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2020 – today
- 2026
[j1]Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Michael Bohlke-Schneider, Huzefa Rangwala, George Karypis, Bernie Wang:
When Does Multimodality Lead to Better Time Series Forecasting? Trans. Mach. Learn. Res. 2026 (2026)- [c7]Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang:
Efficient Table Retrieval and Understanding with Multimodal Large Language Models. EACL (Findings) 2026: 4327-4340 - [c6]Boran Han
, Nick Erickson, Abdul Fatir Ansari, Oleksandr Shchur, Xiyuan Zhang, Shuai Zhang, Haoyang Fang, Danielle C. Maddix, Michael Bohlke-Schneider, Yuyang Wang:
Taming Structured Data Foundation Models with AutoML: A Hands-On Guide. KDD (2) 2026: 13285-13286 - [i16]Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang:
Efficient Table Retrieval and Understanding with Multimodal Large Language Models. CoRR abs/2602.07642 (2026) - [i15]Zelin He, Boran Han, Xiyuan Zhang, Shuai Zhang, Haotian Lin, Qi Zhu, Haoyang Fang, Danielle C. Maddix, Abdul Fatir Ansari, Akash Chandrayan, Abhinav Pradhan, Yuyang Wang, Matthew Reimherr:
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning. CoRR abs/2602.19455 (2026) - [i14]Haoyang Fang, Shuai Zhang, Yifei Ma, Hengyi Wang, Cuixiong Hu, Katrin Kirchhoff, Bernie Wang, George Karypis:
OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation. CoRR abs/2603.17205 (2026) - [i13]Zelin He, Haotian Lin, Boran Han, Wei Zhu, Haoyang Fang, Yuyang Wang, Xuan Zhu, Runze Li, Matthew Reimherr:
ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL. CoRR abs/2606.01619 (2026) - [i12]Haoyang Fang, Wei Zhu, Boran Han, Alex Zhang, Zhenyu Pan, Shuo Yang, Shuai Zhang, Jiading Gai, Peng Tang, Cuixiong Hu, Xuan Zhu, Huzefa Rangwala, George Karypis, Yuyang Wang:
LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents. CoRR abs/2606.18388 (2026) - [i11]Jiading Gai, Shuai Zhang, Kaj Bostrom, Jin Huang, Vihang Patil, Haoyang Fang, Yuyang Wang, Huzefa Rangwala, George Karypis:
Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization. CoRR abs/2606.26453 (2026) - [i10]Haoyang Fang, Bernie Wang:
Exploit More, Explore Smarter for Budget-Constrained Agentic Search. CoRR abs/2608.23848 (2026) - [i9]Yefan Tao, Xiyuan Zhang, Xinyi Liu, Boran Han, Danielle C. Maddix, Haoyang Fang, Zhen Han, Jiading Gai, Xuanqing Liu, Michael Bohlke-Schneider, Yuyang Wang, Gerald Friedland, Kevan Mah, Chris Lee, Chris Kong:
Mitra-v2 Technical Report. CoRR abs/2609.04540 (2026) - 2025
- [c5]Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Türkmen, Tony Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang Wang, George Karypis:
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. NeurIPS 2025 - [i8]Bingqing Song, Boran Han, Shuai Zhang, Hao Wang, Haoyang Fang, Bonan Min, Yuyang Wang, Mingyi Hong:
Effectively Steer LLM To Follow Preference via Building Confident Directions. CoRR abs/2503.02989 (2025) - [i7]Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Türkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang Wang, George Karypis:
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. CoRR abs/2505.13941 (2025) - [i6]Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Huzefa Rangwala, George Karypis, Bernie Wang:
Does Multimodality Lead to Better Time Series Forecasting? CoRR abs/2506.21611 (2025) - [i5]Zhenyu Pan, Yiting Zhang, Zhuo Liu, Yolo Yunlong Tang, Zeliang Zhang, Haozheng Luo, Yuwei Han, Jianshu Zhang, Dennis Wu, Hong-Yu Chen, Haoran Lu, Haoyang Fang, Manling Li, Chenliang Xu, Philip S. Yu, Han Liu:
AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning. CoRR abs/2510.01586 (2025) - 2024
- [c4]Zhiqiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Cuixiong Hu, Katrin Kirchhoff, George Karypis:
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. AutoML 2024: 15/1-35 - [c3]Zihan Zhong, Zhiqiang Tang, Tong He, Haoyang Fang, Chun Yuan:
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model. ICLR 2024 - [c2]Haoyang Fang, Boran Han, Shuai Zhang, Su Zhou, Cuixiong Hu, Wenming Ye:
Data Augmentation for Object Detection via Controllable Diffusion Models. WACV 2024: 1246-1255 - [i4]Zihan Zhong, Zhiqiang Tang, Tong He, Haoyang Fang, Chun Yuan:
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model. CoRR abs/2401.17868 (2024) - [i3]Zhiqiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Tony Hu, Katrin Kirchhoff, George Karypis:
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. CoRR abs/2404.16233 (2024) - 2023
- [c1]Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli:
A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. SIGIR 2023: 3325-3329 - 2022
- [i2]Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli:
A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. CoRR abs/2211.02533 (2022)
2010 – 2019
- 2019
- [i1]Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi-Keung Tang:
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking. CoRR abs/1908.00777 (2019)
Coauthor Index
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