Runze Wu

104 papers A* 33A 6C 2Journal 50Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
DPBL: Denoised Player Behavior Representation Learning.
IEEE Trans. Games
Wenbin Li, Di Yao, Zijie Xu, Chang Gong, Quanliang Jing, Shiwei Zhao, Runze Wu, Haining Tan, Zhipeng Hu, Tangjie Lv, Changjie Fan, Jingping Bi
2026 A conf
Fast-DataShapley: Neural Modeling for Training Data Valuation.
WSDM
Haifeng Sun, Yu Xiong, Runze Wu, Xinyu Cai, Changjie Fan, Lan Zhang, Xiang-Yang Li
2026 J jnl
Online label aggregation with incomplete crowd responses.
J. King Saud Univ. Comput. Inf. Sci.
Yuyang Liu, Haoyu Liu, Runze Wu, Chengliang Chai, Minmin Lin, Renyu Zhu, Hui Liu, Tangjie Lv, Changjie Fan
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 — conf
AI as Game Designer: Achieving Optimal Level Balance Through LLM-Based System.
BESC (3)
Yiwei Huang, Shiwei Zhao, Runze Wu, Jiale Wei, Zhipeng Hu, Ping Wang, Tangjie Lv, Le Li, Changjie Fan
2025 — conf
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System.
EMNLP (System Demonstrations)
Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenkai Chen, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang
2025 J jnl
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System.
CoRR
Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenkai Chen, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang
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
Fast-DataShapley: Neural Modeling for Training Data Valuation.
CoRR
Haifeng Sun, Yu Xiong, Runze Wu, Xinyu Cai, Changjie Fan, Lan Zhang, Xiang-Yang Li
2025 — conf
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory.
ACL (1)
Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu
2025 J jnl
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory.
CoRR
Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu
2025 J jnl
Knowledge enhanced graph contrastive learning for match outcome prediction.
Inf. Process. Manag.
Junji Jiang, Likang Wu, Zhipeng Hu, Runze Wu, Xudong Shen, Hongke Zhao
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
2025 — conf
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.
ACL (1)
Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu
2025 J jnl
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.
CoRR
Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu
2025 — conf
SHAP-RM: Interpretable Reward Model Evaluation for Text Generation Quality Assessment in Role-Playing Dialogue Systems.
BESC (3)
Zimo Jin, Yu Xiong, Changjie Fan, Runze Wu, Zhipeng Hu, Tangjie Lv
2025 J jnl
The Effects of Data Augmentation on Confidence Estimation for LLMs.
CoRR
Rui Wang, Renyu Zhu, Minmin Lin, Runze Wu, Tangjie Lv, Changjie Fan, Haobo Wang
2025 A* conf
Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications.
EMNLP
Kai Tang, Rui Wang, Renyu Zhu, Minmin Lin, Xiao Ding, Tangjie Lv, Changjie Fan, Runze Wu, Haobo Wang
2024 J jnl
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR
Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen
2024 J jnl
A Flexible Plug-and-Play Module for Generating Variable-Length.
CoRR
Liyang He, Yuren Zhang, Rui Li, Zhenya Huang, Runze Wu, Enhong Chen
2024 J jnl
CORAL: Collaborative Automatic Labeling System based on Large Language Models.
Proc. VLDB Endow.
Zhen Zhu, Yibo Wang, Shouqing Yang, Lin Long, Runze Wu, Xiu Tang, Junbo Zhao, Haobo Wang
2024 A* conf
CoMAL: Contrastive Active Learning for Multi-Label Text Classification.
KDD
Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen
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 — conf
Learning Geometry-Aware Representations for New Intent Discovery.
ACL (1)
Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang
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 J jnl
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games.
ACM Trans. Intell. Syst. Technol.
Dongjin Yu, Xingliang Wang, Yu Xiong, Xudong Shen, Runze Wu, Dongjing Wang, Zhene Zou, Guandong Xu
2024 A* conf
One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network.
ACM Multimedia
Liyang He, Zhenya Huang, Chenglong Liu, Rui Li, Runze Wu, Qi Liu, Enhong Chen
2024 J jnl
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG.
ACM Trans. Knowl. Discov. Data
Yilin Wang, Sha Zhao, Shiwei Zhao, Runze Wu, Yuhong Xu, Jianrong Tao, Tangjie Lv, Shijian Li, Zhipeng Hu, Gang Pan
2024 J jnl
Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry.
Multim. Tools Appl.
Zhipeng Hu, Haoyu Liu, Yu Xiong, Lizi Wang, Runze Wu, Kai Guan, Yujing Hu, Tangjie Lyu, Changjie Fan
2024 J jnl
Rank Aggregation in Crowdsourcing for Listwise Annotations.
CoRR
Wenshui Luo, Haoyu Liu, Yongliang Ding, Tao Zhou, Sheng Wan, Runze Wu, Minmin Lin, Cong Zhang, Changjie Fan, Chen Gong
2024 J jnl
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.
ACM Trans. Inf. Syst.
Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin
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
2024 A* conf
Unbiased Multi-Label Learning from Crowdsourced Annotations.
ICML
Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang
2024 J jnl
VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games.
IEEE Trans. Games
Shiwei Zhao, Jiaheng Qi, Zhipeng Hu, Han Yan, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan
2024 A* conf
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques.
KDD
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 J jnl
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques.
CoRR
Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan
2023 A* conf
A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games.
KDD
Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui
2023 A conf
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning.
AAMAS
Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023 J jnl
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023 A* conf
AutoMLP: Automated MLP for Sequential Recommendations.
WWW
Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
2023 J jnl
AutoMLP: Automated MLP for Sequential Recommendations.
CoRR
Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
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 J jnl
Differentiated matching for individual and average treatment effect estimation.
Data Min. Knowl. Discov.
Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu
2023 J jnl
Examining the Effect of Pre-training on Time Series Classification.
CoRR
Jiashu Pu, Shiwei Zhao, Ling Cheng, Yongzhu Chang, Runze Wu, Tangjie Lv, Rongsheng Zhang
2023 J jnl
Explainable AI for Cheating Detection and Churn Prediction in Online Games.
IEEE Trans. Games
Jianrong Tao, Yu Xiong, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan, Zhipeng Hu, Sha Zhao, Gang Pan
2023 A* conf
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.
EMNLP
Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang
2023 J jnl
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.
CoRR
Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang
2023 J jnl
Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation.
Neurocomputing
Xingliang Wang, Dongjing Wang, Dongjin Yu, Runze Wu, Qimeng Yang, Shuiguang Deng, Guandong Xu
2023 J jnl
Learning Decomposed Representations for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng.
Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu
2023 J jnl
Multi-Source Multi-Label Learning for User Profiling in Online Games.
IEEE Trans. Multim.
Xiang Wen, Shiwei Zhao, Haobo Wang, Runze Wu, Manhu Qu, Tianlei Hu, Gang Chen, Jianrong Tao, Changjie Fan
2023 J jnl
Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection.
IEEE Trans. Image Process.
Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan
2023 A* conf
ProMix: Combating Label Noise via Maximizing Clean Sample Utility.
IJCAI
Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao
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
Rethink Baseline of Integrated Gradients from the Perspective of Shapley Value.
CoRR
Shuyang Liu, Zixuan Chen, Ge Shi, Ji Wang, Changjie Fan, Yu Xiong, Runze Wu, Yujing Hu, Ze Ji, Yang Gao
2023 J jnl
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.
CoRR
Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang
2023 J jnl
Stable Prediction With Leveraging Seed Variable.
IEEE Trans. Knowl. Data Eng.
Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
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
2023 J jnl
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games.
ACM Trans. Inf. Syst.
Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Minghao Zhao, Changjie Fan, Hongke Zhao
2022 — conf
A GNN-Enhanced Game Bot Detection Model for MMORPGs.
PAKDD (2)
Xianyang Qi, Jiashu Pu, Shiwei Zhao, Runze Wu, Jianrong Tao
2022 J jnl
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
ACM Trans. Knowl. Discov. Data
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
2022 J jnl
Balance-Subsampled Stable Prediction Across Unknown Test Data.
ACM Trans. Knowl. Discov. Data
Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang
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 A* conf
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach.
AAAI
Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu
2022 A* conf
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge.
AAAI
Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv
2022 A* conf
Few-shot Learning for Trajectory-based Mobile Game Cheating Detection.
KDD
Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng
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
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection.
WWW
Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi
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 A* conf
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.
IJCAI
Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
2022 J jnl
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.
CoRR
Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
2022 A* conf
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach.
AAAI
Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan
2022 J jnl
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection.
CoRR
Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan
2022 A* conf
T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs.
ICDE
Sha Zhao, Junwei Fang, Shiwei Zhao, Runze Wu, Jianrong Tao, Shijian Li, Gang Pan
2022 J jnl
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective.
CoRR
Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng
2022 — conf
Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model.
ICANN (3)
Yueyang Su, Di Yao, Jingwei Li, Baoli Wang, Jingping Bi, Shiwei Zhao, Runze Wu, Jianrong Tao, Hao Deng
2022 A* conf
Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking.
WWW
Jiashu Pu, Jianshi Lin, Xiaoxi Mao, Jianrong Tao, Xudong Shen, Yue Shang, Runze Wu
2022 A* conf
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games.
WWW
Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen
2021 J jnl
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
CoRR
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
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 A* conf
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective.
ICDM
Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang
2021 A* conf
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction.
AAAI
Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao
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 — conf
Prior Aided Streaming Network for Multi-task Affective Analysis.
ICCVW
Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding, Runze Wu, Tangjie Lv, Changjie Fan
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
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding.
CIKM
Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen
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 C conf
Multi-source Data Multi-task Learning for Profiling Players in Online Games.
CoG
Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Hao Li, Changjie Fan
2020 A* conf
OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena.
KDD
Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, 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
2020 C conf
XAI-Driven Explainable Multi-view Game Cheating Detection.
CoG
Jianrong Tao, Yu Xiong, Shiwei Zhao, Yuhong Xu, Jianshi Lin, Runze Wu, Changjie Fan
2019 A* conf
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games.
KDD
Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, Peng Cui
2018 A* conf
Confidence-Aware Matrix Factorization for Recommender Systems.
AAAI
Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang
2018 J jnl
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.
ACM Trans. Intell. Syst. Technol.
Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu
2017 — conf
Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response.
WWW (Companion Volume)
Runze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng
2017 A conf
Tracking Knowledge Proficiency of Students with Educational Priors.
CIKM
Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu
2016 — conf
Collaborative Learning Team Formation: A Cognitive Modeling Perspective.
DASFAA (2)
Yuping Liu, Qi Liu, Runze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu
2015 A* conf
Cognitive Modelling for Predicting Examinee Performance.
IJCAI
Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu