Publications (13)
LoViF 2026 The First Challenge on Weather Removal in Videos
Chenghao Qian, Xin Li, Yeying Jin +23
This paper presents a review of the LoViF 2026 Challenge on Weather Removal in Videos. The challenge encourages the development of methods for restoring clean videos from inputs de…
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks
Yurong Zhong, Zhe Xie, Weiling Li +1
An Undirected Weighted Network (UWN) is commonly found in big data-related applications. Note that such a network's information connected with its nodes, and edges can be expressed…
A Practical Second-order Latent Factor Model via Distributed Particle Swarm Optimization
Jialiang Wang, Yurong Zhong, Weiling Li
Latent Factor (LF) models are effective in representing high-dimension and sparse (HiDS) data via low-rank matrices approximation. Hessian-free (HF) optimization is an efficient me…
Implicit vs. Explicit Prompting Strategies for LVLMs in Referential Communication
Peter Zeng, Amie J. Paige, Weiling Li +3
Two recent studies (Jones et al. (2026); Zeng et al. (2026)) reach apparently contradictory conclusions about whether LVLMs can coordinate on efficient referring expressions. We co…
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks
Zhe Xie, Weiling Li, Yurong Zhong
Large-scale undirected weighted networks are usually found in big data-related research fields. It can naturally be quantified as a symmetric high-dimensional and incomplete (SHDI)…
LVLMs are Bad at Overhearing Human Referential Communication
Zhengxiang Wang, Weiling Li, Panagiotis Kaliosis +2
During spontaneous conversations, speakers collaborate on novel referring expressions, which they can then re-use in subsequent conversations. Understanding such referring expressi…
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model
Jialiang Wang, Weiling Li, Yurong Zhong +1
Interactions among large number of entities is naturally high-dimensional and incomplete (HDI) in many big data related tasks. Behavioral characteristics of users are hidden in the…
Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging
Kaiguang Yang, Yeping Wang, Qianhao Luo +2
Occupational pneumoconiosis (OP) staging is a vital task concerning the lung healthy of a subject. The staging result of a patient is depended on the staging standard and his chest…
Second-order Symmetric Non-negative Latent Factor Analysis
Weiling Li, Xin Luo
Precise representation of large-scale undirected network is the basis for understanding relations within a massive entity set. The undirected network representation task can be eff…
Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks
Yurong Zhong, Zhe Xie, Weiling Li +1
An Undirected Weighted Network (UWN) is frequently encountered in a big-data-related application concerning the complex interactions among numerous nodes, e.g., a protein interacti…
LVLMs and Humans Ground Differently in Referential Communication
Peter Zeng, Weiling Li, Amie J. Paige +6
For generative AI agents to partner effectively with human users, the ability to accurately predict human intent is critical. But this ability to collaborate remains limited by a c…
Representation Learning on Event Stream via an Elastic Net-incorporated Tensor Network
Beibei Yang, Weiling Li, Yan Fang
Event cameras are neuromorphic sensors that capture asynchronous and sparse event stream when per-pixel brightness changes. The state-of-the-art processing methods for event signal…
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis
Yurong Zhong, Zhe Xie, Weiling Li +1
High-Dimensional and Incomplete (HDI) data is commonly encountered in big data-related applications like social network services systems, which are concerning the limited interacti…