| 2026 | AAAI | S3Net: Spatiotemporally Separated Sparse Network for Neuromorphic Vision Processing. | Ping He, Rong Xiao, Wanying Xu, Chenwei Tang, Shudong Huang, Huajin Tang |
| 2026 | AAAI | Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement. | Xiaonan Luo, Yue Huang, Ping He, Xiangliang Zhang |
| 2026 | AAAI | HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors. | Jingxiao Yang, Ping He, Tianyu Du, Sun Bing, Xuhong Zhang |
| 2026 | ACL | Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors. | Rui Yin, Tianxu Han, Naen Xu, Changjiang Li, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Jinbao Li, Shouling Ji |
| 2026 | WWW | FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks. | Naen Xu, Jinghuai Zhang, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Zhaoxiang Wang, Shouling Ji |
| 2025 | EMNLP | CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing. | Boyu Zhang, Ping He, Tianyu Du, Xuhong Zhang, Lei Yun, Kingsum Chow, Jianwei Yin |
| 2025 | MICCAI | ADAptation: Reconstruction-Based Unsupervised Active Learning for Breast Ultrasound Diagnosis. | Yaofei Duan, Yuhao Huang, Xin Yang, Luyi Han, Xinyu Xie, Zhiyuan Zhu, Ping He, Ka-Hou Chan, Ligang Cui, Sio Kei Im, Dong Ni, Tao Tan |
| 2024 | ADMA | Application of Oversampling Techniques Under Neyman-Pearson Paradigm on Credit Card Fraud Detection. | Chujun Huang, Suijing Chen, You Wu, Anyan Liu, Ping He, Min Zhou |
| 2024 | CVPR | Logarithmic Lenses: Exploring Log RGB Data for Image Classification. | Bruce A. Maxwell, Sumegha Singhania, Avnish Patel, Rahul Kumar, Heather Fryling, Sihan Li, Haonan Sun, Ping He, Zewen Li |
| 2024 | ICLR | BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. | Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal |
| 2023 | ACML | Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting. | Chunlin Ji, Yuhao Fu, Ping He |
| 2023 | CCS | Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting. | Ping He, Yifan Xia, Xuhong Zhang, Shouling Ji |
| 2023 | ESORICS | Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection. | Yifan Xia, Ping He, Xuhong Zhang, Peiyu Liu, Shouling Ji, Wenhai Wang |
| 2023 | KSEM | Knowledge Leadership, AI Technology Adoption and Big Data Application Ability. | Siqi Zhu, Ping He, Jianming Zhou, Peng Zhang |
| 2019 | ICNC | Modeling of Information Diffusion in Sina Weibo Based on Random Forest Classifier and SIR Model. | Jianyi Zhang, Ping He, Ken K. T. Tsang, Yuhui Deng |
| 2017 | ICMLC | Classification of heart failure with Polynomial Smooth Support Vector Machine. | Yu-Bo Yuan, Wen-Qiang Qiu, Ying-Jie Wang, Ju Gao, Ping He |
| 2017 | ICMLC | Heart disease classification based on feature fusion. | Ting-Ting Zhao, Yu-Bo Yuan, Ying-Jie Wang, Ju Gao, Ping He |
| 2017 | ICNC | The comparison of four methods in finding influential spreader in social network. | Baozhang Ren, Yu Hui Deng, Ping He, Kang-Too Tsang |
| 2016 | IDEAL | Supervised Isometric Mapping Based Classification Algorithm. | Ping He, Tianyu Jing, Xiao-hua Xu, Lei Zhang, Huihui Lin |
| 2016 | IDEAL | An Efficient Sparse Optimization Method for Unfinished Magic Squares. | Yali Liang, Xiao-hua Xu, Zheng Liao, Ping He |
| 2016 | MOMM | Differentially Private Moving Object Database Publication in Location Tracking Service. | Zheng Huo, Teng Wang, Ping He |
| 2016 | PDCAT | Efficient Data Retrieval Algorithm for Multi-Request in Multi-Antenna Wireless Networks. | Ping He, Zheng Huo |
| 2015 | ECIR | Toward the New Item Problem: Context-Enhanced Event Recommendation in Event-Based Social Networks. | Zhenhua Wang, Ping He, Lidan Shou, Ke Chen, Sai Wu, Gang Chen |
| 2015 | ICNC | Exploring influential nodes using multi-attribute information. | Ping He, Jing Wang, Weisi Feng, Li Li |
| 2014 | CEC | Confidence-based ant random walks. | Ping He, Lin Lu, Xiao-hua Xu, Kanwen Li, Heng Qian, Wei Zhang |
| 2014 | CEC | Evolutionary semi-supervised learning with swarm intelligence. | Ping He, Lin Lu, Xiao-hua Xu, Heng Qian, Wei Zhang, Yongsheng Ju |
| 2013 | MOMM | Efficient Approximation Algorithm for Data Retrieval with Conflicts in Wireless Networks. | Ping He, Hong Shen, Hui Tian |
| 2012 | ECCV | Constrained Clustering with Local Constraint Propagation. | Ping He, Xiao-hua Xu, Ling Chen |
| 2012 | ICNC | The three-wave method for the asymmetric Nizhnik-Novikov-Vesselov equation. | Ping He, Defei Zhang |
| 2011 | ICMLC | Constrained ant clustering. | Xiao-hua Xu, Zhou-Jin Pan, Ping He, Ling Chen |
| 2011 | ICNC | The three-wave method for two shallow water wave equations. | Ping He, Defei Zhang |
| 2010 | ICMLC | Learning spectral graph mapping for classification. | Xiao-hua Xu, Ping He, Ling Chen |
| 2007 | HCI | A Sensor Positioning System for Functional Near-Infrared Neuroimaging. | Ping He, Betty Yang, Sarah Hubbard, Justin Estepp, Glenn F. Wilson |
| 2005 | ICCSA | Fast Parallel Algorithms for the Longest Common Subsequence Problem Using an Optical Bus. | Xiao-hua Xu, Ling Chen, Yi Pan, Ping He |
| 2005 | ISPA | Fast Sequence Similarity Computing with LCS on LARPBS. | Xiao-hua Xu, Ling Chen, Ping He |