Wenjie Wang

According to our database, Wenjie Wang authored at least 94 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Causal Intervention for Fairness in Multibehavior Recommendation.

Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin, Zhang Xiong

IEEE Trans. Comput. Soc. Syst., October, 2024

Causal Inference in Recommender Systems: A Survey and Future Directions.

Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li

ACM Trans. Inf. Syst., July, 2024

Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation.

Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua

ACM Trans. Inf. Syst., March, 2024

Causal Disentangled Recommendation against User Preference Shifts.

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua

ACM Trans. Inf. Syst., January, 2024

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning.

Keqin Bao, Ming Yang, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation.

Yang Zhang, Juntao You, Yimeng Bai, Jizhi Zhang, Keqin Bao, Wenjie Wang, Tat-Seng Chua

CoRR, 2024

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding.

Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua

CoRR, 2024

Large Language Models Empowered Personalized Web Agents.

Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua

CoRR, 2024

Personalized Image Generation with Large Multimodal Models.

Yiyan Xu, Wenjie Wang, Yang Zhang, Tang Biao, Peng Yan, Fuli Feng, Xiangnan He

CoRR, 2024

Efficient Inference for Large Language Model-based Generative Recommendation.

Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence.

Hang Pan, Shuxian Bi, Wenjie Wang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

CoRR, 2024

Incorporate LLMs with Influential Recommender System.

Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng

CoRR, 2024

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation.

Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

CoRR, 2024

Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation.

Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua

CoRR, 2024

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs.

Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng

CoRR, 2024

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

Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng

CoRR, 2024

Unified Text-to-Image Generation and Retrieval.

Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua

CoRR, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.

Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

Learnable Tokenizer for LLM-based Generative Recommendation.

Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

A Survey of Generative Search and Recommendation in the Era of Large Language Models.

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua

CoRR, 2024

Exact and Efficient Unlearning for Large Language Model-based Recommendation.

Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.

Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua

CoRR, 2024

DESERE: The 1st Workshop on Decentralised Search and Recommendation.

Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos

CoRR, 2024

Prospect Personalized Recommendation on Large Language Model-based Agent Platform.

Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua

CoRR, 2024

DiFashion: Towards Personalized Outfit Generation and Recommendation.

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

CoRR, 2024

LLM-based Federated Recommendation.

Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

Plug-In Diffusion Model for Embedding Denoising in Recommendation System.

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng

CoRR, 2024

Large Language Models for Recommendation: Progresses and Future Directions.

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The 2nd Workshop on Recommendation with Generative Models.

Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Uplift Modeling for Target User Attacks on Recommender Systems.

Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua

Proceedings of the ACM on Web Conference 2024, 2024

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

Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 2024

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

Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Item-side Fairness of Large Language Model-based Recommendation System.

Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 2024

Proactive Recommendation with Iterative Preference Guidance.

Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The 1st Workshop on Decentralised Search and Recommendation.

Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Denoising Diffusion Recommender Model.

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Diffusion Models for Generative Outfit Recommendation.

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

I3: Intent-Introspective Retrieval Conditioned on Instructions.

Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Data-efficient Fine-tuning for LLM-based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Treatment Effect Estimation for User Interest Exploration on Recommender Systems.

Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models for Recommendation: Past, Present, and Future.

Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Taxation Perspective for Fair Re-ranking.

Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Debiased Recommendation with Noisy Feedback.

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Study of Implicit Ranking Unfairness in Large Language Models.

Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Discriminative Probing and Tuning for Text-to-Image Generation.

Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learnable Item Tokenization for Generative Recommendation.

Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.

Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Distillation Enhanced Generative Retrieval.

Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond.

Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation.

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mitigating Spurious Correlations for Self-supervised Recommendation.

Xin-Yu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng

Mach. Intell. Res., April, 2023

Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study.

Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua

CoRR, 2023

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

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2023

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

Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnan He, Qi Tian

CoRR, 2023

Robust Instruction Optimization for Large Language Models with Distribution Shifts.

Moxin Li, Wenjie Wang, Fuli Feng, Jizhi Zhang, Tat-Seng Chua

CoRR, 2023

Generative Recommendation: Towards Next-generation Recommender Paradigm.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, 2023

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.

Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Recommendation: Progresses and Future Directions.

Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Diffusion Recommender Model.

Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learnable Pillar-based Re-ranking for Image-Text Retrieval.

Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

RecAD: Towards A Unified Library for Recommender Attack and Defense.

Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Multimedia, 2023

General Debiasing for Multimodal Sentiment Analysis.

Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Robust Prompt Optimization for Large Language Models Against Distribution Shifts.

Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models.

Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Popularity-aware Distributionally Robust Optimization for Recommendation System.

Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

The 1st Workshop on Recommendation with Generative Models.

Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context.

Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Counterfactual Active Learning for Out-of-Distribution Generalization.

Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Causal Intervention for Fairness in Multi-behavior Recommendation.

Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin

CoRR, 2022

Causal Representation Learning for Out-of-Distribution Recommendation.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

User-controllable Recommendation Against Filter Bubbles.

Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Interpolative Distillation for Unifying Biased and Debiased Recommendation.

Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis.

Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dynamic Hypergraph Convolutional Network.

Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Market2Dish: Health-aware Food Recommendation.

Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie

ACM Trans. Multim. Comput. Commun. Appl., 2021

Conversational Image Search.

Liqiang Nie, Fangkai Jiao, Wenjie Wang, Yinglong Wang, Qi Tian

IEEE Trans. Image Process., 2021

Learning Robust Recommender from Noisy Implicit Feedback.

Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua

CoRR, 2021

Denoising Implicit Feedback for Recommendation.

Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua

Proceedings of the WSDM '21, 2021

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

Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Deconfounded Recommendation for Alleviating Bias Amplification.

Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pre-training and evaluation of numeracy-oriented language model.

Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

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

Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

CoRR, 2020

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

Hao Jiang, Wenjie Wang, Yinwei Wei, Zan Gao, Yinglong Wang, Liqiang Nie

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

User Attention-guided Multimodal Dialog Systems.

Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Multimodal Dialog System: Generating Responses via Adaptive Decoders.

Liqiang Nie, Wenjie Wang, Richang Hong, Meng Wang, Qi Tian

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Market2Dish: A Health-aware Food Recommendation System.

Hao Jiang, Wenjie Wang, Meng Liu, Liqiang Nie, Ling-Yu Duan, Changsheng Xu

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Chat More: Deepening and Widening the Chatting Topic via A Deep Model.

Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018