任鹏杰
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研究员
- 性别：男
- 所在单位：计算机科学与技术学院
- 入职时间： 2020-12-29
- 所属院系：
计算机科学与技术学院
访问量：
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[1]
张孟奇.
Uncovering Overfitting in Large Language Model Editing.
2025 International Conference on Learning Representations,
2025.
-
[2]
Shi, Chaoyu.
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers.
TOIS,
42,
2024.
-
[3]
张文浩.
ExcluIR: Exclusionary Neural Information Retrieval.
39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025,
39,
13295-13303,
2025.
-
[4]
王伟.
Privacy-Preserving Sequential Recommendation with Collaborative Confusion.
TOIS,
2,
2025.
-
[5]
韩子祯.
Development of a data-driven three-dimensional PM2.5 forecast model based on machine learning algorithms.
ENVIRONMENTAL TECHNOLOGY & INNOVATION,
37,
2025.
-
[6]
.
Knowledge Graph Enhanced Large Language Model Editing.
The 2024 Conference on Empirical Methods in Natural Language Processing,
2024.
-
[7]
.
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics,
2024.
-
[8]
吴世广.
Generative Retrieval as Multi-Vector Dense Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
2024.
-
[9]
.
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
2023.
-
[10]
石超宇.
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers.
TOIS,
2024.
-
[11]
刘中坤.
Center-retained fine-tuning for conversational question ranking center identification.
INFORMATION PROCESSING & MANAGEMENT,
2024.
-
[12]
邓文韬.
Syllogistic Reasoning for Legal Judgment Analysis.
2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023,
13997-14009,
2023.
-
[13]
马沐阳.
Improving Transformer-based Sequential Recommenders through Preference Editing.
TOIS,
41,
2023.
-
[14]
林于杰.
A Self-Correcting Sequential Recommender.
2023 World Wide Web Conference, WWW 2023,
1283-1293,
2023.
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[15]
邓文韬.
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues.
TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS,
11,
1232,
2023.
-
[16]
刘中坤.
Center-retained fine-tuning for conversational question ranking through unsupervised center identification.
Information Processing & Management,
61,
2024.
-
[17]
马沐阳.
Mixed Information Flow for Cross-Domain Sequential Recommendations.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,
16,
2022.
-
[18]
杨纪元.
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
WSDM‘23,
2024.
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[19]
.
On the Effectiveness of Unlearning in Session-Based Recommendation.
WSDM'23,
2024.
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[20]
.
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
SIGIR,
2023.
