Saliency aware image cropping with latent region pair. - Yifei Xu; Wujiang Xu; Mian Wang; Li Li; Genan Sang; Pingping Wei; Li Zhu 003 (Expert Syst. Appl., 2021)

Quantitative Analysis of Metallographic Image Using Attention-Aware Deep Neural Networks. - Yifei Xu; Yuewan Zhang; Meizi Zhang; Mian Wang; Wujiang Xu; Chaoyong Wang; Yan Sun; Pingping Wei (Sensors, 2021)

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. - Wujiang Xu; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Xiaobo Guo; Bing Han; Junchi Yan; Yifei Xu (CoRR, 2022)

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. - Wujiang Xu; Runzhong Wang; Xiaobo Guo; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Zhenfeng Zhu; Junchi Yan (ICASSP, 2023)

Neural Node Matching for Multi-Target Cross Domain Recommendation. - Wujiang Xu; Shaoshuai Li; Mingming Ha; Xiaobo Guo; Qiongxu Ma; Xiaolei Liu; Linxun Chen; Zhenfeng Zhu (ICDE, 2023)

Recursive Multi-Relational Graph Convolutional Network for Automatic Photo Selection. - Wujiang Xu; Yifei Xu; Genan Sang; Li Li; Aichen Wang; Pingping Wei; Li Zhu 003 (IEEE Trans. Multim., 2023)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Taoxuewen; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (NeurIPS, 2024)

Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. - Wujiang Xu; Xuying Ning; Wenfang Lin; Mingming Ha; Qiongxu Ma; Qianqiao Liang; Xuewen Tao; Linxun Chen; Bing Han; Minnan Luo (ECML/PKDD (1), 2024)

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. - Wujiang Xu; Qitian Wu; Runzhong Wang; Mingming Ha; Qiongxu Ma; Linxun Chen; Bing Han 023; Junchi Yan (WWW, 2024)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Xuewen Tao; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (CoRR, 2024)

SLMRec: Empowering Small Language Models for Sequential Recommendation. - Wujiang Xu; Zujie Liang; Jiaojiao Han; Xuying Ning; Wenfang Lin; Linxun Chen; Feng Wei; Yongfeng Zhang (CoRR, 2024)

Information Maximization via Variational Autoencoders for Cross-Domain Recommendation. - Xuying Ning; Wujiang Xu; Xiaolei Liu; Mingming Ha; Qiongxu Ma; Youru Li; Linxun Chen; Yongfeng Zhang (CoRR, 2024)

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction. - Yunxiao Shi; Wujiang Xu; Mingyu Jin; Haimin Zhang 001; Qiang Wu 001; Yongfeng Zhang; Min Xu 001 (CoRR, 2024)

PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence. - Yunxiao Shi; Wujiang Xu; Zeqi Zhang; Xing Zi; Qiang Wu 001; Min Xu 001 (ACL (Findings), 2025)

iAgent: LLM Agent as a Shield between User and Recommender Systems. - Wujiang Xu; Yunxiao Shi; Zujie Liang; Xuying Ning; Kai Mei; Kun Wang; Xi Zhu; Min Xu; Yongfeng Zhang (ACL (Findings), 2025)

From Commands to Prompts: LLM-based Semantic File System for AIOS. - Zeru Shi; Kai Mei; Mingyu Jin; Yongye Su; Chaoji Zuo; Wenyue Hua; Wujiang Xu; Yujie Ren; Zirui Liu 001; Mengnan Du; Dong Deng 001; Yongfeng Zhang (ICLR, 2025)

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation. - Wujiang Xu; Qitian Wu; Zujie Liang; Jiaojiao Han; Xuying Ning; Yunxiao Shi; Wenfang Lin; Yongfeng Zhang (ICLR, 2025)

i2VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation. - Xuying Ning; Wujiang Xu; Tianxin Wei; Xiaolei Liu (UAI, 2025)

APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking. - Can Jin; Hongwu Peng; Shiyu Zhao; Zhenting Wang; Wujiang Xu; Ligong Han; Jiahui Zhao; Kai Zhong; Sanguthevar Rajasekaran; Dimitris N. Metaxas (WWW (Companion Volume), 2025)

Recommender Systems Meet Large Language Model Agents: A Survey. - Xi Zhu; Yu Wang 158; Hang Gao; Wujiang Xu; Chen Wang; Zhiwei Liu 001; Kun Wang 056; Mingyu Jin; Linsey Pang; Qingsong Weng; Philip S. Yu; Yongfeng Zhang (Found. Trends Priv. Secur., 2025)

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. - Mingyu Jin; Kai Mei; Wujiang Xu; Mingjie Sun; Ruixiang Tang; Mengnan Du; Zirui Liu 001; Yongfeng Zhang (CoRR, 2025)

A-MEM: Agentic Memory for LLM Agents. - Wujiang Xu; Zujie Liang; Kai Mei; Hang Gao; Juntao Tan; Yongfeng Zhang (CoRR, 2025)

InstructAgent: Building User Controllable Recommender via LLM Agent. - Wujiang Xu; Yunxiao Shi; Zujie Liang; Xuying Ning; Kai Mei; Kun Wang 056; Xi Zhu; Min Xu; Yongfeng Zhang (CoRR, 2025)

I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search. - Zujie Liang; Feng Wei; Wujiang Xu; Lin Chen; Yuxi Qian; Xinhui Wu (CoRR, 2025)

ECCOS: Efficient Capability and Cost Coordinated Scheduling for Multi-LLM Serving. - Kai Mei; Wujiang Xu; Shuhang Lin; Yongfeng Zhang (CoRR, 2025)

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models. - Xi Zhu; Haochen Xue; Ziwei Zhao; Wujiang Xu; Jingyuan Huang; Minghao Guo; Qifan Wang 001; Kaixiong Zhou; Yongfeng Zhang (CoRR, 2025)

MoralBench: Moral Evaluation of LLMs. - Jianchao Ji; Yutong Chen; Mingyu Jin; Wujiang Xu; Wenyue Hua; Yongfeng Zhang (SIGKDD Explor., 2025)