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Baohang Zhou
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2020 – today
- 2025
- [j4]Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan:
Introducing high correlation and high quality instances for few-shot entity linking. Neural Networks 181: 106783 (2025) - 2024
- [j3]Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan:
Multi-level feature interaction for open knowledge base canonicalization. Knowl. Based Syst. 303: 112386 (2024) - [c16]Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong:
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models. ACL (Findings) 2024: 644-653 - [c15]Xuhui Sui, Ying Zhang, Yu Zhao, Kehui Song, Baohang Zhou, Xiaojie Yuan:
MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space. ACL (Findings) 2024: 816-826 - [c14]Ying Zhang, Xinying Qian, Yu Zhao, Baohang Zhou, Kehui Song, Xiaojie Yuan:
Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting. LREC/COLING 2024: 2526-2536 - [c13]Baohang Zhou, Ying Zhang, Kehui Song, Hongru Wang, Yu Zhao, Xuhui Sui, Xiaojie Yuan:
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction. LREC/COLING 2024: 11101-11110 - [c12]Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong:
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval. LREC/COLING 2024: 17074-17086 - [c11]Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song:
TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering. EMNLP 2024: 6942-6952 - [c10]Hongru Wang, Baohang Zhou, Zhengkun Zhang, Yiming Du, David Ho, Kam-Fai Wong:
M3sum: A Novel Unsupervised Language-Guided Video Summarization. ICASSP 2024: 4140-4144 - [c9]Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai:
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion. SIGIR 2024: 102-111 - [i4]Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong:
Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions. CoRR abs/2402.13514 (2024) - [i3]Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong:
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval. CoRR abs/2402.16261 (2024) - [i2]Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai:
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion. CoRR abs/2407.02867 (2024) - 2023
- [c8]Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang:
Selecting Key Views for Zero-Shot Entity Linking. EMNLP (Findings) 2023: 1303-1312 - [c7]Xuhui Sui, Ying Zhang, Xiangrui Cai, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang:
BioFEG: Generate Latent Features for Biomedical Entity Linking. EMNLP 2023: 11584-11593 - 2022
- [c6]Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Guoqing Zhao, Xin Wei, Xiaojie Yuan:
Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information. COLING 2022: 2429-2437 - [c5]Ying Zhang, Baohang Zhou, Kehui Song, Xuhui Sui, Guoqing Zhao, Ning Jiang, Xiaojie Yuan:
P\textM²\textF²N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction. EMNLP (Findings) 2022: 1985-1994 - [c4]Baohang Zhou, Ying Zhang, Kehui Song, Wenya Guo, Guoqing Zhao, Hongbin Wang, Xiaojie Yuan:
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition. EMNLP 2022: 6293-6302 - [c3]Xuhui Sui, Kehui Song, Baohang Zhou, Ying Zhang, Xiaojie Yuan:
A Multi-Task Learning Framework for Chinese Medical Procedure Entity Normalization. ICASSP 2022: 8337-8341 - [i1]Baohang Zhou, Ying Zhang, Xuhui Sui, Kehui Song, Xiaojie Yuan:
Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling. CoRR abs/2209.04156 (2022) - 2021
- [j2]Ying Zhang, Baohang Zhou, Xiangrui Cai, Wenya Guo, Xiaoke Ding, Xiaojie Yuan:
Missing value imputation in multivariate time series with end-to-end generative adversarial networks. Inf. Sci. 551: 67-82 (2021) - [j1]Ying Zhang, Baohang Zhou, Xiaoke Ding, Jiawei Ouyang, Xiangrui Cai, Jinyang Gao, Xiaojie Yuan:
Adversarially learned one-class novelty detection with confidence estimation. Inf. Sci. 552: 48-64 (2021) - [c2]Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan:
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization. AAAI 2021: 14586-14593 - [c1]Baohang Zhou, Xiangrui Cai, Ying Zhang, Xiaojie Yuan:
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization. ACL/IJCNLP (1) 2021: 6214-6224
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last updated on 2024-11-27 21:20 CET by the dblp team
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