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Haochen Tian 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation (former): Shanghai Artificial Intelligence Laboratory, Shanghai, China
Other persons with the same name
- Haochen Tian 0002
— National Institute of Metrology, Beijing, China
- Haochen Tian 0003 — Tsinghua University, Institute for AI Industry Research (AIR), Beijing, China
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2020 – today
- 2026
- [j1]Haochen Liu
Reinforced Refinement With Self-Aware Expansion for End-to-End Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. 48(5): 5774-5792 (2026) - [i9]Hongchen Li, Tianyu Li, Jiazhi Yang, Haochen Tian
PlannerRFT: Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning. CoRR abs/2601.12901 (2026) - [i8]Huanyu Zhang, Xuehai Bai, Chengzu Li, Chen Liang, Haochen Tian, Haodong Li, Ruichuan An, Yifan Zhang, Anna Korhonen, Zhang Zhang, Liang Wang, Tieniu Tan:
How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing. CoRR abs/2602.01851 (2026) - [i7]Yinfeng Gao, Deqing Liu, Qichao Zhang, Yupeng Zheng, Haochen Tian, Guang Li, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao:
Learning from Mistakes: Post-Training for Driving VLA with Takeover Data. CoRR abs/2603.14972 (2026) - 2025
- [c2]Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin:
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? ICLR 2025 - [c1]Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Tingting Gao, Zhang Zhang, Fan Yang, Di Zhang, Liang Wang, Rong Jin:
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. ICML 2025 - [i6]Yifan Zhang, Tao Yu, Haochen Tian
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. CoRR abs/2502.10391 (2025) - [i5]Haochen Liu, Tianyu Li, Haohan Yang, Li Chen, Caojun Wang, Ke Guo, Haochen Tian, Hongchen Li, Hongyang Li, Chen Lv:
Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving. CoRR abs/2506.09800 (2025) - [i4]Yifan Zhang, Haihua Yang, Huanyu Zhang, Yang Shi, Zezhou Chen, Haochen Tian
BaseReward: A Strong Baseline for Multimodal Reward Model. CoRR abs/2509.16127 (2025) - [i3]Yang Shi, Yuhao Dong, Yue Ding, Yuran Wang
RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark. CoRR abs/2509.24897 (2025) - [i2]Haochen Tian, Tianyu Li, Haochen Liu, Jiazhi Yang, Yihang Qiu, Guang Li, Junli Wang, Yinfeng Gao, Zhang Zhang, Liang Wang, Hangjun Ye, Tieniu Tan, Long Chen, Hongyang Li:
SimScale: Learning to Drive via Real-World Simulation at Scale. CoRR abs/2511.23369 (2025) - 2024
- [i1]Yifan Zhang, Huanyu Zhang, Haochen Tian
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR abs/2408.13257 (2024)
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