| 2026 | AAAI | Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning. | Ying Zhang, Xingyue Guo, Yu Zhao, Xuhui Sui, Baohang Zhou, Xinying Qian, Xiaojie Yuan |
| 2026 | ACL | Beyond Timestamps: Bridging Forward and Backward Reasoning in Temporal Numerical and Relational Understanding. | Xinying Qian, Ying Zhang, Xuhui Sui, Yu Zhao, Baohang Zhou, Jeff Z. Pan |
| 2026 | WWW | Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction. | Baohang Zhou, Kehui Song, Rize Jin, Yu Zhao, Xuhui Sui, Xinying Qian, Xingyue Guo, Ying Zhang |
| 2025 | NAACL | Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions. | Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Huimin Wang, Guanhua Chen, Kam-Fai Wong |
| 2025 | WWW | Multimodal Knowledge Graph Error Detection with Disentanglement VAE and Multi-Grained Triplet Confidence. | Xuhui Sui, Ying Zhang, Yu Zhao, Baohang Zhou, Xiaojie Yuan |
| 2025 | WWW | Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction. | Baohang Zhou, Ying Zhang, Yu Zhao, Xuhui Sui, Xiaojie Yuan |
| 2024 | ACL | MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space. | Xuhui Sui, Ying Zhang, Yu Zhao, Kehui Song, Baohang Zhou, Xiaojie Yuan |
| 2024 | ACL | DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models. | Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong |
| 2024 | COLING | UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval. | Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong |
| 2024 | COLING | Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting. | Ying Zhang, Xinying Qian, Yu Zhao, Baohang Zhou, Kehui Song, Xiaojie Yuan |
| 2024 | COLING | MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction. | Baohang Zhou, Ying Zhang, Kehui Song, Hongru Wang, Yu Zhao, Xuhui Sui, Xiaojie Yuan |
| 2024 | EMNLP | TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering. | Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song |
| 2024 | ICASSP | M3sum: A Novel Unsupervised Language-Guided Video Summarization. | Hongru Wang, Baohang Zhou, Zhengkun Zhang, Yiming Du, David Ho, Kam-Fai Wong |
| 2024 | SIGIR | Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion. | Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai |
| 2023 | EMNLP | Selecting Key Views for Zero-Shot Entity Linking. | Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang |
| 2023 | EMNLP | BioFEG: Generate Latent Features for Biomedical Entity Linking. | Xuhui Sui, Ying Zhang, Xiangrui Cai, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang |
| 2022 | COLING | Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information. | Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Guoqing Zhao, Xin Wei, Xiaojie Yuan |
| 2022 | EMNLP | P\textM²\textF²N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction. | Ying Zhang, Baohang Zhou, Kehui Song, Xuhui Sui, Guoqing Zhao, Ning Jiang, Xiaojie Yuan |
| 2022 | EMNLP | A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition. | Baohang Zhou, Ying Zhang, Kehui Song, Wenya Guo, Guoqing Zhao, Hongbin Wang, Xiaojie Yuan |
| 2022 | ICASSP | A Multi-Task Learning Framework for Chinese Medical Procedure Entity Normalization. | Xuhui Sui, Kehui Song, Baohang Zhou, Ying Zhang, Xiaojie Yuan |
| 2021 | AAAI | MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization. | Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan |
| 2021 | ACL | An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization. | Baohang Zhou, Xiangrui Cai, Ying Zhang, Xiaojie Yuan |