Yanzhao Zhang

According to our database, Yanzhao Zhang authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

GME: Improving Universal Multimodal Retrieval by Multimodal LLMs.

Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang

CoRR, 2024

When Text Embedding Meets Large Language Model: A Comprehensive Survey.

Zhijie Nie, Zhangchi Feng, Mingxin Li, Cunwang Zhang, Yanzhao Zhang, Dingkun Long, Richong Zhang

CoRR, 2024

Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging.

Mingxin Li, Zhijie Nie, Yanzhao Zhang, Dingkun Long, Richong Zhang, Pengjun Xie

CoRR, 2024

An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation.

Peiming Guo, Sinuo Liu, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

CoRR, 2024

Technique Report of CVPR 2024 PBDL Challenges.

Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang

CoRR, 2024

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval.

Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training.

Longhui Zhang, Dingkun Long, Meishan Zhang, Yanzhao Zhang, Pengjun Xie, Min Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Research on Microservice Workflow Scheduling Based on Hybrid Optimization Algorithm.

Lijuan Cheng, Wenjian Tao, Ning Zhang, Yanzhao Zhang, Jianxia Li

Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

A Two-Stage Adaptation of Large Language Models for Text Ranking.

Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement.

Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

CoRR, 2023

Language Models are Universal Embedders.

Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

CoRR, 2023

Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track.

Guangwei Xu, Yanzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo

CoRR, 2023

Towards General Text Embeddings with Multi-stage Contrastive Learning.

Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang

CoRR, 2023

Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval.

Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie

CoRR, 2023

Empowering Azure Storage with RDMA.

Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, Brian Zill

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Text Representation Distillation via Information Bottleneck Principle.

Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval.

Dingkun Long, Yanzhao Zhang, Guangwei Xu, Pengjun Xie

CoRR, 2022

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking.

Yanzhao Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie

CoRR, 2022

Attitude Compensation Control for Quadrotor Under Partial Loss of Actuator Effectiveness.

Jie Dong, Yanzhao Zhang, Xiaotian Liu

IEEE Access, 2022

Hybrid Retrieval and Multi-stage Ranking at TREC 2022 Deep Learning Track.

Guangwei Xu, Yanzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling.

Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang, Min Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Genetic Analysis of bHLH Family in Purple Lettuce (Lactuca sativa L.).

Jian-Ming Han, Yao Chen, Yanzhao Zhang, Miaomiao Wang

Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives.

Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unsupervised Semantic Association Learning with Latent Label Inference.

Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao

Proceedings of the WWW '21: The Web Conference 2021, 2021

2019

A Clustering Based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram.

Yisha Lan, Yimin Ding, Xin Luo, Yanzhao Zhang, Chenxi Huang, E. Y. K. Ng, Weihong Huang, Xuezhong Zhou, Jie Su, Yonghong Peng, Zhicheng Wang, Yongqiang Cheng, Wenliang Che

IEEE Access, 2019