Donghan Yu

According to our database, Donghan Yu authored at least 28 papers between 2017 and 2025.

Collaborative distances:

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

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, June, 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, Dongdong Chen, Jun-Kun Chen, Weizhu Chen, Yen-Chun Chen, Yi-ling Chen, Qi Dai, Xiyang Dai, Ruchao Fan, Mei Gao, Min Gao, Amit Garg, Abhishek Goswami, Junheng Hao, Amr Hendy, Yuxuan Hu, Xin Jin, Mahmoud Khademi, Dongwoo Kim, Young Jin Kim, Gina Lee, Jinyu Li, Yunsheng Li, Chen Liang, Xihui Lin, Zeqi Lin, Mengchen Liu, Yang Liu, Gilsinia Lopez, Chong Luo, Piyush Madan, Vadim Mazalov, Arindam Mitra, Ali Mousavi, Anh Nguyen, Jing Pan, Daniel Perez-Becker, Jacob Platin, Thomas Portet, Kai Qiu, Bo Ren, Liliang Ren, Sambuddha Roy, Ning Shang, Yelong Shen, Saksham Singhal, Subhojit Som, Xia Song, Tetyana Sych, Praneetha Vaddamanu, Shuohang Wang, Yiming Wang, Zhenghao Wang, Haibin Wu, Haoran Xu, Weijian Xu, Yifan Yang, Ziyi Yang, Donghan Yu, Ishmam Zabir, Jianwen Zhang, Li Lyna Zhang, Yunan Zhang, Xiren Zhou

CoRR, March, 2025

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.

Shenao Zhang, Donghan Yu, Hiteshi Sharma, Han Zhong, Zhihan Liu, Ziyi Yang, Shuohang Wang, Hany Hassan Awadalla, Zhaoran Wang

Trans. Mach. Learn. Res., 2025

2024

Multi-LoRA Composition for Image Generation.

Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen

Trans. Mach. Learn. Res., 2024

Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning.

Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin G. Jamieson, Simon Shaolei Du, Yelong Shen

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

CoRR, 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, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp A. Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou

CoRR, 2024

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation.

Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Leveraging Textual Semantics for Knowledge Graph Acquisition and Application

Donghan Yu

PhD thesis, 2023

Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion.

Donghan Yu, Yiming Yang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.

Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering.

Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce.

Chen Gao, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin, Depeng Jin, Yong Li

IEEE Trans. Knowl. Data Eng., 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

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.

Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Dict-BERT: Enhancing Language Model Pre-training with Dictionary.

Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

JAKET: Joint Pre-training of Knowledge Graph and Language Understanding.

Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multi-Site User Behavior Modeling and Its Application in Video Recommendation.

Huan Yan, Chunfeng Yang, Donghan Yu, Yong Li, Depeng Jin, Dah Ming Chiu

IEEE Trans. Knowl. Data Eng., 2021

Improving Hyper-Relational Knowledge Graph Completion.

Donghan Yu, Yiming Yang

CoRR, 2021

Knowledge Embedding Based Graph Convolutional Network.

Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Generalized Multi-Relational Graph Convolution Network.

Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu

CoRR, 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

Graph-Revised Convolutional Network.

Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Correlation-Aware Change-Point Detection via Graph Neural Networks.

Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Learning Relation Entailment with Structured and Textual Information.

Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2017

Smartphone App Usage Prediction Using Points of Interest.

Donghan Yu, Yong Li, Fengli Xu, Pengyu Zhang, Vassilis Kostakos

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Multi-site User Behavior Modeling and Its Application in Video Recommendation.

Chunfeng Yang, Huan Yan, Donghan Yu, Yong Li, Dah Ming Chiu

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017