Yonghui Yang - RankMe

47 papers A* 14Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation. KDD (1) Yongfu Zha, Xinxin Dong, Haokai Ma, Yonghui Yang, Xiaodong Wang
2026	A*	`conf`	BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning. WWW Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang
2026	J	`jnl`	BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning. CoRR Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang
2026	J	`jnl`	CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation. CoRR Hao Zhan, Yihui Wang, Yonghui Yang, Danyang Yue, Yu Wang, Pengyang Shao, Fei Shen, Fei Liu, Le Wu
2026	J	`jnl`	Controllable Value Alignment in Large Language Models through Neuron-Level Editing. CoRR Yonghui Yang, Junwei Li, Jilong Liu, Yicheng He, Fengbin Zhu, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua
2026	A*	`conf`	Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering. AAAI Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong
2026	J	`jnl`	FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting. CoRR Xiangyu Li, Xuan Yao, Guohao Qi, Fengbin Zhu, Kelvin J. L. Koa, Xiang Yao Ng, Ziyang Liu, Xingyu Ni, Chang Liu, Yonghui Yang, Yang Zhang, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Xiaofen Xing, Xiangmin Xu, Tat-Seng Chua, Ke-Wei Huang
2026	—	`conf`	Multi-Agent Debate based Concept Augmentation for Enhanced Cognitive Diagnosis. KDD (1) Pengyang Shao, Lei Chen, Fei Liu, Yonghui Yang, Xun Yang, Meng Wang
2026	J	`jnl`	Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control. CoRR Yonghui Yang, Wenjian Tao, Jilong Liu, Xingyu Zhu, Junfeng Fang, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua
2026	J	`jnl`	Who Transfers Safety? Identifying and Targeting Cross-Lingual Shared Safety Neurons. CoRR Xianhui Zhang, Chengyu Xie, Linxia Zhu, Yonghui Yang, Weixiang Zhao, Zifeng Cheng, Cong Wang, Fei Shen, Tat-Seng Chua
2026	J	`jnl`	wDPO: Winsorized Direct Preference Optimization for Robust LLM Alignment. CoRR Jilong Liu, Yonghui Yang, Pengyang Shao, Haokai Ma, Wei Qin, Richang Hong
2025	J	`jnl`	A Survey on Generative Recommendation: Data, Model, and Tasks. CoRR Min Hou, Le Wu, Yuxin Liao, Yonghui Yang, Zhen Zhang, Changlong Zheng, Han Wu, Richang Hong
2025	J	`jnl`	Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering. CoRR Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong
2025	—	`conf`	Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. KDD (1) Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang
2025	A*	`conf`	Fair Personalized Learner Modeling Without Sensitive Attributes. WWW Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang
2025	A*	`conf`	Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. SIGIR Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang
2025	J	`jnl`	Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. CoRR Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang
2025	J	`jnl`	Less is More: Information Bottleneck Denoised Multimedia Recommendation. CoRR Yonghui Yang, Le Wu, Zhuangzhuang He, Zhengwei Wu, Richang Hong, Meng Wang
2025	J	`jnl`	Making Non-Overlapping Matters: An Unsupervised Alignment Enhanced Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. Zihan Wang, Yonghui Yang, Le Wu, Richang Hong, Meng Wang
2025	A*	`conf`	Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective. SIGIR Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu
2025	J	`jnl`	Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation. CoRR Yu Wang, Yonghui Yang, Le Wu, Yi Zhang, Richang Hong
2025	—	`conf`	Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis. WWW (Companion Volume) Chenao Xia, Fei Liu, Zihan Wang, Zhuangzhuang He, Pengyang Shao, Haowei Zhou, Yonghui Yang
2025	J	`jnl`	Understanding Embedding Scaling in Collaborative Filtering. CoRR Zhuangzhuang He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang
2025	J	`jnl`	Understanding Embedding Scaling in Collaborative Filtering. Trans. Mach. Learn. Res. Yicheng He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang
2025	J	`jnl`	Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation. IEEE Trans. Big Data Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang
2024	J	`jnl`	Boosting Multimedia Recommendation via Separate Generic and Unique Awareness. CoRR Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu
2024	A*	`conf`	Double Correction Framework for Denoising Recommendation. KDD Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang
2024	J	`jnl`	Double Correction Framework for Denoising Recommendation. CoRR Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang
2024	A*	`conf`	Graph Bottlenecked Social Recommendation. KDD Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang
2024	J	`jnl`	Graph Bottlenecked Social Recommendation. CoRR Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang
2024	J	`jnl`	Hyperbolic Graph Learning for Social Recommendation. IEEE Trans. Knowl. Data Eng. Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024	J	`jnl`	Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks. CoRR Pengyang Shao, Chen Gao, Lei Chen, Yonghui Yang, Kun Zhang, Meng Wang
2024	A*	`conf`	Learning Fair Representations for Recommendation via Information Bottleneck Principle. IJCAI Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu
2024	—	`conf`	Multi-interest Distribution Based Diversified Recommendation. CACML Shihai Liu, Yonghui Yang
2023	J	`jnl`	Generative Contrastive Graph Learning for Recommendation. CoRR Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A*	`conf`	Generative-Contrastive Graph Learning for Recommendation. SIGIR Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A*	`conf`	GoRec: A Generative Cold-start Recommendation Framework. ACM Multimedia Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang
2022	—	`conf`	Multi-Relational Cognitive Diagnosis for Intelligent Education. CICAI (2) Kaifang Wu, Yonghui Yang, Kun Zhang, Le Wu, Jing Liu, Xin Li
2022	—	`conf`	Self-Supervised Cross Domain Social Recommendation. ICCAI Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong
2021	A*	`conf`	Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. SIGIR Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang
2020	A*	`conf`	Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. SIGIR Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang
2020	J	`jnl`	Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. CoRR Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang
2020	A*	`conf`	Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. SIGIR Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
2020	J	`jnl`	Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. CoRR Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
2020	—	`conf`	ResFusion: A Residual Learning Based Fusion Framework for CTR Prediction. CCIR Junmei Bao, Yangguang Ji, Yonghui Yang, Le Wu, Ruiji Fu
2019	A*	`conf`	Personalized Multimedia Item and Key Frame Recommendation. IJCAI Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
2019	J	`jnl`	Personalized Multimedia Item and Key Frame Recommendation. CoRR Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang