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2020 – today
- 2026
[c4]Chuhuai Yue, Chengqi Dong, Yinan Gao, Hang He, Jiajun Chai, Wei Lin, Guojun Yin:
Promoting Efficient Reasoning with Verifiable Stepwise Reward. AAAI 2026: 34530-34538- [i8]Chengqi Dong, Zhiyuan Cao, Tuoshi Qi, Kexin Wu, Yixing Gao, Fan Tang:
Row-Column Separated Attention Based Low-Light Image/Video Enhancement. CoRR abs/2602.07428 (2026) - 2025
- [c3]Chengqi Dong, Fenghe Tang, Rongge Mao, Xinpei Gao, S. Kevin Zhou
:
Thinning a Medical Image Segmentation Model via Dual-Level Multiscale Fusion. ECAI 2025: 739-746 - [c2]Fenghe Tang, Bingkun Nian, Jianrui Ding, Wenxin Ma, Quan Quan, Chengqi Dong, Jie Yang, Wei Liu, S. Kevin Zhou:
Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation. ACM Multimedia 2025: 3408-3417 - [i7]Chuhuai Yue, Chengqi Dong, Yinan Gao, Hang He, Jiajun Chai, Guojun Yin, Wei Lin:
Promoting Efficient Reasoning with Verifiable Stepwise Reward. CoRR abs/2508.10293 (2025) - [i6]Chengqi Dong, Fenghe Tang, Rongge Mao, Xinpei Gao, S. Kevin Zhou:
LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion. CoRR abs/2508.15476 (2025) - [i5]Jiajun Chai, Guojun Yin, Zekun Xu, Chuhuai Yue, Yi Jia, Siyu Xia, Xiaohan Wang, Jiwen Jiang, Xiaoguang Li, Chengqi Dong, Hang He, Wei Lin:
RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use. CoRR abs/2509.06980 (2025) - [i4]Fenghe Tang, Chengqi Dong, Wenxin Ma, Zikang Xu, Heqin Zhu, Zihang Jiang, Rongsheng Wang, Yuhao Wang, Chenxu Wu, Shaohua Kevin Zhou:
U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking. CoRR abs/2510.07041 (2025) - [i3]Hang He, Chuhuai Yue, Chengqi Dong, Mingxue Tian, Zhenfeng Liu, Jiajun Chai, Xiaohan Wang, Yufei Zhang, Qun Liao, Guojun Yin, Wei Lin, Chengcheng Wan, Haiying Sun, Ting Su:
LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services. CoRR abs/2512.07436 (2025) - [i2]Chengqi Dong, Chuhuai Yue, Hang He, Rongge Mao, Fenghe Tang, S. Kevin Zhou, Zekun Xu, Xiaohan Wang, Jiajun Chai, Wei Lin, Guojun Yin:
Training Multi-Image Vision Agents via End2End Reinforcement Learning. CoRR abs/2512.08980 (2025) - 2024
- [j1]Chengqi Dong, Zhiyuan Cao, Tuoshi Qi, Kexin Wu, Yixing Gao, Fan Tang:
Row-Column Separated Attention Based Low-Light Image/Video Enhancement. Comput. Graph. Forum 43(6) (2024) - [c1]Zhiyuan Cao, Jiayu Xu, Chengqi Dong, Peiwen Yu, Tian Bai:
MATCC: A Novel Approach for Robust Stock Price Prediction Incorporating Market Trends and Cross-time Correlations. CIKM 2024: 187-196 - [i1]Chengqi Dong, Zhiyuan Cao, S. Kevin Zhou, Jia Liu:
DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction. CoRR abs/2411.06065 (2024)
Coauthor Index
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