Enhancing the Accuracy and Temporal Transferability of Irrigated Cropping Field Classification Using Optical Remote Sensing Imagery. - Zitian Gao; Danlu Guo; Dongryeol Ryu; Andrew W. Western (Remote. Sens., 2022)

Training sample selection for robust multi-year within-season crop classification using machine learning. - Zitian Gao; Danlu Guo; Dongryeol Ryu; Andrew W. Western (Comput. Electron. Agric., 2023)

MarkLLM: An Open-Source Toolkit for LLM Watermarking. - Leyi Pan; Aiwei Liu; Zhiwei He 002; Zitian Gao; Xuandong Zhao; Yijian Lu; Binglin Zhou; Shuliang Liu; Xuming Hu; Lijie Wen 001; Irwin King (CoRR, 2024)

Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Method. - Zitian Gao; Yihao Xiao (CoRR, 2024)

WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents. - Leyi Pan; Aiwei Liu; Yijian Lu; Zitian Gao; Yichen Di; Lijie Wen 001; Irwin King; Philip S. Yu (CoRR, 2024)

Interpretable Contrastive Monte Carlo Tree Search Reasoning. - Zitian Gao; Boye Niu; Xuzheng He; Haotian Xu; Hongzhang Liu; Aiwei Liu; Xuming Hu; Lijie Wen 001 (CoRR, 2024)

Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage. - Bin Lei; Yuchen Li 015; Yiming Zeng 012; Tao Ren; Yi Luo; Tianyu Shi; Zitian Gao; Zeyu Hu; Weitai Kang; Qiuwu Chen (CoRR, 2024)

WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents. - Leyi Pan; Aiwei Liu; Yijian Lu; Zitian Gao; Yichen Di; Lijie Wen 001; Irwin King; Philip S. Yu (NAACL (Findings), 2025)

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning. - Tian Xie; Zitian Gao; Qingnan Ren; Haoming Luo; Yuqian Hong; Bryan Dai; Joey Zhou; Kai Qiu; Zhirong Wu; Chong Luo (CoRR, 2025)

One-shot Entropy Minimization. - Zitian Gao; Lynx Chen; Joey Zhou; Bryan Dai (CoRR, 2025)