Xianzhi Du
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
13
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling. | Xinze Wang, Chen Chen, Yinfei Yang, Hong-You Chen, Bowen Zhang, Aditya Pal, Xiangxin Zhu, Xianzhi Du |
| 2025 | ICLR | MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. | Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, et al. |
| 2024 | ECCV | VeCLIP: Improving CLIP Training via Visual-Enriched Captions. | Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao |
| 2024 | ECCV | MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. | Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu H, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang |
| 2024 | ICLR | Guiding Instruction-based Image Editing via Multimodal Large Language Models. | Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan |
| 2024 | ICLR | Compressing LLMs: The Truth is Rarely Pure and Never Simple. | Ajay Kumar Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang |
| 2024 | ICLR | MOFI: Learning Image Representations from Noisy Entity Annotated Images. | Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Yinfei Yang |
| 2024 | ICLR | Ferret: Refer and Ground Anything Anywhere at Any Granularity. | Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang |
| 2024 | WACV | Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models. | Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao |
| 2023 | ICCV | AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. | Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li |
| 2023 | ICPADS | ISAA: Boost Repair Process by Constructing the Degree Constrained Optimal Repair Tree for Erasure-coded Systems. | Xianzhi Du, Bing Zhu, Zhihang Deng, Kenneth W. Shum, Weiping Wang |
| 2022 | ECCV | A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. | Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou |
| 2022 | GLOBECOM | A Genetic Algorithm-based Construction of Fractional Repetition Codes. | Zhihang Deng, Bing Zhu, Xianzhi Du, Kenneth W. Shum |
| 2022 | ICLR | Auto-scaling Vision Transformers without Training. | Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou |
| 2022 | ICML | Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. | Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang |
| 2020 | CVPR | SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. | Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song |
| 2020 | ECCV | Efficient Scale-Permuted Backbone with Learned Resource Distribution. | Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song |
| 2019 | ICIP | Multi-Task Learning of Depth from Tele and Wide Stereo Image Pairs. | Mostafa El-Khamy, Xianzhi Du, Haoyu Ren, Jungwon Lee |
| 2017 | IPCCC | Cyber-physical system enabled nearby traffic flow modelling for autonomous vehicles. | Baiyu Chen, Zhengyu Yang, Siyu Huang, Xianzhi Du, Zhiwei Cui, Janki Bhimani, Xin Xie, Ningfang Mi |
| 2017 | WACV | Fused DNN: A Deep Neural Network Fusion Approach to Fast and Robust Pedestrian Detection. | Xianzhi Du, Mostafa El-Khamy, Jungwon Lee, Larry S. Davis |
| 2015 | CVPR | A graphical model approach for matching partial signatures. | Xianzhi Du, David S. Doermann, Wael Abd-Almageed |
| 2014 | ICPR | Signature Matching Using Supervised Topic Models. | Xianzhi Du, David S. Doermann, Wael Abd-Almageed |
| 2013 | ICDAR | Large-Scale Signature Matching Using Multi-stage Hashing. | Xianzhi Du, Wael Abd-Almageed, David S. Doermann |