A Clustering Based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram. - Yisha Lan; Yimin Ding; Xin Luo 001; Yanzhao Zhang; Chenxi Huang 001; E. Y. K. Ng; Weihong Huang; Xuezhong Zhou; Jie Su; Yonghong Peng; Zhicheng Wang; Yongqiang Cheng 001; et al. (IEEE Access, 2019)

Unsupervised Semantic Association Learning with Latent Label Inference. - Yanzhao Zhang; Richong Zhang; Jaein Kim 003; Xudong Liu 001; Yongyi Mao (WWW, 2021)

Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. - Yanzhao Zhang; Richong Zhang; Samuel Mensah; Xudong Liu 001; Yongyi Mao (AAAI, 2022)

Genetic Analysis of bHLH Family in Purple Lettuce (Lactuca sativa L.). - Jian-Ming Han; Yao Chen; Yanzhao Zhang; Miaomiao Wang (CACML, 2022)

Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling. - Peijie Jiang; Dingkun Long; Yanzhao Zhang; Pengjun Xie; Meishan Zhang; Min Zhang 005 (EMNLP, 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 (TREC, 2022)

Attitude Compensation Control for Quadrotor Under Partial Loss of Actuator Effectiveness. - Jie Dong; Yanzhao Zhang; Xiaotian Liu (IEEE Access, 2022)

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking. - Yanzhao Zhang; Dingkun Long; Guangwei Xu; Pengjun Xie (CoRR, 2022)

Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval. - Dingkun Long; Yanzhao Zhang; Guangwei Xu; Pengjun Xie (CoRR, 2022)

Text Representation Distillation via Information Bottleneck Principle. - Yanzhao Zhang; Dingkun Long; Zehan Li; Pengjun Xie (EMNLP, 2023)

Empowering Azure Storage with RDMA. - Wei Bai 001; Shanim Sainul Abdeen; Ankit Agrawal 013; Krishan Kumar Attre; Paramvir Bahl; Ameya Bhagat; Gowri Bhaskara; Tanya Brokhman; Lei Cao; Ahmad Cheema; Rebecca Chow; Jeff Cohen; et al. (NSDI, 2023)

Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval. - Zehan Li; Yanzhao Zhang; Dingkun Long; Pengjun Xie (CoRR, 2023)

Towards General Text Embeddings with Multi-stage Contrastive Learning. - Zehan Li; Xin Zhang 097; Yanzhao Zhang; Dingkun Long; Pengjun Xie; Meishan 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)

Language Models are Universal Embedders. - Xin Zhang 097; Zehan Li; Yanzhao Zhang; Dingkun Long; Pengjun Xie; Meishan Zhang; Min Zhang 005 (CoRR, 2023)

RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement. - Longhui Zhang; Yanzhao Zhang; Dingkun Long; Pengjun Xie; Meishan Zhang; Min Zhang 005 (CoRR, 2023)

A Two-Stage Adaptation of Large Language Models for Text Ranking. - Longhui Zhang; Yanzhao Zhang; Dingkun Long; Pengjun Xie; Meishan Zhang; Min Zhang 005 (ACL (Findings), 2024)

Research on Microservice Workflow Scheduling Based on Hybrid Optimization Algorithm. - Lijuan Cheng; Wenjian Tao; Ning Zhang; Yanzhao Zhang; Jianxia Li (BESC, 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 005 (LREC/COLING, 2024)

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. - Xin Zhang 097; Yanzhao Zhang; Dingkun Long; Wen Xie; Ziqi Dai; Jialong Tang; Huan Lin; Baosong Yang; Pengjun Xie; Fei Huang 002; Meishan Zhang; Wenjie Li 002; et al. (EMNLP (Industry Track), 2024)

Technique Report of CVPR 2024 PBDL Challenges. - Ying Fu 001; Yu Li 003; Shaodi You; Boxin Shi; Jose Alvarez; Coert Van Gemeren; Linwei Chen; Yunhao Zou; Zichun Wang; Yichen Li; Yuze Han; Yingkai Zhang; et al. (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 005 (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)

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)

GME: Improving Universal Multimodal Retrieval by Multimodal LLMs. - Xin Zhang 097; Yanzhao Zhang; Wen Xie; Mingxin Li; Ziqi Dai; Dingkun Long; Pengjun Xie; Meishan Zhang; Wenjie Li 002; Min Zhang 005 (CoRR, 2024)

Towards Text-Image Interleaved Retrieval. - Xin Zhang 097; Ziqi Dai; Yongqi Li 001; Yanzhao Zhang; Dingkun Long; Pengjun Xie; Meishan Zhang; Jun Yu; Wenjie Li 002; Min Zhang 005 (ACL (1), 2025)

Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models. - Xin Zhang 097; Yanzhao Zhang; Wen Xie; Mingxin Li; Ziqi Dai; Dingkun Long; Pengjun Xie; Meishan Zhang; Wenjie Li 002; Min Zhang 005 (CVPR, 2025)

Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs. - Tiancheng Gu; Kaicheng Yang 002; Ziyong Feng; Xingjun Wang; Yanzhao Zhang; Dingkun Long; Yingda Chen; Weidong Cai 001; Jiankang Deng (CoRR, 2025)

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models. - Yanzhao Zhang; Mingxin Li; Dingkun Long; Xin Zhang 097; Huan Lin; Baosong Yang; Pengjun Xie; An Yang; Dayiheng Liu; Junyang Lin; Fei Huang 002; Jingren Zhou 001 (CoRR, 2025)