Jiahao Wu

According to our database, Jiahao Wu authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

LLM-Driven Instance-Specific Heuristic Generation and Selection.

Shaofeng Zhang, Shengcai Liu, Ning Lu, Jiahao Wu, Ji Liu, Yew-Soon Ong, Ke Tang

CoRR, June, 2025

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets.

Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang

CoRR, May, 2025

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models.

Zeyu Dai, Shengcai Liu, Rui He, Jiahao Wu, Ning Lu, Wenqi Fan, Qing Li, Ke Tang

CoRR, April, 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting.

Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang

CoRR, February, 2025

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation.

Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang

IEEE Trans. Knowl. Data Eng., January, 2025

Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation.

Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Backdoor Graph Condensation.

Jiahao Wu, Ning Lu, Zeyu Dai, Kun Wang, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract).

Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Backdoor Graph Condensation.

Jiahao Wu, Ning Lu, Zeiyu Dai, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang

CoRR, 2024

Discrete Semantic Tokenization for Deep CTR Prediction.

Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.

Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang

CoRR, 2023

Dataset Condensation for Recommendation.

Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang

CoRR, 2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling.

Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang

CoRR, 2023

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.

Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu

Proceedings of the ACM Web Conference 2023, 2023

Multi-Domain Learning from Insufficient Annotations.

Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Disentangled Contrastive Learning for Social Recommendation.

Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022