Skip to content
cs-conference-ranking.org

Quanyu Dai

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

45

Venues

15

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

45 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLFrom Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents.Haoran Tan, Zeyu Zhang, Chen Ma, Tianze Liu, Quanyu Dai, Xu Chen
2026WWWOptimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation.Xueyang Feng, Jiakai Tang, Xu Chen, Quanyu Dai, Zhenhua Dong
2025ACLMIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation.Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong
2025ACLExpectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent.Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong
2025ACLMemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents.Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, Zhenhua Dong
2025ACLSocialEval: Evaluating Social Intelligence of Large Language Models.Jinfeng Zhou, Yuxuan Chen, Yihan Shi, Xuanming Zhang, Leqi Lei, Yi Feng, Zexuan Xiong, Miao Yan, Xunzhi Wang, Yaru Cao, Jianing Yin, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang
2025IJCAIBreaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models.Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo
2025KDDKnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025NAACLImproving Retrospective Language Agents via Joint Policy Gradient Optimization.Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025WWWRecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems.Luyu Chen, Quanyu Dai, Zeyu Zhang, Xueyang Feng, Mingyu Zhang, Pengcheng Tang, Xu Chen, Yue Zhu, Zhenhua Dong
2025WWWMCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025WWWEAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration.Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao
2025WWWMemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong
2024AAAIWould You Like Your Data to Be Trained? A User Controllable Recommendation Framework.Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai
2024CIKMUniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng
2024ICASSPActive Explainable Recommendation with Limited Labeling Budgets.Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
2024ICDEModeling User Attention in Music Recommendation.Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
2024KDDMultimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024WWWBenchmarking News Recommendation in the Era of Green AI.Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
2023AAAIMultiple Robust Learning for Recommendation.Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
2023ICDESequential Recommendation with User Causal Behavior Discovery.Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen
2023ICLROut-of-distribution Detection with Implicit Outlier Transformation.Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2023WWWTask 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
2023WWWRecommendation with Causality enhanced Natural Language Explanations.Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang
2023SIGIRRobust Causal Inference for Recommender System to Overcome Noisy Confounders.Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
2023SIGIRFINAL: Factorized Interaction Layer for CTR Prediction.Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
2022CIKMLCD: Adaptive Label Correction for Denoising Music Recommendation.Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
2022COLINGBoosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu
2022IJCAIOn 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
2022KDDA 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
2022KDDCounteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
2022SIGIRReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022SIGIRBARS: Towards Open Benchmarking for Recommender Systems.Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
2021CIKMSimpleX: A Simple and Strong Baseline for Collaborative Filtering.Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
2021CIKMTop-N Recommendation with Counterfactual User Preference Simulation.Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2021KDDDimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu
2021MDMDual Sequence Transformer for Query-based Interactive Recommendation.Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang
2020AAAIAdversarial Deep Network Embedding for Cross-Network Node Classification.Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi
2020ECAIAdversarial Learning for Overlapping Community Detection and Network Embedding.Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu
2020IJCAIAn 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
2019CIKMRegularized 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
2019IJCAIMetadata-driven Task Relation Discovery for Multi-task Learning.Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang
2019PAKDDRanking Network Embedding via Adversarial Learning.Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang
2019WWWAdversarial Training Methods for Network Embedding.Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang
2018AAAIAdversarial Network Embedding.Quanyu Dai, Qiang Li, Jian Tang, Dan Wang