Qiong Wu - RankMe

29 papers A* 6B 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling. CoRR Shaobo Ju, Baiyang Song, Tao Chen, Jiapeng Zhang, Qiong Wu, Chao Chang, Huaixi Wang, Yiyi Zhou, Rongrong Ji
2026	J	`jnl`	Not All Attention is Needed: Parameter and Computation Efficient Tuning for Multi-modal Large Language Models via Effective Attention Skipping. Int. J. Comput. Vis. Qiong Wu, Yiyi Zhou, Weihao Ye, Xiaoshuai Sun, Rongrong Ji
2026	J	`jnl`	Scaling the Long Video Understanding of Multimodal Large Language Models via Visual Memory Mechanism. CoRR Tao Chen, Kun Zhang, Qiong Wu, Xiao Chen, Chao Chang, Xiaoshuai Sun, Yiyi Zhou, Rongrong Ji
2025	J	`jnl`	CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. Qiong Wu, Jiaer Xia, Pingyang Dai, Yiyi Zhou, Yongjian Wu, Rongrong Ji
2025	A*	`conf`	Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models. AAAI Weihao Ye, Qiong Wu, Wenhao Lin, Yiyi Zhou
2025	J	`jnl`	Grounded Chain-of-Thought for Multimodal Large Language Models. CoRR Qiong Wu, Xiangcong Yang, Yiyi Zhou, Chenxin Fang, Baiyang Song, Xiaoshuai Sun, Rongrong Ji
2025	A*	`conf`	Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models. ICLR Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji
2025	J	`jnl`	Towards Effective and Efficient Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval. CoRR Tao Chen, Shaobo Ju, Qiong Wu, Chenxin Fang, Kun Zhang, Jun Peng, Hui Li, Yiyi Zhou, Rongrong Ji
2025	J	`jnl`	Unsupervised Domain Adaptation on Person Reidentification Via Dual-Level Asymmetric Mutual Learning. IEEE Trans. Neural Networks Learn. Syst. Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji
2025	A*	`conf`	What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph. AAAI Yutao Jiang, Qiong Wu, Wenhao Lin, Wei Yu, Yiyi Zhou
2025	J	`jnl`	What Kind of Visual Tokens Do We Need? Training-free Visual Token Pruning for Multi-modal Large Language Models from the Perspective of Graph. CoRR Yutao Jiang, Qiong Wu, Wenhao Lin, Wei Yu, Yiyi Zhou
2024	J	`jnl`	Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings. CoRR Qiong Wu, Wenhao Lin, Weihao Ye, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji
2024	B	`conf`	Adapting Pre-trained Language Models to Vision-Language Tasksvia Dynamic Visual Prompting. IJCNN Shubin Huang, Qiong Wu, Yiyi Zhou
2024	J	`jnl`	Bilateral Knowledge Interaction Network for Referring Image Segmentation. IEEE Trans. Multim. Haixin Ding, Shengchuan Zhang, Qiong Wu, Songlin Yu, Jie Hu, Liujuan Cao, Rongrong Ji
2024	J	`jnl`	Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models. CoRR Weihao Ye, Qiong Wu, Wenhao Lin, Yiyi Zhou
2024	J	`jnl`	Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models. CoRR Qiong Wu, Weihao Ye, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji
2024	J	`jnl`	Routing Experts: Learning to Route Dynamic Experts in Multi-modal Large Language Models. CoRR Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Gen Luo, Xiaoshuai Sun, Rongrong Ji
2023	J	`jnl`	Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting. CoRR Shubin Huang, Qiong Wu, Yiyi Zhou, Weijie Chen, Rongsheng Zhang, Xiaoshuai Sun, Rongrong Ji
2023	J	`jnl`	Approximated Prompt Tuning for Vision-Language Pre-trained Models. CoRR Qiong Wu, Shubin Huang, Yiyi Zhou, Pingyang Dai, Annan Shu, Guannan Jiang, Rongrong Ji
2023	A*	`conf`	Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models. NeurIPS Qiong Wu, Wei Yu, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji
2023	J	`jnl`	Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models. CoRR Qiong Wu, Wei Yu, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji
2023	J	`jnl`	Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning. CoRR Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji
2022	J	`jnl`	CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification. CoRR Qiong Wu, Jiaer Xia, Pingyang Dai, Yiyi Zhou, Yongjian Wu, Rongrong Ji
2022	J	`jnl`	Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation. IEEE Trans. Image Process. Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Chia-Wen Lin, Rongrong Ji
2021	J	`jnl`	Deep adversarial data augmentation with attribute guided for person re-identification. Signal Image Video Process. Qiong Wu, Pingyang Dai, Peixian Chen, Yuyu Huang
2021	A*	`conf`	Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification. CVPR Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji
2020	J	`jnl`	Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation. CoRR Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji
2019	J	`jnl`	Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding. CoRR Peixian Chen, Pingyang Dai, Qiong Wu, Yuyu Huang
2018	A*	`conf`	Cross-Modality Person Re-Identification with Generative Adversarial Training. IJCAI Pingyang Dai, Rongrong Ji, Haibin Wang, Qiong Wu, Yuyu Huang