Wei Liu

According to our database, Wei Liu authored at least 25 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Behavior-Aware Global-Enhanced Neural Modeling for Sequential Set Recommendation.

Zhiying Deng, Wei Liu, Jianjun Li, Zhiqiang Guo, Qian Chen, Juan Zhao

IEEE Trans. Artif. Intell., June, 2026

Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation.

Zhiying Deng, Yuan Fu, Usman Farooq, Ziwei Tian, Wei Liu, Jianjun Li

CoRR, May, 2026

From Backward Spreading to Forward Replay: Revisiting Target Construction in LLM Parameter Editing.

Wei Liu, Hongkai Liu, Zhiying Deng, Yee Whye Teh, Wee Sun Lee

CoRR, May, 2026

Are We Evaluating the Edit Locality of LLM Model Editing Properly?

Wei Liu, Haomei Xu, Hongkai Liu, Zhiying Deng, Ruixuan Li, Heng Huang, Yee Whye Teh, Wee Sun Lee

CoRR, January, 2026

2025

Unbiased Interest Modeling in Sequential Basket Analysis: Addressing Repetition Bias with Multi-Factor Estimation.

Zhiying Deng, Jianjun Li, Wei Liu, Juan Zhao

Trans. Recomm. Syst., December, 2025

Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization.

Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li

CoRR, October, 2025

Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation.

Wei Liu, Haomei Xu, Bingqing Liu, Zhiying Deng, Haozhao Wang, Jun Wang, Ruixuan Li, Yee Whye Teh, Wee Sun Lee

CoRR, October, 2025

Re-Fed+: A Better Replay Strategy for Federated Incremental Learning.

Yichen Li, Haozhao Wang, Yining Qi, Wei Liu, Ruixuan Li

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs.

Lang Gao, Kaiyang Wan, Wei Liu, Chenxi Wang, Zirui Song, Zixiang Xu, Yanbo Wang, Veselin Stoyanov, Xiuying Chen

CoRR, May, 2025

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables.

Xuzhao Geng, Haozhao Wang, Jun Wang, Wei Liu, Ruixuan Li

CoRR, February, 2025

Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization.

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Ruixuan Li

Trans. Assoc. Comput. Linguistics, 2025

Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information.

Cheng Wang, Wenchao Xu, Haozhao Wang, Wei Liu, Ruixuan Li

Proceedings of the ACM on Web Conference 2025, 2025

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets.

Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization.

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization.

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing the Rationale-Input Alignment for Self-explaining Rationalization.

Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PAGE: Parametric Generative Explainer for Graph Neural Network.

Yang Qiu, Wei Liu, Jun Wang, Ruixuan Li

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Adversarial Attack for Explanation Robustness of Rationalization Models.

Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Multi-scale Context-aware User Interest Learning for Behavior Pattern Modeling.

Zhiying Deng, Jianjun Li, Li Zou, Wei Liu, Si Shi, Qian Chen, Juan Zhao, Guohui Li

Proceedings of the Database Systems for Advanced Applications, 2024

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling.

Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-view Multi-aspect Neural Networks for Next-basket Recommendation.

Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li

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

D-Separation for Causal Self-Explanation.

Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint.

Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MGR: Multi-generator Based Rationalization.

Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

FR: Folded Rationalization with a Unified Encoder.

Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022