张毅闻｜上海师范大学｜学者主页

2026

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction

Honghao Li, Xianquan Wang, Zibin Zhang, Yi Zhang, Kangyi Lin, Yiwen Zhang

arXiv preprint

2026

GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation

Lin Mu, Guoji Wang, Li Ni, Lei Sang, Zhize Wu, Peiquan Jin, Yiwen Zhang

arXiv preprint

2026

Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions

Wenhao Zhang, Lin Mu, Li Ni, Peiquan Jin, Yiwen Zhang

arXiv preprint

2026

DIAURec: Dual-Intent Space Representation Optimization for Recommendation

Yu Zhang, Yiwen Zhang, Yi Zhang, Lei Sang

arXiv preprint

2026

ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems

Yi Zhang, Yiwen Zhang, Kai Zheng, Tong Chen, Hongzhi Yin

arXiv preprint

2026

Preference-Based Self-Distillation: Beyond KL Matching via Reward Regularization

Xin Yu, Liuchen Liao, Yiwen Zhang, Yingchen Yu, Lingzhou Xue, Qinzhen Guo

arXiv preprint

2026

From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation

Ziang Lu, Lei Sang, Lin Mu, Yiwen Zhang

arXiv preprint

2026

TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models

Lin Mu, Haiyang Wang, Li Ni, Lei Sang, Zhize Wu, Peiquan Jin, Yiwen Zhang

arXiv preprint

2025

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks

Lin Mu, Guowei Chu, Li Ni, Lei Sang, Yiwen Zhang

arXiv preprint

2025

Intent Representation Learning with Large Language Model for Recommendation

Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang

arXiv preprint

2025

Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation

Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin

arXiv preprint

2025

Quadratic Interest Network for Multimodal Click-Through Rate Prediction

Honghao Li, Hanwei Li, Jing Zhang, Yi Zhang, Ziniu Yu, Lei Sang, Yiwen Zhang

arXiv preprint

2025

Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering

Yu Zhang, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang

arXiv preprint

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

arXiv preprint

2025

ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation

Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin

arXiv preprint

2025

MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems

Yi Zhang, Yiwen Zhang

arXiv preprint

DOI

2025

DenseLoRA: Dense Low-Rank Adaptation of Large Language Models

Lin Mu, Xiaoyu Wang, Li Ni, Yang Li, Zhize Wu, Peiquan Jin, Yiwen Zhang

arXiv preprint

2025

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation

Lei Sang, Yu Wang, Yiwen Zhang

arXiv preprint

2024

TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation

Honghao Li, Qiuze Ru, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang

arXiv preprint

2024

Large Language Model Aided QoS Prediction for Service Recommendation

Huiying Liu, Zekun Zhang, Honghao Li, Qilin Wu, Yiwen Zhang

arXiv preprint

DOI

2024

ComGPT: Detecting Local Community Structure with Large Language Models

Li Ni, Haowen Shen, Lin Mu, Yiwen Zhang, Wenjian Luo

arXiv preprint

DOI

2024

Adaptive Fusion Self-supervised Learning for Recommendation

Yu Zhang, Lei Sang, Yi Zhang, Yiwen Zhang, Yun Yang

arXiv preprint

2024

Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation

Lei Sang, Yu Wang, Yi Zhang, Yiwen Zhang, Xindong Wu

arXiv preprint

2024

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models

Honghao Li, Lei Sang, Yi Zhang, Guangming Cui, Yiwen Zhang

arXiv preprint

2024

Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering

Yi Zhang, Lei Sang, Yiwen Zhang

arXiv preprint

2024

Dual-domain Collaborative Denoising for Social Recommendation

Wenjie Chen, Yi Zhang, Honghao Li, Lei Sang, Yiwen Zhang

arXiv preprint

2024

Generative-Contrastive Heterogeneous Graph Neural Network

Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang, Xindong Wu

arXiv preprint

2024

Feature Interaction Fusion Self-Distillation Network For CTR Prediction

Lei Sang, Qiuze Ru, Honghao Li, Yiwen Zhang, Qian Cao, Xindong Wu

arXiv preprint

2024

FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction

Honghao Li, Yiwen Zhang, Yi Zhang, Hanwei Li, Lei Sang, Jieming Zhu

arXiv preprint

2023

CETN: Contrast-enhanced Through Network for CTR Prediction

Honghao Li, Lei Sang, Yi Zhang, Xuyun Zhang, Yiwen Zhang

arXiv preprint

张毅闻

精选作品

期刊论文

面向LCT的多像素超导混频器本振分配设计

基于第一性原理的静水压对立方相CsPbBr3材料光电性质的影响

基于C++ SuperMix库的SIS混频器的研究

无电子传输层半透明钙钛矿太阳电池的仿真研究

二维铁电材料调控下的石墨烯超灵敏太赫兹探测器

预印本

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction

GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation

Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions

DIAURec: Dual-Intent Space Representation Optimization for Recommendation

ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems

Preference-Based Self-Distillation: Beyond KL Matching via Reward Regularization

From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation

TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks

Intent Representation Learning with Large Language Model for Recommendation

Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation

Quadratic Interest Network for Multimodal Click-Through Rate Prediction

Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering

Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction

ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation

MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems

DenseLoRA: Dense Low-Rank Adaptation of Large Language Models

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation

TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation

Large Language Model Aided QoS Prediction for Service Recommendation

ComGPT: Detecting Local Community Structure with Large Language Models

Adaptive Fusion Self-supervised Learning for Recommendation

Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models

Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering

Dual-domain Collaborative Denoising for Social Recommendation

Generative-Contrastive Heterogeneous Graph Neural Network

Feature Interaction Fusion Self-Distillation Network For CTR Prediction

FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction

CETN: Contrast-enhanced Through Network for CTR Prediction