Wu, Qiong

17 publications

NeurIPS 2025 Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings Qiong Wu, Wenhao Lin, Yiyi Zhou, Weihao Ye, Zhanpeng Zeng, Xiaoshuai Sun, Rongrong Ji

NeurIPS 2025 Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed ElKoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma

AAAI 2025 Fit and Prune: Fast and Training-Free Visual Token Pruning for Multi-Modal Large Language Models Weihao Ye, Qiong Wu, Wenhao Lin, Yiyi Zhou

ICLR 2025 Routing Experts: Learning to Route Dynamic Experts in Existing Multi-Modal Large Language Models Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji

ICLR 2025 Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma

AAAI 2025 What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph Yutao Jiang, Qiong Wu, Wenhao Lin, Wei Yu, Yiyi Zhou

TMLR 2024 A General-Purpose Multi-Modal OOD Detection Framework Viet Quoc Duong, Qiong Wu, Zhengyi Zhou, Eric Zavesky, WenLing Hsu, Han Zhao, Huajie Shao

AAAI 2024 Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models Jiang Zhang, Qiong Wu, Yiming Xu, Cheng Cao, Zheng Du, Konstantinos Psounis

NeurIPS 2023 Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-Trained Models Qiong Wu, Wei Yu, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji

AAAI 2023 Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-Linear Machine Learning Models Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu

CVPR 2021 Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji

NeurIPS 2020 Adaptive Reduced Rank Regression Qiong Wu, Felix MF Wong, Yanhua Li, Zhenming Liu, Varun Kanade

AAAI 2020 Diversified Interactive Recommendation with Implicit Feedback Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang

AAAI 2019 Near-Neighbor Methods in Random Preference Completion Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia

IJCAI 2019 PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan

CVPRW 2018 Automated Virtual Navigation and Monocular Localization of Indoor Spaces from Videos Qiong Wu, Ambrose Li

IJCAI 2018 Cross-Modality Person Re-Identification with Generative Adversarial Training Pingyang Dai, Rongrong Ji, Haibin Wang, Qiong Wu, Yuyu Huang