Disentangled Contrastive Learning for Social Recommendation. - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qing Li 001; Ke Tang 001 (CIKM, 2022)

Multi-Domain Learning from Insufficient Annotations. - Rui He; Shengcai Liu; Jiahao Wu 004; Shan He 001; Ke Tang 001 (ECAI, 2023)

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. - Qijiong Liu; Jieming Zhu; Jiahao Wu 004; Tiandeng Wu; Zhenhua Dong; Xiao-Ming Wu 003 (WWW, 2023)

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. - Jiahao Wu 004; Wenqi Fan; Shengcai Liu; Qijiong Liu; Qing Li 001; Ke Tang 001 (CoRR, 2023)

Dataset Condensation for Recommendation. - Jiahao Wu 004; Wenqi Fan; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (CoRR, 2023)

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. - Jiahao Wu 004; Qijiong Liu; Hengchang Hu; Wenqi Fan; Shengcai Liu; Qing Li 001; Xiao-Ming Wu 003; Ke Tang 001 (CoRR, 2023)

Discrete Semantic Tokenization for Deep CTR Prediction. - Qijiong Liu; Hengchang Hu; Jiahao Wu 004; Jieming Zhu; Min-Yen Kan; Xiao-Ming Wu 003 (WWW (Companion Volume), 2024)

Backdoor Graph Condensation. - Jiahao Wu 004; Ning Lu 006; Zeiyu Dai; Wenqi Fan; Shengcai Liu; Qing Li 001; Ke Tang 001 (CoRR, 2024)

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (ICDE, 2025)

Backdoor Graph Condensation. - Jiahao Wu 004; Ning Lu 006; Zeyu Dai 001; Kun Wang 056; Wenqi Fan; Shengcai Liu; Qing Li 001; Ke Tang 001 (ICDE, 2025)

Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. - Jiahao Wu 004; Qijiong Liu; Hengchang Hu; Wenqi Fan; Shengcai Liu; Qing Li 001; Xiao-Ming Wu 003; Ke Tang 001 (WWW (Companion Volume), 2025)

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (IEEE Trans. Knowl. Data Eng., 2025)

OneForecast: A Universal Framework for Global and Regional Weather Forecasting. - Yuan Gao; Hao Wu 094; Ruiqi Shu; Huanshuo Dong; Fan Xu 009; Rui Chen; Yibo Yan; Qingsong Wen; Xuming Hu; Kun Wang 056; Jiahao Wu 004; Qing Li 001; et al. (CoRR, 2025)

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models. - Zeyu Dai 001; Shengcai Liu; Rui He; Jiahao Wu 004; Ning Lu 006; Wenqi Fan; Qing Li 001; Ke Tang 001 (CoRR, 2025)

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. - Ning Lu 006; Shengcai Liu; Jiahao Wu 004; Weiyu Chen; Zhirui Zhang; Yew-Soon Ong; Qi Wang; Ke Tang 001 (CoRR, 2025)

LLM-Driven Instance-Specific Heuristic Generation and Selection. - Shaofeng Zhang; Shengcai Liu; Ning Lu 006; Jiahao Wu 004; Ji Liu; Yew-Soon Ong; Ke Tang 001 (CoRR, 2025)