Haoyue Bai

According to our database, Haoyue Bai authored at least 32 papers between 2023 and 2026.

Collaborative distances:

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

2026

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures.

Arun Vignesh Malarkkan, Dongjie Wang, Haoyue Bai, Yanjie Fu

IEEE Trans. Big Data, June, 2026

StressWeb: A Diagnostic Benchmark for Web Agent Robustness under Realistic Interaction Variability.

Haoyue Bai, Dong Wang, Long Chen, Bingguang Hao, Pengyang Shao, Yonghui Yang, Yicheng He, Chenyi Zhuang

CoRR, April, 2026

The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break.

Xinyu Jessica Wang, Haoyue Bai, Yiyou Sun, Haorui Wang, Shuibai Zhang, Wenjie Hu, Mya Schroder, Bilge Mutlu, Dawn Song, Robert D. Nowak

CoRR, April, 2026

Topology-aware Reinforcement Feature Space Reconstruction for Graph Data.

Wangyang Ying, Haoyue Bai, Kunpeng Liu, Yanjie Fu

ACM Trans. Knowl. Discov. Data, January, 2026

Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.

Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen

Proceedings of the ACM Web Conference 2026, 2026

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models.

Xinyuan Wang, Dongjie Wang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Sixun Dong, Kunpeng Liu, Yanjie Fu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage.

Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, Yanjie Fu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

How and Why LLMs Generalize: A Fine-Grained Analysis of LLM Reasoning from Cognitive Behaviors to Low-Level Patterns.

Haoyue Bai, Yiyou Sun, Wenjie Hu, Shi Qiu, Maggie Ziyu Huan, Peiyang Song, Robert Nowak, Dawn Song

CoRR, December, 2025

Understanding Embedding Scaling in Collaborative Filtering.

Zhuangzhuang He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang

CoRR, September, 2025

Data-Efficient Symbolic Regression via Foundation Model Distillation.

Wangyang Ying, Jinghan Zhang, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Kunpeng Liu, Chandan K. Reddy, Yanjie Fu

CoRR, August, 2025

Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity.

Arun Vignesh Malarkkan, Haoyue Bai, Xinyuan Wang, Anjali Kaushik, Dongjie Wang, Yanjie Fu

CoRR, July, 2025

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies.

Haoyue Bai, Haoyu Wang, Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haifeng Chen, Yanjie Fu

CoRR, July, 2025

Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation.

Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang

IEEE Trans. Big Data, June, 2025

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation.

Xinyuan Wang, Haoyue Bai, Nanxu Gong, Wangyang Ying, Sixun Dong, Xiquan Cui, Yanjie Fu

CoRR, June, 2025

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO₂ Storage.

Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, Yanjie Fu

CoRR, May, 2025

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback.

Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Haifeng Chen, Yanjie Fu

CoRR, May, 2025

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation.

Nanxu Gong, Zijun Li, Sixun Dong, Haoyue Bai, Wangyang Ying, Xinyuan Wang, Yanjie Fu

CoRR, May, 2025

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories.

Nanxu Gong, Sixun Dong, Haoyue Bai, Xinyuan Wang, Wangyang Ying, Yanjie Fu

CoRR, May, 2025

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective.

Wangyang Ying, Cong Wei, Nanxu Gong, Xinyuan Wang, Haoyue Bai, Arun Vignesh Malarkkan, Sixun Dong, Dongjie Wang, Denghui Zhang, Yanjie Fu

CoRR, February, 2025

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation.

Dongjie Wang, Yanyong Huang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Tao Zhe, Kunpeng Liu, Meng Xiao, Pengfei Wang, Pengyang Wang, Hui Xiong, Yanjie Fu

CoRR, January, 2025

Understanding Embedding Scaling in Collaborative Filtering.

Yicheng He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang

Trans. Mach. Learn. Res., 2025

Fair Personalized Learner Modeling Without Sensitive Attributes.

Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang

Proceedings of the ACM on Web Conference 2025, 2025

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming.

Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming.

Arun Vignesh Malarkkan, Haoyue Bai, Anjali Kaushik, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2025

Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems.

Arun Vignesh Malarkkan, Haoyue Bai, Dongjie Wang, Yanjie Fu

Proceedings of the IEEE International Conference on Big Data, 2025

Structured Memory and Role-Aware Decision Making for Supply Chain Transportation.

Hongyu Cao, Haoyue Bai, Yanjie Fu

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning.

Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, Meng Wang

ACM Trans. Intell. Syst. Technol., October, 2024

Boosting Multimedia Recommendation via Separate Generic and Unique Awareness.

Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu

CoRR, 2024

Multimodality Invariant Learning for Multimedia-Based New Item Recommendation.

Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Double Correction Framework for Denoising Recommendation.

Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias.

Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

GoRec: A Generative Cold-start Recommendation Framework.

Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang

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