MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization. - Baohang Zhou; Xiangrui Cai; Ying Zhang 015; Wenya Guo; Xiaojie Yuan (AAAI, 2021)

An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization. - Baohang Zhou; Xiangrui Cai; Ying Zhang 015; Xiaojie Yuan (ACL/IJCNLP (1), 2021)

Missing value imputation in multivariate time series with end-to-end generative adversarial networks. - Ying Zhang 015; Baohang Zhou; Xiangrui Cai; Wenya Guo; Xiaoke Ding; Xiaojie Yuan (Inf. Sci., 2021)

Adversarially learned one-class novelty detection with confidence estimation. - Ying Zhang 015; Baohang Zhou; Xiaoke Ding; Jiawei Ouyang; Xiangrui Cai; Jinyang Gao; Xiaojie Yuan (Inf. Sci., 2021)

Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information. - Xuhui Sui; Ying Zhang 015; Kehui Song; Baohang Zhou; Guoqing Zhao; Xin Wei; Xiaojie Yuan (COLING, 2022)

P extM² extF²N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction. - Ying Zhang 015; Baohang Zhou; Kehui Song; Xuhui Sui; Guoqing Zhao; Ning Jiang; Xiaojie Yuan (EMNLP (Findings), 2022)

A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition. - Baohang Zhou; Ying Zhang 015; Kehui Song; Wenya Guo; Guoqing Zhao; Hongbin Wang; Xiaojie Yuan (EMNLP, 2022)

A Multi-Task Learning Framework for Chinese Medical Procedure Entity Normalization. - Xuhui Sui; Kehui Song; Baohang Zhou; Ying Zhang 015; Xiaojie Yuan (ICASSP, 2022)

Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling. - Baohang Zhou; Ying Zhang 015; Xuhui Sui; Kehui Song; Xiaojie Yuan (CoRR, 2022)

Selecting Key Views for Zero-Shot Entity Linking. - Xuhui Sui; Ying Zhang 015; Kehui Song; Baohang Zhou; Xiaojie Yuan; Wensheng Zhang 002 (EMNLP (Findings), 2023)

BioFEG: Generate Latent Features for Biomedical Entity Linking. - Xuhui Sui; Ying Zhang 015; Xiangrui Cai; Kehui Song; Baohang Zhou; Xiaojie Yuan; Wensheng Zhang 002 (EMNLP, 2023)

MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space. - Xuhui Sui; Ying Zhang 015; Yu Zhao 043; Kehui Song; Baohang Zhou; Xiaojie Yuan (ACL (Findings), 2024)

DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models. - Baohang Zhou; Zezhong Wang 004; Lingzhi Wang 001; Hongru Wang 003; Ying Zhang 015; Kehui Song; Xuhui Sui; Kam-Fai Wong (ACL (Findings), 2024)

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval. - Hongru Wang 003; Boyang Xue; Baohang Zhou; Rui Wang 092; Fei Mi; Weichao Wang; Yasheng Wang; Kam-Fai Wong (LREC/COLING, 2024)

Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting. - Ying Zhang 015; Xinying Qian; Yu Zhao 043; Baohang Zhou; Kehui Song; Xiaojie Yuan (LREC/COLING, 2024)

MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction. - Baohang Zhou; Ying Zhang 015; Kehui Song; Hongru Wang 003; Yu Zhao 043; Xuhui Sui; Xiaojie Yuan (LREC/COLING, 2024)

TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering. - Xinying Qian; Ying Zhang 015; Yu Zhao 043; Baohang Zhou; Xuhui Sui; Li Zhang; Kehui Song (EMNLP, 2024)

M3sum: A Novel Unsupervised Language-Guided Video Summarization. - Hongru Wang 003; Baohang Zhou; Zhengkun Zhang; Yiming Du; David Ho; Kam-Fai Wong (ICASSP, 2024)

Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion. - Yu Zhao 043; Ying Zhang 015; Baohang Zhou; Xinying Qian; Kehui Song; Xiangrui Cai (SIGIR, 2024)

Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions. - Hongru Wang 003; Boyang Xue; Baohang Zhou; Tianhua Zhang; Cunxiang Wang; Guanhua Chen 001; Huimin Wang; Kam-Fai Wong (CoRR, 2024)

Multi-level feature interaction for open knowledge base canonicalization. - Xuhui Sui; Ying Zhang 015; Kehui Song; Baohang Zhou; Xiaojie Yuan (Knowl. Based Syst., 2024)

Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions. - Hongru Wang 003; Boyang Xue; Baohang Zhou; Tianhua Zhang; Cunxiang Wang; Huimin Wang; Guanhua Chen 001; Kam-Fai Wong (NAACL (Long Papers), 2025)

Multimodal Knowledge Graph Error Detection with Disentanglement VAE and Multi-Grained Triplet Confidence. - Xuhui Sui; Ying Zhang 015; Yu Zhao 043; Baohang Zhou; Xiaojie Yuan (WWW, 2025)

Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction. - Baohang Zhou; Ying Zhang 015; Yu Zhao 043; Xuhui Sui; Xiaojie Yuan (WWW, 2025)

Introducing high correlation and high quality instances for few-shot entity linking. - Xuhui Sui; Ying Zhang 015; Kehui Song; Baohang Zhou; Xiaojie Yuan (Neural Networks, 2025)

ZS-MNET: A zero-shot learning based approach to multimodal named entity typing. - Baohang Zhou; Ying Zhang 015; Kehui Song; Xuhui Sui; Yu Zhao 043; Xiaojie Yuan (Neural Networks, 2025)

Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion. - Ying Zhang 015; Yu Zhao 043; Xuhui Sui; Baohang Zhou; Xiangrui Cai; Li Shen 008; Xiaojie Yuan; Dacheng Tao (CoRR, 2025)

Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning. - Yu Zhao 043; Ying Zhang 015; Xuhui Sui; Baohang Zhou; Haoze Zhu; Jeff Z. Pan; Xiaojie Yuan (CoRR, 2025)