| 2026 | AAAI | Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models. | Kunhao Li, Wenhao Li, Di Wu, Lei Yang, Jun Bai, Ju Jia, Jason Xue |
| 2026 | ISCAS | A 4GS/s 8b Time-Interleaved SAR ADC with LSB-Repeating-Based Background Offset Calibration and Adaptive-Average Residue Estimator. | Yunsong Tao, Xiyu He, Yuxuan He, Jun Bai, Xiaoge Zhu, Anqiang Guo, Hao Luo, Long Kong, Shaodi Wang, Yi Zhong, Lu Jie, Nan Sun |
| 2025 | ACL | Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching. | Jianfei Zhang, Bei Li, Jun Bai, Rumei Li, Yanmeng Wang, Chenghua Lin, Wenge Rong |
| 2025 | COLING | Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment. | Jianfei Zhang, Jun Bai, Bei Li, Yanmeng Wang, Rumei Li, Chenghua Lin, Wenge Rong |
| 2025 | EMNLP | Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs. | Jun Bai, Minghao Tong, Yang Liu, Zixia Jia, Zilong Zheng |
| 2025 | EMNLP | CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models. | Zhuofan Chen, Jiyuan He, Yichi Zhang, Xing Hu, Haoxing Wen, Jun Bai, Wenge Rong |
| 2025 | EMNLP | Reinforced Query Reasoners for Reasoning-intensive Retrieval Tasks. | Xubo Qin, Jun Bai, Jiaqi Li, Zixia Jia, Zilong Zheng |
| 2025 | KDD | A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning. | Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li, Yue Li |
| 2024 | COMPSAC | Research on Breast Lesion Localization and Diagnosis Based on Knowledge-Driven and Data-Driven Approach. | Lintao Song, Jianqiang Li, Xiaoling Liu, Yiming Liu, Tianbao Ma, Jun Bai, Linna Zhao, Qing Zhao, Xi Xu |
| 2024 | EMNLP | Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. | Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong |
| 2024 | ICLR | FedInverse: Evaluating Privacy Leakage in Federated Learning. | Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar |
| 2024 | IJCNN | TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval. | Zhenzi Li, Jun Bai, Zhuofan Chen, Chen Li, Yuanxin Ouyang, Wenge Rong |
| 2024 | KSEM | Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. | Zhiwei Sun, Jun Bai, Zhenzi Li, Chen Li, Wenge Rong, Yuanxin Ouyang, Zhang Xiong |
| 2024 | KSEM | Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection. | Junhao Xue, Chuantao Yin, Chen Li, Jun Bai, Hui Chen, Wenge Rong |
| 2023 | EMNLP | How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. | Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong |
| 2023 | ICASSP | Permutation Invariant Training for Paraphrase Identification. | Jun Bai, Chuantao Yin, Hanhua Hong, Jianfei Zhang, Chen Li, Yanmeng Wang, Wenge Rong |
| 2023 | IJCNN | Solving Math Word Problems Following Logically Consistent Template. | Zeyu Huang, Xiaofeng Zhang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong |
| 2023 | IJCNN | Subgraph-Oriented Heterogeneous Drug-Target Interaction Identification. | Xiaofeng Zhang, Zeyu Huang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong |
| 2022 | IJCNN | FedEWA: Federated Learning with Elastic Weighted Averaging. | Jun Bai, Atul Sajjanhar, Yong Xiang, Xiaojun Tong, Shan Zeng |
| 2022 | IJCNN | Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation. | Chen Li, Jun Bai, Chuanarui Wang, Yuanhao Hu, Wenge Rong, Zhang Xiong |
| 2022 | KSEM | Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding. | Yuanhao Hu, Yuanxin Ouyang, Jun Bai, Chuanrui Wang, Wenge Rong, Zhang Xiong |
| 2022 | KSEM | KnowReQA: A Knowledge-aware Retrieval Question Answering System. | Chuanrui Wang, Jun Bai, Xiaofeng Zhang, Cen Yan, Yuanxin Ouyang, Wenge Rong, Zhang Xiong |
| 2021 | EMNLP | Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval. | Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao |
| 2021 | ICASSP | Paragraph Level Multi-Perspective Context Modeling for Question Generation. | Jun Bai, Wenge Rong, Feiyu Xia, Yanmeng Wang, Yuanxin Ouyang, Zhang Xiong |
| 2019 | IJCNN | Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. | Jun Bai, Yi Zeng, Yuxuan Zhao, Feifei Zhao |
| 2017 | ICIP | Context-aware cascade network for semantic labeling in VHR image. | Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan |
| 2017 | ICIP | Efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard training strategy. | Kun Yuan, Gaofeng Meng, Dongcai Cheng, Jun Bai, Shiming Xiang, Chunhong Pan |
| 2017 | ICIP | Structured binary feature extraction for hyperspectral imagery classification. | Zisha Zhong, Bin Fan, Jun Bai, Shiming Xiang, Chunhong Pan |
| 2016 | IGARSS | A cascade structure of aircraft detection in high resolution remote sensing images. | Bangyu Li, Xiaoguang Cui, Jun Bai |
| 2015 | ICIP | Super-resolution reconstruction using graph Laplacian penalization. | Jun Bai, Limin Shi, Bangyu Li, Shiming Xiang, Chunhong Pan |
| 2013 | ICNC | Feasibility analysis of big log data real time search based on Hbase and ElasticSearch. | Jun Bai |
| 2012 | ICPR | Classification oriented semi-supervised band selection for hyperspectral images. | Jun Bai, Shiming Xiang, Chunhong Pan |