Dai, Quanyu

15 publications

IJCAI 2025 Breaking 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
NeurIPS 2025 CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
NeurIPS 2025 Distributional LLM-as-a-Judge Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Hao Yang, Zhenhua Dong, Xu Chen
NeurIPS 2025 MemSim: A Bayesian Simulator for Evaluating Memory of LLM-Based Personal Assistants Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen
NeurIPS 2024 Reflective Multi-Agent Collaboration Based on Large Language Models Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen
AAAI 2024 Would You like Your Data to Be Trained? a User Controllable Recommendation Framework Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai
AAAI 2023 Multiple Robust Learning for Recommendation Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
NeurIPS 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
ICLR 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
NeurIPS 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
IJCAI 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
AAAI 2020 Adversarial Deep Network Embedding for Cross-Network Node Classification Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi
IJCAI 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
IJCAI 2019 Metadata-Driven Task Relation Discovery for Multi-Task Learning Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang
AAAI 2018 Adversarial Network Embedding Quanyu Dai, Qiang Li, Jian Tang, Dan Wang