12 citations · 41 across the 27 of their papers we have counts for
31 papers
ReAl: Refine neural operators via aligning dynamical flow
Jing Xu, Zenglin Xu, Li Yi +2
Neural partial differential equation (PDE) surrogates trained with mean squared error (MSE) can capture dominant dynamics but often lose high-frequency information and fine-scale s…
Graph Neural Networks for Influence Maximization in Social Networks: An Unsupervised Minimum Dominating Set Approach
Erfan Ahmadi, Mina Shirazi, Behnam Bahrak
The Minimum Dominating Set (MDS) problem is a classic NP-hard combinatorial optimization problem with critical applications in social network analysis, including viral marketing, i…
PERCEPT: A Corpus for POS Tagging and Analysis of Persian-English Code-Mixing
Ghazal Kalhor, Zahra Jafari, Amirarsalan Shahbazi +1
Social media has become a major venue for multilingual communication, where users frequently mix multiple languages within a single utterance. Although code-mixed corpora have been…
TopRank-Based Delivery Rate Optimization for Coded Caching under Non-Uniform Demands
Mohammadsaber Bahadori, Seyed Pooya Shariatpanahi, Behnam Bahrak
We study the problem of coded caching with nonuniform file popularity under the setting where the popularity distribution is initially unknown. By reframing the problem, we propose…
MasalBench: A Benchmark for Contextual and Cross-Cultural Understanding of Persian Proverbs in LLMs
Ghazal Kalhor, Behnam Bahrak
In recent years, multilingual Large Language Models (LLMs) have become an inseparable part of daily life, making it crucial for them to master the rules of conversational language…
Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian
Ghazal Kalhor, Behnam Bahrak
Multilingual Large Language Models (LLMs) are increasingly used worldwide, making it essential to ensure they are free from gender bias to prevent representational harm. While prio…
Understanding Trends, Patterns, and Dynamics in Global Company Acquisitions: A Network Perspective
Ghazal Kalhor, Behnam Bahrak
Studying acquisitions offers invaluable insights into startup trends, aiding informed investment decisions for businesses. However, the scarcity of studies in this domain prompts o…
Analysis of Research Trends in Computer Science: A Network Approach
Ghazal Kalhor, Behnam Bahrak
Nowadays, computer science (CS) has emerged as a dominant force in numerous research areas both within and beyond its own discipline. However, despite its significant impact on sch…
Forecasting Success of Computer Science Professors and Students Based on Their Academic and Personal Backgrounds
Ghazal Kalhor, Behnam Bahrak
After completing their undergraduate studies, many computer science (CS) students apply for competitive graduate programs in North America. Their long-term goal is often to be hire…
A Social Network Approach to Analyzing Token Properties and Abnormal Events in Decentralized Exchanges
Aryan Soltani Mohammadi, Moein Karami, Amir Pasha Motamed +1
The properties of tokens within the Ethereum blockchain, such as their current prices, trade volumes, and potential future values, have been the subjects of numerous studies. Emplo…
Mixing Solutions in Bitcoin and Ethereum Ecosystems: A Review and Tutorial
Alireza Arbabi, Ardeshir Shojaeinasab, Behnam Bahrak +1
This manuscript presents an exhaustive review of blockchain-based mixing services, aiming to fill the existing gap between academic innovations and real-world implementations. Star…
A Large-Scale Analysis of Persian Tweets Regarding Covid-19 Vaccination
Taha ShabaniMirzaei, Houmaan Chamani, Amirhossein Abaskohi +2
The Covid-19 pandemic had an enormous effect on our lives, especially on people's interactions. By introducing Covid-19 vaccines, both positive and negative opinions were raised ov…
Diversity dilemmas: uncovering gender and nationality biases in graduate admissions across top North American computer science programs
Ghazal Kalhor, Tanin Zeraati, Behnam Bahrak
Although different organizations have defined policies towards diversity in academia, many argue that minorities are still disadvantaged in university admissions due to biases. Ext…
Modeling Effective Lifespan of Payment Channels
Soheil Zibakhsh Shabgahi, Seyed Mahdi Hosseini, Seyed Pooya Shariatpanahi +1
While being decentralized, secure, and reliable, Bitcoin and many other blockchain-based cryptocurrencies suffer from scalability issues. One of the promising proposals to address…
RPoA: Redefined Proof of Activity
Sina Kamali, Shayan Shabihi, Mohammad Taha Fakharian +4
The consensus protocol is the core of a blockchain system which guarantees its secure and stable operation. Proof of Activity (PoA) is a consensus protocol that tries to address so…
Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches
Amirhossein Abaskohi, Nazanin Sabri, Behnam Bahrak
Emotion recognition is one of the machine learning applications which can be done using text, speech, or image data gathered from social media spaces. Detecting emotion can help us…
Approach to Alleviate Wealth Compounding in Proof-of-Stake Cryptocurrencies
Zahra Naderi, Seyed Pooya Shariatpanahi, Behnam Bahrak
Due to its minimal energy requirement the PoS consensus protocol has become an attractive alternative to PoW in modern cryptocurrencies. In this protocol the chance of being select…
Mixing detection on Bitcoin transactions using statistical patterns
Ardeshir Shojaeenasab, Amir Pasha Motamed, Behnam Bahrak
Cryptocurrencies gained lots of attention mainly because of the anonymous way of online payment, which they suggested. Meanwhile, Bitcoin and other major cryptocurrencies have expe…
UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation
Amirhossein Abaskohi, Arash Rasouli, Tanin Zeraati +1
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents…
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models
Alireza Salemi, Nazanin Sabri, Emad Kebriaei +2
Detecting which parts of a sentence contribute to that sentence's toxicity -- rather than providing a sentence-level verdict of hatefulness -- would increase the interpretability o…
Sentiment Analysis of Persian-English Code-mixed Texts
Nazanin Sabri, Ali Edalat, Behnam Bahrak
The rapid production of data on the internet and the need to understand how users are feeling from a business and research perspective has prompted the creation of numerous automat…
Investigating the effects of Goodreads challenges on individuals reading habits
Yasaman Jafari, Nazanin Sabri, Behnam Bahrak
Sharing our goals with others and setting public challenges for ourselves is a topic that has been the center of many discussions. This study examines reading challenges, how parti…
Bet and Attack: Incentive Compatible Collaborative Attacks Using Smart Contracts
Z. Motaqy, G. Almashaqbeh, B. Bahrak +1
Smart contract-enabled blockchains allow building decentralized applications in which mutually-distrusted parties can work together. Recently, oracle services emerged to provide th…
Hybrid Model for Anomaly Detection on Call Detail Records by Time Series Forecasting
Aryan Mokhtari, Leyla Sadighi, Behnam Bahrak +1
Mobile network operators store an enormous amount of information like log files that describe various events and users' activities. Analysis of these logs might be used in many cri…