Runze Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
16
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Select Before Use: On the Importance of Reference Model Selection in Preference Alignment. | Muyang Li, Runze Wu, Xiangyu Zhao, Bo Han, Daoyi Dong, Tongliang Liu |
| 2026 | WWW | The Power of Penalties: Negativity-Aware Incentives for High-Quality Crowdsourced Data Labeling. | Kai Wang, Runze Wu, Yu Xiong, Haifeng Sun, Anran Li, Shaojie Tang, Changjie Fan, Xiang-Yang Li |
| 2026 | WSDM | Fast-DataShapley: Neural Modeling for Training Data Valuation. | Haifeng Sun, Yu Xiong, Runze Wu, Xinyu Cai, Changjie Fan, Lan Zhang, Xiang-Yang Li |
| 2025 | ACL | IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. | Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu |
| 2025 | ACL | Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation. | Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu |
| 2025 | EMNLP | CrowdAgent: Multi-Agent Managed Multi-Source Annotation System. | Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenkai Chen, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang |
| 2025 | EMNLP | Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications. | Kai Tang, Rui Wang, Renyu Zhu, Minmin Lin, Xiao Ding, Tangjie Lv, Changjie Fan, Runze Wu, Haobo Wang |
| 2025 | KDD | 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 |
| 2024 | AAAI | 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 |
| 2024 | ACL | Learning Geometry-Aware Representations for New Intent Discovery. | Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang |
| 2024 | ICML | Towards Realistic Model Selection for Semi-supervised Learning. | Muyang Li, Xiaobo Xia, Runze Wu, Fengming Huang, Jun Yu, Bo Han, Tongliang Liu |
| 2024 | ICML | Unbiased Multi-Label Learning from Crowdsourced Annotations. | Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang |
| 2024 | KDD | CoMAL: Contrastive Active Learning for Multi-Label Text Classification. | Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen |
| 2024 | KDD | 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 |
| 2024 | KDD | XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. | Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan |
| 2024 | KDD | Temporal Uplift Modeling for Online Marketing. | Xin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan |
| 2024 | WWW | 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 |
| 2023 | EMNLP | FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. | Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang |
| 2023 | IJCAI | ProMix: Combating Label Noise via Maximizing Clean Sample Utility. | Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao |
| 2023 | KDD | A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games. | Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui |
| 2023 | WWW | AutoMLP: Automated MLP for Sequential Recommendations. | Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo |
| 2023 | SIGIR | 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 |
| 2022 | AAAI | EasySM: A Data-Driven Intelligent Decision Support System for Server Merge. | Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv |
| 2022 | AAAI | Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. | Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu |
| 2022 | AAAI | Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. | Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan |
| 2022 | ICANN | Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model. | Yueyang Su, Di Yao, Jingwei Li, Baoli Wang, Jingping Bi, Shiwei Zhao, Runze Wu, Jianrong Tao, Hao Deng |
| 2022 | ICDE | T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs. | Sha Zhao, Junwei Fang, Shiwei Zhao, Runze Wu, Jianrong Tao, Shijian Li, Gang Pan |
| 2022 | IJCAI | MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. | Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo |
| 2022 | KDD | Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. | Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng |
| 2022 | PAKDD | A GNN-Enhanced Game Bot Detection Model for MMORPGs. | Xianyang Qi, Jiashu Pu, Shiwei Zhao, Runze Wu, Jianrong Tao |
| 2022 | WWW | FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. | Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi |
| 2022 | WWW | Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking. | Jiashu Pu, Jianshi Lin, Xiaoxi Mao, Jianrong Tao, Xudong Shen, Yue Shang, Runze Wu |
| 2022 | WWW | Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. | Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen |
| 2022 | SIGIR | 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 |
| 2021 | AAAI | NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. | Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao |
| 2021 | AAAI | 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 |
| 2021 | ICDM | Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. | Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang |
| 2021 | KDD | Globally Optimized Matchmaking in Online Games. | Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui |
| 2020 | CIKM | Personalized Bundle Recommendation in Online Games. | Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen |
| 2020 | CIKM | 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 |
| 2020 | CIKM | Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. | Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen |
| 2020 | KDD | OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena. | Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, Peng Cui |
| 2019 | KDD | MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games. | Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, Peng Cui |
| 2018 | AAAI | Confidence-Aware Matrix Factorization for Recommender Systems. | Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang |
| 2017 | CIKM | Tracking Knowledge Proficiency of Students with Educational Priors. | Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu |
| 2017 | IECON | Energy router interface model based on bidirectional flow control for intelligent park. | Runze Wu, Bixiao Wang, Yingjie Zou, Bing Fan, Li Li, Zhengjia Zhu |
| 2017 | WWW | Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response. | Runze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng |
| 2016 | DASFAA | Collaborative Learning Team Formation: A Cognitive Modeling Perspective. | Yuping Liu, Qi Liu, Runze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu |
| 2015 | IJCAI | Cognitive Modelling for Predicting Examinee Performance. | Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu |