Wenjie Wang

发表

Pre-training and evaluation of numeracy-oriented language model

Tat-Seng Chua, Fuli Feng, Yixin Cao, 2021, ICAIF.

Interpolative Distillation for Unifying Biased and Debiased Recommendation

Xiangnan He, Fuli Feng, Wenjie Wang, 2022, Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.

User-controllable Recommendation Against Filter Bubbles

Liqiang Nie, Fuli Feng, Tat-Seng Chua, 2022, SIGIR.

Causal Inference in Recommender Systems: A Survey and Future Directions

Xiangnan He, Fuli Feng, Wenjie Wang, 2022, ACM Trans. Inf. Syst..

Dynamic Hypergraph Convolutional Network

X. Zhang, Xiansheng Hua, Zhigang Luo, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE).

Learning Robust Recommender from Noisy Implicit Feedback pdf

Liqiang Nie, Xiangnan He, Fuli Feng, 2021, ArXiv.

Deconfounded Recommendation for Alleviating Bias Amplification

Xiangnan He, Fuli Feng, Tat-Seng Chua, 2021, KDD.

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue pdf

Xiangnan He, Hanwang Zhang, Tat-Seng Chua, 2020, SIGIR.

"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue

Hanwang Zhang, Xiangnan He, Fuli Feng, 2020, ArXiv.

Causal Representation Learning for Out-of-Distribution Recommendation

Min Lin, Xiangnan He, Fuli Feng, 2022, WWW.

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Xiangnan He, Fuli Feng, Wenjie Wang, 2023, 2305.00447.

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

Xiangnan He, Fuli Feng, Wenjie Wang, 2023, arXiv.org.

Market2Dish: Health-aware Food Recommendation

Liqiang Nie, Xuemeng Song, Hao Jiang, 2020, ACM Trans. Multim. Comput. Commun. Appl..

What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation

Hao Jiang, Liqiang Nie, Yinglong Wang, 2020, ACM Multimedia.

Causal Disentangled Recommendation Against User Preference Shifts

Fuli Feng, Tat-Seng Chua, Wenjie Wang, 2023, ACM Transactions on Information Systems.

Conversational Image Search

Qi Tian, Liqiang Nie, Yinglong Wang, 2021, IEEE Transactions on Image Processing.

Generative Recommendation: Towards Next-generation Recommender Paradigm

Xiangnan He, Fuli Feng, Tat-Seng Chua, 2023, ArXiv.

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation

Xiangnan He, Dingxian Wang, Fuli Feng, 2023, SIGIR.

Robust Instruction Optimization for Large Language Models with Distribution Shifts

Fuli Feng, Tat-Seng Chua, Moxin Li, 2023, ArXiv.

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

Xiangnan He, Fuli Feng, Wenjie Wang, 2023, RecSys.

Denoising Implicit Feedback for Recommendation

Tat-Seng Chua, Liqiang Nie, Xiangnan He, 2020, WSDM.

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Xiangnan He, Fuli Feng, Wenjie Wang, 2023, ArXiv.

Causal Recommendation: Progresses and Future Directions

Xiangnan He, Fuli Feng, Peng Wu, 2023, SIGIR.

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Fuli Feng, Qi Tian, Wenjie Wang, 2023, ArXiv.

RecAD: Towards A Unified Library for Recommender Attack and Defense

Fuli Feng, Chongming Gao, Wenjie Wang, 2023, RecSys.

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Xiangnan He, Fuli Feng, Wenjie Wang, 2023, RecSys.

Wenjie Wang, Jizhi Zhang, Leigang Qu, 2023, CIKM.

The 1st Workshop on Recommendation with Generative Models

Fuli Feng, Wenjie Wang, Yang Zhang, 2023, CIKM.

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation

Fuli Feng, Wenjie Wang, Xinyu Lin, 2023, ArXiv.

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

Xiangnan He, Fuli Feng, Wenjie Wang, 2023, RecSys.

Temporally and Distributionally Robust Optimization for Cold-start Recommendation

Fuli Feng, Wenjie Wang, Xinyu Lin, 2023, AAAI.

Robust Prompt Optimization for Large Language Models Against Distribution Shifts

Fuli Feng, Moxin Li, Wenjie Wang, 2023, Conference on Empirical Methods in Natural Language Processing.

Causal Intervention for Fairness in Multi-behavior Recommendation

Wenge Rong, Fuli Feng, Wenjie Wang, 2022, ArXiv.

Causal Recommendation: Progresses and Future Directions

Xiangnan He, Fuli Feng, Peng Wu, 2023, SIGIR.

Counterfactual Active Learning for Out-of-Distribution Generalization

Xiangnan He, Fuli Feng, Wenjie Wang, 2023, ACL.

Large Language Models for Recommendation: Progresses and Future Directions

Fuli Feng, Wenjie Wang, Yang Zhang, 2023, SIGIR-AP.

Market2Dish: Health-aware Food Recommendation pdf

Liqiang Nie, Xuemeng Song, Wenjie Wang, 2020, ACM Trans. Multim. Comput. Commun. Appl..

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation

Wenjie Wang, Yang Zhang, Wentao Shi, 2024, WWW.

Prospect Personalized Recommendation on Large Language Model-based Agent Platform

Wenjie Wang, Yang Zhang, Jizhi Zhang, 2024, ArXiv.

Exact and Efficient Unlearning for Large Language Model-based Recommendation

Wenjie Wang, Yang Zhang, ZhiYu Hu, 2024, ArXiv.

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction

Wenjie Wang, Sihao Ding, Jinqiu Jin, 2024, WWW.

Learnable Tokenizer for LLM-based Generative Recommendation

Wenjie Wang, Jizhi Zhang, Xinyu Lin, 2024, 2405.07314.

Data-efficient Fine-tuning for LLM-based Recommendation

Wenjie Wang, Xinyu Lin, Yongqi Li, 2024, ArXiv.

Mitigating Spurious Correlations for Self-supervised Recommendation

Yi Tian Xu, Fuli Feng, Wenjie Wang, 2022, Machine Intelligence Research.

Uplift Modeling for Target User Attacks on Recommender Systems

Wenjie Wang, Daizong Ding, Wentao Shi, 2024, WWW.

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG

Wenjie Wang, Fengbin Zhu, Qifan Wang, 2024, 2406.11497.

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection

Moxin Li, Wenjie Wang, Fengbin Zhu, 2024, EMNLP.

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Moxin Li, Wenjie Wang, Yang Zhang, 2024, ACL.

Equivariant Learning for Out-of-Distribution Cold-start Recommendation

Fuli Feng, Yin-wei Wei, Wenjie Wang, 2023, ACM Multimedia.

Wenjie Wang, Jizhi Zhang, Leigang Qu, 2023, CIKM.

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs

Moxin Li, Wenjie Wang, Fuli Feng, 2024, ArXiv.