Publications (10)
DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation
Tianjun Gu, Linfeng Li, Xuhong Wang +6
Adaptive navigation in unfamiliar environments is crucial for household service robots but remains challenging due to the need for both low-level path planning and high-level scene…
TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems
Rui Sun, Jie Ding, Chenghua Gong +5
Optimizing communication topology in LLM-based multi-agent system is critical for enabling collective intelligence. Existing methods mainly rely on spatio-temporal interaction para…
From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuning
Sen Wang, Shao Zeng, Tianjun Gu +8
Low-level enhancement and high-level visual understanding in low-light vision have traditionally been treated separately. Low-light enhancement improves image quality for downstrea…
Epi-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
Rui Sun, Chenghua Gong, Tianjun Gu +5
Advancing epidemic dynamics forecasting is vital for targeted interventions and safeguarding public health. Current approaches mainly fall into two categories: mechanism-based and…
Vision-language models lag human performance on physical dynamics and intent reasoning
Tianjun Gu, Jingyu Gong, Zhizhong Zhang +4
Spatial intelligence is central to embodied cognition, yet contemporary AI systems still struggle to reason about physical interactions in open-world human environments. Despite st…
Towards Spatial Supersensing in the Wild
Tianjun Gu, Tianyu Xin, Kuan Zhang +12
The paper introduces VSI‑Super‑Wild, a large benchmark of real‑world long videos with human‑verified QA pairs to evaluate how well multimodal models can track and reason about agen…
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse
Kuan Zhang, Dongchen Liu, Qiyue Zhao +12
The real world unfolds along a single set of physics laws, yet human intelligence demonstrates a remarkable capacity to generalize experiences from this singular physical existence…
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
Chenghua Gong, Rui Sun, Yuhao Zheng +4
Advanced epidemic forecasting is critical for enabling precision containment strategies, highlighting its strategic importance for public health security. While recent advances in…
Efficient Multimodal Large Language Models: A Survey
Yizhang Jin, Jian Li, Yexin Liu +10
In the past year, Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance in tasks such as visual question answering, visual understanding and reasoning.…
Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
Chenghua Gong, Yihang Jiang, Hao Li +5
Advanced opinion dynamics modeling is vital for deciphering social behavior, emphasizing its role in mitigating polarization and securing cyberspace. To synergize mechanistic inter…