Shaina Raza - RankMe

112 papers A 1B 5Journal 89Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comprehensive review of recommender systems: Transitioning from theory to practice. Comput. Sci. Rev. Shaina Raza, Mizanur Rahman, Safiullah Kamawal, Armin Toroghi, Ananya Raval, Farshad Navah, Amirmohammad Kazemeini
2026	J	`jnl`	From Features to Actions: Explainability in Traditional and Agentic AI Systems. CoRR Sindhuja Chaduvula, Jessee Ho, Kina Kim, Aravind Narayanan, Mahshid Alinoori, Muskan Garg, Dhanesh Ramachandram, Shaina Raza
2026	J	`jnl`	Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning. CoRR Sindhuja Chaduvula, Ahmed Y. Radwan, Azib Farooq, Yani Ioannou, Shaina Raza
2026	J	`jnl`	Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives. ACM Comput. Surv. Emrul Hasan, Mizanur Rahman, Chen Ding, Jimmy Xiangji Huang, Shaina Raza
2026	J	`jnl`	SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding. CoRR Ahmed Y. Radwan, Christos Emmanouilidis, Hina Tabassum, Deval Pandya, Shaina Raza
2026	J	`jnl`	Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives. CoRR Shaina Raza, Iuliia Eyriay, Ahmed Y. Radwan, Nathaniel Lesperance, Deval Pandya, Sedef Akinli Koçak, Graham W. Taylor
2026	J	`jnl`	TRiSM for Agentic AI: A review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems. AI Open Shaina Raza, Ranjan Sapkota, Manoj Karkee, Christos Emmanouilidis
2026	J	`jnl`	VLDBench Evaluating multimodal disinformation with regulatory alignment. Inf. Fusion Shaina Raza, Ashmal Vayani, Aditya Jain, Aravind Narayanan, Vahid Reza Khazaie, Syed Raza Bashir, Elham Dolatabadi, Gias Uddin, Christos Emmanouilidis, Rizwan Qureshi, Mubarak Shah
2025	J	`jnl`	Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition. CoRR Juan Andres Medina Florez, Shaina Raza, Rashida Lynn, Zahra Shakeri, Brendan T. Smith, Elham Dolatabadi
2025	—	`conf`	Beyond Content: How Grammatical Gender Shapes Visual Representation in Text-to-Image Models. EMNLP (Findings) Muhammed Saeed, Shaina Raza, Ashmal Vayani, Muhammad Abdul-Mageed, Ali Emami, Shady Shehata
2025	J	`jnl`	Beyond Content: How Grammatical Gender Shapes Visual Representation in Text-to-Image Models. CoRR Muhammed Saeed, Shaina Raza, Ashmal Vayani, Muhammad Abdul-Mageed, Ali Emami, Shady Shehata
2025	J	`jnl`	Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment. CoRR Aravind Narayanan, Vahid Reza Khazaie, Shaina Raza
2025	J	`jnl`	Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models. CoRR Ranjan Sapkota, Shaina Raza, Manoj Karkee
2025	J	`jnl`	Developing safe and responsible large language model: can we balance bias reduction and language understanding? Mach. Learn. Shaina Raza, Oluwanifemi Bamgbose, Shardul Ghuge, Fatemeh Tavakoli, Deepak John Reji, Syed Raza Bashir
2025	B	`conf`	Development and Evaluation of an Agentic RAG with Embedded LLM-as-a Judge for Heart Failure Management: A Pilot Study. IEEE Big Data Broderick Bellard, Xinyi Celine Liu, Raima Lohani, Shaina Raza, Pedro Elkind Velmovitsky, Quynh Pham, Shumit Saha
2025	J	`jnl`	EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta. CoRR Raymond Bernard, Shaina Raza, Subhabrata Das, Rahul Murugan
2025	J	`jnl`	FairSense-AI: Responsible AI Meets Sustainability. CoRR Shaina Raza, Mukund Sayeeganesh Chettiar, Matin Yousefabadi, Tahniat Khan, Marcelo Lotif
2025	J	`jnl`	FairUDT: Fairness-aware Uplift Decision Trees. CoRR Anam Zahid, Abdur Rehman, Shaina Raza, Rai Shahnawaz, Faisal Kamiran, Asim Karim
2025	J	`jnl`	FairUDT: Fairness-aware Uplift Decision Trees. Knowl. Based Syst. Anam Zahid, Abdur Rehman Ali, Shaina Raza, Rai Shahnawaz, Faisal Kamiran, Asim Karim
2025	J	`jnl`	Fake news detection: comparative evaluation of BERT-like models and large language models with generative AI-annotated data. Knowl. Inf. Syst. Shaina Raza, Drai Paulen-Patterson, Chen Ding
2025	J	`jnl`	HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation. CoRR Shaina Raza, Aravind Narayanan, Vahid Reza Khazaie, Ashmal Vayani, Mukund S. Chettiar, Amandeep Singh, Mubarak Shah, Deval Pandya
2025	J	`jnl`	Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A Survey. CoRR Ranjan Sapkota, Shaina Raza, Maged Shoman, Paudel Achyut, Manoj Karkee
2025	J	`jnl`	Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods. CoRR Shaina Raza, Rizwan Qureshi, Marcelo Lotif, Aman Chadha, Deval Pandya, Christos Emmanouilidis
2025	J	`jnl`	LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation. CoRR Ananya Raval, Aravind Narayanan, Vahid Reza Khazaie, Shaina Raza
2025	—	`conf`	Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights. CAI Tahniat Khan, Soroor Motie, Sedef Akinli Koçak, Shaina Raza
2025	J	`jnl`	Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights. CoRR Tahniat Khan, Soroor Motie, Sedef Akinli Koçak, Shaina Raza
2025	J	`jnl`	Perceived Confidence Scoring for Data Annotation with Zero-Shot LLMs. CoRR Sina Salimian, Gias Uddin, Most Husne Jahan, Shaina Raza
2025	—	`conf`	Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care. ICML (Position Papers) Abeer Badawi, Md. Tahmid Rahman Laskar, Jimmy Huang, Shaina Raza, Elham Dolatabadi
2025	J	`jnl`	Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care. CoRR Abeer Badawi, Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang, Shaina Raza, Elham Dolatabadi
2025	J	`jnl`	Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations. CoRR Shaina Raza, Maximus Powers, Partha Pratim Saha, Mahveen Raza, Rizwan Qureshi
2025	J	`jnl`	RESPECT: A framework for promoting inclusive and respectful conversations in online communications. Nat. Lang. Process. J. Shaina Raza, Abdullah Yahya Mohammed Muaad, Emrul Hasan, Muskan Garg, Zainab Al-Zanbouri, Syed Raza Bashir
2025	J	`jnl`	TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems. CoRR Shaina Raza, Ranjan Sapkota, Manoj Karkee, Christos Emmanouilidis
2025	J	`jnl`	The Rise of Small Language Models in Healthcare: A Comprehensive Survey. CoRR Muskan Garg, Shaina Raza, Shebuti Rayana, Xingyi Liu, Sunghwan Sohn
2025	J	`jnl`	Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact. CoRR Rizwan Qureshi, Ranjan Sapkota, Abbas Shah, Amgad Muneer, Anas Zafar, Ashmal Vayani, Maged Shoman, Abdelrahman B. M. Eldaly, Kai Zhang, Ferhat Sadak, Shaina Raza, Xinqi Fan, Ravid Shwartz-Ziv, Hong Yan, Vinjia Jain, Aman Chadha, Manoj Karkee, Jia Wu, Seyedali Mirjalili
2025	J	`jnl`	VLDBench: Vision Language Models Disinformation Detection Benchmark. CoRR Shaina Raza, Ashmal Vayani, Aditya Jain, Aravind Narayanan, Vahid Reza Khazaie, Syed Raza Bashir, Elham Dolatabadi, Gias Uddin, Christos Emmanouilidis, Rizwan Qureshi, Mubarak Shah
2025	J	`jnl`	Who is Responsible? The Data, Models, Users or Regulations? Responsible Generative AI for a Sustainable Future. CoRR Shaina Raza, Rizwan Qureshi, Anam Zahid, Joseph Fioresi, Ferhat Sadak, Muhammad Saeed, Ranjan Sapkota, Aditya Jain, Anas Zafar, Muneeb Ul Hassan, Aizan Zafar, Hasan Maqbool, Ashmal Vayani, Jia Wu, Maged Shoman
2024	J	`jnl`	A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice. CoRR Shaina Raza, Mizanur Rahman, Safiullah Kamawal, Armin Toroghi, Ananya Raval, Farshad Navah, Amirmohammad Kazemeini
2024	J	`jnl`	A deep neural network approach for fake news detection using linguistic and psychological features. User Model. User Adapt. Interact. Keshopan Arunthavachelvan, Shaina Raza, Chen Ding
2024	J	`jnl`	An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation. Int. J. Intell. Syst. Abdullah Yahya Mohammed Muaad, Shaina Raza, Md Belal Bin Heyat, Amerah A. Alabrah, Hanumanthappa J
2024	J	`jnl`	BEADs: Bias Evaluation Across Domains. CoRR Shaina Raza, Mizanur Rahman, Michael R. Zhang
2024	J	`jnl`	Bias Reduction News Recommendation System. Digit. Shaina Raza
2024	—	`conf`	Dataset Annotation and Model Building for Identifying Biases in News Narratives. Text2Story@ECIR Shaina Raza, Mizanur Rahman, Shardul Ghuge
2024	J	`jnl`	Dbias: detecting biases and ensuring fairness in news articles. Int. J. Data Sci. Anal. Shaina Raza, Deepak John Reji, Chen Ding
2024	J	`jnl`	Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs. CoRR Muhammed Saeed, Elgizouli Mohamed, Mukhtar Mohamed, Shaina Raza, Shady Shehata, Muhammad Abdul-Mageed
2024	J	`jnl`	Developing Safe and Responsible Large Language Models - A Comprehensive Framework. CoRR Shaina Raza, Oluwanifemi Bamgbose, Shardul Ghuge, Fatemeh Tavakoli, Deepak John Reji
2024	—	`conf`	Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions. ICHI Zainab Al-Zanbouri, Gauri Sharma, Shaina Raza
2024	J	`jnl`	Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions. CoRR Zainab Al-Zanbouri, Gauri Sharma, Shaina Raza
2024	J	`jnl`	Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. IEEE Access Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya
2024	J	`jnl`	Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. CoRR Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya
2024	J	`jnl`	FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? Data Intell. Shaina Raza, Shardul Ghuge, Chen Ding, Elham Dolatabadi, Deval Pandya
2024	J	`jnl`	FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training? CoRR Shaina Raza, Shardul Ghuge, Chen Ding, Deval Pandya
2024	J	`jnl`	Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths? CoRR Veronica Chatrath, Marcelo Lotif, Shaina Raza
2024	J	`jnl`	Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data. CoRR Shaina Raza, Drai Paulen-Patterson, Chen Ding
2024	J	`jnl`	FakeWatch 👁: a framework for detecting fake news to ensure credible elections. Soc. Netw. Anal. Min. Shaina Raza, Tahniat Khan, Veronica Chatrath, Drai Paulen-Patterson, Mizanur Rahman, Oluwanifemi Bamgbose
2024	J	`jnl`	FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections. CoRR Shaina Raza, Tahniat Khan, Drai Paulen-Patterson, Veronica Chatrath, Mizanur Rahman, Oluwanifemi Bamgbose
2024	J	`jnl`	HarmonyNet: Navigating hate speech detection. Nat. Lang. Process. J. Shaina Raza, Veronica Chatrath
2024	J	`jnl`	Improving Clinical Decision Making With a Two-Stage Recommender System. IEEE ACM Trans. Comput. Biol. Bioinform. Shaina Raza, Chen Ding
2024	—	`conf`	MBIAS: Mitigating Bias in Large Language Models While Retaining Context. WASSA Shaina Raza, Ananya Raval, Veronica Chatrath
2024	J	`jnl`	MBIAS: Mitigating Bias in Large Language Models While Retaining Context. CoRR Shaina Raza, Ananya Raval, Veronica Chatrath
2024	J	`jnl`	MultiWD: Multi-label wellness dimensions in social media posts. J. Biomed. Informatics Muskan Garg, Xingyi Liu, MSVPJ Sathvik, Shaina Raza, Sunghwan Sohn
2024	J	`jnl`	Nbias: A natural language processing framework for BIAS identification in text. Expert Syst. Appl. Shaina Raza, Muskan Garg, Deepak John Reji, Syed Raza Bashir, Chen Ding
2024	J	`jnl`	PL-NCC: a novel approach for fake news detection through data augmentation. Soc. Netw. Anal. Min. Keshopan Arunthavachelvan, Shaina Raza, Chen (Cherie) Ding, Emrul Hasan
2024	J	`jnl`	Practical Guide for Causal Pathways and Sub-group Disparity Analysis. CoRR Farnaz Kohankhaki, Shaina Raza, Oluwanifemi Bamgbose, Deval Pandya, Elham Dolatabadi
2024	J	`jnl`	Progress in Privacy Protection: A Review of Privacy Preserving Techniques in Recommender Systems, Edge Computing, and Cloud Computing. CoRR Syed Raza Bashir, Shaina Raza, Vojislav B. Misic
2024	A	`conf`	Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text. ICWSM Muskan Garg, MSVPJ Sathvik, Shaina Raza, Amrit Chadha, Sunghwan Sohn
2024	J	`jnl`	Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text. CoRR Muskan Garg, MSVPJ Sathvik, Amrit Chadha, Shaina Raza, Sunghwan Sohn
2024	J	`jnl`	Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives. CoRR Emrul Hasan, Mizanur Rahman, Chen Ding, Jimmy Xiangji Huang, Shaina Raza
2024	J	`jnl`	Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis. IEEE Trans. Comput. Soc. Syst. Shaina Raza, Oluwanifemi Bamgbose, Veronica Chatrath, Shardul Ghuge, Yan Sidyakin, Abdullah Yahya Mohammed Muaad
2024	J	`jnl`	ViLBias: A Framework for Bias Detection using Linguistic and Visual Cues. CoRR Shaina Raza, Caesar Saleh, Emrul Hasan, Franklin Ogidi, Maximus Powers, Veronica Chatrath, Marcelo Lotif, Roya Javadi, Anam Zahid, Vahid Reza Khazaie
2023	—	`conf`	Addressing Biases in the Texts Using an End-to-End Pipeline Approach. BIAS Shaina Raza, Syed Raza Bashir, Sneha, Urooj Qamar
2023	J	`jnl`	Addressing Biases in the Texts using an End-to-End Pipeline Approach. CoRR Shaina Raza, Syed Raza Bashir, Sneha, Urooj Qamar
2023	J	`jnl`	Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time. CoRR Shaina Raza, Mizanur Rahman, Shardul Ghuge
2023	J	`jnl`	Arabic text detection: a survey of recent progress challenges and opportunities. Appl. Intell. Abdullah Yahya Mohammed Muaad, Shaina Raza, Usman Naseem, Hanumanthappa J. Jayappa Davanagere
2023	—	`conf`	Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes. ICHI Shaina Raza, Syed Raza Bashir
2023	J	`jnl`	Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes. CoRR Shaina Raza
2023	J	`jnl`	BERT4Loc: BERT for Location - POI Recommender System. Future Internet Syed Raza Bashir, Shaina Raza, Vojislav B. Misic
2023	—	`conf`	Connecting Fairness in Machine Learning with Public Health Equity. ICHI Shaina Raza
2023	J	`jnl`	Connecting Fairness in Machine Learning with Public Health Equity. CoRR Shaina Raza
2023	J	`jnl`	Design-Inclusive Language Models for Responsible Information Access. CoRR Veronica Chatrath, Oluwanifemi Bamgbose, Shaina Raza
2023	J	`jnl`	Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach. BMC Medical Informatics Decis. Mak. Shaina Raza, Brian Schwartz
2023	J	`jnl`	Fairness in Machine Learning meets with Equity in Healthcare. CoRR Shaina Raza, Parisa Osivand Pour, Syed Raza Bashir
2023	J	`jnl`	FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections. CoRR Tahniat Khan, Mizanur Rahman, Veronica Chatrath, Oluwanifemi Bamgbose, Shaina Raza
2023	—	`conf`	Leveraging Foundation Models for Clinical Text Analysis. ICHI Shaina Raza, Syed Raza Bashir
2023	J	`jnl`	Leveraging Foundation Models for Clinical Text Analysis. CoRR Shaina Raza, Syed Raza Bashir
2023	J	`jnl`	Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts. CoRR Shaina Raza, Chen Ding, Deval Pandya
2023	J	`jnl`	NBIAS: A Natural Language Processing Framework for Bias Identification in Text. CoRR Shaina Raza, Muskan Garg, Deepak John Reji, Syed Raza Bashir, Chen Ding
2023	J	`jnl`	Navigating News Narratives: A Media Bias Analysis Dataset. CoRR Shaina Raza
2023	B	`conf`	PLNCC: Leveraging New Data Features for Enhanced Accuracy of Fake News Detection. ASONAM Keshopan Arunthavachelvan, Shaina Raza, Chen Ding
2023	J	`jnl`	Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis. CoRR Shaina Raza, Oluwanifemi Bamgbose, Veronica Chatrath, Shardul Ghuge, Yan Sidyakin, Abdullah Yahya Mohammed Muaad
2022	J	`jnl`	A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities. CoRR Shaina Raza, Brian Schwartz
2022	J	`jnl`	A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture. CoRR Shaina Raza
2022	B	`conf`	A Question-Answering System on COVID-19 Scientific Literature. COMPSAC Shaina Raza, Brian Schwartz, Nancy Ondrusek
2022	J	`jnl`	A Summary of COVID-19 Datasets. CoRR Shaina Raza, Syed Raza Bashir, Vidhi Thakkar, Usman Naseem
2022	B	`conf`	Accuracy meets Diversity in a News Recommender System. COLING Shaina Raza, Syed Raza Bashir, Usman Naseem
2022	J	`jnl`	An Approach to Ensure Fairness in News Articles. CoRR Shaina Raza, Deepak John Reji, Dora D. Liu, Syed Raza Bashir, Usman Naseem
2022	J	`jnl`	CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice. BMC Bioinform. Shaina Raza, Brian Schwartz, Laura C. Rosella
2022	J	`jnl`	Dbias: Detecting biases and ensuring Fairness in news articles. CoRR Shaina Raza, Deepak John Reji, Chen Ding
2022	—	`conf`	Detecting Biomedical Named Entities in COVID-19 Texts. Healthcare AI and COVID-19 Workshop Shaina Raza, Brian Schwartz
2022	J	`jnl`	Fake news detection based on news content and social contexts: a transformer-based approach. Int. J. Data Sci. Anal. Shaina Raza, Chen Ding
2022	B	`conf`	Incorporating Accuracy and Diversity in a News Recommender System. DSAA Shaina Raza, Syed Raza Bashir, Usman Naseem, Dora D. Liu, Deepak John Reji
2022	—	`conf`	Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation. BioNLP@ACL Usman Naseem, Ajay Bandi, Shaina Raza, Junaid Rashid, Bharathi Raja Chakravarthi
2022	J	`jnl`	Mitigating health disparities in hospital readmissions. CoRR Shaina Raza
2022	J	`jnl`	News recommender system: a review of recent progress, challenges, and opportunities. Artif. Intell. Rev. Shaina Raza, Chen Ding
2022	—	`conf`	Relevancy and Diversity in News Recommendations. INRA/IWILDS@SIGIR Shaina Raza, Chen Ding
2021	J	`jnl`	A News Recommender System Considering Temporal Dynamics and Diversity. CoRR Shaina Raza
2021	—	`conf`	Balanced News Neural Network for a News Recommender System. ICDM (Workshops) Shaina Raza, Syed Raza Bashir, Dora D. Liu, Usman Naseem
2021	J	`jnl`	Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System. CoRR Shaina Raza, Chen Ding
2021	—	`conf`	Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System. IEEE BigData Shaina Raza, Chen Ding
2020	—	`conf`	A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System. IEEE BigData Shaina Raza, Chen Ding
2020	J	`jnl`	A survey on news recommender system - Dealing with timeliness, dynamic user interest and content quality, and effects of recommendation on news readers. CoRR Shaina Raza, Chen Ding
2019	—	`conf`	News Recommender System Considering Temporal Dynamics and News Taxonomy. IEEE BigData Shaina Raza, Chen Ding
2019	J	`jnl`	Progress in context-aware recommender systems - An overview. Comput. Sci. Rev. Shaina Raza, Chen Ding