Prototypical recurrent unit. - Dingkun Long; Richong Zhang; Yongyi Mao (Neurocomputing, 2018)

Recurrent Neural Networks With Finite Memory Length. - Dingkun Long; Richong Zhang; Yongyi Mao (IEEE Access, 2019)

Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. - Bokang Zhu; Richong Zhang; Dingkun Long; Yongyi Mao (CoRR, 2019)

Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation. - Ning Ding 002; Dingkun Long; Guangwei Xu; Muhua Zhu; Pengjun Xie; Xiaobin Wang; Haitao Zheng 002 (ACL, 2020)

Hierarchy-Aware Global Model for Hierarchical Text Classification. - Jie Zhou 013; Chunping Ma; Dingkun Long; Guangwei Xu; Ning Ding; Haoyu Zhang; Pengjun Xie; Gongshen Liu (ACL, 2020)

Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling. - Haoyu Zhang; Dingkun Long; Guangwei Xu; Muhua Zhu; Pengjun Xie; Fei Huang 002; Ji Wang 001 (IJCAI, 2020)

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference. - Haoyu Zhang; Dingkun Long; Guangwei Xu; Pengjun Xie; Fei Huang 002; Ji Wang 001 (CoRR, 2020)

A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging. - Peijie Jiang; Dingkun Long; Yueheng Sun; Meishan Zhang; Guangwei Xu; Pengjun Xie (EMNLP (1), 2021)

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)

Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval. - Dingkun Long; Qiong Gao; Kuan Zou; Guangwei Xu; Pengjun Xie; Ruijie Guo; Jian Xu; Guanjun Jiang; Luxi Xing; Ping Yang (SIGIR, 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)

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)

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)

Fine-Grained Domain Adaptation for Chinese Syntactic Processing. - Meishan Zhang; Peiming Guo; Peijie Jiang; Dingkun Long; Yueheng Sun; Guangwei Xu; Pengjun Xie; Min Zhang 005 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 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)

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)

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)