Quanyu Dai

106 papers A* 28A 6B 2Misc 1Journal 58Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Does Personalized Memory Shape LLM Behavior? Benchmarking Rational Preference Utilization in Personalized Assistants.
CoRR
Xueyang Feng, Weinan Gan, Xu Chen, Quanyu Dai, Yong Liu
2026 J jnl
MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation.
CoRR
Qihang Yu, Kairui Fu, Zhaocheng Du, Yuxuan Si, Kaiyuan Li, Weihao Zhao, Zhicheng Zhang, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Shengyu Zhang, Kun Kuang, Fei Wu
2026 A* conf
Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation.
WWW
Xueyang Feng, Jiakai Tang, Xu Chen, Quanyu Dai, Zhenhua Dong
2026 J jnl
Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective.
CoRR
Rui Li, Zeyu Zhang, Xiaohe Bo, Quanyu Dai, Chaozhuo Li, Feng Wen, Xu Chen
2025 J jnl
A Survey of Personalized Large Language Models: Progress and Future Directions.
CoRR
Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, Irwin King
2025 J jnl
A Survey on the Memory Mechanism of Large Language Model-based Agents.
ACM Trans. Inf. Syst.
Zeyu Zhang, Quanyu Dai, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge.
CoRR
Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Hao Yang, Zhenhua Dong, Xu Chen
2025 A* conf
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models.
IJCAI
Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo
2025 J jnl
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension.
CoRR
Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
2025 A* conf
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration.
WWW
Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao
2025 J jnl
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration.
CoRR
Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao
2025 J jnl
Enhancing the Preference Extractor in Multi-turn Dialogues: From Annotating Disasters to Accurate Preference Extraction.
CoRR
Cheng Wang, Ziru Liu, Pengcheng Tang, Mingyu Zhang, Quanyu Dai, Yue Zhu
2025 J jnl
Evaluating Conversational Recommender Systems with Large Language Models: A User-Centric Evaluation Framework.
CoRR
Nuo Chen, Quanyu Dai, Xiaoyu Dong, Xiao-Ming Wu, Zhenhua Dong
2025 — conf
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent.
ACL (Findings)
Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong
2025 J jnl
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent.
CoRR
Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong
2025 — conf
Improving Retrospective Language Agents via Joint Policy Gradient Optimization.
NAACL (Long Papers)
Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
Improving Retrospective Language Agents via Joint Policy Gradient Optimization.
CoRR
Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 — conf
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.
KDD (2)
Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.
CoRR
Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework.
CoRR
Zeyu Zhang, Quanyu Dai, Rui Li, Xiaohe Bo, Xu Chen, Zhenhua Dong
2025 J jnl
MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation.
CoRR
Haojie Wei, Jun Yuan, Rui Zhang, Quanyu Dai, Yueguo Chen
2025 A* conf
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
WWW
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025 J jnl
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
CoRR
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025 — conf
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation.
ACL (6)
Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong
2025 J jnl
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation.
CoRR
Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong
2025 — conf
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents.
ACL (Findings)
Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, Zhenhua Dong
2025 J jnl
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents.
CoRR
Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, Zhenhua Dong
2025 — conf
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.
WWW (Companion Volume)
Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong
2025 J jnl
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.
CoRR
Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong
2025 J jnl
Prompt and Parameter Co-Optimization for Large Language Models.
CoRR
Xiaohe Bo, Rui Li, Zexu Sun, Quanyu Dai, Zeyu Zhang, Zihang Tian, Xu Chen, Zhenhua Dong
2025 — conf
RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems.
WWW (Companion Volume)
Luyu Chen, Quanyu Dai, Zeyu Zhang, Xueyang Feng, Mingyu Zhang, Pengcheng Tang, Xu Chen, Yue Zhu, Zhenhua Dong
2025 J jnl
RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems.
CoRR
Luyu Chen, Quanyu Dai, Zeyu Zhang, Xueyang Feng, Mingyu Zhang, Pengcheng Tang, Xu Chen, Yue Zhu, Zhenhua Dong
2025 — conf
SocialEval: Evaluating Social Intelligence of Large Language Models.
ACL (1)
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
2025 J jnl
SocialEval: Evaluating Social Intelligence of Large Language Models.
CoRR
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
2025 J jnl
Think Socially via Cognitive Reasoning.
CoRR
Jinfeng Zhou, Zheyu Chen, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang
2024 J jnl
A Survey on the Memory Mechanism of Large Language Model based Agents.
CoRR
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
2024 Misc conf
Active Explainable Recommendation with Limited Labeling Budgets.
ICASSP
Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
2024 — conf
Benchmarking News Recommendation in the Era of Green AI.
WWW (Companion Volume)
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
2024 J jnl
Benchmarking News Recommendation in the Era of Green AI.
CoRR
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
2024 A* conf
MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation.
ACM Multimedia
Haojie Wei, Jun Yuan, Rui Zhang, Quanyu Dai, Yueguo Chen
2024 J jnl
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants.
CoRR
Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen
2024 A* conf
Modeling User Attention in Music Recommendation.
ICDE
Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
2024 A* conf
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
KDD
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024 J jnl
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
CoRR
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024 A* conf
Reflective Multi-Agent Collaboration based on Large Language Models.
NeurIPS
Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen
2024 J jnl
Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy.
Neurocomputing
Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok
2024 A conf
UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.
CIKM
Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng
2024 A* conf
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework.
AAAI
Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai
2023 J jnl
Adversarially regularized graph attention networks for inductive learning on partially labeled graphs.
Knowl. Based Syst.
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok
2023 J jnl
Domain Adaptive Graph Infomax via Conditional Adversarial Networks.
IEEE Trans. Netw. Sci. Eng.
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, Qi Dou, Ka-Wai Kwok, James Lam
2023 A* conf
FINAL: Factorized Interaction Layer for CTR Prediction.
SIGIR
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
2023 J jnl
Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution.
IEEE Trans. Knowl. Data Eng.
Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang
2023 A* conf
Multiple Robust Learning for Recommendation.
AAAI
Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
2023 J jnl
Only Encode Once: Making Content-based News Recommender Greener.
CoRR
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu
2023 A* conf
Optimal Transport for Treatment Effect Estimation.
NeurIPS
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 J jnl
Optimal Transport for Treatment Effect Estimation.
CoRR
Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 A* conf
Out-of-distribution Detection with Implicit Outlier Transformation.
ICLR
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2023 J jnl
Out-of-distribution Detection with Implicit Outlier Transformation.
CoRR
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2023 A* conf
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.
NeurIPS
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
2023 J jnl
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.
CoRR
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen
2023 A* conf
Recommendation with Causality enhanced Natural Language Explanations.
WWW
Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang
2023 A* conf
Robust Causal Inference for Recommender System to Overcome Noisy Confounders.
SIGIR
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
2023 J jnl
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy.
CoRR
Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok
2023 A* conf
Sequential Recommendation with User Causal Behavior Discovery.
ICDE
Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen
2023 — conf
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation.
WWW (Companion Volume)
Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang
2022 A* conf
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
KDD
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
2022 J jnl
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
CoRR
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
2022 J jnl
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.
CoRR
Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou
2022 A* conf
BARS: Towards Open Benchmarking for Recommender Systems.
SIGIR
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
2022 J jnl
BARS: Towards Open Benchmarking for Recommender Systems.
CoRR
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
2022 B conf
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.
COLING
Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu
2022 J jnl
Causal Analysis Framework for Recommendation.
CoRR
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
2022 A* conf
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.
KDD
Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
2022 J jnl
Debiased Recommendation with Neural Stratification.
CoRR
Quanyu Dai, Zhenhua Dong, Xu Chen
2022 J jnl
Debiased recommendation with neural stratification.
AI Open
Quanyu Dai, Zhenhua Dong, Xu Chen
2022 A conf
LCD: Adaptive Label Correction for Denoising Music Recommendation.
CIKM
Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
2022 A* conf
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.
IJCAI
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
2022 J jnl
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks.
Pattern Recognit.
Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang
2022 A* conf
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
SIGIR
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022 J jnl
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
CoRR
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022 J jnl
Recommendation with User Active Disclosing Willingness.
CoRR
Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong
2022 J jnl
Sequential Recommendation with Causal Behavior Discovery.
CoRR
Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
2022 J jnl
Social Attentive Deep Q-Networks for Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei, Quanyu Dai
2021 J jnl
Adversarial training regularization for negative sampling based network embedding.
Inf. Sci.
Quanyu Dai, Xiao Shen, Zimu Zheng, Liang Zhang, Qiang Li, Dan Wang
2021 J jnl
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs.
CoRR
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, James Lam, Ka-Wai Kwok
2021 A* conf
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.
KDD
Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu
2021 B conf
Dual Sequence Transformer for Query-based Interactive Recommendation.
MDM
Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang
2021 J jnl
Network Together: Node Classification via Cross-Network Deep Network Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Xiao Shen, Quanyu Dai, Sitong Mao, Fu-Lai Chung, Kup-Sze Choi
2021 A conf
SimpleX: A Simple and Strong Baseline for Collaborative Filtering.
CIKM
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
2021 J jnl
SimpleX: A Simple and Strong Baseline for Collaborative Filtering.
CoRR
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
2021 A conf
Top-N Recommendation with Counterfactual User Preference Simulation.
CIKM
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2021 J jnl
Top-N Recommendation with Counterfactual User Preference Simulation.
CoRR
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2020 A* conf
Adversarial Deep Network Embedding for Cross-Network Node Classification.
AAAI
Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi
2020 J jnl
Adversarial Deep Network Embedding for Cross-network Node Classification.
CoRR
Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi
2020 A conf
Adversarial Learning for Overlapping Community Detection and Network Embedding.
ECAI
Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu
2020 A* conf
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration.
IJCAI
Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan
2020 J jnl
Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning.
ACM Trans. Intell. Syst. Technol.
Zimu Zheng, Jie Pu, Linghui Liu, Dan Wang, Xiangming Mei, Sen Zhang, Quanyu Dai
2019 A* conf
Adversarial Training Methods for Network Embedding.
WWW
Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang
2019 J jnl
Adversarial Training Methods for Network Embedding.
CoRR
Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang
2019 A* conf
Metadata-driven Task Relation Discovery for Multi-task Learning.
IJCAI
Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang
2019 J jnl
Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution.
CoRR
Quanyu Dai, Xiao Shen, Xiao-Ming Wu, Dan Wang
2019 — conf
Ranking Network Embedding via Adversarial Learning.
PAKDD (3)
Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang
2019 A conf
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.
CIKM
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
2019 J jnl
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.
CoRR
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
2018 A* conf
Adversarial Network Embedding.
AAAI
Quanyu Dai, Qiang Li, Jian Tang, Dan Wang
2017 J jnl
Adversarial Network Embedding.
CoRR
Quanyu Dai, Qiang Li, Jian Tang, Dan Wang