Inverse inference of lithium-ion battery degradation parameters via physical modeling and data-driven machine learning
Chenhang Zheng, Peiheng Lai, Minggang Zeng, Hao Wu, Bharathi Madurai Srinivasan, Xintian Zhang, et al.
14 papers indexed
Chenhang Zheng, Peiheng Lai, Minggang Zeng, Hao Wu, Bharathi Madurai Srinivasan, Xintian Zhang, et al.
Salvador Sampere-Birlanga, Stefan Klein‐Hessling, Miriam Campillo Prados, Anfei Huang, Hao Wu, Andreas Rosenwald, et al.
Persistent antigenic stimulation leads to the dysfunction of CD8 + cytotoxic T cells. These “exhausted” T EX cells exhibit reduced proliferative capacity, impaired effector function, and increased expression of co-inhibitory receptors. Chronic antigen receptor stimulation induces…
Hao Wu, Heyi Lin, Zilin Wang, Huizai Yao, Hao Wang, Hui Xiong
Large pretrained vision models have substantially improved appearance-based 3D shape retrieval, but they still confuse shapes that look similar while differing in geometry. Although geometry-aware features can reduce these errors, naive fusion of geometry and appearance may hurt…
Hao Wu, Jinjing Zhu, Nanyu Wu, Qianyi Cai, Heyi Lin, Hao Wang, et al.
Edit-conditioned 3D scene retrieval pairs a reference 3D room with a natural-language modification and retrieves rooms from a corpus that satisfy the edit. Three lines of prior work each fall short on this task. 2D composed image retrieval reasons over pixel-level edits and has n…
Yongheng Zhang, Guang Yang, Ruihan Hou, Qiguang Chen, Ziang Liu, Xiaolong Liu, et al.
Recent advances in world models and video generation have given rise to an emerging reasoning paradigm that leverages video generative models to simulate, predict, and reason about real-world dynamics. We redefine this paradigm as Thinking in Video, where video is not merely an o…
SciForge Team, Zhangyang Gao, Minghao Fang, Yifei Liu, Hanhui Yang, Xinyu Gu, et al.
Scientific work increasingly spans heterogeneous artifacts -- papers, code, datasets, scientific file formats, model outputs, figures, manuscripts, and team decisions -- yet general-purpose AI assistants rarely preserve these objects as a coherent, auditable research state. We pr…
Xiuyuan Zhu, Ke Lu, Hao Wu, Zijin Du, Dongming Zhang, Jian Xue
Visual grounding with multimodal large language models is commonly formulated as autoregressive coordinate generation, where a model outputs bounding-box coordinates as text given an image and a referring-expression prompt. While this interface is simple and compatible with instr…
Mikail Khona, Aditya Vavre, Boxiang Wang, Deyu Fu, Hao Wu, Mike Chrzanowski, et al.
Higher-order optimizers such as Muon and SOAP offer faster convergence than AdamW, but their computational cost and numerical stability challenges have limited adoption at scale. In this work, we adapt and enhance preconditioned gradient methods to overcome the practical challeng…
Zhiqiang Xiao, Tao Zhang, Zhenjun Dong, Hao Wu, Xiaoqiang Qiao, Jianhua Zhang
The safety development requirements of low-altitude economy (LAE) renders the robust low-altitude airspace monitoring critical important than ever before. Integrated sensing and communication (ISAC) as one of the key development trends of 6G provides potential solutions for the L…
Ling Xu, Chuyu Han, Borui Li, Hao Wu, Shiqi Jiang, Ting Cao, et al.
Embodied AI models now span vision-language-action (VLA) models and world-action models (WAMs), but practical deployment remains fragmented across model-specific Python stacks, backend assumptions, and robot-side glue code, especially on heterogeneous edge devices. Existing infer…
Yongheng Zhang, Zhipeng Xu, Hao Wu, Yinghui Li, Di Yin, Xing Sun, et al.
Video reasoning requires Large Multimodal Models (LMMs) to remain grounded in dense evidence, yet existing systems largely adopt "read-once, generate-many" paradigm, in which visual grounding weakens during generation. This phenomenon has been widely observed and is known as Visu…
Shei Pern Chua, Hao Wu, Qianli Ma, Fangzhao Wu
Understanding how aligned LLMs internally represent safety is critical for diagnosing alignment vulnerabilities, as it explains why jailbreaks succeed and informs the design of robust alignment strategies. Prior work shows that aligned LLMs encode harmfulness and refusal as separ…
Yu Zhang, Zhiyong Hu, Jianjun Xue, Keng Li, Ming Xue, Jingjing Ren, et al.
The rapid proliferation of the Medical Internet of Things (MIoT) has significantly enhanced real-time healthcare monitoring while introducing complex, dynamic communication behaviors among heterogeneous medical devices. Accurate modeling of these behaviors is essential for ensuri…
Junchao Xiao, Hao Wu, Xiangxue Li
An internet of vehicles allows intelligent automobiles to interchange messages with other cars, traffic management departments, and data analysis companies about vehicle identification, accident detection, and danger warnings. The implementation of these features requires Interne…