Xudong Shen

According to our database, Xudong Shen authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PredLife: Predicting Fine-Grained Future Activity Patterns.

Wenjing Li, Xiaodan Shi, Dou Huang, Xudong Shen, Jinyu Chen, Hill Hiroki Kobayashi, Haoran Zhang, Xuan Song, Ryosuke Shibasaki

IEEE Trans. Big Data, December, 2023

Explainable AI for Cheating Detection and Churn Prediction in Online Games.

Jianrong Tao, Yu Xiong, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan, Zhipeng Hu, Sha Zhao, Gang Pan

IEEE Trans. Games, June, 2023

Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks.

Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Finetuning Text-to-Image Diffusion Models for Fairness.

Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli

CoRR, 2023

AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI.

Ayse Gizem Yasar, Andrew Chong, Evan Dong, Thomas Krendl Gilbert, Sarah Hladikova, Roland Maio, Carlos Mougan, Xudong Shen, Shubham Singh, Ana-Andreea Stoica, Savannah Thais, Miri Zilka

CoRR, 2023

Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities.

Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez

CoRR, 2023

Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation.

Shihao Zou, Xianying Huang, Xudong Shen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Gender Animus Can Still Exist Under Favorable Disparate Impact: a Cautionary Tale from Online P2P Lending.

Xudong Shen, Tianhui Tan, Tuan Quang Phan, Jussi Keppo

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Find Your Organization in MMORPGs.

Qilin Deng, Minghao Zhao, Kai Wang, Runze Wu, Xudong Shen, Jianrong Tao, Changjie Fan

IEEE Trans. Games, 2022

Improving multimodal fusion with Main Modal Transformer for emotion recognition in conversation.

Shihao Zou, Xianying Huang, Xudong Shen, Hankai Liu

Knowl. Based Syst., 2022

Unwarranted Gender Disparity in Online P2P Lending: Evidence of Affirmative Action.

Xudong Shen, Tianhui Tan, Tuan Quang Phan, Jussi Keppo

CoRR, 2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.

Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi

CoRR, 2022

Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games.

Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System.

Kai Wang, Zhene Zou, Qilin Deng, Yue Shang, Minghao Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan

CoRR, 2021

Unsupervised Motion Representation Learning with Capsule Autoencoders.

Ziwei Xu, Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Intelligent Beetle Antennae Search for UAV Sensing and Avoidance of Obstacles.

Qing Wu, Xudong Shen, Yuanzhe Jin, Zeyu Chen, Shuai Li, Ameer Hamza Khan, Dechao Chen

Sensors, 2019