Publications (35)
An Agent Based Classification Model
Feng Gu, Uwe Aickelin, Julie Greensmith
The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This ki…
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation
Zhenshi Li, Dilxat Muhtar, Feng Gu +4
Automatically and rapidly understanding Earth's surface is fundamental to our grasp of the living environment and informed decision-making. This underscores the need for a unified…
Learning under Concept Drift: A Review
Jie Lu, Anjin Liu, Fan Dong +3
Concept drift describes unforeseeable changes in the underlying distribution of streaming data over time. Concept drift research involves the development of methodologies and techn…
From Indiscriminate to Targeted: Functionally Critical Signal-Driven Assertion Generation using LLMs for Efficient RTL Verification
Yonghao Wang, Hongqin Lyu, Boling Chen +9
Functional verification has become the most time-consuming phase in IC development, and Assertion-Based Verification (ABV) is key to reducing debugging time. However, existing LLM-…
The Dendritic Cell Algorithm for Intrusion Detection
Feng Gu, Julie Greensmith, Uwe Aickelin
As one of the solutions to intrusion detection problems, Artificial Immune Systems (AIS) have shown their advantages. Unlike genetic algorithms, there is no one archetypal AIS, ins…
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?
Nishant Balepur, Feng Gu, Abhilasha Ravichander +3
Question answering (QA), giving correct answers to questions, is a popular task, but we test reverse question answering (RQA): for an input answer, give a question with that answer…
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding
Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao +2
Self-supervised learning (SSL) has gained widespread attention in the remote sensing (RS) and earth observation (EO) communities owing to its ability to learn task-agnostic represe…
Artificial Immune Systems (INTROS 2)
Uwe Aickelin, Dipankar Dasgupta, Feng Gu
The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body a…
ERASER: Efficient RTL FAult Simulation Framework with Trimmed Execution Redundancy
Jiaping Tang, Jianan Mu, Silin Liu +8
As intelligent computing devices increasingly integrate into human life, ensuring the functional safety of the corresponding electronic chips becomes more critical. A key metric fo…
Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows
Feng Gu, Julie Greensmith, Uwe Aickelin
As an immune-inspired algorithm, the Dendritic Cell Algorithm (DCA), produces promising performances in the field of anomaly detection. This paper presents the application of the D…
Personalized Help for Optimizing Low-Skilled Users' Strategy
Feng Gu, Wichayaporn Wongkamjan, Jonathan K. Kummerfeld +3
AIs can beat humans in game environments; however, how helpful those agents are to human remains understudied. We augment CICERO, a natural language agent that demonstrates superhu…
Integrating Real-Time Analysis With The Dendritic Cell Algorithm Through Segmentation
Feng Gu, Julie Greensmith, Uwe Aickelin
As an immune inspired algorithm, the Dendritic Cell Algorithm (DCA) has been applied to a range of problems, particularly in the area of intrusion detection. Ideally, the intrusion…
MindWatcher: Toward Smarter Multimodal Tool-Integrated Reasoning
Jiawei Chen, Xintian Shen, Lihao Zheng +43
Traditional workflow-based agents exhibit limited intelligence when addressing real-world problems requiring tool invocation. Tool-integrated reasoning (TIR) agents capable of auto…
Improving the Quality of Random Number Generators by Applying a Simple Ratio Transformation
Michael Kolonko, Zijun Wu, Feng Gu
It is well-known that the quality of random number generators can often be improved by combining several generators, e.g. by summing or subtracting their results. In this paper we…
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play
Wichayaporn Wongkamjan, Feng Gu, Yanze Wang +6
The boardgame Diplomacy is a challenging setting for communicative and cooperative artificial intelligence. The most prominent communicative Diplomacy AI, Cicero, has excellent str…
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
Pengbo Liu, Hu Han, Yuanqi Du +9
Purpose: Pelvic bone segmentation in CT has always been an essential step in clinical diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone segme…
Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design
Bin Zhu, Qianghuai Jia, Tian Lan +6
Deep research agents autonomously conduct open-ended investigations, integrating complex information retrieval with multi-step reasoning across diverse sources to solve real-world…
Observation of Structure Evolution and Reaction Intermediates at the Gate-tunable Suspended Graphene/Electrolyte Interface
Ying Xu, You-Bo Ma, Feng Gu +2
Graphene serves as an ideal platform to investigate the microscopic structure and reaction kinetics at the graphitic electrode interfaces. However, graphene is susceptible to vario…
Exploration Of The Dendritic Cell Algorithm Using The Duration Calculus
Feng Gu, Julie Greensmith, Uwe Aickelin
As one of the newest members in Artificial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been applied to a range of problems. These applications mainly belong to the…
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL
Wichayaporn Wongkamjan, Yanze Wang, Feng Gu +4
An increasingly common socio-technical problem is people being taken in by offers that sound ``too good to be true'', where persuasion and trust shape decision-making. This paper i…
Measurement of DC Magneto-Optical Kerr Effect with Sensitivity of
Junying Ma, Feng Gu, Ying Xu +4
A high-sensitive DC Magneto-Optical Kerr Effect (MOKE) apparatus is described in this letter. Via detailed analysis on several dominating noise sources, we have proposed solutions…
Robust Control of An Aerial Manipulator Based on A Variable Inertia Parameters Model
Guangyu Zhang, Yuqing He, Bo Dai +3
Aerial manipulator, which is composed of an UAV (Unmanned Aerial Vehicle) and a multi-link manipulator and can perform aerial manipulation, has shown great potential of application…
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images
Feng Gu, Nikolay Burlutskiy, Mats Andersson +1
Digital pathology provides an excellent opportunity for applying fully convolutional networks (FCNs) to tasks, such as semantic segmentation of whole slide images (WSIs). However,…
Observation of counterion binding in the inner Helmholtz layer at the ionic surfactant-water interface
Yuyang Peng, Feng Gu, Chuanshan Tian
Understanding specific ion adsorption within the inner Helmholtz layer remains central to electrochemistry yet experimentally elusive. Here we directly quantify counterion adsorpti…
Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators
Feng Gu, Zongxia Li, Carlos Rafael Colon +3
Event annotation is important for identifying market changes, monitoring breaking news, and understanding sociological trends. Although expert annotators set the gold standards, hu…
MindGPT-4ov: An Enhanced MLLM via a Multi-Stage Post-Training Paradigm
Wei Chen, Chaoqun Du, Feng Gu +14
We present MindGPT-4ov, a multimodal large language model (MLLM) that introduces a general post-training paradigm spanning data production, model training, and efficient deployment…
PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm
Feng Gu, Julie Greensmith, Robert Oates +1
As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs). Un…
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data
Feng Gu, Jie Lu, Zhen Fang +2
Uncertain changes in data streams present challenges for machine learning models to dynamically adapt and uphold performance in real-time. Particularly, classification boundary cha…
Theoretical formulation and analysis of the deterministic dendritic cell algorithm
Feng Gu, Julie Greensmith, Uwe Aickelin
As one of the emerging algorithms in the field of Artificial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been successfully applied to a number of challenging real-…
A Deep Learning Framework for Automatic Diagnosis in Lung Cancer
Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen +2
We developed a deep learning framework that helps to automatically identify and segment lung cancer areas in patients' tissue specimens. The study was based on a cohort of lung can…
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model
Dilxat Muhtar, Zhenshi Li, Feng Gu +2
The revolutionary capabilities of large language models (LLMs) have paved the way for multimodal large language models (MLLMs) and fostered diverse applications across various spec…
Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm
Feng Gu, Jan Feyereisl, Robert Oates +3
Theoretical analyses of the Dendritic Cell Algorithm (DCA) have yielded several criticisms about its underlying structure and operation. As a result, several alterations and fixes…
Principal specializations of Grothendieck polynomials
Haojun Bai, Feng Gu, Peter L. Guo +1
Motivated by Stanley's ``Schubert shenanigans'' paper, commendable attempts have been made to understand the principal specializations of Schubert or Grothendieck polynomials. In t…
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data
Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu +7
Gleason grading specified in ISUP 2014 is the clinical standard in staging prostate cancer and the most important part of the treatment decision. However, the grading is subjective…
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models
Dilxat Muhtar, Enzhuo Zhang, Zhenshi Li +4
Vision-Language Models (VLMs) have demonstrated great potential in interpreting remote sensing (RS) images through language-guided semantic. However, the effectiveness of these VLM…