Dingfeng Shi （石鼎丰）
Dingfeng Shi （石鼎丰）
Computer vision(CV), large language model (LLM), video understanding and detection.

About Me

I am currently a researcher at OPPO Personal AI Lab, specializing in LLM agent research and its practical applications. I earned my PhD from Beihang University, under the mentorship of Haogang Zhu and Jian Cheng. Before that, I interned at JD Explore Academy, collaborating with Dacheng Tao, Qiong Cao, and Yujie Zhong.

My research focuses on large language models (LLMs), computer vision and video understanding.

[Google Scholar], [Github], [Email].

News

  • [2026.01.27] Four paper is accepted at ICLR 2026
  • [2023.02.27] One paper is accepted at CVPR 2023
  • [2022.09.15] One paper is accepted at NeurIPS 2022
  • [2022.07.09] One paper is accepted at ECCV 2022
  • [2020.03.06] One paper is accepted at ICME 2020

Publications

TaskCraft: Automated Generation of Agentic Tasks
Dingfeng Shi*, Jingyi Cao*, Qianben Chen*, Weichen Sun, Weizhen Li, Hongxuan Lu, Fangchen Dong, Tianrui Qin, King Zhu, Minghao Liu, Jian Yang, Ge Zhang, Jiaheng Liu, Changwang Zhang, Jun Wang, Yuchen Eleanor Jiang, Wangchunshu Zhou
International Conference on Learning Representations (ICLR), 2026.
[PDF] [CODE]
A2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning
Qianben Chen, Jingyi Cao, Jiayu Zhang, Tianrui Qin, LiXiaowan, King Zhu, Dingfeng Shi, He Zhu, Minghao Liu, Xiaobo Liang, Ge Zhang, Jian Yang, Yuchen Eleanor Jiang, Wangchunshu Zhou
International Conference on Learning Representations (ICLR), 2026.
[PDF] [CODE]
Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution
Tianrui Qin, Qianben Chen, Sinuo Wang, He Xing, King Zhu, He Zhu, Dingfeng Shi, Xinxin Liu, Ge Zhang, Jiaheng Liu, Xitong Gao, Yuchen Eleanor Jiang, Wangchunshu Zhou
International Conference on Learning Representations (ICLR), 2026.
[PDF] [CODE]
ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems
Xin Gui, King Zhu, JinCheng Ren, Qianben Chen, Zekun Moore Wang, Yizhi LI, Xinpeng Liu, Wenli Ren, Linyu Miao, Tianrui Qin, Ziqi Shu, He Zhu, Dingfeng Shi, Jiaheng Liu, Yuchen Eleanor Jiang, Minghao Liu, Ge Zhang, Wangchunshu Zhou
International Conference on Learning Representations (ICLR), 2026.
[PDF] [CODE]
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Weizhen Li, Jianbo Lin, Zhuosong Jiang, Jingyi Cao, Xinpeng Liu, Jiayu Zhang, Huang Zhenqiang, Qianben Chen, Weichen Sun, Qiexiang Wang, Hongxuan Lu, Tianrui Qin, ChenghaoZhu, Yi Yao, Shuying Fan, LiXiaowan, Tiannan Wang, Pai Liu, King Zhu, He Zhu, Dingfeng Shi, Piaohong Wang, Yeyi Guan, Xiangru Tang, Minghao Liu, Yuchen Eleanor Jiang, Jian Yang, Jiaheng Liu, Ge Zhang, Wangchunshu Zhou
Arxiv, 2025.
[PDF] [CODE]
Temporal Action Localization with Enhanced Instant Discriminability
Dingfeng Shi, Qiong Cao, Yujie Zhong, Shan An, Jian Cheng, Haogang Zhu, Dacheng Tao
Arxiv, 2023.
[PDF]
TriDet: Temporal Action Detection with Relative Boundary Modeling
Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[PDF] [CODE]
Benefits of Permutation-equivariance in Auction Mechanisms
Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao
Neural Information Processing Systems (NeurIPS), 2022.
[PDF] [CODE]
ReAct: Temporal Action Detection with Relational Action Queries
Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li and Dacheng Tao
European Conference on Computer Vision (ECCV), 2022.
[PDF] [CODE]
Reconstructing Part-level 3D Models from a Single Image
Dingfeng Shi, Yifan Zhao, Jia Li
IEEE International Conference on Multimedia and Expo (ICME), 2020.
[PDF]

Academic Services

I serve as a reviewer for journals such as TPAMI, TIP, TMM, TCSVT and PR, as well as conferences like CVPR, ICCV, ECCV, NeurIPS, and AAAI.