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Ziwei Zhu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

57

Venues

20

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

57 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIBias Association Discovery Framework for Open-Ended LLM Generations.Jinhao Pan, Chahat Raj, Ziwei Zhu
2026AAAIMaking Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification.Bowen Wei, Mehrdad Fazli, Ziwei Zhu
2026ACLInject to Heal: Alleviating hallucination in LVLMs via Context Embedding Injection.Mehrdad Fazli, Bowen Wei, Ziwei Zhu
2026ACLTalent or Luck? Evaluating Attribution Bias in Large Language Models.Chahat Raj, Mahika Banerjee, Jinhao Pan, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2026ACLVIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models.Chahat Raj, Bowen Wei, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2026WACVCAAC: Confidence-Aware Attention Calibration to Reduce Hallucinations in Large Vision-Language Models.Mehrdad Fazli, Bowen Wei, Ahmet Sari, Ziwei Zhu
2025ACLSpurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models.Fardin Ahsan Sakib, Ziwei Zhu, Karen Trister Grace, Meliha Yetisgen, zlem Uzuner
2025ACLProtoLens: Advancing Prototype Learning for Fine-Grained Interpretability in Text Classification.Bowen Wei, Ziwei Zhu
2025EMNLPToward Inclusive Language Models: Sparsity-Driven Calibration for Systematic and Interpretable Mitigation of Social Biases in LLMs.Prommy Sultana Hossain, Chahat Raj, Ziwei Zhu, Jessica Lin, Emanuela Marasco
2025EMNLPWhat's Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs.Jinhao Pan, Chahat Raj, Ziyu Yao, Ziwei Zhu
2025NAACLFighting Spurious Correlations in Text Classification via a Causal Learning Perspective.Yuqing Zhou, Ziwei Zhu
2025WACVCrossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models.Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos
2025WSDMCombating Heterogeneous Model Biases in Recommendations via Boosting.Jinhao Pan, James Caverlee, Ziwei Zhu
2024AIESBreaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis.Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2024ECIRFederated Conversational Recommender Systems.Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2024ECIRCountering Mainstream Bias via End-to-End Adaptive Local Learning.Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
2024ECIRSALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models.Chahat Raj, Anjishnu Mukherjee, Hemant Purohit, Antonios Anastasopoulos, Ziwei Zhu
2024EMNLPBiasDora: Exploring Hidden Biased Associations in Vision-Language Models.Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2024EMNLPNavigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models.Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu
2024IJCNNAnalyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation.Ajay Krishna Vajjala, Arun Krishna Vajjala, Ziwei Zhu, David S. Rosenblum
2024NAACLGlobal Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning.Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos
2024WWWBreaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning.Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu
2024SDMVietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation.Ajay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum
2023ACLPromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
2023AIESTrue and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning.Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu
2023CIKMA Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation.Yuqing Zhou, Tianshu Feng, Mingrui Liu, Ziwei Zhu
2023ECIREvolution of Filter Bubbles and Polarization in News Recommendation.Han Zhang, Ziwei Zhu, James Caverlee
2023EMNLPCo²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
2023EMNLPGlobal Voices, Local Biases: Socio-Cultural Prejudices across Languages.Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos
2023EMNLPUnsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model.Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
2023MobisysEMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services.Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari
2023MobisysDemo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services.Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari
2023WWWEnhancing User Personalization in Conversational Recommenders.Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2022CIKMQuantifying and Mitigating Popularity Bias in Conversational Recommender Systems.Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2022WWWEnd-to-End Learning for Fair Ranking Systems.James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
2022WSDMFighting Mainstream Bias in Recommender Systems via Local Fine Tuning.Ziwei Zhu, James Caverlee
2021AAAISavable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China.Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Hongmin Cai, Hanchun Wen
2021AISTATSTaming heavy-tailed features by shrinkage.Ziwei Zhu, Wenjing Zhou
2021KDDPopularity Bias in Dynamic Recommendation.Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
2021WWWRabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests.Xing Zhao, Ziwei Zhu, James Caverlee
2021SIGIRFairness among New Items in Cold Start Recommender Systems.Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton, James Caverlee
2021WSDMPopularity-Opportunity Bias in Collaborative Filtering.Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
2021SDMSession-based Recommendation with Hypergraph Attention Networks.Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
2020EMNLPInfusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020RecSysContent-Collaborative Disentanglement Representation Learning for Enhanced Recommendation.Yin Zhang, Ziwei Zhu, Yun He, James Caverlee
2020RecSysUnbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning.Ziwei Zhu, Yun He, Yin Zhang, James Caverlee
2020WWWAddressing the Target Customer Distortion Problem in Recommender Systems.Xing Zhao, Ziwei Zhu, Majid Alfifi, James Caverlee
2020SIGIRRecommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation.Ziwei Zhu, Shahin Sefati, Parsa Saadatpanah, James Caverlee
2020SIGIRMeasuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems.Ziwei Zhu, Jianling Wang, James Caverlee
2020WSDMKey Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee
2020WSDMUser Recommendation in Content Curation Platforms.Jianling Wang, Ziwei Zhu, James Caverlee
2020WSDMImproving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations.Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee
2019WWWImproving Top-K Recommendation via JointCollaborative Autoencoders.Ziwei Zhu, Jianling Wang, James Caverlee
2018CIKMFairness-Aware Tensor-Based Recommendation.Ziwei Zhu, Xia Hu, James Caverlee
2018ICDMPseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
2018InterspeechSiamese Recurrent Auto-Encoder Representation for Query-by-Example Spoken Term Detection.Ziwei Zhu, Zhiyong Wu, Runnan Li, Helen Meng, Lianhong Cai
2017BSNModeling and detecting student attention and interest level using wearable computers.Ziwei Zhu, Sebastian W. Ober, Roozbeh Jafari