Xiang Deng

According to our database, Xiang Deng authored at least 29 papers between 2017 and 2025.

Collaborative distances:

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

2025

DAgger Diffusion Navigation: DAgger Boosted Diffusion Policy for Vision-Language Navigation.

Haoxiang Shi, Xiang Deng, Zaijing Li, Gongwei Chen, Yaowei Wang, Liqiang Nie

CoRR, August, 2025

UAV-ON: A Benchmark for Open-World Object Goal Navigation with Aerial Agents.

Jianqiang Xiao, Yuexuan Sun, Yixin Shao, Boxi Gan, Rongqiang Liu, Yanjing Wu, Weili Guan, Xiang Deng

CoRR, August, 2025

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization.

Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie

CoRR, June, 2025

Few-Shot Vision-Language Action-Incremental Policy Learning.

Mingchen Song, Xiang Deng, Guoqiang Zhong, Qi Lv, Jia Wan, Yinchuan Li, Jianye Hao, Weili Guan

CoRR, April, 2025

Embodied Crowd Counting.

Runling Long, Yunlong Wang, Jia Wan, Xiang Deng, Xinting Zhu, Weili Guan, Antoni B. Chan, Liqiang Nie

CoRR, March, 2025

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds.

Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation.

Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

EPD: Long-term Memory Extraction, Context-awared Planning and Multi-iteration Decision @ EgoPlan Challenge ICML 2024.

Letian Shi, Qi Lv, Xiang Deng, Liqiang Nie

CoRR, 2024

RoboMP²: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models.

Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie

CoRR, 2024

Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL.

Qi Lv, Xiang Deng, Gongwei Chen, Michael Yu Wang, Liqiang Nie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models.

Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge.

Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Sparsity-control ternary weight networks.

Xiang Deng, Zhongfei Zhang

Neural Networks, 2022

Deep Causal Metric Learning.

Xiang Deng, Zhongfei Zhang

Proceedings of the International Conference on Machine Learning, 2022

Personalized Education: Blind Knowledge Distillation.

Xiang Deng, Jian Zheng, Zhongfei Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Reducing Flipping Errors in Deep Neural Networks.

Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Comprehensive Knowledge Distillation with Causal Intervention.

Xiang Deng, Zhongfei Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Integrating Semantic and Temporal Relationships in Facial Action Unit Detection.

Zhihua Li, Xiang Deng, Xiaotian Li, Lijun Yin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Graph-Free Knowledge Distillation for Graph Neural Networks.

Xiang Deng, Zhongfei Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning with Retrospection.

Xiang Deng, Zhongfei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Embarrassingly Simple Approach to Training Ternary Weight Networks.

Xiang Deng, Zhongfei Zhang

CoRR, 2020

Locally Linear Region Knowledge Distillation.

Xiang Deng, Zhongfei Zhang

CoRR, 2020

Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks.

Xiang Deng, Zhongfei Zhang

CoRR, 2020

Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?

Xiang Deng, Zhongfei (Mark) Zhang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Graph cut based automatic aorta segmentation with an adaptive smoothness constraint in 3D abdominal CT images.

Xiang Deng, Yuanjie Zheng, Yunlong Xu, Xiaoming Xi, Ning Li, Yilong Yin

Neurocomputing, 2018

Image Aesthetic Distribution Prediction with Fully Convolutional Network.

Huidi Fang, Chaoran Cui, Xiang Deng, Xiushan Nie, Muwei Jian, Yilong Yin

Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

Automatic image cropping with a single fully convolutional network.

Xiang Deng, Chaoran Cui, Huihui Liu, Xiushan Nie, Xiaoming Xi, Yilong Yin

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

2017

Distribution-oriented Aesthetics Assessment for Image Search.

Chaoran Cui, Huidi Fang, Xiang Deng, Xiushan Nie, Hongshuai Dai, Yilong Yin

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Personalized Image Aesthetics Assessment.

Xiang Deng, Chaoran Cui, Huidi Fang, Xiushan Nie, Yilong Yin

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017