Ziheng Chen

23 papers A* 2A 3B 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Joint Factual and Counterfactual Explanations for Top-k GNN-based Recommendations.
Trans. Recomm. Syst.
Ziheng Chen, Jin Huang, Fabrizio Silvestri, Yongfeng Zhang, Hongshik Ahn, Gabriele Tolomei
2026 — ed.
Proceedings of the Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2025) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), Padova, Italy, July 17, 2025.
IR-RAG@SIGIR
Negar Arabzadeh, Ziheng Chen, Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
2026 J jnl
Toward Understanding Unlearning Difficulty: A Mechanistic Perspective and Circuit-Guided Difficulty Metric.
CoRR
Jiali Cheng, Ziheng Chen, Chirag Agarwal, Hadi Amiri
2025 A conf
FROG: Fair Removal on Graph.
CIKM
Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun
2025 J jnl
FROG: Fair Removal on Graphs.
CoRR
Ziheng Chen, Jiali Cheng, Gabriele Tolomei, Sijia Liu, Hadi Amiri, Yu Wang, Kaushiki Nag, Lu Lin
2025 A conf
FUTURE: Flexible Unlearning for Tree Ensemble.
CIKM
Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri
2025 J jnl
FUTURE: Flexible Unlearning for Tree Ensemble.
CoRR
Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri
2025 A* conf
IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems.
SIGIR
Negar Arabzadeh, Ziheng Chen, Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
2025 — conf
Prompt-Tuning for Recommendation Unlearning.
CAI
Jin Huang, Zezhong Fan, Lalitesh Morishetti, Yuchan Guo, Kaushiki Nag, Hongshik Ahn, Ziheng Chen, Gabriele Tolomei
2024 J jnl
Debiasing Machine Unlearning with Counterfactual Examples.
CoRR
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
2024 J jnl
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent.
IEEE Trans. Artif. Intell.
Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn
2023 A* conf
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.
SIGIR
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
2023 J jnl
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.
CoRR
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
2022 J jnl
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.
CoRR
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei
2022 J jnl
Harnessing semantic segmentation masks for accurate facial attribute editing.
Concurr. Comput. Pract. Exp.
Peng Chen, Qi Xiao, Jian Xu, Xiaoli Dong, Linjun Sun, Weijun Li, Xin Ning, Guojun Wang, Ziheng Chen
2022 A conf
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models.
CIKM
Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei
2021 B conf
Costly Features Classification using Monte Carlo Tree Search.
IJCNN
Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning
2021 J jnl
Costly Features Classification using Monte Carlo Tree Search.
CoRR
Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning
2021 — conf
DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery.
ACSCC
Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao
2021 J jnl
ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models.
CoRR
Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn
2020 J jnl
BDARS_CapsNet: Bi-Directional Attention Routing Sausage Capsule Network.
IEEE Access
Xin Ning, Weijuan Tian, Weijun Li, Yueyue Lu, Shuai Nie, Linjun Sun, Ziheng Chen
2020 J jnl
Item Response Theory Based Ensemble in Machine Learning.
Int. J. Autom. Comput.
Ziheng Chen, Hongshik Ahn
2019 J jnl
Item Response Theory based Ensemble in Machine Learning.
CoRR
Ziheng Chen, Hongshik Ahn