CV

2026

• Concept-Consistent Semi-Supervised Learning for Concept Bottleneck Models via Confidence-Guided Pseudo-Label Propagation, Yayue Mai, Songning Lai~, International Conference on Artificial Neural Networks ICANN 2026 (CCF C, Accepted). Paper
• Multimodal Deception in Explainable AI: Concept-Level Backdoor Attacks on Concept Bottleneck Models, Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, Tianlang Xue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Zongyang Liu, Yutao Yue, TMLR 2026 (Accepted). Project
• ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall, Jiayu Yang†, Yuxuan Fan†, Songning Lai†, Shengen Wu, Jiaqi Tang, Chun Kang, Zhijiang Guo, Yutao Yue, ICLR 2026 (CCF A). Project
• Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms, Ninghui Feng†, Songning Lai†, Xin Zhou, Jiayu Yang, Kunlong Feng, Zhenxiao Yin, Fobao Zhou, Zhangyi Hu, Yutao Yue, Yuxuan Liang, Boyu Wang, Hang Zhao, ICASSP 2026 (CCF B). Project
• TPTD: A Trusted Privacy-Preserving Truth Discovery Scheme for Quality Enhancement in Team-based Mobile Crowd Sensing, Yajiang Huang, ..., Songning Lai, ..., Houbing Herbert Song, Knowledge-Based Systems (JCR Q1, IF: 7.2).

2025

• Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models, Songning Lai, Mingqian Liao, Zhangyi Hu, Jiayu Yang, Wenshuo Chen, Hongru Xiao, Jianheng Tang, Haicheng Liao, Yutao Yue, ACM MM 2025 Brave New Idea Track (CCF A, Core A*). Project
• From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve, Songning Lai, Ninghui Feng, Jiechao Gao, Hao Wang, Haochen Sui, Xin Zou, Jiayu Yang, Wenshuo Chen, Hang Zhao, Xuming Hu, Yutao Yue, ACM MM 2025 (CCF A, Core A*). Project
• DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving, Songning Lai, Tianlang Xue, Hongru Xiao, Lijie Hu, Jiemin Wu, Ruiqiang Xiao, Ninghui Feng, Haicheng Liao, Zhenning Yang, Yutao Yue, ICRA 2025 (CCF B, Core A*). Project
• Stable Vision Concept Transformers for Medical Diagnosis, Lijie Hu†, Songning Lai†, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang, ECML-PKDD 2025 (CCF B, Core A). Project
• PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning, Bowen Tian†, Songning Lai†, Lujundong Li, Zhihao Shuai, Runwei Guan, Tian Wu, Yutao Yue, ICASSP 2025 (CCF B, Core B). Project
• IMTS is Worth Time X Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction, Zhangyi Hu, Jiemin Wu, Hua Xu, Minqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue, ICML 2025 (CCF A, Core A*).
• Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction, Jia Haozhe, Wenshuo Chen, Huang Zhihui, Lei Wang, Hongru Xiao, Jia Nanqian, Keming Wu, Songning Lai, Bowen Tian, Yutao Yue, ACM MM 2025 Brave New Idea Track (CCF A, Core A*).
• Can Audio Language Models Listen Between the Lines? A Study on Metaphorical Reasoning via Unspoken, Hongru Xiao, Xiang Li, Duyi Pan, Longfei Zhang, Zhixue Song, Jiale Han, Songning Lai, Wenshuo Chen, Jing Tang, Benyou Wang, ACM MM 2025 Brave New Idea Track (CCF A, Core A*).
• ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model, Wenshuo Chen, Kuimou Yu, Jia Haozhe, Kaishen Yuan, Zexu Huang, Bowen Tian, Songning Lai, Hongru Xiao, Erhang Zhang, Lei Wang, Yutao Yue, ACM MM 2025 (CCF A, Core A*).
• Text2Weight: Bridging Natural Language and Neural Network Weight Spaces, Bowen Tian, Wenshuo Chen, Zexi Li, Songning Lai, Jiemin Wu, Yutao Yue, ACM MM 2025 (CCF A, Core A*).
• CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds, Jiaxu Li, Rui Li, Jianyu Qi, Songning Lai, Linpu Lv, Kejia Fan, Jianheng Tang, Yutao Yue, Dongzhan Zhou, Yunhuai Liu, Huiping Zhuang, ACM MM 2025 (CCF A, Core A*).
• Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction, Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li, IJCAI 2025 (CCF A, Core A*).
• Boosting Expertise and Efficiency in LLM: A Knowledge-Enhanced Framework for Construction Support, Bin Yang, Hongru Xiao, Zixuan Zeng, Songning Lai, Jiale Han, Yanke Tan and Yiqing Ni, Alexandria Engineering Journal (JCR Q1, IF: 6.8).
• Generative Knowledge-Guided Review System for Construction Disclosure Documents, Hongru Xiao, Jiankun Zhuang, Bin Yang, Jiale Han, Yantao Yu and Songning Lai, Advanced Engineering Informatics (JCR Q1, IF: 9.9, CCF B).
• Automated Detection of Complex Construction Scenes Using a Lightweight Transformer-based Method, Hongru Xiao, Bin Yang, Yujie Lu, Wenshuo Chen, Songning Lai, Biaoli Gao, Automation in Construction (JCR Q1, IF: 9.6).
• Enhancing Domain Adaptation for Plant Diseases Detection through Masked Image Consistency in Multi-Granularity Alignment, Guinan Guo, Songning Lai, Qingyang Wu, Yuntao Shou, Wenxu Shi, Expert Systems With Applications (JCR Q1, IF: 8.4, CCF C).
• Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding, Runwei Guan, ..., Songning Lai, ..., Hui Xiong, IEEE TCSVT (JCR Q1, CCF B).

2024 and Earlier

• Faithful Vision-Language Interpretation via Concept Bottleneck Models, Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti and Di Wang, ICLR 2024 (CCF A). Project
• Towards Multi-dimensional Explanation Alignment for Medical Classification, Lijie Hu†, Songning Lai†, Wenshuo Chen†, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, and Di Wang, NeurIPS 2024 (CCF A). Project
• Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-task Learning, Songning Lai†, Jiakang Li, Guinan Guo, Xifeng Hu, Yulong Li, Yuan Tan, Zichen Song, Yutong Liu, Zhaoxia Ren, Chun Wang, Danmin Miao and Zhi Liu, IJCNN 2024 (CCF C).
• A Comprehensive Review of Community Detection in Graphs, Jiakang Li†, Songning Lai†, Zhihao Shuai, Yuan Tan, Yifan Jia, Mianyang Yu, Zichen Song, Xiaokang Peng, Ziyang Xu, Yongxin Ni, Haifeng Qiu, Jiayu Yang, Yutong Liu, Yonggang Lu, Neurocomputing (JCR Q1, CCF C).
• Multimodal Sentiment Analysis: A Survey, Songning Lai, Haoxuan Xu, Xifeng Hu, Zhaoxia Ren and Zhi Liu, Displays (JCR Q1).
• Cross-domain Car Detection Model with Integrated Convolutional Block Attention Mechanism, Haoxuan Xu†, Songning Lai† and Yang Yang, Image and Vision Computing (JCR Q1, CCF C).
• Predicting Lysine Phosphoglycerylation Sites using Bidirectional Encoder Representations with Transformers and Protein Feature Extraction and Selection, Songning Lai, Xifeng Hu, Jing Han, Chun Wang, Subhas Mukhopadhyay, Zhi Liu and Lan Ye, CISP-BMEI 2022.