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ORCIDZiwei Zhu 0001
Person information
- unicode name: 竺子崴
- affiliation: George Mason University, Fairfax, VA, USA
- affiliation (PhD): Texas A&M University, College Station, TX, USA
Other persons with the same name
- Ziwei Zhu — disambiguation page
- Ziwei Zhu 0002
![[0000-0001-7972-9336]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7972-9336")
— Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China (and 1 more) - Ziwei Zhu 0003 — Tsinghua University, Graduate School at Shenzhen, Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies and Systems, China
- Ziwei Zhu 0004 — Central South University, School of Geosciences and Info-Physics, Changsha, China
- Ziwei Zhu 0005 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- Ziwei Zhu 0006 — Nanchang University, School of Information Engineering, China
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2020 – today
- 2024
[c40]Chahat Raj, Anjishnu Mukherjee, Hemant Purohit, Antonios Anastasopoulos, Ziwei Zhu:
SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models. ECIR (5) 2024: 35-49- [c39]Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Federated Conversational Recommender Systems. ECIR (5) 2024: 50-65 - [c38]Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee:
Countering Mainstream Bias via End-to-End Adaptive Local Learning. ECIR (5) 2024: 75-89 - [c37]Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu:
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. EMNLP (Findings) 2024: 2586-2614 - [c36]Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu:
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. EMNLP (Findings) 2024: 10439-10455 - [c35]Ajay Krishna Vajjala, Arun Krishna Vajjala, Ziwei Zhu, David S. Rosenblum:
Analyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation. IJCNN 2024: 1-8 - [c34]Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos:
Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. NAACL-HLT 2024: 6398-6415 - [c33]Ajay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum:
Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation. SDM 2024: 761-769 - [c32]Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu:
Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. WWW 2024: 1260-1271 - [i21]Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee:
Countering Mainstream Bias via End-to-End Adaptive Local Learning. CoRR abs/2404.08887 (2024) - [i20]Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu:
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. CoRR abs/2407.02030 (2024) - [i19]Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu:
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. CoRR abs/2407.02066 (2024) - [i18]Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos:
Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models. CoRR abs/2407.02067 (2024) - [i17]Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu:
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. CoRR abs/2409.17455 (2024) - 2023
- [c31]Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee:
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. ACL (Findings) 2023: 10651-10666 - [c30]Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu:
True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning. AIES 2023: 962-963 - [c29]Yuqing Zhou, Tianshu Feng, Mingrui Liu, Ziwei Zhu:
A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation. CIKM 2023: 3554-3563 - [c28]Han Zhang, Ziwei Zhu, James Caverlee:
Evolution of Filter Bubbles and Polarization in News Recommendation. ECIR (2) 2023: 685-693 - [c27]Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee:
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. EMNLP (Findings) 2023: 5712-5723 - [c26]Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee:
Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. EMNLP (Findings) 2023: 5859-5871 - [c25]Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos:
Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. EMNLP 2023: 15828-15845 - [c24]Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari:
EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. MobiSys 2023: 275-288 - [c23]Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari:
Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. MobiSys 2023: 596-597 - [c22]Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee:
Enhancing User Personalization in Conversational Recommenders. WWW 2023: 770-778 - [i16]Han Zhang, Ziwei Zhu, James Caverlee:
Evolution of Filter Bubbles and Polarization in News Recommendation. CoRR abs/2301.10926 (2023) - [i15]Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee:
Enhancing User Personalization in Conversational Recommenders. CoRR abs/2302.06656 (2023) - [i14]Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee:
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. CoRR abs/2306.04535 (2023) - [i13]Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee:
Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. CoRR abs/2310.12490 (2023) - [i12]Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee:
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. CoRR abs/2310.13106 (2023) - [i11]Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos:
Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. CoRR abs/2310.17586 (2023) - [i10]Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu:
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. CoRR abs/2310.18574 (2023) - 2022
- [c21]Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CIKM 2022: 1238-1247 - [c20]Ziwei Zhu, James Caverlee:
Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning. WSDM 2022: 1497-1506 - [c19]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu:
End-to-End Learning for Fair Ranking Systems. WWW 2022: 3520-3530 - [i9]Ziwei Zhu, Yun He, Xing Zhao, James Caverlee:
Evolution of Popularity Bias: Empirical Study and Debiasing. CoRR abs/2207.03372 (2022) - [i8]Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CoRR abs/2208.03298 (2022) - [i7]Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee:
Towards Fair Conversational Recommender Systems. CoRR abs/2208.03854 (2022) - 2021
- [c18]Ziwei Zhu, Yun He, Xing Zhao, James Caverlee:
Popularity Bias in Dynamic Recommendation. KDD 2021: 2439-2449 - [c17]Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee:
Session-based Recommendation with Hypergraph Attention Networks. SDM 2021: 82-90 - [c16]Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton, James Caverlee:
Fairness among New Items in Cold Start Recommender Systems. SIGIR 2021: 767-776 - [c15]Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee:
Popularity-Opportunity Bias in Collaborative Filtering. WSDM 2021: 85-93 - [c14]Xing Zhao, Ziwei Zhu, James Caverlee:
Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. WWW 2021: 888-899 - [i6]Ziwei Zhu, Jianling Wang, James Caverlee:
Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. CoRR abs/2103.07849 (2021) - [i5]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu:
End-to-end Learning for Fair Ranking Systems. CoRR abs/2111.10723 (2021) - [i4]Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee:
Session-based Recommendation with Hypergraph Attention Networks. CoRR abs/2112.14266 (2021) - 2020
- [c13]Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee:
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. EMNLP (1) 2020: 4604-4614 - [c12]Yin Zhang, Ziwei Zhu, Yun He, James Caverlee:
Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. RecSys 2020: 43-52 - [c11]Ziwei Zhu, Yun He, Yin Zhang, James Caverlee:
Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. RecSys 2020: 551-556 - [c10]Ziwei Zhu, Jianling Wang, James Caverlee:
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR 2020: 449-458 - [c9]Ziwei Zhu, Shahin Sefati, Parsa Saadatpanah, James Caverlee:
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. SIGIR 2020: 1121-1130 - [c8]Jianling Wang, Ziwei Zhu, James Caverlee:
User Recommendation in Content Curation Platforms. WSDM 2020: 627-635 - [c7]Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee:
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. WSDM 2020: 636-644 - [c6]Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee:
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. WSDM 2020: 762-770 - [c5]Xing Zhao, Ziwei Zhu, Majid Alfifi, James Caverlee:
Addressing the Target Customer Distortion Problem in Recommender Systems. WWW 2020: 2969-2975 - [i3]Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee:
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. CoRR abs/2010.03746 (2020)
2010 – 2019
- 2019
- [c4]Ziwei Zhu, Jianling Wang, James Caverlee:
Improving Top-K Recommendation via JointCollaborative Autoencoders. WWW 2019: 3483-3482 - [i2]Yun He, Haochen Chen, Ziwei Zhu, James Caverlee:
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. CoRR abs/1901.00597 (2019) - 2018
- [c3]Ziwei Zhu, Xia Hu, James Caverlee:
Fairness-Aware Tensor-Based Recommendation. CIKM 2018: 1153-1162 - [c2]Yun He, Haochen Chen, Ziwei Zhu, James Caverlee:
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. ICDM 2018: 1025-1030 - [i1]Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee:
Fairness-Aware Recommendation of Information Curators. CoRR abs/1809.03040 (2018) - 2017
- [c1]Ziwei Zhu, Sebastian W. Ober, Roozbeh Jafari:
Modeling and detecting student attention and interest level using wearable computers. BSN 2017: 13-18
Coauthor Index
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