MVG-WAM: Multiple View Geometry-Aware World-Action Modeling for Robotic Manipulation

ArXiv Preprint · Project & Demos

Wenbo Chen†, Tianfu Li†, Haoxuan Xu†, et al.

• Integrates explicit multi-view geometry into world-action modeling for robust robotic manipulation.

SLIP-VLA: Single-Step Latent Imagination for Policy Learning in Vision-Language-Action Models

ArXiv Preprint · Project & Demos

Tianfu Li†, Haoxuan Xu†, Wenbo Chen†, et al.

• Uses single-step future latent imagination to guide efficient, future-aware robot policy learning.

HCSG: Human-Centric Semantic-Geometric Reasoning for Vision-Language Navigation

ArXiv Preprint

Haoxuan Xu†, Tianfu Li†, Wenbo Chen, et al.

• Introduces a human-centric VLN framework that combines geometric human motion forecasting with semantic intention understanding for socially aware navigation.

Mask World Model: Predicting What Matters for Robust Robot Policy Learning

ICML 2026

Yunfan Lou, Xiaowei Chi, Xiaojie Zhang, …, Haoxuan Xu, et al.

• Learns predictive world models over semantic masks rather than raw pixels, improving robot policy robustness to visual distractions and distribution shifts.

GGD-SLAM: Monocular 3DGS SLAM Powered by Generalizable Motion Model for Dynamic Environments

ICRA 2026

Yi Liu, Haoxuan Xu, Hongbo Duan, Keyu Fan, Zhengyang Zhang, Peiyu Zhuang, Pengting Luo, Houde Liu

• Builds a monocular 3D Gaussian Splatting SLAM system for dynamic scenes by separating static mapping cues from dynamic distractors.

P³Nav: End-to-End Perception, Prediction and Planning for Vision-and-Language Navigation

ArXiv Preprint

Tianfu Li†, Wenbo Chen†, Haoxuan Xu†, Xinhu Zheng, Haoang Li

• Unified perception, prediction, and planning in a single VLN network, using intermediate modules to sharpen scene understanding and boost navigation accuracy.

Enhancing Vision-Language Navigation with Multimodal Event Knowledge from Real-World Indoor Tour Videos

ArXiv Preprint

Haoxuan Xu, Tianfu Li, Wenbo Chen, Yi Liu, Xingxing Zuo, Yaoxian Song, Haoang Li

• Constructs multimodal event knowledge from real-world indoor tour videos and injects it into VLN agents for long-horizon reasoning.

IRPO: Boosting Image Restoration via Post-training GRPO

ArXiv Preprint

Haoxuan Xu†, Yi Liu†, Tianfu Li, et al.

• Adapts GRPO-based post-training to image restoration with data-oriented sampling and reward-oriented optimization for stronger in-domain and OOD restoration.

Cross-domain Car Detection Model with Integrated Convolutional Block Attention Mechanism

Image and Vision Computing (JCR Q1, IF:4.7, CCF-C)

Haoxuan Xu†, Songnung Lai†, Yang Yang

• Proposed a complete cross-domain detection framework with an integrated CBAM architecture and GIOU loss optimization.

How did the Chinese Public Discuss the 2023 Türkiye-Syria Earthquake and the Humanitarian Response on Social Media? A Topical and Sentimental Analysis

International Journal of Disaster Risk Science (JCR Q1 (IF: 5.0))

Mengfan Shen, Haoxuan Xu, Hongbing Liu and Ziqiang Han

• Applied topic modeling and sentiment analysis to Weibo posts, identifying key themes and public emotions during international disaster response.

Multimodal Sentiment Analysis: A Survey

Displays (JCR Q1 (IF: 4.3))

Songning Lai, Xifeng Hu, Haoxuan Xu, Zhaoxia Ren and Zhi Liu

• Provides a comprehensive overview of multimodal sentiment analysis, covering its history, datasets, advanced models, and future prospects.

MG-KG: Unsupervised video anomaly detection based on motion guidance and knowledge graph

Image and Vision Computing (JCR Q1, IF:4.7, CCF-C)

Qiyue Sun, Yang Yang, Haoxuan Xu, Zezhou Li, Yunxia Liu and Hongjun Wang

• Addresses spatio-temporal linkage and interpretability in VAD by unifying motion-guided prediction with knowledge-graph retrieval.

Research and Development of Embodied AI-based Multi-terrain Service Robot

• Used ConceptGraph for open-vocabulary scene mapping and CLIP/GPT4 for object retrieval.
• Implemented optimized A* and KD-Tree for path planning.
• Deployed on Songling chassis for sim-to-real transition.