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ORCIDYuxuan Zhu 0001
Person information
- affiliation: Guangdong University of Technology, School of Computer Science, Guangzhou, China
Other persons with the same name
- Yuxuan Zhu — disambiguation page
- Yuxuan Zhu 0002
![[0000-0003-0418-265X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-0418-265X")
— Tsinghua University, Department of Automation, Beijing, China - Yuxuan Zhu 0003 — University of Illinois Urbana-Champaign, Urbana, IL, USA
- Yuxuan Zhu 0004 — Rensselaer Polytechnic Institute, Department of Computer Science, Troy, NY, USA
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Journal Articles
- 2025
[j1]Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao:
On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach. Neural Networks 184: 107065 (2025)
Conference and Workshop Papers
- 2025
- [c3]Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia:
Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering. KDD (2) 2025: 3921-3932 - 2024
- [c2]Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI 2024: 11132-11140 - [c1]Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato:
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. ICML 2024: 6486-6502
Informal and Other Publications
- 2026
- [i8]Yu Liang, Zhongjin Zhang, Yuxuan Zhu, Kerui Zhang, Zhiluohan Guo, Wenhang Zhou, Zonqi Yang, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Jianxin Wang, Jiazhi Xia:
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs. CoRR abs/2602.02338 (2026) - [i7]Kun Yang, Yuxuan Zhu, Yazhe Chen, Siyao Zheng, Bangyang Hong, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Hui Li:
ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation. CoRR abs/2602.20093 (2026) - 2025
- [i6]Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia:
Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering. CoRR abs/2505.20900 (2025) - [i5]Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng:
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System. CoRR abs/2509.18091 (2025) - [i4]Yuxuan Zhu, Cong Fu, Yabo Ni, Anxiang Zeng, Yuan Fang:
A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems. CoRR abs/2511.21032 (2025) - 2024
- [i3]Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato:
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. CoRR abs/2402.08845 (2024) - 2023
- [i2]Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR abs/2312.13628 (2023) - 2022
- [i1]Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao:
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR abs/2212.07056 (2022)
Coauthor Index
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