Cognitive Modelling for Predicting Examinee Performance. - Runze Wu 001; Qi Liu 003; Yuping Liu; Enhong Chen; Yu Su 002; Zhigang Chen 003; Guoping Hu (IJCAI, 2015)

Collaborative Learning Team Formation: A Cognitive Modeling Perspective. - Yuping Liu; Qi Liu 003; Runze Wu 001; Enhong Chen; Yu Su 002; Zhigang Chen 003; Guoping Hu (DASFAA (2), 2016)

Tracking Knowledge Proficiency of Students with Educational Priors. - Yuying Chen; Qi Liu 003; Zhenya Huang; Le Wu; Enhong Chen; Runze Wu 001; Yu Su 002; Guoping Hu (CIKM, 2017)

Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response. - Runze Wu 001; Guandong Xu; Enhong Chen; Qi Liu 003; Wan Ng (WWW (Companion Volume), 2017)

Confidence-Aware Matrix Factorization for Recommender Systems. - Chao Wang 086; Qi Liu 003; Runze Wu 001; Enhong Chen; Chuanren Liu; Xunpeng Huang; Zhenya Huang (AAAI, 2018)

Fuzzy Cognitive Diagnosis for Modelling Examinee Performance. - Qi Liu 003; Runze Wu 001; Enhong Chen; Guandong Xu; Yu Su 002; Zhigang Chen 003; Guoping Hu (ACM Trans. Intell. Syst. Technol., 2018)

MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games. - Jianrong Tao; Jianshi Lin; Shize Zhang; Sha Zhao; Runze Wu 001; Changjie Fan; Peng Cui 001 (KDD, 2019)

XAI-Driven Explainable Multi-view Game Cheating Detection. - Jianrong Tao; Yu Xiong; Shiwei Zhao; Yuhong Xu; Jianshi Lin; Runze Wu 001; Changjie Fan (CoG, 2020)

Multi-source Data Multi-task Learning for Profiling Players in Online Games. - Shiwei Zhao; Runze Wu 001; Jianrong Tao; Manhu Qu; Hao Li; Changjie Fan (CoG, 2020)

Personalized Bundle Recommendation in Online Games. - Qilin Deng; Kai Wang 064; Minghao Zhao 002; Zhene Zou; Runze Wu 001; Jianrong Tao; Changjie Fan; Liang Chen 001 (CIKM, 2020)

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. - Kai Wang 064; Hao Li; Linxia Gong; Jianrong Tao; Runze Wu 001; Changjie Fan; Liang Chen 001; Peng Cui 001 (CIKM, 2020)

Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. - Runze Wu 001; Hao Deng; Jianrong Tao; Changjie Fan; Qi Liu 003; Liang Chen 001 (CIKM, 2020)

OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena. - Linxia Gong; Xiaochuan Feng; Dezhi Ye; Hao Li; Runze Wu 001; Jianrong Tao; Changjie Fan; Peng Cui 001 (KDD, 2020)

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. - Yin Gu; Qi Liu 003; Kai Zhang 038; Zhenya Huang; Runze Wu 001; Jianrong Tao (AAAI, 2021)

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. - Kai Wang 064; Zhene Zou; Qilin Deng; Jianrong Tao; Runze Wu 001; Changjie Fan; Liang Chen 001; Peng Cui 001 (AAAI, 2021)

Prior Aided Streaming Network for Multi-task Affective Analysis. - Wei Zhang 219; Zunhu Guo; Keyu Chen; Lincheng Li; Zhimeng Zhang; Yu Ding 001; Runze Wu 001; Tangjie Lv; Changjie Fan (ICCVW, 2021)

Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. - Jie Huang 024; Qi Liu 003; Fei Wang 063; Zhenya Huang; Songtao Fang; Runze Wu 001; Enhong Chen; Yu Su 002; Shijin Wang 001 (ICDM, 2021)

Globally Optimized Matchmaking in Online Games. - Qilin Deng; Hao Li; Kai Wang 064; Zhipeng Hu; Runze Wu 001; Linxia Gong; Jianrong Tao; Changjie Fan; Peng Cui 001 (KDD, 2021)

Build Your Own Bundle - A Neural Combinatorial Optimization Method. - Qilin Deng; Kai Wang 064; Minghao Zhao 002; Runze Wu 001; Yu Ding 001; Zhene Zou; Yue Shang; Jianrong Tao; Changjie Fan (ACM Multimedia, 2021)

RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System. - Kai Wang 064; Zhene Zou; Qilin Deng; Yue Shang; Minghao Zhao 002; Runze Wu 001; Xudong Shen; Tangjie Lyu; Changjie Fan (CoRR, 2021)

EasySM: A Data-Driven Intelligent Decision Support System for Server Merge. - Manhu Qu; Jie Huang 024; Hao Deng; Runze Wu 001; Xudong Shen; Jianrong Tao; Tangjie Lv (AAAI, 2022)

Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. - Lei Zhang 060; Wang Xiang; Chuang Zhao 002; Hongke Zhao; Rui Li 093; Runze Wu 001 (AAAI, 2022)

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. - Chuang Zhao 002; Hongke Zhao; Runze Wu 001; Qilin Deng; Yu Ding 001; Jianrong Tao; Changjie Fan (AAAI, 2022)

Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model. - Yueyang Su; Di Yao 001; Jingwei Li; Baoli Wang; Jingping Bi; Shiwei Zhao; Runze Wu 001; Jianrong Tao; Hao Deng (ICANN (3), 2022)

T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs. - Sha Zhao; Junwei Fang; Shiwei Zhao; Runze Wu 001; Jianrong Tao; Shijian Li; Gang Pan 001 (ICDE, 2022)

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. - Muyang Li; Xiangyu Zhao 001; Chuan Lyu; Minghao Zhao 002; Runze Wu 001; Ruocheng Guo (IJCAI, 2022)

Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. - Yueyang Su; Di Yao 001; Xiaokai Chu; Wenbin Li 012; Jingping Bi; Shiwei Zhao; Runze Wu 001; Shize Zhang; Jianrong Tao; Hao Deng (KDD, 2022)

A GNN-Enhanced Game Bot Detection Model for MMORPGs. - Xianyang Qi; Jiashu Pu; Shiwei Zhao; Runze Wu 001; Jianrong Tao (PAKDD (2), 2022)

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. - Minghao Zhao 002; Le Wu; Yile Liang; Lei Chen 051; Jian Zhang 023; Qilin Deng; Kai Wang 064; Xudong Shen; Tangjie Lv; Runze Wu 001 (SIGIR, 2022)

FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. - Wenbin Li 012; Xiaokai Chu; Yueyang Su; Di Yao 001; Shiwei Zhao; Runze Wu 001; Shize Zhang; Jianrong Tao; Hao Deng; Jingping Bi (WWW, 2022)

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 001 (WWW, 2022)

Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. - Chuang Zhao 002; Hongke Zhao; Yong Ge; Runze Wu 001; Xudong Shen (WWW, 2022)

TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. - Pengfei Xi; Guifeng Wang; Zhipeng Hu; Yu Xiong; Mingming Gong; Wei Huang; Runze Wu 001; Yu Ding 001; Tangjie Lv; Changjie Fan; Xiangnan Feng (CoRR, 2022)

Find Your Organization in MMORPGs. - Qilin Deng; Minghao Zhao 002; Kai Wang 064; Runze Wu 001; Xudong Shen; Jianrong Tao; Changjie Fan (IEEE Trans. Games, 2022)

Balance-Subsampled Stable Prediction Across Unknown Test Data. - Kun Kuang; Hengtao Zhang; Runze Wu 001; Fei Wu 001; Yueting Zhuang; Aijun Zhang (ACM Trans. Knowl. Discov. Data, 2022)

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. - Junkun Yuan; Anpeng Wu; Kun Kuang; Bo Li 064; Runze Wu 001; Fei Wu 001; Lanfen Lin (ACM Trans. Knowl. Discov. Data, 2022)

Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. - Minghao Zhao 002; Qilin Deng; Kai Wang 064; Runze Wu 001; Jianrong Tao; Changjie Fan; Liang Chen 001; Peng Cui 001 (ACM Trans. Inf. Syst., 2022)

RL4RS Dataset. - Kai Wang 064; Zhene Zou; Yue Shang; Qilin Deng; Minghao Zhao 002; Yile Liang; Runze Wu 001; Xudong Shen; Jianrong Tao; Tangjie Lyu; Changjie Fan (Zenodo, 2022)

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. - Shanqi Liu; Yujing Hu; Runze Wu 001; Dong Xing; Yu Xiong; Changjie Fan; Kun Kuang; Yong Liu 007 (AAMAS, 2023)

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. - Ruixuan Xiao; Yiwen Dong 003; Junbo Zhao 002; Runze Wu 001; Minmin Lin; Gang Chen 001; Haobo Wang 001 (EMNLP, 2023)

ProMix: Combating Label Noise via Maximizing Clean Sample Utility. - Ruixuan Xiao; Yiwen Dong 003; Haobo Wang 001; Lei Feng 006; Runze Wu 001; Gang Chen 001; Junbo Zhao 002 (IJCAI, 2023)

A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games. - Yu Xiong; Runze Wu 001; Shiwei Zhao; Jianrong Tao; Xudong Shen; Tangjie Lyu; Changjie Fan; Peng Cui 001 (KDD, 2023)

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. - Kai Wang 064; Zhene Zou; Minghao Zhao 002; Qilin Deng; Yue Shang; Yile Liang; Runze Wu 001; Xudong Shen; Tangjie Lyu; Changjie Fan (SIGIR, 2023)

AutoMLP: Automated MLP for Sequential Recommendations. - Muyang Li; Zijian Zhang 009; Xiangyu Zhao 001; Wanyu Wang; Minghao Zhao 002; Runze Wu 001; Ruocheng Guo (WWW, 2023)

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. - Renyu Zhu; Haoyu Liu; Runze Wu 001; Minmin Lin; Tangjie Lv; Changjie Fan; Haobo Wang 001 (CoRR, 2023)

Examining the Effect of Pre-training on Time Series Classification. - Jiashu Pu; Shiwei Zhao; Ling Cheng 002; Yongzhu Chang; Runze Wu 001; Tangjie Lv; Rongsheng Zhang (CoRR, 2023)

Rethink Baseline of Integrated Gradients from the Perspective of Shapley Value. - Shuyang Liu; Zixuan Chen; Ge Shi; Ji Wang; Changjie Fan; Yu Xiong; Runze Wu 001; Yujing Hu; Ze Ji; Yang Gao 001 (CoRR, 2023)

Towards Long-term Annotators: A Supervised Label Aggregation Baseline. - Haoyu Liu; Fei Wang 063; Minmin Lin; Runze Wu 001; Renyu Zhu; Shiwei Zhao; Kai Wang 064; Tangjie Lv; Changjie Fan (CoRR, 2023)

Differentiated matching for individual and average treatment effect estimation. - Ziyu Zhao 001; Kun Kuang; Bo Li 064; Peng Cui 001; Runze Wu 001; Jun Xiao 001; Fei Wu 001 (Data Min. Knowl. Discov., 2023)

Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection. - Yufei Liang; Jiangning Zhang; Shiwei Zhao; Runze Wu 001; Yong Liu 007; Shuwen Pan (IEEE Trans. Image Process., 2023)

Multi-Source Multi-Label Learning for User Profiling in Online Games. - Xiang Wen; Shiwei Zhao; Haobo Wang 001; Runze Wu 001; Manhu Qu; Tianlei Hu; Gang Chen 001; Jianrong Tao; Changjie Fan (IEEE Trans. Multim., 2023)

perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games. - Shiwei Zhao; Runze Wu 001; Jianrong Tao; Manhu Qu; Minghao Zhao 002; Changjie Fan; Hongke Zhao (ACM Trans. Inf. Syst., 2023)

Learning Decomposed Representations for Treatment Effect Estimation. - Anpeng Wu; Junkun Yuan; Kun Kuang; Bo Li 064; Runze Wu 001; Qiang Zhu; Yueting Zhuang; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Explainable AI for Cheating Detection and Churn Prediction in Online Games. - Jianrong Tao; Yu Xiong; Shiwei Zhao; Runze Wu 001; Xudong Shen; Tangjie Lyu; Changjie Fan; Zhipeng Hu; Sha Zhao; Gang Pan 001 (IEEE Trans. Games, 2023)

Stable Prediction With Leveraging Seed Variable. - Kun Kuang; Haotian Wang 001; Yue Liu; Ruoxuan Xiong; Runze Wu 001; Weiming Lu 001; Yueting Zhuang; Fei Wu 001; Peng Cui 001; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)

Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation. - Xingliang Wang; Dongjing Wang; Dongjin Yu; Runze Wu 001; Qimeng Yang; Shuiguang Deng; Guandong Xu (Neurocomputing, 2023)

Deep learning applications in games: a survey from a data perspective. - Zhipeng Hu; Yu Ding 001; Runze Wu 001; Lincheng Li; Rongsheng Zhang; Yujing Hu; Feng Qiu; Zhimeng Zhang; Kai Wang 064; Shiwei Zhao; Yongqiang Zhang 003; Ji Jiang; et al. (Appl. Intell., 2023)

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization. - Kai Wang 064; Haoyu Liu; Zhipeng Hu; Xiaochuan Feng; Minghao Zhao 002; Shiwei Zhao; Runze Wu 001; Xudong Shen; Tangjie Lv; Changjie Fan (AAAI, 2024)

Learning Geometry-Aware Representations for New Intent Discovery. - Kai Tang; Junbo Zhao 002; Xiao Ding; Runze Wu 001; Lei Feng 006; Gang Chen 001; Haobo Wang 001 (ACL (1), 2024)

Unbiased Multi-Label Learning from Crowdsourced Annotations. - Mingxuan Xia; Zenan Huang; Runze Wu 001; Gengyu Lyu; Junbo Zhao 002; Gang Chen 001; Haobo Wang 001 (ICML, 2024)

CoMAL: Contrastive Active Learning for Multi-Label Text Classification. - Cheng Peng 011; Haobo Wang 001; Ke Chen 005; Lidan Shou; Chang Yao; Runze Wu 001; Gang Chen 001 (KDD, 2024)

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning. - Yu Sun; Kai Wang 064; Zhipeng Hu; Runze Wu 001; Yaoxin Wu; Wen Song; Xudong Shen; Tangjie Lv; Changjie Fan (KDD, 2024)

XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. - Yu Xiong; Zhipeng Hu; Ye Huang; Runze Wu 001; Kai Guan; Xingchen Fang; Ji Jiang; Tianze Zhou; Yujing Hu; Haoyu Liu; Tangjie Lyu; Changjie Fan (KDD, 2024)

Temporal Uplift Modeling for Online Marketing. - Xin Zhang 091; Kai Wang 064; Zengmao Wang; Bo Du 001; Shiwei Zhao; Runze Wu 001; Xudong Shen; Tangjie Lv; Changjie Fan (KDD, 2024)

One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network. - Liyang He; Zhenya Huang; Chenglong Liu; Rui Li 093; Runze Wu 001; Qi Liu 003; Enhong Chen (ACM Multimedia, 2024)

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. - Shiwei Zhao; Xi Yuan; Runze Wu 001; Zhipeng Hu; Haoyu Liu; Kai Wang 064; Yujing Hu; Tangjie Lv; Changjie Fan; Xin T. Tong; Jiangze Han; Yan Zheng 002; et al. (WWW (Companion Volume), 2024)

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. - Fei Wang 063; Haoyu Liu; Haoyang Bi; Xiangzhuang Shen; Renyu Zhu; Runze Wu 001; Minmin Lin; Tangjie Lv; Changjie Fan; Qi Liu 003; Zhenya Huang; Enhong Chen (CoRR, 2024)

Rank Aggregation in Crowdsourcing for Listwise Annotations. - Wenshui Luo; Haoyu Liu; Yongliang Ding; Tao Zhou 002; Sheng Wan; Runze Wu 001; Minmin Lin; Cong Zhang; Changjie Fan; Chen Gong 002 (CoRR, 2024)

A Flexible Plug-and-Play Module for Generating Variable-Length. - Liyang He; Yuren Zhang; Rui Li 093; Zhenya Huang; Runze Wu 001; Enhong Chen (CoRR, 2024)

Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry. - Zhipeng Hu; Haoyu Liu; Yu Xiong; Lizi Wang; Runze Wu 001; Kai Guan; Yujing Hu; Tangjie Lyu; Changjie Fan (Multim. Tools Appl., 2024)

PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG. - Yilin Wang; Sha Zhao; Shiwei Zhao; Runze Wu 001; Yuhong Xu; Jianrong Tao; Tangjie Lv; Shijian Li; Zhipeng Hu; Gang Pan 001 (ACM Trans. Knowl. Discov. Data, 2024)

SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. - Jingtong Gao; Xiangyu Zhao 001; Muyang Li; Minghao Zhao 002; Runze Wu 001; Ruocheng Guo; Yiding Liu; Dawei Yin (ACM Trans. Inf. Syst., 2024)

CORAL: Collaborative Automatic Labeling System based on Large Language Models. - Zhen Zhu 007; Yibo Wang; Shouqing Yang; Lin Long; Runze Wu 001; Xiu Tang; Junbo Zhao 002; Haobo Wang 001 (Proc. VLDB Endow., 2024)

MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games. - Dongjin Yu; Xingliang Wang; Yu Xiong; Xudong Shen; Runze Wu 001; Dongjing Wang; Zhene Zou; Guandong Xu (ACM Trans. Intell. Syst. Technol., 2024)

VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games. - Shiwei Zhao; Jiaheng Qi; Zhipeng Hu; Han Yan; Runze Wu 001; Xudong Shen; Tangjie Lv; Changjie Fan (IEEE Trans. Games, 2024)

IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. - Wei Song 010; Zhenya Huang; Cheng Cheng; Weibo Gao; Bihan Xu; Guanhao Zhao; Fei Wang 063; Runze Wu 001 (ACL (1), 2025)

Knowledge enhanced graph contrastive learning for match outcome prediction. - Junji Jiang; Likang Wu; Zhipeng Hu; Runze Wu 001; Xudong Shen; Hongke Zhao (Inf. Process. Manag., 2025)

Digital Player: Evaluating Large Language Models based Human-like Agent in Games. - Jiawei Wang; Kai Wang 064; Shaojie Lin; Runze Wu 001; Bihan Xu; Lingeng Jiang; Shiwei Zhao; Renyu Zhu; Haoyu Liu; Zhipeng Hu; Zhong Fan; Le Li; et al. (CoRR, 2025)

MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball. - Haifeng Sun 005; Yu Xiong; Runze Wu 001; Kai Wang 064; Lan Zhang 002; Changjie Fan; Shaojie Tang 001; Xiang-Yang Li (CoRR, 2025)

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling. - Bihan Xu; Shiwei Zhao; Runze Wu 001; Zhenya Huang; Jiawei Wang; Zhipeng Hu; Kai Wang 064; Haoyu Liu; Tangjie Lv; Le Li; Changjie Fan; Xin T. Tong; et al. (CoRR, 2025)

Fast-DataShapley: Neural Modeling for Training Data Valuation. - Haifeng Sun 005; Yu Xiong; Runze Wu 001; Xinyu Cai; Changjie Fan; Lan Zhang; Xiang-Yang Li (CoRR, 2025)

The Effects of Data Augmentation on Confidence Estimation for LLMs. - Rui Wang 076; Renyu Zhu; Minmin Lin; Runze Wu 001; Tangjie Lv; Changjie Fan; Haobo Wang 001 (CoRR, 2025)