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ORCIDRunze Wu 0001
Person information
- affiliation: NetEase Inc., Fuxi AI Lab, Hangzhou, China
- affiliation (PhD 2018): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Runze Wu (aka: Run-ze Wu) — disambiguation page
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2020 – today
- 2025
[j21]Junji Jiang, Likang Wu, Zhipeng Hu, Runze Wu, Xudong Shen, Hongke Zhao:
Knowledge enhanced graph contrastive learning for match outcome prediction. Inf. Process. Manag. 62(3): 104010 (2025)- [c48]Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu:
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation. ACL (1) 2025: 2750-2770 - [c47]Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu:
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. ACL (1) 2025: 15629-15644 - [c46]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:
Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling. KDD (2) 2025: 3366-3377 - [i26]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:
Digital Player: Evaluating Large Language Models based Human-like Agent in Games. CoRR abs/2502.20807 (2025) - [i25]Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu:
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. CoRR abs/2506.01048 (2025) - [i24]Haifeng Sun, Yu Xiong, Runze Wu, Kai Wang, Lan Zhang, Changjie Fan, Shaojie Tang, Xiang-Yang Li:
MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball. CoRR abs/2506.04602 (2025) - [i23]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:
Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling. CoRR abs/2506.04699 (2025) - [i22]Haifeng Sun, Yu Xiong, Runze Wu, Xinyu Cai, Changjie Fan, Lan Zhang, Xiang-Yang Li:
Fast-DataShapley: Neural Modeling for Training Data Valuation. CoRR abs/2506.05281 (2025) - [i21]Rui Wang, Renyu Zhu, Minmin Lin, Runze Wu, Tangjie Lv, Changjie Fan, Haobo Wang:
The Effects of Data Augmentation on Confidence Estimation for LLMs. CoRR abs/2506.11046 (2025) - [i20]Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenkai Chen, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang:
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System. CoRR abs/2509.14030 (2025) - 2024
- [j20]Zhipeng Hu, Haoyu Liu, Yu Xiong, Lizi Wang, Runze Wu, Kai Guan, Yujing Hu, Tangjie Lyu, Changjie Fan:
Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry. Multim. Tools Appl. 83(2): 6161-6182 (2024) - [j19]Zhen Zhu, Yibo Wang, Shouqing Yang, Lin Long, Runze Wu, Xiu Tang, Junbo Zhao, Haobo Wang:
CORAL: Collaborative Automatic Labeling System based on Large Language Models. Proc. VLDB Endow. 17(12): 4401-4404 (2024) - [j18]Shiwei Zhao, Jiaheng Qi, Zhipeng Hu, Han Yan, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan:
VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games. IEEE Trans. Games 16(3): 611-620 (2024) - [j17]Dongjin Yu, Xingliang Wang, Yu Xiong, Xudong Shen, Runze Wu, Dongjing Wang, Zhene Zou, Guandong Xu:
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games. ACM Trans. Intell. Syst. Technol. 15(4): 85:1-85:23 (2024) - [j16]Yilin Wang, Sha Zhao, Shiwei Zhao, Runze Wu, Yuhong Xu, Jianrong Tao, Tangjie Lv, Shijian Li, Zhipeng Hu, Gang Pan:
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG. ACM Trans. Knowl. Discov. Data 18(4): 91:1-91:26 (2024) - [j15]Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin:
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. ACM Trans. Inf. Syst. 42(3): 86:1-86:23 (2024) - [c45]Kai Wang, Haoyu Liu, Zhipeng Hu, Xiaochuan Feng, Minghao Zhao, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan:
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization. AAAI 2024: 9098-9106 - [c44]Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang:
Learning Geometry-Aware Representations for New Intent Discovery. ACL (1) 2024: 5641-5654 - [c43]Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang:
Unbiased Multi-Label Learning from Crowdsourced Annotations. ICML 2024 - [c42]Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen:
CoMAL: Contrastive Active Learning for Multi-Label Text Classification. KDD 2024: 2364-2375 - [c41]Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan:
MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning. KDD 2024: 5741-5751 - [c40]Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan:
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. KDD 2024: 6073-6082 - [c39]Xin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan:
Temporal Uplift Modeling for Online Marketing. KDD 2024: 6247-6256 - [c38]Liyang He, Zhenya Huang, Chenglong Liu, Rui Li, Runze Wu, Qi Liu, Enhong Chen:
One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network. ACM Multimedia 2024: 7162-7171 - [c37]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:
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. WWW (Companion Volume) 2024: 443-452 - [i19]Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan:
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. CoRR abs/2402.12685 (2024) - [i18]Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen:
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. CoRR abs/2403.08826 (2024) - [i17]Wenshui Luo, Haoyu Liu, Yongliang Ding, Tao Zhou, Sheng Wan, Runze Wu, Minmin Lin, Cong Zhang, Changjie Fan, Chen Gong:
Rank Aggregation in Crowdsourcing for Listwise Annotations. CoRR abs/2410.07538 (2024) - [i16]Liyang He, Yuren Zhang, Rui Li, Zhenya Huang, Runze Wu, Enhong Chen:
A Flexible Plug-and-Play Module for Generating Variable-Length. CoRR abs/2412.08922 (2024) - 2023
- [j14]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:
Deep learning applications in games: a survey from a data perspective. Appl. Intell. 53(24): 31129-31164 (2023) - [j13]Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu:
Differentiated matching for individual and average treatment effect estimation. Data Min. Knowl. Discov. 37(1): 205-227 (2023) - [j12]Xingliang Wang, Dongjing Wang, Dongjin Yu, Runze Wu, Qimeng Yang, Shuiguang Deng, Guandong Xu:
Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation. Neurocomputing 557: 126734 (2023) - [j11]Jianrong Tao, Yu Xiong, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan, Zhipeng Hu, Sha Zhao, Gang Pan:
Explainable AI for Cheating Detection and Churn Prediction in Online Games. IEEE Trans. Games 15(2): 242-251 (2023) - [j10]Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan:
Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection. IEEE Trans. Image Process. 32: 4327-4340 (2023) - [j9]Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu:
Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(5): 4989-5001 (2023) - [j8]Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li:
Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. 35(6): 6392-6404 (2023) - [j7]Xiang Wen, Shiwei Zhao, Haobo Wang, Runze Wu, Manhu Qu, Tianlei Hu, Gang Chen, Jianrong Tao, Changjie Fan:
Multi-Source Multi-Label Learning for User Profiling in Online Games. IEEE Trans. Multim. 25: 4135-4147 (2023) - [j6]Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Minghao Zhao, Changjie Fan, Hongke Zhao:
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games. ACM Trans. Inf. Syst. 41(1): 23:1-23:29 (2023) - [c36]Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 31-39 - [c35]Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang:
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. EMNLP 2023: 14520-14535 - [c34]Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. IJCAI 2023: 4442-4450 - [c33]Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui:
A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games. KDD 2023: 5303-5314 - [c32]Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan:
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. SIGIR 2023: 2935-2944 - [c31]Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo:
AutoMLP: Automated MLP for Sequential Recommendations. WWW 2023: 1190-1198 - [i15]Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2302.06872 (2023) - [i14]Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo:
AutoMLP: Automated MLP for Sequential Recommendations. CoRR abs/2303.06337 (2023) - [i13]Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang:
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. CoRR abs/2307.16889 (2023) - [i12]Jiashu Pu, Shiwei Zhao, Ling Cheng, Yongzhu Chang, Runze Wu, Tangjie Lv, Rongsheng Zhang:
Examining the Effect of Pre-training on Time Series Classification. CoRR abs/2309.05256 (2023) - [i11]Shuyang Liu, Zixuan Chen, Ge Shi, Ji Wang, Changjie Fan, Yu Xiong, Runze Wu, Yujing Hu, Ze Ji, Yang Gao:
Rethink Baseline of Integrated Gradients from the Perspective of Shapley Value. CoRR abs/2310.04821 (2023) - [i10]Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan:
Towards Long-term Annotators: A Supervised Label Aggregation Baseline. CoRR abs/2311.14709 (2023) - [i9]Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang:
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. CoRR abs/2311.15614 (2023) - 2022
- [j5]Qilin Deng, Minghao Zhao, Kai Wang, Runze Wu, Xudong Shen, Jianrong Tao, Changjie Fan:
Find Your Organization in MMORPGs. IEEE Trans. Games 14(3): 446-455 (2022) - [j4]Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang:
Balance-Subsampled Stable Prediction Across Unknown Test Data. ACM Trans. Knowl. Discov. Data 16(3): 45:1-45:21 (2022) - [j3]Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data 16(4): 74:1-74:20 (2022) - [j2]Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui:
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. ACM Trans. Inf. Syst. 40(2): 31:1-31:24 (2022) - [c30]Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan:
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. AAAI 2022: 4371-4378 - [c29]Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu:
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. AAAI 2022: 9040-9047 - [c28]Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv:
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge. AAAI 2022: 13212-13214 - [c27]Yueyang Su, Di Yao, Jingwei Li, Baoli Wang, Jingping Bi, Shiwei Zhao, Runze Wu, Jianrong Tao, Hao Deng:
Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model. ICANN (3) 2022: 456-468 - [c26]Sha Zhao, Junwei Fang, Shiwei Zhao, Runze Wu, Jianrong Tao, Shijian Li, Gang Pan:
T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs. ICDE 2022: 992-1003 - [c25]Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo:
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. IJCAI 2022: 2138-2144 - [c24]Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng:
Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. KDD 2022: 3941-3949 - [c23]Xianyang Qi, Jiashu Pu, Shiwei Zhao, Runze Wu, Jianrong Tao:
A GNN-Enhanced Game Bot Detection Model for MMORPGs. PAKDD (2) 2022: 316-327 - [c22]Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. SIGIR 2022: 50-59 - [c21]Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi:
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. WWW 2022: 3367-3375 - [c20]Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen:
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. WWW 2022: 3387-3395 - [c19]Jiashu Pu, Jianshi Lin, Xiaoxi Mao, Jianrong Tao, Xudong Shen, Yue Shang, Runze Wu:
Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking. WWW 2022: 3396-3406 - [d1]Kai Wang, Zhene Zou, Yue Shang, Qilin Deng, Minghao Zhao, Yile Liang, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lyu, Changjie Fan:
RL4RS Dataset. Zenodo, 2022
- [i8]Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan:
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection. CoRR abs/2203.00259 (2022) - [i7]Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo:
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. CoRR abs/2204.11510 (2022) - [i6]Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. CoRR abs/2204.12326 (2022) - [i5]Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng:
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. CoRR abs/2212.08890 (2022) - 2021
- [c18]Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao:
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. AAAI 2021: 4072-4080 - [c17]Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui:
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. AAAI 2021: 4427-4435 - [c16]Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding, Runze Wu, Tangjie Lv, Changjie Fan:
Prior Aided Streaming Network for Multi-task Affective Analysis. ICCVW 2021: 3532-3542 - [c15]Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang:
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. ICDM 2021: 210-219 - [c14]Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui:
Globally Optimized Matchmaking in Online Games. KDD 2021: 2753-2763 - [c13]Qilin Deng, Kai Wang, Minghao Zhao, Runze Wu, Yu Ding, Zhene Zou, Yue Shang, Jianrong Tao, Changjie Fan:
Build Your Own Bundle - A Neural Combinatorial Optimization Method. ACM Multimedia 2021: 2625-2633 - [i4]Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui:
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. CoRR abs/2104.02981 (2021) - [i3]Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen:
Personalized Bundle Recommendation in Online Games. CoRR abs/2104.05307 (2021) - [i2]Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR abs/2107.05884 (2021) - [i1]Kai Wang, Zhene Zou, Qilin Deng, Yue Shang, Minghao Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan:
RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System. CoRR abs/2110.11073 (2021) - 2020
- [c12]Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Hao Li, Changjie Fan:
Multi-source Data Multi-task Learning for Profiling Players in Online Games. CoG 2020: 104-111 - [c11]Jianrong Tao, Yu Xiong, Shiwei Zhao, Yuhong Xu, Jianshi Lin, Runze Wu, Changjie Fan:
XAI-Driven Explainable Multi-view Game Cheating Detection. CoG 2020: 144-151 - [c10]Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen:
Personalized Bundle Recommendation in Online Games. CIKM 2020: 2381-2388 - [c9]Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui:
Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. CIKM 2020: 2781-2788 - [c8]Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen:
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. CIKM 2020: 2813-2820 - [c7]Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, Peng Cui:
OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena. KDD 2020: 2300-2310
2010 – 2019
- 2019
- [c6]Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, Peng Cui:
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games. KDD 2019: 2536-2546 - 2018
- [j1]Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu:
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance. ACM Trans. Intell. Syst. Technol. 9(4): 48:1-48:26 (2018) - [c5]Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang:
Confidence-Aware Matrix Factorization for Recommender Systems. AAAI 2018: 434-442 - 2017
- [c4]Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu:
Tracking Knowledge Proficiency of Students with Educational Priors. CIKM 2017: 989-998 - [c3]Runze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng:
Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response. WWW (Companion Volume) 2017: 321-329 - 2016
- [c2]Yuping Liu, Qi Liu, Runze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu:
Collaborative Learning Team Formation: A Cognitive Modeling Perspective. DASFAA (2) 2016: 383-400 - 2015
- [c1]Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu:
Cognitive Modelling for Predicting Examinee Performance. IJCAI 2015: 1017-1024
Coauthor Index
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