孙培杰｜南京邮电大学｜学者主页

2026

协同信号增强的大模型用户画像生成与推荐

郭世圆，汪佳茵，孙培杰，张敏

《智能系统学报》

2026

PRISM: Personalized Recommendation via Information Synergy Module

Yu-Tong Li, Xin-Yi Zhang, Peijie Sun, Letian Sha, Zhongxuan Han

The Web Conference

DOI

2026

Safety Anchor: Defending Harmful Fine-tuning via Geometric Bottlenecks

Guoxin Lu, Letian Sha, Qing Wang, Peijie Sun, Hao Zhou, Huaiyu Dai, Fu Xiao

arXiv.org

DOI

2025

Speech Recognition Model Improves Text-to-Speech Synthesis using Fine-Grained Reward

Guan-Su Wang, Peijie Sun

AAAI Conference on Artificial Intelligence

DOI

2025

Differentiated Directional Intervention A Framework for Evading LLM Safety Alignment

Peng Zhang, Peijie Sun

AAAI Conference on Artificial Intelligence

DOI

2025

CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation

Hanyu Li, Jiayu Li, Wei-Zhi Ma, Peijie Sun, Haiyang Wu, Jingwen Wang, Yue-Kui Yang, Min Zhang, Shao-Ping Ma

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2025

HADSF: Aspect Aware Semantic Control for Explainable Recommendation

Zheng Nie, Peijie Sun

Web Search and Data Mining

DOI

2025

Preference-Aware Intent Fusion in Multi-Behavior Recommendation

Shuqing Sun, Da Guo, Rui-Jie Liu, Peijie Sun

2025 IEEE International Conference on Knowledge Graph (ICKG)

DOI

2025

User Immersion-aware Short Video Recommendation

Zhiyu He, Shaorun Zhang, Wei-Zhi Ma, Jiayu Li, Peijie Sun, Qingyao Ai, Yi-Qun Liu, Min Zhang

ACM Trans. Inf. Syst.

DOI

2024

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

Jiayin Wang, Fengran Mo, Wei-Zhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

Conference on Empirical Methods in Natural Language Processing

DOI

2024

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model

Sheng-Hao Yang, Wei-Zhi Ma, Peijie Sun, Min Zhang, Qing-Yao Ai, Yi-Qun Liu, Ming-Chen Cai

International Conference on Database Systems for Advanced Applications

DOI

2024

EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation

Shaorun Zhang, Zhiyu He, Zi-Yi Ye, Peijie Sun, Qing-Yao Ai, Min Zhang, Yi-Qun Liu

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2024

Intersectional Two-sided Fairness in Recommendation

Yifan Wang, Peijie Sun, Wei-Zhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shao-Ping Ma

The Web Conference

DOI

2024

A Situation-aware Enhancer for Personalized Recommendation

Jiayu Li, Peijie Sun, Chumeng Jiang, Wei-Zhi Ma, Qing-Yao Ai, Min Zhang

International Conference on Database Systems for Advanced Applications

DOI

2024

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias

Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang

Knowledge Discovery and Data Mining

DOI

2024

Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation

Xiaoyu Zhang, Shaoyun Shi, Yishan Li, Wei-Zhi Ma, Peijie Sun, Min Zhang

ACM Trans. Inf. Syst.

DOI

2024

Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery

Jiayu Li, Aixin Sun, Wei-Zhi Ma, Peijie Sun, Min Zhang

ACM Conference on Recommender Systems

DOI

2024

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty

Peijie Sun, Yifan Wang, Min Zhang, Chu-Han Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang

The Web Conference

DOI

2024

Double Correction Framework for Denoising Recommendation

Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang

Knowledge Discovery and Data Mining

DOI

2024

Large Language Models as Evaluators for Recommendation Explanations

Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Wei-Zhi Ma, Peijie Sun, Min Zhang

ACM Conference on Recommender Systems

DOI

2024

Understanding User Experience in Large Language Model Interactions

Jiayin Wang, Wei-Zhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

arXiv.org

DOI

2024

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering

Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Mengdi Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Sequential Recommendation with Latent Relations based on Large Language Model

Sheng-Hao Yang, Wei-Zhi Ma, Peijie Sun, Qing-Yao Ai, Yi-Qun Liu, Ming-Chen Cai, Min Zhang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2024

Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations

Jiayu Li, Aixin Sun, Wei-Zhi Ma, Peijie Sun, Min Zhang

arXiv.org

DOI

2024

ReChorus2.0: A Modular and Task-Flexible Recommendation Library

Jiayu Li, Hanyu Li, Zhiyu He, Wei-Zhi Ma, Peijie Sun, Min Zhang, Shao-Ping Ma

ACM Conference on Recommender Systems

DOI

2024

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation

Hanyu Li, Wei-Zhi Ma, Peijie Sun, Jiayu Li, Cun-Xiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shao-Ping Ma

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2023

Intent-aware Ranking Ensemble for Personalized Recommendation

Jiayu Li, Peijie Sun, Zhefan Wang, Wei-Zhi Ma, Y. Li, M. Zhang, Zhoutian Feng, Daiyue Xue

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2023

Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction

Yifan Wang, Peijie Sun, M. Zhang, Qinglin Jia, Jingjie Li, Shao-Ping Ma

Knowledge Discovery and Data Mining

DOI

2023

Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation

Kang Liu, Feng Xue, Dan Guo, Peijie Sun, Sheng-Sheng Qian, Richang Hong

IEEE transactions on multimedia

DOI

2023

Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation

Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2023

Understanding User Immersion in Online Short Video Interaction

Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie, Min Zhang, Yi-Qun Liu

International Conference on Information and Knowledge Management

DOI

2022

面向社交评论文本的个性化推荐算法研究

孙培杰

《合肥工业大学》

2022

Self-Supervised Cross Domain Social Recommendation

Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong

International Conference on Computing and Artificial Intelligence

DOI

2022

ProFairRec: Provider Fairness-aware News Recommendation

Tao Qi, Fang-Zhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yong-Feng Huang, Xing Xie

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2022

A Review-aware Graph Contrastive Learning Framework for Recommendation

Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2021

An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation

Peijie Sun, Le Wu, Kun Zhang, Yuxuan Su, Meng Wang

ACM Trans. Inf. Syst.

DOI

2021

Hybrid Chinese text classification model based on pretraining model

Zhaoye Xing, Xiao-Qun Liu, Peijie Sun

Journal of Physics, Conference Series

DOI

2021

Meta-learned ID Embeddings for Online Inductive Recommendation

Jingyu Peng, Le Wu, Peijie Sun, Meng Wang

China Conference on Information Retrieval

DOI

2020

Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation

Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang

The Web Conference

DOI

2020

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2019

A Neural Influence Diffusion Model for Social Recommendation

Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2018

Contextual Attention Model for Social Recommendation

Hongfeng Bao, Le Wu, Peijie Sun

Pacific Rim Conference on Multimedia

DOI

2018

Attentive Recurrent Social Recommendation

Peijie Sun, Le Wu, Meng Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2018

Collaborative Neural Social Recommendation

Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

精选作品

期刊论文

协同信号增强的大模型用户画像生成与推荐

PRISM: Personalized Recommendation via Information Synergy Module

Safety Anchor: Defending Harmful Fine-tuning via Geometric Bottlenecks

Speech Recognition Model Improves Text-to-Speech Synthesis using Fine-Grained Reward

Differentiated Directional Intervention A Framework for Evading LLM Safety Alignment

CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation

HADSF: Aspect Aware Semantic Control for Explainable Recommendation

Preference-Aware Intent Fusion in Multi-Behavior Recommendation

User Immersion-aware Short Video Recommendation

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model

EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation

Intersectional Two-sided Fairness in Recommendation

A Situation-aware Enhancer for Personalized Recommendation

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias

Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation

Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty

Double Correction Framework for Denoising Recommendation

Large Language Models as Evaluators for Recommendation Explanations

Understanding User Experience in Large Language Model Interactions

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering

Sequential Recommendation with Latent Relations based on Large Language Model

Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations

ReChorus2.0: A Modular and Task-Flexible Recommendation Library

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation

Intent-aware Ranking Ensemble for Personalized Recommendation

Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction

Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation

Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation

Understanding User Immersion in Online Short Video Interaction

面向社交评论文本的个性化推荐算法研究

Self-Supervised Cross Domain Social Recommendation

ProFairRec: Provider Fairness-aware News Recommendation

A Review-aware Graph Contrastive Learning Framework for Recommendation

An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation

Hybrid Chinese text classification model based on pretraining model

Meta-learned ID Embeddings for Online Inductive Recommendation

Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

A Neural Influence Diffusion Model for Social Recommendation

Contextual Attention Model for Social Recommendation

Attentive Recurrent Social Recommendation

Collaborative Neural Social Recommendation

研究方向