Haozhe Wang

According to our database, Haozhe Wang authored at least 38 papers between 2020 and 2026.

Collaborative distances:

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

2026

Starve to Perceive: Taming Lazy Perception in VLMs with Constrained Visual Bandwidth.

Yuhuan Wu, Cong Wei, Fangzhen Lin, Wenhu Chen, Haozhe Wang

CoRR, May, 2026

Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning.

Haozhe Wang, Qixin Xu, Changpeng Wang, Taofeng Xue, Chong Peng, Wenhu Chen, Fangzhen Lin

CoRR, May, 2026

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time.

Haozhe Wang, Cong Wei, Weiming Ren, Jiaming Liu, Fangzhen Lin, Wenhu Chen

CoRR, April, 2026

SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding.

Songcheng Cai, Zhiheng Lyu, Yuansheng Ni, Xiangchao Chen, Baichuan Zhou, Shenzhe Zhu, Yi Lu, Haozhe Wang, Chi Ruan, Benjamin Schneider, Weixu Zhang, Xiang Li, Andy Zheng, Yuyu Zhang, Ping Nie, Wenhu Chen

CoRR, March, 2026

Understanding by Reconstruction: Reversing the Software Development Process for LLM Pretraining.

Zhiyuan Zeng, Yichi Zhang, Yong Shan, Kai Hua, Siyuan Fang, Zhaiyu Liu, Jiaheng Liu, Haozhe Wang, Yining Zheng, Ming Ding, Ke Shen, Ge Zhang, Wenhao Huang, Xipeng Qiu

CoRR, March, 2026

EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience.

Taofeng Xue, Chong Peng, Mianqiu Huang, Linsen Guo, Tiancheng Han, Haozhe Wang, Jianing Wang, Xiaocheng Zhang, Xin Yang, Dengchang Zhao, Jinrui Ding, Xiandi Ma, Yuchen Xie, Peng Pei, Xunliang Cai, Xipeng Qiu

CoRR, January, 2026

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs.

Jialin Yang, Dongfu Jiang, Tony He, Sherman Siu, Yuxuan Zhang, Disen Liao, Zhuofeng Li, Huaye Zeng, Yiming Jia, Haozhe Wang, Benjamin Schneider, Chi Ruan, Wentao Ma, Zhiheng Lyu, Yifei Wang, Yi Lu, Quy Duc Do, Ziyan Jiang, Ping Nie, Wenhu Chen

Trans. Mach. Learn. Res., 2026

AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification.

Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Yinghui Xu, Xihe Qiu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

TR-DQ: Time-Rotation Diffusion Quantization.

Yihua Shao, Deyang Lin, Minxi Yan, Siyu Chen, Fanhu Zeng, Minwen Liao, Ao Ma, Ziyang Yan, Haozhe Wang, Yan Wang, Zhi Chen, Xiaofeng Cao, Haotong Qin, Hao Tang, Jingcai Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Yuntao Du, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Qian Li, Dongrui Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers.

Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Xuanhua He, Run Ling, Haowei Liu, Jian Lu, Wei Feng, Haozhe Wang, Hongjuan Pei, Yihua Shao, Zhanjie Zhang, Jie Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CogDoc: Towards Unified thinking in Documents.

Qixin Xu, Haozhe Wang, Che Liu, Fangzhen Lin, Wenhu Chen

CoRR, December, 2025

1 + 1 > 2: Detector-Empowered Video Large Language Model for Spatio-Temporal Grounding and Reasoning.

Shida Gao, Feng Xue, Xiangfeng Wang, Anlong Ming, Teng Long, Yihua Shao, Haozhe Wang, Zhaowen Lin, Wei Wang, Nicu Sebe

CoRR, December, 2025

From Illusion to Intention: Visual Rationale Learning for Vision-Language Reasoning.

Changpeng Wang, Haozhe Wang, Xi Chen, Junhan Liu, Taofeng Xue, Chong Peng, Donglian Qi, Fangzhen Lin, Yunfeng Yan

CoRR, November, 2025

A Rigorous Benchmark with Multidimensional Evaluation for Deep Research Agents: From Answers to Reports.

Yang Yao, Yixu Wang, Yuxuan Zhang, Yi Lu, Tianle Gu, Lingyu Li, Dingyi Zhao, Keming Wu, Haozhe Wang, Ping Nie, Yan Teng, Yingchun Wang

CoRR, October, 2025

Reverse-Engineered Reasoning for Open-Ended Generation.

Haozhe Wang, Haoran Que, Qixin Xu, Minghao Liu, Wangchunshu Zhou, Jiazhan Feng, Wanjun Zhong, Wei Ye, Tong Yang, Wenhao Huang, Ge Zhang, Fangzhen Lin

CoRR, September, 2025

OOTSM: A Decoupled Linguistic Framework for Effective Scene Graph Anticipation.

Xiaomeng Zhu, Changwei Wang, Haozhe Wang, Xinyu Liu, Fangzhen Lin

CoRR, September, 2025

Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning.

Haozhe Wang, Qixin Xu, Che Liu, Junhong Wu, Fangzhen Lin, Wenhu Chen

CoRR, September, 2025

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use.

Dongfu Jiang, Yi Lu, Zhuofeng Li, Zhiheng Lyu, Ping Nie, Haozhe Wang, Alex Su, Hui Chen, Kai Zou, Chao Du, Tianyu Pang, Wenhu Chen

CoRR, September, 2025

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs.

Jialin Yang, Dongfu Jiang, Lipeng He, Sherman Siu, Yuxuan Zhang, Disen Liao, Zhuofeng Li, Huaye Zeng, Yiming Jia, Haozhe Wang, Benjamin Schneider, Chi Ruan, Wentao Ma, Zhiheng Lyu, Yifei Wang, Yi Lu, Quy Duc Do, Ziyan Jiang, Ping Nie, Wenhu Chen

CoRR, May, 2025

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du

CoRR, May, 2025

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL.

Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci

CoRR, May, 2025

Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning.

Alex Su, Haozhe Wang, Weiming Ren, Fangzhen Lin, Wenhu Chen

CoRR, May, 2025

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning.

Haozhe Wang, Chao Qu, Zuming Huang, Wei Chu, Fangzhen Lin, Wenhu Chen

CoRR, April, 2025

TR-DQ: Time-Rotation Diffusion Quantization.

Yihua Shao, Deyang Lin, Fanhu Zeng, Minxi Yan, Muyang Zhang, Siyu Chen, Yuxuan Fan, Ziyang Yan, Haozhe Wang, Jingcai Guo, Yan Wang, Haotong Qin, Hao Tang

CoRR, March, 2025

Learning Autonomous Code Integration for Math Language Models.

Haozhe Wang, Long Li, Chao Qu, Fengming Zhu, Weidi Xu, Wei Chu, Fangzhen Lin

CoRR, February, 2025

Renderworld: World Model with Self-Supervised 3D Label.

Ziyang Yan, Wenzhen Dong, Yihua Shao, Yuhang Lu, Haiyang Liu, Jingwen Liu, Haozhe Wang, Zhe Wang, Yan Wang, Fabio Remondino, Yuexin Ma

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs.

Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

ACECODER: Acing Coder RL via Automated Test-Case Synthesis.

Huaye Zeng, Dongfu Jiang, Haozhe Wang, Ping Nie, Xiaotong Chen, Wenhu Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation.

Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?

Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics, 2025

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization.

Haozhe Wang, Long Li, Chao Qu, Weidi Xu, Fengming Zhu, Wei Chu, Fangzhen Lin

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images.

Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci

CoRR, 2024

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark.

Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning.

Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng

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

Grounded Image Text Matching with Mismatched Relation Reasoning.

Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning.

Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning.

Haozhe Wang, Jiale Zhou, Xuming He

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020