科研进展：修订间差异
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'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>''' | '''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>''' | ||
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2025</span></span></p> | <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2025</span></span></p> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | #<span style="font-size: medium; font-family: " times="" new="" roman",="" times,="" serif;"="">Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang. Multi‑round Q&A Hallucination Analysis of LLMs in Geographical Education [C] In </span>'''''Proceedin'''gs '''of International Conference on Intelligent Computing'''''<span style="font-size: medium; font-family: " times="" new="" roman",="" times,="" serif;"="">, 2025. </span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yiqun Niu, Zhongheng Wu, and Chongjun Wang. Memory-Enhanced Cognitive Planning: A Framework for Improving Long-Term Planning in LLMs[C]. In '''''Proceedings of International Conference on Intelligent Computing''''', 2025.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Ming Guo, Feng Chen, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', 2025.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuwei Qian | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Ming Guo, Feng Chen, Chongjun Wang. Unified multi-modal aggregated-masked diffusion network for MRI synthesis with modality missing [C]. In '''''Proceedings of International Conference on Neural Information Processing''''', 2025.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2025, 194: 108125.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Qiangqiang He, Shuwei Qian, Chongjun Wang. FastVDT: fast transformer with optimized attention masks and positional encoding for visual dialogue [J]. '''''IET Computer Vision''''', 2025, 19(1).</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang. Towards emotional insights in art: a knowledge-driven framework integrating artistic emotion knowledge into vision language models [C]. In '''''Proceedings of International Joint Conference on Neural Networks''''', 2025.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Changhong Xia, Zhendong Liu, Feng Chen, Haodi Zhou, Chongjun Wang. Step-aware confidence estimation in natural language reasoning [C]. In '''''Proceedings of International Joint Conference on Neural Networks''''', 2025.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuwei Qian, Zhicheng Fan, Qiangqiang He, Chongjun Wang. TIMM: a type-induced missing-aware mixture-of-experts model for imputing missing modalities [C]. In Proceedings of International Joint Conference on '''''Neural Networks''''', 2025.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Baoming Zhang, MingCai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang. Normalize then | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. Graph neural networks with coarse- and fine-grained division for mitigating label noise and sparsity [J]. '''''Neural Networks''''', 2025, 187: 107338.</span></span> | ||
#<span style="font- | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Changfeng Ma, Ran Bi, Jie Guo, Chongjun Wang, Yanwen Guo. Sparse point cloud patches rendering via splitting 2D gaussians [C]. In '''''Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition''''', 2025.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yuntao Du, | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Jie Zhang, Yirong Yao, Wei He, Yiqun Niu, Chongjun Wang. Regret optimization experience replay in off-policy reinforcement learning [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025.</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Qiangqiang He, Shuwei Qian, Jie Zhang, Chongjun Wang. Inference retrieval-augmented multi-modal chain-of-thoughts reasoning for language models [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025.</span></span> | |||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang. Knowledge is powerful: art knowledge-driven framework for painting style classification integrating multimodal knowledge [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025.</span></span> | |||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Baoming Zhang, MingCai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang. Normalize then propagate: efficient homophilous regularization for few-shot semi-supervised node classification [C]. In '''''Proceedings of the AAAI Conference on Artificial Intelligence''''', 2025, 39(12).</span></span> | |||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">MingCai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang. Robust logit adjustment for learning with long-tailed noisy data [C]. In '''''Proceedings of the AAAI Conference on Artificial Intelligence''''', 2025, 39(15).</span></span> | |||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yuntao Du, Siqi Luo, Yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang. Multi-source fully test-time adaptation [J]. '''Neural Networks''', 2025, 181: 106661.</span></span> | |||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Hengyang Lu, Longkang Lin, Chenyou Fan, Chongjun Wang, Wei Fang, Xiaojun Wu. Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives[J]. '''''Knowledge-Based Systems''''', 2025, 310:113009.</span></span> | |||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Hengyang Lu, Jia-ming Zhang, Yuntao Du, Chang Xia, Chongjun Wang, Wei Fang, Xiaojun Wu. Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation[J]. '''''Neurocomputing''''', 2025, 626:129554.</span></span> | |||
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2024</span></span></p> | <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2024</span></span></p> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Song J., etc. Similarity-Navigated Conformal Prediction for Graph Neural Networks. In '''''Proceedings of NIPS 2024''''', Accepted</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Song J., etc. Similarity-Navigated Conformal Prediction for Graph Neural Networks. In '''''Proceedings of NIPS 2024''''', Accepted</span></span> | ||