Fingerprint attack against touch-enabled devices. - Yang Zhang 072; Peng Xia 003; Junzhou Luo; Zhen Ling 001; Benyuan Liu; Xinwen Fu (SPSM@CCS, 2012)

A novel network delay based side-channel attack: Modeling and defense. - Zhen Ling 001; Junzhou Luo; Yang Zhang 072; Ming Yang 001; Xinwen Fu; Wei Yu 002 (INFOCOM, 2012)

How to Retrain Recommender System?: A Sequential Meta-Learning Method. - Yang Zhang 072; Fuli Feng; Chenxu Wang; Xiangnan He 001; Meng Wang 001; Yan Li 068; Yongdong Zhang 001 (SIGIR, 2020)

Causal Intervention for Leveraging Popularity Bias in Recommendation. - Yang Zhang 072; Fuli Feng; Xiangnan He 001; Tianxin Wei; Chonggang Song; Guohui Ling; Yongdong Zhang 001 (SIGIR, 2021)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

The 1st Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yong Liu 020; Yang Zhang 072; Weiwen Liu; Fuli Feng; Xiangnan He 001; Aixin Sun (CIKM, 2023)

Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework. - Yang Zhang 072; Yimeng Bai; Jianxin Chang; Xiaoxue Zang; Song Lu 003; Jing Lu; Fuli Feng; Yanan Niu; Yang Song 008 (CIKM, 2023)

LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction. - Meng Jiang; Yang Zhang 072; Yuan Gao 020; Yansong Wang; Fuli Feng; Xiangnan He 001 (ICDE, 2023)

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. - Jizhi Zhang; Keqin Bao; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Towards Trustworthy Recommender System: A Faithful and Responsible Recommendation Perspective. - Yang Zhang 072 (SIGIR, 2023)

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. - Yulong Huang; Yang Zhang 072; Qifan Wang 001; Chenxu Wang; Fuli Feng (SIGIR, 2023)

Causal Recommendation: Progresses and Future Directions. - Wenjie Wang 007; Yang Zhang 072; Haoxuan Li 001; Peng Wu 012; Fuli Feng; Xiangnan He 001 (SIGIR, 2023)

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. - Yang Zhang 072; Tianhao Shi; Fuli Feng; Wenjie Wang 007; Dingxian Wang; Xiangnan He 001; Yongdong Zhang 001 (SIGIR, 2023)

Recommendation Unlearning via Influence Function. - Yang Zhang 072; Zhiyu Hu; Yimeng Bai; Fuli Feng; Jiancan Wu; Qifan Wang 001; Xiangnan He 001 (CoRR, 2023)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yancheng Luo; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CoRR, 2023)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. - Tianhao Shi; Yang Zhang 072; Zhijian Xu; Chong Chen 002; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CoRR, 2023)

Addressing Confounding Feature Issue for Causal Recommendation. - Xiangnan He 001; Yang Zhang 072; Fuli Feng; Chonggang Song; Lingling Yi; Guohui Ling; Yongdong Zhang 001 (ACM Trans. Inf. Syst., 2023)

Mitigating Spurious Correlations for Self-supervised Recommendation. - Xinyu Lin 001; Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Fuli Feng (Mach. Intell. Res., 2023)

Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. - Chenxu Wang; Fuli Feng; Yang Zhang 072; Qifan Wang 001; Xunhan Hu; Xiangnan He 001 (IEEE Trans. Big Data, 2023)

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. - Xiaoyuan Li; Wenjie Wang 007; Moxin Li; Junrong Guo; Yang Zhang 072; Fuli Feng (ACL (Findings), 2024)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Yang Zhang 072; Keqin Bao; Ming Yan; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (ACL (1), 2024)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. - Tianhao Shi; Yang Zhang 072; Zhijian Xu; Chong Chen 001; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CIKM, 2024)

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Xinyue Huo; Chong Chen 001; Fuli Feng (EMNLP, 2024)

GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting. - Yimeng Bai; Yang Zhang 072; Fuli Feng; Jing Lu; Xiaoxue Zang; Chenyi Lei; Yang Song 008 (KDD, 2024)

Large Language Models for Recommendation: Past, Present, and Future. - Keqin Bao; Jizhi Zhang; Xinyu Lin 001; Yang Zhang 072; Wenjie Wang 007; Fuli Feng (SIGIR, 2024)

Large Language Models are Learnable Planners for Long-Term Recommendation. - Wentao Shi 002; Xiangnan He 001; Yang Zhang 072; Chongming Gao; Xinyue Li; Jizhi Zhang; Qifan Wang 001; Fuli Feng (SIGIR, 2024)

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. - Tianhao Shi; Yang Zhang 072; Jizhi Zhang; Fuli Feng; Xiangnan He 001 (SIGIR, 2024)

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting. - Yimeng Bai; Yang Zhang 072; Jing Lu; Jianxin Chang; Xiaoxue Zang; Yanan Niu; Yang Song 008; Fuli Feng (WSDM, 2024)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. - Wentao Shi 002; Chenxu Wang; Fuli Feng; Yang Zhang 072; Wenjie Wang 007; Junkang Wu; Xiangnan He 001 (WWW, 2024)

The 2nd Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yang Zhang 072; Xinyu Lin 001; Fuli Feng; Weiwen Liu; Yong Liu 020; Xiangyu Zhao 001; Wayne Xin Zhao; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 2024)

Large Language Models for Recommendation: Progresses and Future Directions. - Jizhi Zhang; Keqin Bao; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (WWW (Companion Volume), 2024)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform. - Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Yang Zhang 072; Wentao Shi 002; Wanhong Xu; Fuli Feng; Tat-Seng Chua (CoRR, 2024)

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. - Wentao Shi 002; Xiangnan He 001; Yang Zhang 072; Chongming Gao; Xinyue Li; Jizhi Zhang; Qifan Wang 001; Fuli Feng (CoRR, 2024)

Exact and Efficient Unlearning for Large Language Model-based Recommendation. - Zhiyu Hu; Yang Zhang 072; Minghao Xiao; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Yang Zhang 072; Keqin Bao; Ming Yang 001; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Xinyue Huo; Chong Chen 001; Fuli Feng (CoRR, 2024)

Personalized Image Generation with Large Multimodal Models. - Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Tang Biao; Peng Yan; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation. - Yang Zhang 072; Juntao You; Yimeng Bai; Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Tat-Seng Chua (CoRR, 2024)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning. - Keqin Bao; Ming Yang 001; Yang Zhang 072; Jizhi Zhang; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Mitigating Hidden Confounding Effects for Causal Recommendation. - Xinyuan Zhu; Yang Zhang 072; Fuli Feng; Xun Yang 001; Dingxian Wang; Xiangnan He 001 (IEEE Trans. Knowl. Data Eng., 2024)

Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation. - Keqin Bao; Ming Yan; Yang Zhang 072; Jizhi Zhang; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (ACL (Findings), 2025)

K-order Ranking Preference Optimization for Large Language Models. - Shihao Cai; Chongming Gao; Yang Zhang 072; Wentao Shi 002; Jizhi Zhang; Keqin Bao; Qifan Wang 001; Fuli Feng (ACL (Findings), 2025)

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. - Yilun Qiu; Xiaoyan Zhao 005; Yang Zhang 072; Yimeng Bai; Wenjie Wang 007; Hong Cheng 001; Fuli Feng; Tat-Seng Chua (ACL (Findings), 2025)

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning. - Ziang Ye; Zhenru Zhang; Yang Zhang 072; Jianxin Ma; Junyang Lin; Fuli Feng (ACL (Findings), 2025)

Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction. - Chunyuan Zheng 001; Hang Pan 006; Yang Zhang 072; Haoxuan Li 001 (SIGIR, 2025)

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. - Xinyu Lin 001; Keqin Bao; Jizhi Zhang; Yang Zhang 072; Wenjie Wang 007; Fuli Feng (SIGIR, 2025)

Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems. - Yimeng Bai; Shunyu Zhang; Yang Zhang 072; Hu Liu; Wentian Bao; Enyun Yu; Fuli Feng; Wenwu Ou (SIGIR, 2025)

Fair Recommendation with Biased-Limited Sensitive Attribute. - Jizhi Zhang; Haoyu Shen; Tianhao Shi; Keqin Bao; Xin Chen 033; Yang Zhang 072; Fuli Feng (SIGIR, 2025)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. - Chengbing Wang; Yang Zhang 072; Fengbin Zhu; Jizhi Zhang; Tianhao Shi; Fuli Feng (WWW (Companion Volume), 2025)

Personalized Image Generation with Large Multimodal Models. - Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Biao Tang; Peng Yan; Fuli Feng; Xiangnan He 001 (WWW, 2025)

The 3rd Workshop on Personal Intelligence with Generative AI. - Yang Zhang 072; Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Hongzhi Yin; Wayne Xin Zhao; Lina Yao 001; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 2025)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment. - Yi Fang 008; Wenjie Wang 007; Yang Zhang 072; Fengbin Zhu; Qifan Wang 001; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition. - Yiyan Xu; Wuqiang Zheng; Wenjie Wang 007; Fengbin Zhu; Xinting Hu; Yang Zhang 072; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Envisioning Recommendations on an LLM-Based Agent Platform. - Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Yang Zhang 072; Wentao Shi 002; Wanhong Xu; Fuli Feng; Tat-Seng Chua (Commun. ACM, 2025)

Reinforced Latent Reasoning for LLM-based Recommendation. - Yang Zhang 072; Wenxin Xu; Xiaoyan Zhao 005; Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (CoRR, 2025)

CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. - Yang Zhang 072; Fuli Feng; Jizhi Zhang; Keqin Bao; Qifan Wang 001; Xiangnan He 001 (IEEE Trans. Knowl. Data Eng., 2025)

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization. - Xiaoyan Zhao 005; Juntao You; Yang Zhang 072; Wenjie Wang 007; Hong Cheng 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2025)

IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation. - Zijie Lin; Yang Zhang 072; Xiaoyan Zhao 005; Fengbin Zhu; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation. - Chang Liu; Yimeng Bai; Xiaoyan Zhao 005; Yang Zhang 072; Fuli Feng; Wenge Rong (CoRR, 2025)

Recommendation Unlearning via Influence Function. - Yang Zhang 072; Zhiyu Hu; Yimeng Bai; Jiancan Wu; Qifan Wang 001; Fuli Feng (Trans. Recomm. Syst., 2025)

Unconditional Diffusion for Generative Sequential Recommendation. - Yimeng Bai; Yang Zhang 072; Sihao Ding 003; Shaohui Ruan; Han Yao; Danhui Guan; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation. - Ziang Ye; Yang Zhang 072; Wentao Shi 002; Xiaoyu You; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning. - Shanle Zheng; Keqin Bao; Jizhi Zhang; Yang Zhang 072; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

Generative Multi-Target Cross-Domain Recommendation. - Jinqiu Jin; Yang Zhang 072; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

Latent Inter-User Difference Modeling for LLM Personalization. - Yilun Qiu; Tianhao Shi; Xiaoyan Zhao 005; Fengbin Zhu; Yang Zhang 072; Fuli Feng (CoRR, 2025)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yanchen Luo; Chong Chen 001; Fuli Feng; Qi Tian 001 (Trans. Recomm. Syst., 2025)