Kong, Deqian

12 publications

CoRL 2025 Latent Adaptive Planner for Dynamic Manipulation Donghun Noh, Deqian Kong, Minglu Zhao, Andrew Lizarraga, Jianwen Xie, Ying Nian Wu, Dennis Hong

TMLR 2025 Latent Space Energy-Based Neural ODEs Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang

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

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

NeurIPS 2024 Molecule Design by Latent Prompt Transformer Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, 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 2023 Molecule Design by Latent Prompt Transformer Deqian Kong, Yuhao Huang, Jianwen Xie, Ying Nian Wu

UAI 2023 Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting Deqian Kong, Bo Pang, Tian Han, Ying Nian Wu

NeurIPSW 2021 Unsupervised Meta-Learning via Latent Space Energy-Based Model of Symbol Vector Coupling Deqian Kong, Bo Pang, Ying Nian Wu

ICCV 2021 YouRefIt: Embodied Reference Understanding with Language and Gesture Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang