Qing-Guo Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

External Knowledge

Label Propagation

Imbalanced Data

Multi Label Learning

Top Venues

Publications

Shiyin Lu, Yang Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Han-Jia Ye
Ovis: Structural Embedding Alignment for Multimodal Large Language Model. CoRR (2024)
Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
Wings: Learning Multimodal LLMs without Text-only Forgetting. CoRR (2024)
Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
Parrot: Multilingual Visual Instruction Tuning. CoRR (2024)
Sijia Chen, Yibo Wang, Yi-Feng Wu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees. CoRR (2024)
Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang
Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. WSDM (2022)
Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. CoRR (2022)
Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. CIKM (2022)
Zi-Hao Qiu, Ying-Chun Jian, Qing-Guo Chen, Lijun Zhang
Learning to Augment Imbalanced Data for Re-ranking Models. CIKM (2021)
Jing-Han Wu, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang
Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning. KDD (2020)
He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, Philip S. Yu
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge. CoRR (2020)
Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution. AAAI (2020)
Ze-Sen Chen, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang
Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation. AAAI (2020)
He Huang, Wei Tang, Philip S. Yu, Yuanwei Chen, Wenhao Zheng, Qing-Guo Chen
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge. BMVC (2020)
Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution. CoRR (2020)
Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang, Min-Ling Zhang
Multi-View Multi-Label Learning with View-Specific Information Extraction. IJCAI (2019)
Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang
Multi-View Active Learning for Video Recommendation. IJCAI (2019)