Xu, Dehong

8 publications

ICML 2025 Latent Thought Models with Variational Bayes Inference-Time Computation Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
ICCV 2025 Multi-Modal Multi-Task Unified Embedding Model (M3T-UEM): A Task-Adaptive Representation Learning Framework Rohan Sharma, Changyou Chen, Feng-Ju Chang, Seongjun Yun, Xiaohu Xie, Rui Meng, Dehong Xu, Alejandro Mottini, Qingjun Cui
ICLR 2025 On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu
NeurIPS 2025 Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning Minglu Zhao, Dehong Xu, Deqian Kong, Wenhao Zhang, Ying Nian Wu
NeurIPSW 2024 A Minimalistic Representation Model for Head Direction System Minglu Zhao, Dehong Xu, Deqian Kong, Wenhao Zhang, Ying Nian Wu
NeurIPS 2024 Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
ICML 2023 Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu
NeurIPSW 2022 Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu