Modeling and detecting student attention and interest level using wearable computers. - Ziwei Zhu 001; Sebastian W. Ober; Roozbeh Jafari (BSN, 2017)

Fairness-Aware Tensor-Based Recommendation. - Ziwei Zhu 001; Xia Hu 001; James Caverlee (CIKM, 2018)

Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. - Yun He 001; Haochen Chen; Ziwei Zhu 001; James Caverlee (ICDM, 2018)

Fairness-Aware Recommendation of Information Curators. - Ziwei Zhu 001; Jianling Wang; Yin Zhang 011; James Caverlee (CoRR, 2018)

Improving Top-K Recommendation via JointCollaborative Autoencoders. - Ziwei Zhu 001; Jianling Wang; James Caverlee (WWW, 2019)

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. - Yun He 001; Ziwei Zhu 001; Yin Zhang 011; Qin Chen 001; James Caverlee (EMNLP (1), 2020)

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. - Yin Zhang 011; Ziwei Zhu 001; Yun He 001; James Caverlee (RecSys, 2020)

Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. - Ziwei Zhu 001; Yun He 001; Yin Zhang 011; James Caverlee (RecSys, 2020)

Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. - Ziwei Zhu 001; Shahin Sefati; Parsa Saadatpanah; James Caverlee (SIGIR, 2020)

Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. - Ziwei Zhu 001; Jianling Wang; James Caverlee (SIGIR, 2020)

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. - Jianling Wang; Kaize Ding; Ziwei Zhu 001; Yin Zhang 011; James Caverlee (WSDM, 2020)

User Recommendation in Content Curation Platforms. - Jianling Wang; Ziwei Zhu 001; James Caverlee (WSDM, 2020)

Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. - Xing Zhao 003; Ziwei Zhu 001; Yin Zhang 011; James Caverlee (WSDM, 2020)

Addressing the Target Customer Distortion Problem in Recommender Systems. - Xing Zhao 003; Ziwei Zhu 001; Majid Alfifi; James Caverlee (WWW, 2020)

Popularity Bias in Dynamic Recommendation. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; James Caverlee (KDD, 2021)

Session-based Recommendation with Hypergraph Attention Networks. - Jianling Wang; Kaize Ding; Ziwei Zhu 001; James Caverlee (SDM, 2021)

Fairness among New Items in Cold Start Recommender Systems. - Ziwei Zhu 001; Jingu Kim; Trung Nguyen; Aish Fenton; James Caverlee (SIGIR, 2021)

Popularity-Opportunity Bias in Collaborative Filtering. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; Yin Zhang 011; Jianling Wang; James Caverlee (WSDM, 2021)

Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. - Xing Zhao 003; Ziwei Zhu 001; James Caverlee (WWW, 2021)

Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. - Ziwei Zhu 001; Jianling Wang; James Caverlee (CoRR, 2021)

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. - Allen Lin; Jianling Wang; Ziwei Zhu 001; James Caverlee (CIKM, 2022)

Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning. - Ziwei Zhu 001; James Caverlee (WSDM, 2022)

End-to-End Learning for Fair Ranking Systems. - James Kotary; Ferdinando Fioretto; Pascal Van Hentenryck; Ziwei Zhu 001 (WWW, 2022)

Evolution of Popularity Bias: Empirical Study and Debiasing. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; James Caverlee (CoRR, 2022)

Towards Fair Conversational Recommender Systems. - Allen Lin; Ziwei Zhu 001; Jianling Wang; James Caverlee (CoRR, 2022)

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. - Xiangjue Dong; Yun He 001; Ziwei Zhu 001; James Caverlee (ACL (Findings), 2023)

True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning. - Chahat Raj; Anjishnu Mukherjee; Ziwei Zhu 001 (AIES, 2023)

A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation. - Yuqing Zhou; Tianshu Feng; Mingrui Liu; Ziwei Zhu 001 (CIKM, 2023)

Evolution of Filter Bubbles and Polarization in News Recommendation. - Han Zhang; Ziwei Zhu 001; James Caverlee (ECIR (2), 2023)

Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. - Xiangjue Dong; Ziwei Zhu 001; Zhuoer Wang; Maria Teleki; James Caverlee (EMNLP (Findings), 2023)

Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. - Anjishnu Mukherjee; Chahat Raj; Ziwei Zhu 001; Antonios Anastasopoulos (EMNLP, 2023)

Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. - Zhuoer Wang; Yicheng Wang; Ziwei Zhu 001; James Caverlee (EMNLP (Findings), 2023)

EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. - Liuyi Jin; Tian Liu 006; Amran Haroon; Radu Stoleru; Michael Middleton; Ziwei Zhu 001; Theodora Chaspari (MobiSys, 2023)

Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. - Liuyi Jin; Tian Liu 006; Amran Haroon; Radu Stoleru; Michael Middleton; Ziwei Zhu 001; Theodora Chaspari (MobiSys, 2023)

Enhancing User Personalization in Conversational Recommenders. - Allen Lin; Ziwei Zhu 001; Jianling Wang; James Caverlee (WWW, 2023)

Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. - Xiangjue Dong; Ziwei Zhu 001; Zhuoer Wang; Maria Teleki; James Caverlee (CoRR, 2023)

Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. - Zheyuan Liu 010; Guangyao Dou; Yijun Tian 001; Chunhui Zhang; Eli Chien; Ziwei Zhu 001 (CoRR, 2023)

Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. - Chahat Raj; Anjishnu Mukherjee; Aylin Caliskan; Antonios Anastasopoulos; Ziwei Zhu 001 (AIES (1), 2024)

ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System. - Rahul Pandey; Ziwei Zhu 001; Hemant Purohit (IEEE Big Data, 2024)

Federated Conversational Recommender Systems. - Allen Lin; Jianling Wang; Ziwei Zhu 001; James Caverlee (ECIR (5), 2024)

Countering Mainstream Bias via End-to-End Adaptive Local Learning. - Jinhao Pan; Ziwei Zhu 001; Jianling Wang; Allen Lin; James Caverlee (ECIR (5), 2024)

SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models. - Chahat Raj; Anjishnu Mukherjee; Hemant Purohit; Antonios Anastasopoulos; Ziwei Zhu 001 (ECIR (5), 2024)

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. - Chahat Raj; Anjishnu Mukherjee; Aylin Caliskan; Antonios Anastasopoulos; Ziwei Zhu 001 (EMNLP (Findings), 2024)

Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. - Yuqing Zhou; Ruixiang Tang; Ziyu Yao 002; Ziwei Zhu 001 (EMNLP (Findings), 2024)

Analyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation. - Ajay Krishna Vajjala; Arun Krishna Vajjala; Ziwei Zhu 001; David S. Rosenblum (IJCNN, 2024)

Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. - Anjishnu Mukherjee; Aylin Caliskan; Ziwei Zhu 001; Antonios Anastasopoulos (NAACL-HLT, 2024)

Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation. - Ajay Krishna Vajjala; Dipak Falgun Meher; Shrunal Pothagoni; Ziwei Zhu 001; David S. Rosenblum (SDM, 2024)

Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. - Zheyuan Liu 010; Guangyao Dou; Eli Chien; Chunhui Zhang; Yijun Tian 001; Ziwei Zhu 001 (WWW, 2024)

Towards Robust Text Classification: Mitigating Spurious Correlations with Causal Learning. - Yuqing Zhou; Ziwei Zhu 001 (CoRR, 2024)

Cross-Domain Recommendation Meets Large Language Models. - Ajay Krishna Vajjala; Dipak Falgun Meher; Ziwei Zhu 001; David S. Rosenblum (CoRR, 2024)

Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective. - Yuqing Zhou; Ziwei Zhu 001 (NAACL (Long Papers), 2025)

Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models. - Anjishnu Mukherjee; Ziwei Zhu 001; Antonios Anastasopoulos (WACV, 2025)

Combating Heterogeneous Model Biases in Recommendations via Boosting. - Jinhao Pan; James Caverlee; Ziwei Zhu 001 (WSDM, 2025)

Beneath the Surface: How Large Language Models Reflect Hidden Bias. - Jinhao Pan; Chahat Raj; Ziyu Yao 002; Ziwei Zhu 001 (CoRR, 2025)

Federated Conversational Recommender System. - Allen Lin; Jianling Wang; Ziwei Zhu 001; James Caverlee (CoRR, 2025)

Measuring South Asian Biases in Large Language Models. - Mamnuya Rinki; Chahat Raj; Anjishnu Mukherjee; Ziwei Zhu 001 (CoRR, 2025)

VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models. - Chahat Raj; Bowen Wei; Aylin Caliskan; Antonios Anastasopoulos; Ziwei Zhu 001 (CoRR, 2025)

Talent or Luck? Evaluating Attribution Bias in Large Language Models. - Chahat Raj; Mahika Banerjee; Aylin Caliskan; Antonios Anastasopoulos; Ziwei Zhu 001 (CoRR, 2025)

Discovering Bias Associations through Open-Ended LLM Generations. - Jinhao Pan; Chahat Raj; Ziwei Zhu 001 (CoRR, 2025)