Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning. - Haozhe Wang 002; Jiale Zhou; Xuming He 001 (AAMAS, 2020)

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. - Haozhe Wang 002; Chao Du; Panyan Fang; Shuo Yuan; Xuming He 001; Liang Wang 001; Bo Zheng 007 (KDD, 2022)

Grounded Image Text Matching with Mismatched Relation Reasoning. - Yu Wu 014; Yana Wei; Haozhe Wang 002; Yongfei Liu; Sibei Yang; Xuming He 001 (ICCV, 2023)

Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. - Haozhe Wang 002; Chao Du; Panyan Fang; Li He; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. - Yi Xin 003; Siqi Luo; Xuyang Liu; Yuntao Du 001; Haodi Zhou; Xinyu Cheng; Christina E. Lee; Junlong Du; Haozhe Wang 002; Mingcai Chen; Ting Liu; Guimin Hu; et al. (NeurIPS, 2024)

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. - Che Liu; Zhongwei Wan; Yuqi Wang; Hui Shen; Haozhe Wang 002; Kangyu Zheng; Mi Zhang 002; Rossella Arcucci (CoRR, 2024)

RenderWorld: World Model with Self-Supervised 3D Label. - Ziyang Yan; Wenzhen Dong; Yihua Shao; Yuhang Lu; Haiyang Liu; Jingwen Liu; Haozhe Wang 002; Zhe Wang; Yan Wang 068; Fabio Remondino; Yuexin Ma (CoRR, 2024)

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization. - Haozhe Wang 002; Long Li; Chao Qu; Weidi Xu; Fengming Zhu; Wei Chu; Fangzhen Lin (ACL (Findings), 2025)

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? - Che Liu; Zhongwei Wan; Haozhe Wang 002; Yinda Chen; Talha Qaiser; Chen Jin; Nikolay Burlutskiy; Fariba Yousefi; Rossella Arcucci (ACL (Findings), 2025)

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. - Che Liu; Zhongwei Wan; Yuqi Wang; Hui Shen; Haozhe Wang 002; Kangyu Zheng; Mi Zhang 002; Rossella Arcucci (ACL (Findings), 2025)

ACECODER: Acing Coder RL via Automated Test-Case Synthesis. - Huaye Zeng; Dongfu Jiang; Haozhe Wang 002; Ping Nie; Xiaotong Chen; Wenhu Chen (ACL (1), 2025)

Learning Autonomous Code Integration for Math Language Models. - Haozhe Wang 002; Long Li; Chao Qu; Fengming Zhu; Weidi Xu; Wei Chu; Fangzhen Lin (CoRR, 2025)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. - Che Liu; Cheng Ouyang; Zhongwei Wan; Haozhe Wang 002; Wenjia Bai; Rossella Arcucci (CoRR, 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 002; Jingcai Guo; Yan Wang 068; Haotong Qin; et al. (CoRR, 2025)

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning. - Haozhe Wang 002; Chao Qu; Zuming Huang; Wei Chu; Fangzhen Lin; Wenhu Chen (CoRR, 2025)

Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning. - Alex Su; Haozhe Wang 002; Weiming Ren; Fangzhen Lin; Wenhu Chen (CoRR, 2025)

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. - Che Liu; Haozhe Wang 002; Jiazhen Pan; Zhongwei Wan; Yong Dai 001; Fangzhen Lin; Wenjia Bai; Daniel Rueckert; Rossella Arcucci (CoRR, 2025)

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. - Yifan Jia; Kailin Jiang; Yuyang Liang; Qihan Ren; Yi Xin 003; Rui Yang; Fenze Feng; Mingcai Chen; Hengyang Lu; Haozhe Wang 002; Xiaoye Qu; Dongrui Liu; et al. (CoRR, 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 002; Benjamin Schneider; Chi Ruan; et al. (CoRR, 2025)