Ziheng Chen

Orcid: 0000-0002-2585-637X

Affiliations:

Walmart Global Tech, New York, NY, USA
Stony Brook University, Department of Applied Mathematics and Statistics, Stony Brook, NY, USA (PhD 2022)

According to our database¹, Ziheng Chen authored at least 20 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Joint Factual and Counterfactual Explanations for Top-k GNN-based Recommendations.

[BibT_eX]

[DOI]

Trans. Recomm. Syst., June, 2026

CRAB: Codebook Rebalancing for Bias Mitigation in Generative Recommendation.

[BibT_eX]

[DOI]

CoRR, April, 2026

CURE:Circuit-Aware Unlearning for LLM-based Recommendation.

[BibT_eX]

[DOI]

CoRR, April, 2026

Toward Understanding Unlearning Difficulty: A Mechanistic Perspective and Circuit-Guided Difficulty Metric.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

FROG: Fair Removal on Graphs.

[BibT_eX]

[DOI]

CoRR, March, 2025

IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Prompt-Tuning for Recommendation Unlearning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

FROG: Fair Removal on Graph.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

FUTURE: Flexible Unlearning for Tree Ensemble.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., April, 2024

Debiasing Machine Unlearning with Counterfactual Examples.

[BibT_eX]

[DOI]

Ziheng Chen

Jia Wang

Jun Zhuang

Abbavaram Gowtham Reddy

CoRR, 2024

2023

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.

[BibT_eX]

[DOI]

CoRR, 2022

Harnessing semantic segmentation masks for accurate facial attribute editing.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2022

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models.

[BibT_eX]

[DOI]

CoRR, 2021

Costly Features Classification using Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Item Response Theory Based Ensemble in Machine Learning.

[BibT_eX]

[DOI]

Ziheng Chen

Hongshik Ahn

Int. J. Autom. Comput., 2020

BDARS_CapsNet: Bi-Directional Attention Routing Sausage Capsule Network.

[BibT_eX]

[DOI]

IEEE Access, 2020

Ziheng Chen

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