Baohang Zhou

40 papers A* 10B 1Misc 2Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning.
AAAI
Ying Zhang, Xingyue Guo, Yu Zhao, Xuhui Sui, Baohang Zhou, Xinying Qian, Xiaojie Yuan
2026 A* conf
Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction.
WWW
Baohang Zhou, Kehui Song, Rize Jin, Yu Zhao, Xuhui Sui, Xinying Qian, Xingyue Guo, Ying Zhang
2026 J jnl
Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction.
CoRR
Baohang Zhou, Kehui Song, Rize Jin, Yu Zhao, Xuhui Sui, Xinying Qian, Xingyue Guo, Ying Zhang
2026 J jnl
SMIR: Span-based multi-grained information refinement for joint multimodal entity-relation extraction.
Inf. Process. Manag.
Xuhui Sui, Ying Zhang, Yu Zhao, Baohang Zhou, Xinying Qian, Wenya Guo, Xiaojie Yuan
2025 J jnl
Coarse-to-fine multimodal prototype network for few-shot multimodal relation extraction.
Knowl. Based Syst.
Haoze Zhu, Baohang Zhou, Ziyu Lu, Xuhui Sui, Yu Zhao, Ying Zhang, Xiaojie Yuan
2025 A* conf
Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning.
ACM Multimedia
Yu Zhao, Ying Zhang, Xuhui Sui, Baohang Zhou, Haoze Zhu, Jeff Z. Pan, Xiaojie Yuan
2025 J jnl
Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning.
CoRR
Yu Zhao, Ying Zhang, Xuhui Sui, Baohang Zhou, Haoze Zhu, Jeff Z. Pan, Xiaojie Yuan
2025 J jnl
Few-shot temporal knowledge graph completion based on query-adaptive Mamba-enhanced temporal relation learning.
Knowl. Based Syst.
Xingyue Guo, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Xinying Qian, Xiaojie Yuan
2025 J jnl
Hindsight Distillation Reasoning with Knowledge Encouragement Preference for Knowledge-based Visual Question Answering.
CoRR
Yu Zhao, Ying Zhang, Xuhui Sui, Baohang Zhou, Li Shen, Dacheng Tao
2025 J jnl
Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion.
CoRR
Ying Zhang, Yu Zhao, Xuhui Sui, Baohang Zhou, Xiangrui Cai, Li Shen, Xiaojie Yuan, Dacheng Tao
2025 J jnl
Introducing high correlation and high quality instances for few-shot entity linking.
Neural Networks
Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan
2025 A* conf
Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction.
WWW
Baohang Zhou, Ying Zhang, Yu Zhao, Xuhui Sui, Xiaojie Yuan
2025 J jnl
Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction.
CoRR
Baohang Zhou, Ying Zhang, Yu Zhao, Xuhui Sui, Xiaojie Yuan
2025 A* conf
Multimodal Knowledge Graph Error Detection with Disentanglement VAE and Multi-Grained Triplet Confidence.
WWW
Xuhui Sui, Ying Zhang, Yu Zhao, Baohang Zhou, Xiaojie Yuan
2025 J jnl
Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering.
CoRR
Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Xiaojie Yuan
2025 — conf
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions.
NAACL (Long Papers)
Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Huimin Wang, Guanhua Chen, Kam-Fai Wong
2025 J jnl
ZS-MNET: A zero-shot learning based approach to multimodal named entity typing.
Neural Networks
Baohang Zhou, Ying Zhang, Kehui Song, Xuhui Sui, Yu Zhao, Xiaojie Yuan
2024 — conf
Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting.
LREC/COLING
Ying Zhang, Xinying Qian, Yu Zhao, Baohang Zhou, Kehui Song, Xiaojie Yuan
2024 A* conf
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion.
SIGIR
Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai
2024 J jnl
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion.
CoRR
Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai
2024 — conf
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models.
ACL (Findings)
Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong
2024 Misc conf
M3sum: A Novel Unsupervised Language-Guided Video Summarization.
ICASSP
Hongru Wang, Baohang Zhou, Zhengkun Zhang, Yiming Du, David Ho, Kam-Fai Wong
2024 — conf
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction.
LREC/COLING
Baohang Zhou, Ying Zhang, Kehui Song, Hongru Wang, Yu Zhao, Xuhui Sui, Xiaojie Yuan
2024 — conf
MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space.
ACL (Findings)
Xuhui Sui, Ying Zhang, Yu Zhao, Kehui Song, Baohang Zhou, Xiaojie Yuan
2024 J jnl
Multi-level feature interaction for open knowledge base canonicalization.
Knowl. Based Syst.
Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan
2024 J jnl
Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions.
CoRR
Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong
2024 A* conf
TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering.
EMNLP
Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song
2024 — conf
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval.
LREC/COLING
Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong
2024 J jnl
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval.
CoRR
Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong
2023 A* conf
BioFEG: Generate Latent Features for Biomedical Entity Linking.
EMNLP
Xuhui Sui, Ying Zhang, Xiangrui Cai, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang
2023 — conf
Selecting Key Views for Zero-Shot Entity Linking.
EMNLP (Findings)
Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang
2022 Misc conf
A Multi-Task Learning Framework for Chinese Medical Procedure Entity Normalization.
ICASSP
Xuhui Sui, Kehui Song, Baohang Zhou, Ying Zhang, Xiaojie Yuan
2022 A* conf
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition.
EMNLP
Baohang Zhou, Ying Zhang, Kehui Song, Wenya Guo, Guoqing Zhao, Hongbin Wang, Xiaojie Yuan
2022 B conf
Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information.
COLING
Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Guoqing Zhao, Xin Wei, Xiaojie Yuan
2022 J jnl
Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling.
CoRR
Baohang Zhou, Ying Zhang, Xuhui Sui, Kehui Song, Xiaojie Yuan
2022 — conf
P\textM²\textF²N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction.
EMNLP (Findings)
Ying Zhang, Baohang Zhou, Kehui Song, Xuhui Sui, Guoqing Zhao, Ning Jiang, Xiaojie Yuan
2021 J jnl
Adversarially learned one-class novelty detection with confidence estimation.
Inf. Sci.
Ying Zhang, Baohang Zhou, Xiaoke Ding, Jiawei Ouyang, Xiangrui Cai, Jinyang Gao, Xiaojie Yuan
2021 — conf
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization.
ACL/IJCNLP (1)
Baohang Zhou, Xiangrui Cai, Ying Zhang, Xiaojie Yuan
2021 A* conf
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization.
AAAI
Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan
2021 J jnl
Missing value imputation in multivariate time series with end-to-end generative adversarial networks.
Inf. Sci.
Ying Zhang, Baohang Zhou, Xiangrui Cai, Wenya Guo, Xiaoke Ding, Xiaojie Yuan