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2020 – today
- 2025
[c7]Xiaoqing Zhang, Yuhan Liu, Flood Sung, Xiuying Chen, Shuo Shang, Rui Yan:
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement. ACL (Findings) 2025: 23268-23281- [c6]Xiaoqing Zhang, Ang Lv, Yuhan Liu, Flood Sung, Wei Liu, Jian Luan, Shuo Shang, Xiuying Chen, Rui Yan:
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives. ACL (1) 2025: 30539-30552 - [c5]Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang:
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. ICLR 2025 - [i13]Xiaoqing Zhang, Ang Lv, Yuhan Liu, Flood Sung, Wei Liu, Shuo Shang, Xiuying Chen, Rui Yan:
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives. CoRR abs/2501.04070 (2025) - [i12]Xiaoqing Zhang, Yuhan Liu, Flood Sung, Xiuying Chen, Rui Yan:
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement. CoRR abs/2502.17442 (2025) - [i11]Haiming Wang, Mert Unsal, Xiaohan Lin, Mantas Baksys, Junqi Liu, Marco Dos Santos, Flood Sung, Marina Vinyes, Zhenzhe Ying, Zekai Zhu, Jianqiao Lu, Hugues de Saxcé, Bolton Bailey, Chendong Song, Chenjun Xiao, Dehao Zhang, Ebony Zhang, Frederick Pu, Han Zhu, Jiawei Liu, Jonas Bayer
, Julien Michel, Longhui Yu, Léo Dreyfus-Schmidt, Lewis Tunstall, Luigi Pagani, Moreira Machado, Pauline Bourigault, Ran Wang, Stanislas Polu, Thibaut Barroyer, Wen-Ding Li, Yazhe Niu, Yann Fleureau, Yangyang Hu, Zhouliang Yu, Zihan Wang, Zhilin Yang, Zhengying Liu, Jia Li:
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning. CoRR abs/2504.11354 (2025) - [i10]Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang:
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. CoRR abs/2505.00031 (2025) - [i9]Liang Chen, Hongcheng Gao, Tianyu Liu, Zhiqi Huang, Flood Sung, Xinyu Zhou, Yuxin Wu, Baobao Chang:
G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. CoRR abs/2505.13426 (2025) - [i8]Xiaoqing Zhang, Huabin Zheng, Ang Lv, Yuhan Liu, Zirui Song, Flood Sung, Xiuying Chen, Rui Yan:
Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games. CoRR abs/2505.16401 (2025) - [i7]Zhexu Wang, Yiping Liu, Yejie Wang, Wenyang He, Bofei Gao, Muxi Diao, Yanxu Chen, Kelin Fu, Flood Sung, Zhilin Yang, Tianyu Liu, Weiran Xu:
OJBench: A Competition Level Code Benchmark For Large Language Models. CoRR abs/2506.16395 (2025) - [i6]Xinyuan Wang, Bowen Wang, Dunjie Lu, Junlin Yang, Tianbao Xie, Junli Wang, Jiaqi Deng, Xiaole Guo, Yiheng Xu, Chen Henry Wu, Zhennan Shen, Zhuokai Li, Ryan Li, Xiaochuan Li, Junda Chen, Boyuan Zheng, Peihang Li, Fangyu Lei, Ruisheng Cao, Yeqiao Fu, Dongchan Shin, Martin Shin, Jiarui Hu, Yuyan Wang, Jixuan Chen, Yuxiao Ye, Danyang Zhang, Dikang Du, Hao Hu, Huarong Chen, Zaida Zhou, Haotian Yao, Ziwei Chen, Qizheng Gu, Yipu Wang, Heng Wang, Diyi Yang, Victor Zhong, Flood Sung, Y. Charles, Zhilin Yang, Tao Yu:
OpenCUA: Open Foundations for Computer-Use Agents. CoRR abs/2508.09123 (2025) - [i5]Zonghan Yang, Shengjie Wang, Kelin Fu, Wenyang He, Weimin Xiong, Yibo Liu, Yibo Miao, Bofei Gao, Yejie Wang, Yingwei Ma, Yanhao Li, Yue Liu, Zhenxing Hu, Kaitai Zhang, Shuyi Wang, Huarong Chen, Flood Sung, Yang Liu, Yang Gao, Zhilin Yang, Tianyu Liu:
Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents. CoRR abs/2509.23045 (2025) - 2023
- [c4]Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen:
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations. NeurIPS 2023 - 2020
- [c3]Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales:
RelationNet2: Deep Comparison Network for Few-Shot Learning. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [c2]Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. CVPR 2018: 1199-1208 - [c1]Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie:
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. ICASSP 2018: 2706-2710 - [i4]Xueting Zhang, Flood Sung, Yuting Qiang, Yongxin Yang, Timothy M. Hospedales:
Deep Comparison: Relation Columns for Few-Shot Learning. CoRR abs/1811.07100 (2018) - 2017
- [i3]Flood Sung, Li Zhang, Tao Xiang, Timothy M. Hospedales, Yongxin Yang:
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning. CoRR abs/1706.09529 (2017) - [i2]Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales:
Actor-Critic Sequence Training for Image Captioning. CoRR abs/1706.09601 (2017) - [i1]Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. CoRR abs/1711.06025 (2017)
Coauthor Index
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