Jiancan Wu

Orcid: 0000-0002-6941-5218

According to our database1, Jiancan Wu authored at least 44 papers between 2020 and 2024.

Collaborative distances:

Timeline

2020
2021
2022
2023
2024
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Bibliography

2024
How graph convolutions amplify popularity bias for recommendation?
Frontiers Comput. Sci., October, 2024

On the Effectiveness of Sampled Softmax Loss for Item Recommendation.
ACM Trans. Inf. Syst., July, 2024

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning.
ACM Trans. Knowl. Discov. Data, June, 2024

Graph Contrastive Learning With Negative Propagation for Recommendation.
IEEE Trans. Comput. Soc. Syst., June, 2024

Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation.
IEEE Trans. Multim., 2024

Position-aware Graph Transformer for Recommendation.
CoRR, 2024

Unified Parameter-Efficient Unlearning for LLMs.
CoRR, 2024

Large Language Models Empower Personalized Valuation in Auction.
CoRR, 2024

RosePO: Aligning LLM-based Recommenders with Human Values.
CoRR, 2024

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs.
CoRR, 2024

Text-guided Diffusion Model for 3D Molecule Generation.
CoRR, 2024

Customizing Language Models with Instance-wise LoRA for Sequential Recommendation.
CoRR, 2024

Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization.
CoRR, 2024

Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number.
CoRR, 2024

Reinforced Prompt Personalization for Recommendation with Large Language Models.
CoRR, 2024

β-DPO: Direct Preference Optimization with Dynamic β.
CoRR, 2024

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization.
CoRR, 2024

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

LLaRA: Large Language-Recommendation Assistant.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

BSL: Understanding and Improving Softmax Loss for Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Masked Graph Modeling with Multi- View Contrast.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
LLaRA: Aligning Large Language Models with Sequential Recommenders.
CoRR, 2023

Large Language Model Can Interpret Latent Space of Sequential Recommender.
CoRR, 2023

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation.
CoRR, 2023

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.
CoRR, 2023

Recommendation Unlearning via Influence Function.
CoRR, 2023

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation.
CoRR, 2023

GIF: A General Graph Unlearning Strategy via Influence Function.
Proceedings of the ACM Web Conference 2023, 2023

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding Contrastive Learning via Distributionally Robust Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Graph convolution machine for context-aware recommender system.
Frontiers Comput. Sci., 2022

Adversarial Causal Augmentation for Graph Covariate Shift.
CoRR, 2022

On the Effectiveness of Sampled Softmax Loss for Item Recommendation.
CoRR, 2022

Cross Pairwise Ranking for Unbiased Item Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Causal Attention for Interpretable and Generalizable Graph Classification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Deconfounded Training for Graph Neural Networks.
CoRR, 2021

Self-supervised Graph Learning for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Graph Convolution Machine for Context-aware Recommender System.
CoRR, 2020


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