Donghan Yu

37 papers A* 5Journal 23Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Controlling Performance and Budget of a Centralized Multi-agent LLM System with Reinforcement Learning.
CoRR
Bowen Jin, TJ Collins, Donghan Yu, Mert Cemri, Shenao Zhang, Mengyu Li, Jay Tang, Tian Qin, Zhiyang Xu, Jiarui Lu, Guoli Yin, Jiawei Han, Zirui Wang
2025 J jnl
Haptic Rapidly-Exploring Random Trees: A Sampling-based Planner for Quasi-static Manipulation Tasks.
CoRR
Lin Yang, Huu-Thiet Nguyen, Donghan Yu, Chen Lv, Domenico Campolo
2025 J jnl
Learning to Reason as Action Abstractions with Scalable Mid-Training RL.
CoRR
Shenao Zhang, Donghan Yu, Yihao Feng, Bowen Jin, Zhaoran Wang, John Peebles, Zirui Wang
2025 J jnl
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.
CoRR
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
2025 J jnl
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.
Trans. Mach. Learn. Res.
Shenao Zhang, Donghan Yu, Hiteshi Sharma, Han Zhong, Zhihan Liu, Ziyi Yang, Shuohang Wang, Hany Hassan Awadalla, Zhaoran Wang
2024 J jnl
Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning.
CoRR
Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin Jamieson, Simon Shaolei Du, Yelong Shen
2024 J jnl
Multi-LoRA Composition for Image Generation.
CoRR
Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen
2024 J jnl
Multi-LoRA Composition for Image Generation.
Trans. Mach. Learn. Res.
Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen
2024 J jnl
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.
CoRR
Shenao Zhang, Donghan Yu, Hiteshi Sharma, Ziyi Yang, Shuohang Wang, Hany Hassan, Zhaoran Wang
2024 — conf
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation.
EMNLP (Findings)
Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen
2024 J jnl
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation.
CoRR
Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen
2023 — conf
CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering.
EMNLP (Findings)
Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang
2023 A* conf
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
ICLR
Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang
2023 — —
Leveraging Textual Semantics for Knowledge Graph Acquisition and Application
Donghan Yu
2023 — conf
Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions.
EACL (Findings)
Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei
2023 A* conf
Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion.
SIGIR
Donghan Yu, Yiming Yang
2022 J jnl
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
CoRR
Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang
2022 — conf
Dict-BERT: Enhancing Language Model Pre-training with Dictionary.
ACL (Findings)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
2022 J jnl
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce.
IEEE Trans. Knowl. Data Eng.
Chen Gao, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin, Depeng Jin, Yong Li
2022 A* conf
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding.
AAAI
Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
2022 — conf
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.
ACL (1)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2022 J jnl
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions.
CoRR
Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei
2021 J jnl
Dict-BERT: Enhancing Language Model Pre-training with Dictionary.
CoRR
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
2021 J jnl
Improving Hyper-Relational Knowledge Graph Completion.
CoRR
Donghan Yu, Yiming Yang
2021 J jnl
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.
CoRR
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2021 A* conf
Knowledge Embedding Based Graph Convolutional Network.
WWW
Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
2021 J jnl
Multi-Site User Behavior Modeling and Its Application in Video Recommendation.
IEEE Trans. Knowl. Data Eng.
Huan Yan, Chunfeng Yang, Donghan Yu, Yong Li, Depeng Jin, Dah Ming Chiu
2020 — conf
Correlation-Aware Change-Point Detection via Graph Neural Networks.
ICONIP (3)
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
2020 J jnl
Explainable Unsupervised Change-point Detection via Graph Neural Networks.
CoRR
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
2020 J jnl
Generalized Multi-Relational Graph Convolution Network.
CoRR
Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
2020 — conf
Graph-Revised Convolutional Network.
ECML/PKDD (3)
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
2020 J jnl
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding.
CoRR
Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
2020 — conf
Learning Relation Entailment with Structured and Textual Information.
AKBC
Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig
2019 J jnl
Graph-Revised Convolutional Network.
CoRR
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
2017 A* conf
Multi-site User Behavior Modeling and Its Application in Video Recommendation.
SIGIR
Chunfeng Yang, Huan Yan, Donghan Yu, Yong Li, Dah Ming Chiu
2017 J jnl
Smartphone App Usage Prediction Using Points of Interest.
CoRR
Donghan Yu, Yong Li, Fengli Xu, Pengyu Zhang, Vassilis Kostakos
2017 J jnl
Smartphone App Usage Prediction Using Points of Interest.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Donghan Yu, Yong Li, Fengli Xu, Pengyu Zhang, Vassilis Kostakos