruofan Hu
,
Yan Xia
,
Minjie Hong
, Jieming Zhu,
Bo Chen
,
Xiaoda Yang
,
Minghui Fang
,
Tao Jin
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
ISSTA 2024 ·
Zhihan Jiang
,
Jinyang Liu
,
Junjie Huang
,
Yichen Li
,
Yintong Huo
,
Jiazhen Gu
,
Zhuangbin Chen
, Jieming Zhu,
Michael R. Lyu
A Tutorial on Feature Interpretation in Recommender Systems
RecSys 2024 ·
Zhaocheng Du
,
Chuhan Wu
,
Qinglin Jia
, Jieming Zhu,
Xu Chen
Benchmarking News Recommendation in the Era of Green AI
WWW 2024 ·
Qijiong Liu
, Jieming Zhu,
Quanyu Dai
,
Xiao-Ming Wu
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
RecSys 2024 · Jieming Zhu,
Mengqun Jin
,
Qijiong Liu
,
Zexuan Qiu
,
Zhenhua Dong
,
Xiu Li
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
SIGKDD 2024 ·
Haiyuan Zhao
,
Guohao Cai
, Jieming Zhu,
Zhenhua Dong
,
Jun Xu
,
Ji-Rong Wen
Discrete Semantic Tokenization for Deep CTR Prediction
WWW 2024 ·
Qijiong Liu
,
Hengchang Hu
,
Jiahao Wu
, Jieming Zhu,
Min-Yen Kan
,
Xiao-Ming Wu
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
SIGKDD 2024 ·
Ye Wang
,
Jiahao Xun
,
Minjie Hong
, Jieming Zhu,
Tao Jin
,
Wang Lin
,
Haoyuan Li
,
Linjun Li
,
Yan Xia
,
Zhou Zhao
,
Zhenhua Dong
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction
CIKM 2024 ·
Zexuan Qiu
, Jieming Zhu,
Yankai Chen
,
Guohao Cai
,
Weiwen Liu
,
Zhenhua Dong
,
Irwin King
Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling
RecSys 2024 ·
Qi Zhang
, Jieming Zhu,
Jiansheng Sun
,
Guohao Cai
,
Ruining Yu
,
Bangzheng He
,
Liangbi Li
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
WWW 2024 ·
Qijiong Liu
,
Jiaren Xiao
,
Lu Fan
, Jieming Zhu,
Xiao-Ming Wu
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity
WWW 2024 ·
Zhaocheng Du
,
Junhao Chen
,
Qinglin Jia
,
Chuhan Wu
, Jieming Zhu,
Zhenhua Dong
,
Ruiming Tang
MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer
WWW 2024 ·
Dong Yao
, Jieming Zhu,
Jiahao Xun
,
Shengyu Zhang
,
Zhou Zhao
,
Liqun Deng
,
Wenqiao Zhang
,
Zhenhua Dong
,
Xin Jiang
Modeling User Attention in Music Recommendation
ICDE 2024 ·
Sunhao Dai
,
Ninglu Shao
, Jieming Zhu,
Xiao Zhang
,
Zhenhua Dong
,
Jun Xu
,
Quanyu Dai
,
Ji-Rong Wen
Multimodal Pretraining and Generation for Recommendation: A Tutorial
WWW 2024 · Jieming Zhu,
Xin Zhou
,
Chuhan Wu
,
Rui Zhang
,
Zhenhua Dong
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
SIGKDD 2024 ·
Qijiong Liu
, Jieming Zhu,
Yanting Yang
,
Quanyu Dai
,
Zhaocheng Du
,
Xiao-Ming Wu
,
Zhou Zhao
,
Rui Zhang
,
Zhenhua Dong
PMG : Personalized Multimodal Generation with Large Language Models
WWW 2024 ·
Xiaoteng Shen
,
Rui Zhang
,
Xiaoyan Zhao
, Jieming Zhu,
Xi Xiao
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
WWW 2024 ·
Yushen Li
,
Jinpeng Wang
,
Tao Dai
, Jieming Zhu,
Jun Yuan
,
Rui Zhang
,
Shu-Tao Xia
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
WWW 2024 ·
Junjie Huang
,
Guohao Cai
, Jieming Zhu,
Zhenhua Dong
,
Ruiming Tang
,
Weinan Zhang
,
Yong Yu
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
RecSys 2024 ·
Yunjia Xi
,
Weiwen Liu
,
Jianghao Lin
,
Xiaoling Cai
,
Hong Zhu
, Jieming Zhu,
Bo Chen
,
Ruiming Tang
,
Weinan Zhang
,
Yong Yu
UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning
CIKM 2024 ·
Boqi Dai
,
Zhaocheng Du
, Jieming Zhu,
Jintao Xu
,
Deqing Zou
,
Quanyu Dai
,
Zhenhua Dong
,
Rui Zhang
,
Hai-Tao Zheng