DEM resolution dependencies of terrain attributes across a landscape. - Yongxin Deng; John P. Wilson; B. O. Bauer (Int. J. Geogr. Inf. Sci., 2007)

Using NDVI to define thermal south in several mountainous landscapes of California. - Yongxin Deng; Michael F. Goodchild; Xianfeng Chen (Comput. Geosci., 2009)

Challenges and complications in neighborhood mapping: from neighborhood concept to operationalization. - Yongxin Deng (J. Geogr. Syst., 2016)

Population Surface Generation: Separating Urban and Rural. - Yongxin Deng; Adam Frantz; Alexis Araoz (Cartogr. Int. J. Geogr. Inf. Geovisualization, 2017)

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. - Xiaoyu Tan; Yongxin Deng; Chao Qu; Siqiao Xue; Xiaoming Shi 001; James Y. Zhang; Xihe Qiu (SIGIR-AP, 2023)

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. - Xiaoyu Tan; Yongxin Deng; Xihe Qiu; Weidi Xu; Chao Qu; Wei Chu; Yinghui Xu; Yuan Qi 001 (CoRR, 2024)

Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory. - Yongxin Deng; Xihe Qiu; Xiaoyu Tan; Jing Pan; Jue Chen; Zhijun Fang; Yinghui Xu; Wei Chu; Yuan Qi 001 (CoRR, 2024)

LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offs. - Yongxin Deng; Xihe Qiu; Xiaoyu Tan; Wei Chu; Yinghui Xu (CoRR, 2024)

FedSlate:A Federated Deep Reinforcement Learning Recommender System. - Yongxin Deng; Xiaoyu Tan; Xihe Qiu; Yaochu Jin (CoRR, 2024)

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. - Yongxin Deng; Xihe Qiu; Xiaoyu Tan; Chao Qu; Jing Pan; Yuan Cheng; Yinghui Xu; Wei Chu (ICASSP, 2025)

Reward guidance for reinforcement learning tasks based on large language models: The LMGT framework. - Yongxin Deng; Xihe Qiu; Jue Chen; Xiaoyu Tan (Knowl. Based Syst., 2025)