Generalized category discovery with decoupled prototypical network W An, F Tian, Q Zheng, W Ding, QY Wang, P Chen AAAI 2023 (Oral), 2023 | 50 | 2023 |
Aspect-based sentiment analysis with heterogeneous graph neural network W An, F Tian, P Chen, Q Zheng IEEE Transactions on Computational Social Systems 10 (1), 403-412, 2022 | 44 | 2022 |
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning W An, F Tian, P Chen, S Tang, Q Zheng, QY Wang EMNLP 2022 (Oral), 2022 | 20 | 2022 |
AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention W An, F Tian, S Leng, J Nie, H Lin, QY Wang, G Dai, P Chen, S Lu arXiv preprint arXiv:2406.12718, 2024 | 11 | 2024 |
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training W An, F Tian, P Chen, Q Zheng, W Ding IEEE Intelligent Systems 38 (4), 21-31, 2023 | 11 | 2023 |
Generalized Category Discovery with Large Language Models in the Loop W An, W Shi, F Tian, H Lin, QY Wang, Y Wu, M Cai, L Wang, Y Chen, ... ACL 2024 Findings, 2024 | 10 | 2024 |
Transfer and Alignment Network for Generalized Category Discovery W An, F Tian, W Shi, Y Chen, Y Wu, Q Wang, P Chen AAAI 2024, 2024 | 10 | 2024 |
A Diffusion Weighted Graph Framework for New Intent Discovery W Shi, W An, F Tian, Q Zheng, QY Wang, P Chen EMNLP 2023, 2023 | 9 | 2023 |
MMRel: A Relation Understanding Dataset and Benchmark in the MLLM Era J Nie, G Zhang, W An, YP Tan, AC Kot, S Lu arXiv preprint arXiv:2406.09121, 2024 | 7 | 2024 |
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery W An, F Tian, W Shi, Y Chen, Q Zheng, QY Wang, P Chen EMNLP 2023, 2023 | 7 | 2023 |
Schedule your edit: A simple yet effective diffusion noise schedule for image editing H Lin, M Wang, J Wang, W An, Y Chen, Y Liu, F Tian, G Dai, J Wang, ... NeurIPS 2024, 2024 | 4 | 2024 |
Knowledge acquisition disentanglement for knowledge-based visual question answering with large language models W An, F Tian, J Nie, W Shi, H Lin, Y Chen, QY Wang, Y Wu, G Dai, P Chen arXiv preprint arXiv:2407.15346, 2024 | 3 | 2024 |
Down: Dynamic order weighted network for fine-grained category discovery W An, F Tian, W Shi, H Lin, Y Wu, M Cai, L Wang, H Wen, L Yao, P Chen Knowledge-Based Systems 293, 111666, 2024 | 3 | 2024 |
A Unified Knowledge Transfer Network for Generalized Category Discovery W Shi, W An, F Tian, Y Chen, Y Wu, Q Wang, P Chen AAAI 2024, 2024 | 3 | 2024 |
A review of multimodal explainable artificial intelligence: Past, present and future S Sun, W An, F Tian, F Nan, Q Liu, J Liu, N Shah, P Chen arXiv preprint arXiv:2412.14056, 2024 | 2 | 2024 |
Flipped classroom: Aligning teacher attention with student in generalized category discovery H Lin, W An, J Wang, Y Chen, F Tian, M Wang, G Dai, Q Wang, J Wang NeurIPS 2024 (Oral), 2024 | 2 | 2024 |
A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery H Lin, W An, Y Chen, F Tian, Y Yao, W Ding, Q Wang, P Chen ICME 2024, 2024 | 2 | 2024 |
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation H Lin, M Wang, Y Chen, W An, Y Yao, G Dai, Q Wang, Y Liu, J Wang CVPR 2024, 2024 | 2 | 2024 |
Semantic-Enhanced Prototypical Network for Universal Novel Category Discovery H Lin, W An, Y Chen, F Tian, W Ding, QY Wang, P Chen, Y Wu, G Dai | 1 | 2024 |
Unleashing the Potential of Model Bias for Generalized Category Discovery W An, H Lin, J Nie, F Tian, W Shi, Y Wu, Q Wang, P Chen AAAI 2025, 2024 | | 2024 |