Chen, Qing-Guo

19 publications

ICML 2025 CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang

NeurIPS 2025 Let the LLM Stick to Its Strengths: Learning to Route Economical LLM Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, Weihua Luo, De-Chuan Zhan, Han-Jia Ye

ICCV 2025 MDP3: A Training-Free Approach for List-Wise Frame Selection in Video-LLMs Hui Sun, Shiyin Lu, Huanyu Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ming Li

ICLR 2025 Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Qing-Guo Chen, Xiangtai Li, Zhen Dong, Lei Zhu, Shuicheng Yan

ICLR 2025 Multi-Label Test-Time Adaptation with Bound Entropy Minimization Xiangyu Wu, Feng Yu, Yang Yang, Qing-Guo Chen, Jianfeng Lu

NeurIPS 2025 Multimodal Tabular Reasoning with Privileged Structured Information Jun-Peng Jiang, Yu Xia, Hai-Long Sun, Shiyin Lu, Qing-Guo Chen, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

ICML 2025 Parrot: Multilingual Visual Instruction Tuning 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

NeurIPS 2025 SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models Yibo Wang, Guangda Huzhang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang

ICCV 2025 TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Minghao Fu, Guo-Hua Wang, Xiaohao Chen, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang

NeurIPS 2025 Triplets Better than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs Yibo Wang, Hai-Long Sun, Guangda Huzhang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang

CVPR 2025 UNIC-Adapter: Unified Image-Instruction Adapter with Multi-Modal Transformer for Image Generation Lunhao Duan, Shanshan Zhao, Wenjun Yan, Yinglun Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Mingming Gong, Gui-Song Xia

ICLR 2025 ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-Scale Training Data for Multimodal LLMs Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2024 Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees Sijia Chen, Yibo Wang, Yi-Feng Wu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang

IJCAI 2024 TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt Xiangyu Wu, Qing-Yuan Jiang, Yang Yang, Yi-Feng Wu, Qing-Guo Chen, Jianfeng Lu

NeurIPS 2024 Wings: Learning Multimodal LLMs Without Text-Only Forgetting Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

AAAI 2020 Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li

AAAI 2020 Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation Ze-Sen Chen, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang

IJCAI 2019 Multi-View Active Learning for Video Recommendation Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang

IJCAI 2019 Multi-View Multi-Label Learning with View-Specific Information Extraction Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang, Min-Ling Zhang