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DEQIAN KONG
DEQIAN KONG
Department of Statistics, UCLA
Verified email at ucla.edu - Homepage
Title
Cited by
Cited by
Year
Yourefit: Embodied reference understanding with language and gesture
Y Chen, Q Li, D Kong, YL Kei, SC Zhu, T Gao, Y Zhu, S Huang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
402021
A benchmark dataset and multi-scale attention network for semantic traffic light detection
Y Feng, D Kong, P Wei, H Sun, N Zheng
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1-8, 2019
82019
Molecule design by latent space energy-based modeling and gradual distribution shifting
D Kong, B Pang, T Han, YN Wu
Uncertainty in Artificial Intelligence, 1109-1120, 2023
62023
Latent energy-based odyssey: Black-box optimization via expanded exploration in the energy-based latent space
P Yu, D Zhang, H He, X Ma, R Miao, Y Lu, Y Zhang, D Kong, R Gao, J Xie, ...
arXiv preprint arXiv:2405.16730, 2024
52024
Unsupervised meta-learning via latent space energy-based model of symbol vector coupling
D Kong, B Pang, YN Wu
Fifth Workshop on Meta-Learning at the Conference on Neural Information …, 2021
52021
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
Y Xu, D Kong, D Xu, Z Ji, B Pang, P Fung, YN Wu
International Conference on Machine Learning, 2023
42023
Molecule Design by Latent Prompt Transformer
D Kong, Y Huang, J Xie, YN Wu
NeurIPS 2023 AI for Science Workshop., 2023
22023
A statistical approach to topological entanglement: Boltzmann machine representation of high-order irreducible correlation
S Feng, D Kong, N Trivedi
arXiv preprint arXiv:2302.03212, 2023
22023
Molecule Design by Latent Prompt Transformer
D Kong, Y Huang, J Xie, E Honig, M Xu, S Xue, P Lin, S Zhou, S Zhong, ...
NeurIPS 2024, 2024
1*2024
Latent Plan Transformer: Planning as Latent Variable Inference
D Kong, D Xu, M Zhao, B Pang, J Xie, A Lizarraga, Y Huang, S Xie, ...
arXiv preprint arXiv:2402.04647, 2024
12024
A minimalistic representation model for head direction system
M Zhao, D Xu, D Kong, WH Zhang, YN Wu
arXiv preprint arXiv:2411.10596, 2024
2024
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting
E Hanchen Jiang, Z Zhang, D Zhang, A Lizarraga, C Xu, Y Zhang, S Zhao, ...
arXiv e-prints, arXiv: 2410.11359, 2024
2024
Latent Space Energy-based Neural ODEs
S Cheng, D Kong, J Xie, K Lee, YN Wu, Y Yang
arXiv preprint arXiv:2409.03845, 2024
2024
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
D Kong, D Xu, M Zhao, B Pang, J Xie, A Lizarraga, Y Huang, S Xie, ...
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
2024
Long-term social interaction context: The key to egocentric addressee detection
D Kong, F Khan, X Zhang, P Singhal, YN Wu
ICASSP 2024, 2024
2024
Learning Energy-Based Prior Model for Unsupervised Meta-Learning
D Kong
University of California, Los Angeles, 2021
2021
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Articles 1–16