Haoyang Fang

16 papers A* 2A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Efficient Table Retrieval and Understanding with Multimodal Large Language Models.
EACL (Findings)
Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang
2026 J jnl
Efficient Table Retrieval and Understanding with Multimodal Large Language Models.
CoRR
Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang
2026 J jnl
OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation.
CoRR
Haoyang Fang, Shuai Zhang, Yifei Ma, Hengyi Wang, Cuixiong Hu, Katrin Kirchhoff, Bernie Wang, George Karypis
2026 J jnl
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning.
CoRR
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
2025 J jnl
AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning.
CoRR
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
2025 J jnl
Does Multimodality Lead to Better Time Series Forecasting?
CoRR
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
2025 J jnl
Effectively Steer LLM To Follow Preference via Building Confident Directions.
CoRR
Bingqing Song, Boran Han, Shuai Zhang, Hao Wang, Haoyang Fang, Bonan Min, Yuyang Wang, Mingyi Hong
2025 J jnl
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation.
CoRR
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
2024 — conf
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models.
AutoML
ZhiQiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Cuixiong Hu, Katrin Kirchhoff, George Karypis
2024 J jnl
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models.
CoRR
ZhiQiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Tony Hu, Katrin Kirchhoff, George Karypis
2024 A* conf
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model.
ICLR
Zihan Zhong, ZhiQiang Tang, Tong He, Haoyang Fang, Chun Yuan
2024 J jnl
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model.
CoRR
Zihan Zhong, ZhiQiang Tang, Tong He, Haoyang Fang, Chun Yuan
2024 A conf
Data Augmentation for Object Detection via Controllable Diffusion Models.
WACV
Haoyang Fang, Boran Han, Shuai Zhang, Su Zhou, Cuixiong Hu, Wenming Ye
2023 A* conf
A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data.
SIGIR
Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli
2022 J jnl
A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data.
CoRR
Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli
2019 J jnl
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking.
CoRR
Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi-Keung Tang