Li, Jianqiang

19 publications

AAAI 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification Jie Chen, Xinyuan Liu, Xintong Liu, Jianqiang Li

AAAI 2025 Attack-Inspired Calibration Loss for Calibrating Crack Recognition Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen, Jianqiang Li

NeurIPS 2025 BiggerGait: Unlocking Gait Recognition with Layer-Wise Representations from Large Vision Models Dingqiang Ye, Chao Fan, Zhanbo Huang, Chengwen Luo, Jianqiang Li, Shiqi Yu, Xiaoming Liu

AAAI 2025 Efficient Language-Instructed Skill Acquisition via Reward-Policy Co-Evolution Changxin Huang, Yanbin Chang, Junfan Lin, Junyang Liang, Runhao Zeng, Jianqiang Li

AAAI 2025 HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li

AAAI 2025 PScalpel: A Machine Learning-Based Guider for Protein Phase-Separating Behaviour Alteration Jia Wang, Liyan Zhu, Zhe Wang, Chenqiu Zhang, Yaoxing Wu, Jun Cui, Jianqiang Li

NeurIPS 2025 SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-Critical Expert Identification ZhengLin Lai, Mengyao Liao, Bingzhe Wu, Dong Xu, Zebin Zhao, Zhihang Yuan, Chao Fan, Jianqiang Li

IJCAI 2025 STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks Lijia Ma, Haoyang Fu, Zhijie Cao, Xiongnan Jin, Qiuzhen Lin, Jianqiang Li

CVPR 2025 ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li

ICCV 2025 TRNAS: A Training-Free Robust Neural Architecture Search Yeming Yang, Qingling Zhu, Jianping Luo, Ka-Chun Wong, Qiuzhen Lin, Jianqiang Li

AAAI 2024 ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation Qiuzhen Lin, Yangfan Chen, Lijia Ma, Wei-Neng Chen, Jianqiang Li

CVPR 2024 Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation Zhuangzhuang Chen, Zhuonan Lai, Jie Chen, Jianqiang Li

AAAI 2024 Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks Jia Wang, Wuqiang Su, Zushu Huang, Jie Chen, Chengwen Luo, Jianqiang Li

AAAI 2024 Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption Adil Nawaz, Guopeng Chen, Muhammad Umair Raza, Zahid Iqbal, Jianqiang Li, Victor C. M. Leung, Jie Chen

IJCAI 2023 RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li

ICCV 2023 The Devil Is in the Crack Orientation: A New Perspective for Crack Detection Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li

CVPR 2022 Geometry-Aware Guided Loss for Deep Crack Recognition Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li

ECCV 2022 When Active Learning Meets Implicit Semantic Data Augmentation Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li

ACML 2018 Clustering Uncertain Graphs with Node Attributes Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li