Quanyu Dai

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 67

Top Topics

Causal Inference

Partially Labeled

Domain Adaptation

Recommender Systems

Top Venues

Publications

Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. AAAI (2024)
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. CoRR (2024)
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. KDD (2024)
Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
Modeling User Attention in Music Recommendation. ICDE (2024)
Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok
Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy. Neurocomputing 580 (2024)
Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
Active Explainable Recommendation with Limited Labeling Budgets. ICASSP (2024)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
Benchmarking News Recommendation in the Era of Green AI. WWW (Companion Volume) (2024)
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR (2024)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
Benchmarking News Recommendation in the Era of Green AI. CoRR (2024)
Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. WWW (Companion Volume) (2023)
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
FINAL: Factorized Interaction Layer for CTR Prediction. SIGIR (2023)
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
Out-of-distribution Detection with Implicit Outlier Transformation. ICLR (2023)
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
Optimal Transport for Treatment Effect Estimation. NeurIPS (2023)
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. NeurIPS (2023)
Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen
Sequential Recommendation with User Causal Behavior Discovery. ICDE (2023)
Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang
Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, Qi Dou, Ka-Wai Kwok, James Lam
Domain Adaptive Graph Infomax via Conditional Adversarial Networks. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
Out-of-distribution Detection with Implicit Outlier Transformation. CoRR (2023)
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
Robust Causal Inference for Recommender System to Overcome Noisy Confounders. SIGIR (2023)
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR (2023)
Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy. CoRR (2023)
Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang
Recommendation with Causality enhanced Natural Language Explanations. WWW (2023)
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok
Adversarially regularized graph attention networks for inductive learning on partially labeled graphs. Knowl. Based Syst. 268 (2023)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
Only Encode Once: Making Content-based News Recommender Greener. CoRR (2023)
Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
Multiple Robust Learning for Recommendation. AAAI (2023)
Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
Optimal Transport for Treatment Effect Estimation. CoRR (2023)
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
BARS: Towards Open Benchmarking for Recommender Systems. CoRR (2022)
Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong
Recommendation with User Active Disclosing Willingness. CoRR (2022)
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. IJCAI (2022)
Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei, Quanyu Dai
Social Attentive Deep Q-Networks for Recommender Systems. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
Sequential Recommendation with Causal Behavior Discovery. CoRR (2022)
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
BARS: Towards Open Benchmarking for Recommender Systems. SIGIR (2022)
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. CoRR (2022)
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. KDD (2022)
Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. CoRR (2022)
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR (2022)
Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. Pattern Recognit. 128 (2022)
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR (2022)
Quanyu Dai, Zhenhua Dong, Xu Chen
Debiased Recommendation with Neural Stratification. CoRR (2022)
Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD (2022)
Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM (2022)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation. COLING (2022)
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
Causal Analysis Framework for Recommendation. CoRR (2022)
Quanyu Dai, Zhenhua Dong, Xu Chen
Debiased recommendation with neural stratification. AI Open 3 (2022)
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR (2021)
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM (2021)
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs. CoRR (2021)
Quanyu Dai, Xiao Shen, Zimu Zheng, Liang Zhang, Qiang Li, Dan Wang
Adversarial training regularization for negative sampling based network embedding. Inf. Sci. 579 (2021)
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM (2021)
Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. KDD (2021)
Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang
Dual Sequence Transformer for Query-based Interactive Recommendation. MDM (2021)
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR (2021)
Xiao Shen, Quanyu Dai, Sitong Mao, Fu-Lai Chung, Kup-Sze Choi
Network Together: Node Classification via Cross-Network Deep Network Embedding. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Zimu Zheng, Jie Pu, Linghui Liu, Dan Wang, Xiangming Mei, Sen Zhang, Quanyu Dai
Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning. ACM Trans. Intell. Syst. Technol. 11 (6) (2020)
Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi
Adversarial Deep Network Embedding for Cross-Network Node Classification. AAAI (2020)
Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration. IJCAI (2020)
Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi
Adversarial Deep Network Embedding for Cross-network Node Classification. CoRR (2020)
Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu
Adversarial Learning for Overlapping Community Detection and Network Embedding. ECAI (2020)
Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang
Metadata-driven Task Relation Discovery for Multi-task Learning. IJCAI (2019)
Quanyu Dai, Xiao Shen, Xiao-Ming Wu, Dan Wang
Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution. CoRR (2019)
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. CIKM (2019)
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. CoRR (2019)
Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang
Adversarial Training Methods for Network Embedding. CoRR (2019)
Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang
Ranking Network Embedding via Adversarial Learning. PAKDD (3) (2019)
Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang
Adversarial Training Methods for Network Embedding. WWW (2019)
Quanyu Dai, Qiang Li, Jian Tang, Dan Wang
Adversarial Network Embedding. AAAI (2018)
Quanyu Dai, Qiang Li, Jian Tang, Dan Wang
Adversarial Network Embedding. CoRR (2017)