Multi-site User Behavior Modeling and Its Application in Video Recommendation. - Chunfeng Yang; Huan Yan; Donghan Yu; Yong Li 008; Dah Ming Chiu (SIGIR, 2017)

Smartphone App Usage Prediction Using Points of Interest. - Donghan Yu; Yong Li 008; Fengli Xu; Pengyu Zhang; Vassilis Kostakos (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Learning Relation Entailment with Structured and Textual Information. - Zhengbao Jiang; Jun Araki; Donghan Yu; Ruohong Zhang; Wei Xu 004; Yiming Yang; Graham Neubig (AKBC, 2020)

Correlation-Aware Change-Point Detection via Graph Neural Networks. - Ruohong Zhang; Yu Hao; Donghan Yu; Wei-Cheng Chang; Guokun Lai; Yiming Yang (ICONIP (3), 2020)

Graph-Revised Convolutional Network. - Donghan Yu; Ruohong Zhang; Zhengbao Jiang; Yuexin Wu; Yiming Yang (ECML/PKDD (3), 2020)

Explainable Unsupervised Change-point Detection via Graph Neural Networks. - Ruohong Zhang; Yu Hao; Donghan Yu; Wei-Cheng Chang; Guokun Lai; Yiming Yang (CoRR, 2020)

Generalized Multi-Relational Graph Convolution Network. - Donghan Yu; Yiming Yang; Ruohong Zhang; Yuexin Wu (CoRR, 2020)

Knowledge Embedding Based Graph Convolutional Network. - Donghan Yu; Yiming Yang; Ruohong Zhang; Yuexin Wu (WWW, 2021)

Improving Hyper-Relational Knowledge Graph Completion. - Donghan Yu; Yiming Yang (CoRR, 2021)

Multi-Site User Behavior Modeling and Its Application in Video Recommendation. - Huan Yan; Chunfeng Yang; Donghan Yu; Yong Li 008; Depeng Jin; Dah Ming Chiu (IEEE Trans. Knowl. Data Eng., 2021)

JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. - Donghan Yu; Chenguang Zhu 001; Yiming Yang; Michael Zeng 001 (AAAI, 2022)

Dict-BERT: Enhancing Language Model Pre-training with Dictionary. - Wenhao Yu 002; Chenguang Zhu 001; Yuwei Fang; Donghan Yu; Shuohang Wang; Yichong Xu; Michael Zeng 001; Meng Jiang 001 (ACL (Findings), 2022)

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. - Donghan Yu; Chenguang Zhu 001; Yuwei Fang; Wenhao Yu 002; Shuohang Wang; Yichong Xu; Xiang Ren 001; Yiming Yang; Michael Zeng 001 (ACL (1), 2022)

Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions. - Ruohong Zhang; Yau-Shian Wang; Yiming Yang; Donghan Yu; Tom Vu; Likun Lei (CoRR, 2022)

Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. - Chen Gao 001; Chao Huang; Donghan Yu; Haohao Fu; Tzu-Heng Lin; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2022)

Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. - Ruohong Zhang; Yau-Shian Wang; Yiming Yang; Donghan Yu; Tom Vu; Likun Lei (EACL (Findings), 2023)

CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. - Donghan Yu; Yu Gu 016; Chenyan Xiong; Yiming Yang (EMNLP (Findings), 2023)

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. - Donghan Yu; Sheng Zhang 029; Patrick Ng; Henghui Zhu; Alexander Hanbo Li; Jun Wang 122; Yiqun Hu; William Yang Wang; Zhiguo Wang; Bing Xiang (ICLR, 2023)

Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. - Donghan Yu; Yiming Yang (SIGIR, 2023)

Leveraging Textual Semantics for Knowledge Graph Acquisition and Application - Donghan Yu (2023)

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. - Siru Ouyang; Shuohang Wang; Minhao Jiang; Ming Zhong 005; Donghan Yu; Jiawei Han 001; Yelong Shen (EMNLP (Findings), 2024)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. - Shenao Zhang; Donghan Yu; Hiteshi Sharma; Ziyi Yang; Shuohang Wang; Hany Hassan; Zhaoran Wang 001 (CoRR, 2024)

Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. - Yifang Chen 001; Shuohang Wang; Ziyi Yang; Hiteshi Sharma; Nikos Karampatziakis; Donghan Yu; Kevin G. Jamieson; Simon Shaolei Du; Yelong Shen (CoRR, 2024)

Multi-LoRA Composition for Image Generation. - Ming Zhong 005; Yelong Shen; Shuohang Wang; Yadong Lu; Yizhu Jiao; Siru Ouyang; Donghan Yu; Jiawei Han 001; Weizhu Chen (Trans. Mach. Learn. Res., 2024)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. - Shenao Zhang; Donghan Yu; Hiteshi Sharma; Han Zhong 001; Zhihan Liu; Ziyi Yang; Shuohang Wang; Hany Hassan Awadalla; Zhaoran Wang 001 (Trans. Mach. Learn. Res., 2025)

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. - Abdelrahman Abouelenin; Atabak Ashfaq; Adam Atkinson; Hany Awadalla; Nguyen Bach; Jianmin Bao; Alon Benhaim; Martin Cai; Vishrav Chaudhary; Congcong Chen; Dong Chen 003; Dongdong Chen 001; et al. (CoRR, 2025)

Haptic Rapidly-Exploring Random Trees: A Sampling-based Planner for Quasi-static Manipulation Tasks. - Lin Yang; Huu-Thiet Nguyen; Donghan Yu; Chen Lv; Domenico Campolo (CoRR, 2025)