Dekang Qi

According to our database, Dekang Qi authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents.

Dongjie Huo, Haoyun Liu, Guoqing Liu, Dekang Qi, Zhiming Sun, Maoguo Gao, Jianxin He, Yandan Yang, Xinyuan Chang, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu

CoRR, April, 2026

ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment.

Yuzhi Chen, Ronghan Chen, Dongjie Huo, Yandan Yang, Dekang Qi, Haoyun Liu, Tong Lin, Shuang Zeng, Junjin Xiao, Xinyuan Chang, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu

CoRR, March, 2026

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning.

Yandan Yang, Shuang Zeng, Tong Lin, Xinyuan Chang, Dekang Qi, Junjin Xiao, Haoyun Liu, Ronghan Chen, Yuzhi Chen, Dongjie Huo, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu

CoRR, February, 2026

MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation.

Dekang Qi, Shuang Zeng, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Mu Xu

CoRR, February, 2026

2025

JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation.

Shuang Zeng, Dekang Qi, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Shiyi Liang, Mu Xu, Xing Wei

CoRR, September, 2025

2024

Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction.

Dekang Qi, Xiuwen Yi, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

Multi-memory Enhanced Separation Network for Indoor Temperature Prediction.

Zhewen Duan, Xiuwen Yi, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng

Proceedings of the Database Systems for Advanced Applications, 2022

2020

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning.

Junbo Zhang, Yu Zheng, Junkai Sun, Dekang Qi

IEEE Trans. Knowl. Data Eng., 2020

2018

Predicting citywide crowd flows using deep spatio-temporal residual networks.

Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li

Artif. Intell., 2018

2017

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction.

Junbo Zhang, Yu Zheng, Dekang Qi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

DNN-based prediction model for spatio-temporal data.

Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016