Yuxuan Zhu

12 papers A* 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation.
CoRR
Kun Yang, Yuxuan Zhu, Yazhe Chen, Siyao Zheng, Bangyang Hong, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Hui Li
2026 J jnl
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs.
CoRR
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
2025 J jnl
A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems.
CoRR
Yuxuan Zhu, Cong Fu, Yabo Ni, Anxiang Zeng, Yuan Fang
2025 — conf
Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering.
KDD (2)
Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia
2025 J jnl
Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering.
CoRR
Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia
2025 J jnl
On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach.
Neural Networks
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
2025 J jnl
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System.
CoRR
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
2024 A* conf
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation.
ICML
Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato
2024 J jnl
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation.
CoRR
Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato
2024 A* conf
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples.
AAAI
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
2023 J jnl
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples.
CoRR
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
2022 J jnl
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach.
CoRR
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao