Quanyu Dai

According to our database, Quanyu Dai authored at least 48 papers between 2018 and 2024.

Collaborative distances:

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

2024

Benchmarking News Recommendation in the Era of Green AI.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu

CoRR, 2024

Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework.

Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai

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

2023

Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution.

Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang

IEEE Trans. Knowl. Data Eng., May, 2023

Domain Adaptive Graph Infomax via Conditional Adversarial Networks.

Jiaren Xiao, Quanyu Dai, Xiaochen Xie, Qi Dou, Ka-Wai Kwok, James Lam

IEEE Trans. Netw. Sci. Eng., 2023

Adversarially regularized graph attention networks for inductive learning on partially labeled graphs.

Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok

Knowl. Based Syst., 2023

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy.

Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok

CoRR, 2023

Only Encode Once: Making Content-based News Recommender Greener.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu

CoRR, 2023

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.

Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen

CoRR, 2023

Recommendation with Causality enhanced Natural Language Explanations.

Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation.

Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

FINAL: Factorized Interaction Layer for CTR Prediction.

Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang

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

Robust Causal Inference for Recommender System to Overcome Noisy Confounders.

Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang

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

Optimal Transport for Treatment Effect Estimation.

Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.

Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Out-of-distribution Detection with Implicit Outlier Transformation.

Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sequential Recommendation with User Causal Behavior Discovery.

Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multiple Robust Learning for Recommendation.

Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Debiased recommendation with neural stratification.

Quanyu Dai, Zhenhua Dong, Xu Chen

AI Open, January, 2022

Social Attentive Deep Q-Networks for Recommender Systems.

Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei, Quanyu Dai

IEEE Trans. Knowl. Data Eng., 2022

Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks.

Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang

Pattern Recognit., 2022

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.

Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun

CoRR, 2022

Recommendation with User Active Disclosing Willingness.

Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong

CoRR, 2022

Sequential Recommendation with Causal Behavior Discovery.

Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

CoRR, 2022

A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.

Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou

CoRR, 2022

Causal Analysis Framework for Recommendation.

Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

CoRR, 2022

BARS: Towards Open Benchmarking for Recommender Systems.

Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang

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

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.

Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang

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

Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.

Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.

Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.

Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.

Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

LCD: Adaptive Label Correction for Denoising Music Recommendation.

Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Network Together: Node Classification via Cross-Network Deep Network Embedding.

Xiao Shen, Quanyu Dai, Sitong Mao, Fu-Lai Chung, Kup-Sze Choi

IEEE Trans. Neural Networks Learn. Syst., 2021

Adversarial training regularization for negative sampling based network embedding.

Quanyu Dai, Xiao Shen, Zimu Zheng, Liang Zhang, Qiang Li, Dan Wang

Inf. Sci., 2021

Dual Sequence Transformer for Query-based Interactive Recommendation.

Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.

Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu

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

Top-N Recommendation with Counterfactual User Preference Simulation.

Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SimpleX: A Simple and Strong Baseline for Collaborative Filtering.

Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning.

Zimu Zheng, Jie Pu, Linghui Liu, Dan Wang, Xiangming Mei, Sen Zhang, Quanyu Dai

ACM Trans. Intell. Syst. Technol., 2020

An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration.

Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Learning for Overlapping Community Detection and Network Embedding.

Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Adversarial Deep Network Embedding for Cross-Network Node Classification.

Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution.

Quanyu Dai, Xiao Shen, Xiao-Ming Wu, Dan Wang

CoRR, 2019

Adversarial Training Methods for Network Embedding.

Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang

Proceedings of the World Wide Web Conference, 2019

Ranking Network Embedding via Adversarial Learning.

Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Metadata-driven Task Relation Discovery for Multi-task Learning.

Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.

Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Adversarial Network Embedding.

Quanyu Dai, Qiang Li, Jian Tang, Dan Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018