Kai Wang

According to our database, Kai Wang authored at least 21 papers between 2020 and 2025.

Collaborative distances:

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

2025

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling.

Bihan Xu, Shiwei Zhao, Runze Wu, Zhenya Huang, Jiawei Wang, Zhipeng Hu, Kai Wang, Haoyu Liu, Tangjie Lv, Le Li, Changjie Fan, Xin T. Tong, Jiangze Han

CoRR, June, 2025

MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball.

Haifeng Sun, Yu Xiong, Runze Wu, Kai Wang, Lan Zhang, Changjie Fan, Shaojie Tang, Xiang-Yang Li

CoRR, June, 2025

Digital Player: Evaluating Large Language Models based Human-like Agent in Games.

Jiawei Wang, Kai Wang, Shaojie Lin, Runze Wu, Bihan Xu, Lingeng Jiang, Shiwei Zhao, Renyu Zhu, Haoyu Liu, Zhipeng Hu, Zhong Fan, Le Li, Tangjie Lyu, Changjie Fan

CoRR, February, 2025

2024

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.

Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Temporal Uplift Modeling for Online Marketing.

Xin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning.

Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization.

Kai Wang, Haoyu Liu, Zhipeng Hu, Xiaochuan Feng, Minghao Zhao, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan

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

2023

Deep learning applications in games: a survey from a data perspective.

Zhipeng Hu, Yu Ding, Runze Wu, Lincheng Li, Rongsheng Zhang, Yujing Hu, Feng Qiu, Zhimeng Zhang, Kai Wang, Shiwei Zhao, Yongqiang Zhang, Ji Jiang, Yadong Xi, Jiashu Pu, Wei Zhang, Suzhen Wang, Ke Chen, Tianze Zhou, Jiarui Chen, Yan Song, Tangjie Lv, Changjie Fan

Appl. Intell., December, 2023

Towards Long-term Annotators: A Supervised Label Aggregation Baseline.

Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan

CoRR, 2023

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System.

Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan

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

2022

RL4RS Dataset.

Kai Wang, Zhene Zou, Yue Shang, Qilin Deng, Minghao Zhao, Yile Liang, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lyu, Changjie Fan

Dataset, June, 2022

Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks.

Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui

ACM Trans. Inf. Syst., 2022

Find Your Organization in MMORPGs.

Qilin Deng, Minghao Zhao, Kai Wang, Runze Wu, Xudong Shen, Jianrong Tao, Changjie Fan

IEEE Trans. Games, 2022

PPPNE: Personalized proximity preserved network embedding.

Ge Fan, Biao Geng, Jianrong Tao, Kai Wang, Changjie Fan, Wei Zeng

Neurocomputing, 2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu

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

2021

RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System.

Kai Wang, Zhene Zou, Qilin Deng, Yue Shang, Minghao Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan

CoRR, 2021

Build Your Own Bundle - A Neural Combinatorial Optimization Method.

Qilin Deng, Kai Wang, Minghao Zhao, Runze Wu, Yu Ding, Zhene Zou, Yue Shang, Jianrong Tao, Changjie Fan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Globally Optimized Matchmaking in Online Games.

Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui

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

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation.

Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation.

Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Personalized Bundle Recommendation in Online Games.

Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020