Publications (18)
BACOM2: a Java tool for detecting normal cell contamination of copy number in heterogeneous tumor
Yi Fu, Jun Ruan, Guoqiang Yu +6
We develop a cross-platform open-source Java application (BACOM2) with graphic user interface (GUI), and users also can use a XML file to set the parameters of algorithm model, fil…
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition
Dongliang He, Fu Li, Qijie Zhao +3
In this report, our approach to tackling the task of ActivityNet 2018 Kinetics-600 challenge is described in detail. Though spatial-temporal modelling methods, which adopt either s…
Mutant Fixation for a Stochastic Evolutionary Model in Fragmented Populations
Yi Fu, Natalia L. Komarova
Population fragmentation is a common feature of many biological systems. Understanding mutant fixation in such systems is challenging because the underlying stochastic dynamics are…
Comparison Theorems for Stochastic Chemical Reaction Networks
Felipe A. Campos, Simone Bruno, Yi Fu +2
Continuous-time Markov chains are frequently used as stochastic models for chemical reaction networks, especially in the growing field of systems biology. A fundamental problem for…
BACOM 2.0 facilitates absolute normalization and quantification of somatic copy number alterations in heterogeneous tumor
Yi Fu, Guoqiang Yu, Douglas A. Levine +5
BACOM is a statistically principled and unsupervised method that detects copy number deletion types (homozygous versus heterozygous), estimates normal cell fraction, and recovers c…
EvoMakeup: High-Fidelity and Controllable Makeup Editing with MakeupQuad
Huadong Wu, Yi Fu, Yunhao Li +2
Facial makeup editing aims to realistically transfer makeup from a reference to a target face. Existing methods often produce low-quality results with coarse makeup details and str…
Coherent Loss: A Generic Framework for Stable Video Segmentation
Mingyang Qian, Yi Fu, Xiao Tan +5
Video segmentation approaches are of great importance for numerous vision tasks especially in video manipulation for entertainment. Due to the challenges associated with acquiring…
Observation of superluminal signaling of terahertz pulses
Liang Wu, Zhiyong Wang, Kai Kang1 +4
Superluminal tunneling of light through a barrier has attracted broad interest in the last several decades. Despite the observation of such phenomena in various systems, it has bee…
A Statistical Approach to Identifying Significant Transgenerational Methylation Changes
Ye Tian, Yi Fu, Guoqiang Yu +2
Epigenetic aberrations have profound effects on phenotypic output. Genome wide methylation alterations are inheritable to pass down the aberrations through multiple generations. We…
Structure based SAT dataset for analysing GNN generalisation
Yi Fu, Anthony Tompkins, Yang Song +1
Satisfiability (SAT) solvers based on techniques such as conflict driven clause learning (CDCL) have produced excellent performance on both synthetic and real world industrial prob…
Empirical properties of optima in free semidefinite programs
Eric Evert, Yi Fu, J. William Helton +1
Semidefinite programming is based on optimization of linear functionals over convex sets defined by linear matrix inequalities, namely, inequalities of the form $$L_A(X)=I-A_1X_1-\…
Bernini: Latent Semantic Planning for Video Diffusion
Bernini Team, Chenchen Liu, Junyi Chen +9
Multimodal large language models (MLLMs) and diffusion models have each reached remarkable maturity: MLLMs excel at reasoning over heterogeneous multimodal inputs with strong seman…
Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object Tracking
Yiheng Liu, Junta Wu, Yi Fu
Multi-object tracking (MOT) at low frame rates can reduce computational, storage and power overhead to better meet the constraints of edge devices. Many existing MOT methods suffer…
Geometric construction of k-optimal locally repairable codes
Yi Fu, Xiuling Shan
A linear code is referred to as a locally repairable code (LRC) with locality r if any erased code symbol can be recovered by accessing at most r other code symbols. LRCs are highl…
Deep learning numerical methods for high-dimensional fully nonlinear PIDEs and coupled FBSDEs with jumps
Wansheng Wang, Jie Wang, Jinping Li +2
We propose a deep learning algorithm for solving high-dimensional parabolic integro-differential equations (PIDEs) and high-dimensional forward-backward stochastic differential equ…
FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
Jiaxuan Lu, Kong Wang, Yemin Wang +9
The integration of Large Language Models (LLMs) into the financial domain is driving a paradigm shift from passive information retrieval to dynamic, agentic interaction. While gene…
Coclique level structure for stochastic chemical reaction networks
Simone Bruno, Yi Fu, Felipe A. Campos +2
Continuous time Markov chains are commonly used as models for the stochastic behavior of chemical reaction networks. More precisely, these Stochastic Chemical Reaction Networks (SC…
Analysis of singularly perturbed stochastic chemical reaction networks motivated by applications to epigenetic cell memory
Simone Bruno, Felipe A. Campos, Yi Fu +2
Epigenetic cell memory, the inheritance of gene expression patterns across subsequent cell divisions, is a critical property of multi-cellular organisms. In recent work [10], a sub…