Kai Wang

25 papers A* 9A 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
The Power of Penalties: Negativity-Aware Incentives for High-Quality Crowdsourced Data Labeling.
WWW
Kai Wang, Runze Wu, Yu Xiong, Haifeng Sun, Anran Li, Shaojie Tang, Changjie Fan, Xiang-Yang Li
2025 J jnl
Digital Player: Evaluating Large Language Models based Human-like Agent in Games.
CoRR
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
2025 — conf
Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling.
KDD (2)
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
2025 J jnl
Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling.
CoRR
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
2025 J jnl
MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball.
CoRR
Haifeng Sun, Yu Xiong, Runze Wu, Kai Wang, Lan Zhang, Changjie Fan, Shaojie Tang, Xiang-Yang Li
2024 A* conf
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization.
AAAI
Kai Wang, Haoyu Liu, Zhipeng Hu, Xiaochuan Feng, Minghao Zhao, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan
2024 A* conf
MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning.
KDD
Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan
2024 A* conf
Temporal Uplift Modeling for Online Marketing.
KDD
Xin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan
2024 — conf
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.
WWW (Companion Volume)
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
2023 J jnl
Deep learning applications in games: a survey from a data perspective.
Appl. Intell.
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
2023 A* conf
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System.
SIGIR
Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan
2023 J jnl
Towards Long-term Annotators: A Supervised Label Aggregation Baseline.
CoRR
Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan
2022 J jnl
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks.
ACM Trans. Inf. Syst.
Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui
2022 J jnl
Find Your Organization in MMORPGs.
IEEE Trans. Games
Qilin Deng, Minghao Zhao, Kai Wang, Runze Wu, Xudong Shen, Jianrong Tao, Changjie Fan
2022 A* conf
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.
SIGIR
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
2022 J jnl
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.
CoRR
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
2022 J jnl
PPPNE: Personalized proximity preserved network embedding.
Neurocomputing
Ge Fan, Biao Geng, Jianrong Tao, Kai Wang, Changjie Fan, Wei Zeng
2021 A* conf
Build Your Own Bundle - A Neural Combinatorial Optimization Method.
ACM Multimedia
Qilin Deng, Kai Wang, Minghao Zhao, Runze Wu, Yu Ding, Zhene Zou, Yue Shang, Jianrong Tao, Changjie Fan
2021 A* conf
Globally Optimized Matchmaking in Online Games.
KDD
Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui
2021 J jnl
Personalized Bundle Recommendation in Online Games.
CoRR
Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen
2021 J jnl
RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System.
CoRR
Kai Wang, Zhene Zou, Qilin Deng, Yue Shang, Minghao Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan
2021 A* conf
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation.
AAAI
Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2021 J jnl
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation.
CoRR
Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui
2020 A conf
Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation.
CIKM
Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2020 A conf
Personalized Bundle Recommendation in Online Games.
CIKM
Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen