| 2026 | AAAI | FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions. | Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu |
| 2026 | AAAI | Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection. | Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu |
| 2026 | ASPLOS | MoE-APEX: An Efficient MoE Inference System with Adaptive Precision Expert Offloading. | Peng Tang, Jiacheng Liu, Xiaofeng Hou, Yifei Pu, Jing Wang, Pheng-Ann Heng, Chao Li, Minyi Guo |
| 2026 | KDD | Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. | Longzhu He, Chaozhuo Li, Peng Tang, Li Sun, Sen Su, Philip S. Yu |
| 2026 | NDSS | Faster Than Ever: A New Lightweight Private Set Intersection and Its Variants. | Guowei Ling, Peng Tang, Jinyong Shan, Liyao Xiang, Weidong Qiu |
| 2026 | WWW | The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning. | Longzhu He, Peng Tang, Li Sun, Sen Su |
| 2025 | ACL | R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding. | Joonhyung Park, Peng Tang, Sagnik Das, Srikar Appalaraju, Kunwar Yashraj Singh, R. Manmatha, Shabnam Ghadar |
| 2025 | ACL | Turbocharging Web Automation: The Impact of Compressed History States. | Xiyue Zhu, Peng Tang, Haofu Liao, Srikar Appalaraju |
| 2025 | APWEB | PriTree: Accurate Range Queries via Hierarchical Prefix-Sum Under Local Differential Privacy. | Shuyi Lang, Peng Tang, Ning Wang, Yipeng Teng, Shanqing Guo |
| 2025 | APWEB | Word Pair Information is Important for Nested Named Entity Recognition. | Peng Tang, Ming Lei, Chunhua Song, Baoning Niu |
| 2025 | CCS | Poisoning Attacks to Local Differential Privacy for Ranking Estimation. | Pei Zhan, Peng Tang, Yangzhuo Li, Puwen Wei, Shanqing Guo |
| 2025 | EDBT | Query Rewriting-Based View Generation for Efficient Multi-Relation Multi-Query with Differential Privacy. | Xinglin Du, Peng Tang, Rui Chen, Ning Wang, Chengyu Hu, Shanqing Guo |
| 2025 | ICASSP | Collaborative Personalized Federated Learning via Exponential Moving Average Optimization. | Yuqing Li, Jintao Liang, Peng Tang, Sen Su |
| 2025 | ICML | Going Deeper into Locally Differentially Private Graph Neural Networks. | Longzhu He, Chaozhuo Li, Peng Tang, Sen Su |
| 2025 | NAACL | On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models. | Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Ying Nian Wu, Li Erran Li |
| 2025 | SMC | Temporal-aware Neural Tucker Factorization for Traffic Data Imputation. | Yikai Hou, Peng Tang |
| 2025 | SMC | Fed-SHA: An Efficient Hyperparameter Optimization Approach for Federated Learning. | Yubin Zheng, Peng Tang, Xiheng Zhang, Yijie Hong, Weidong Qiu |
| 2024 | AAAI | DocFormerv2: Local Features for Document Understanding. | Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha |
| 2024 | AAAI | Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. | Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser |
| 2024 | AAAI | No Head Left Behind - Multi-Head Alignment Distillation for Transformers. | Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu |
| 2024 | ACISP | PassTSL: Modeling Human-Created Passwords Through Two-Stage Learning. | Haozhang Li, Yangde Wang, Weidong Qiu, Shujun Li, Peng Tang |
| 2024 | CVPR | Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA. | Zhuowan Li, Bhavan Jasani, Peng Tang, Shabnam Ghadar |
| 2024 | DATE | Adaptive DRAM Cache Division for Computational Solid-state Drives. | Shuaiwen Yu, Zhibing Sha, Chengyong Tang, Zhigang Cai, Peng Tang, Min Huang, Jun Li, Jianwei Liao |
| 2024 | EMNLP | LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters. | Jiacheng Liu, Peng Tang, Xiaofeng Hou, Chao Li, Pheng-Ann Heng |
| 2024 | EMNLP | DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. | Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto |
| 2024 | ESORICS | DPC: Filtering Out Patch-Based Poisoned Samples with Differential Privacy. | Yukun Yan, Peng Tang, Rui Chen, Qilong Han, Ruochen Du |
| 2024 | ICA3PP | PFDF: Privacy Preserving Federated Decision Forest for Classification. | Tongyaqi Li, Qingqiang Qi, Chengyu Hu, Xuelei Li, Peng Tang, Shanqing Guo |
| 2024 | ICDE | SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. | Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song |
| 2024 | IJCAI | Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains. | Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu |
| 2024 | IJCNN | Fine-Grained Contrastive Learning for Pulmonary Nodule Classification. | Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan |
| 2024 | IWQoS | CPM: A Cross-layer Power Management Facility to Enable QoS-Aware AIoT Systems. | Xiaofeng Hou, Peng Tang, Tongqiao Xu, Cheng Xu, Chao Li, Minyi Guo |
| 2024 | NAACL | Multiple-Question Multiple-Answer Text-VQA. | Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan |
| 2024 | NAACL | DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. | Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha |
| 2024 | SMC | MDS-GNN: Mutual Dual-Stream Graph Neural Network on Incomplete Graphs. | Peng Yuan, Peng Tang |
| 2024 | SMC | Multi-Segment Fusion-Enhanced Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction. | Wei Zhang, Peng Tang |
| 2024 | TrustCom | Multi-Dimensional Data Collection Under Personalized Local Differential Privacy. | Kunpeng Song, Mingzhang Sun, Kui Zhou, Peng Tang, Ning Wang, Shanqing Guo |
| 2024 | TrustCom | Interactive Verifiable Local Differential Privacy Protocols for Mean Estimation. | Liang Wang, Li Liu, Pei Zhan, Peng Tang, Puwen Wei, Shanqing Guo |
| 2024 | TrustCom | Security Assessment of Customizations in Android Smartwatch Firmware. | Yifan Yu, Ruoyan Lin, Shuang Li, Qinsheng Hou, Peng Tang, Wenrui Diao |
| 2024 | SecureComm | FLKT: Improving the Fidelity and Robustness of Federated Learning Aggregation Rules via the Key-Data and Trap-Model. | Peng Tang, Xiaojie Xu, Xinpeng Li, Weidong Qiu, Zheng Huang |
| 2023 | CANS | Improving Privacy of Anonymous Proof-of-Stake Protocols. | Shichen Wu, Zhiying Song, Puwen Wei, Peng Tang, Quan Yuan |
| 2023 | CSCWD | Discriminative Feature Focus via Masked Autoencoder for Zero-Shot Learning. | Jingqi Yang, Cheng Xie, Peng Tang |
| 2023 | DASFAA | A Novel Deep Learning Framework for Interpretable Drug-Target Interaction Prediction with Attention and Multi-task Mechanism. | Yubin Zheng, Peng Tang, Weidong Qiu, Hao Wang, Jie Guo, Zheng Huang |
| 2023 | EDBT | Multi-Dimensional Data Publishing With Local Differential Privacy. | Gaoyuan Liu, Peng Tang, Chengyu Hu, Chongshi Jin, Shanqing Guo |
| 2023 | ICDE | PrivNUD: Effective Range Query Processing under Local Differential Privacy. | Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu |
| 2023 | RTSS | SMG: A System-Level Modality Gating Facility for Fast and Energy-Efficient Multimodal Computing. | Xiaofeng Hou, Peng Tang, Chao Li, Jiacheng Liu, Cheng Xu, Kwang-Ting Cheng, Minyi Guo |
| 2022 | HPCC | FuzzGAN: A Generation-Based Fuzzing Framework for Testing Deep Neural Networks. | Ge Han, Zheng Li, Peng Tang, Chengyu Hu, Shanqing Guo |
| 2022 | UIC | Station-level Demand Prediction for Bike-sharing Based on Multi-spatio-temporal Scale Features. | Liming Jiang, Yang Li, Shaomiao Chen, Youfu Jiang, Peng Tang |
| 2021 | ICDE | Differentially Private Publication of Multi-Party Sequential Data. | Peng Tang, Rui Chen, Sen Su, Shanqing Guo, Lei Ju, Gaoyuan Liu |
| 2021 | ICICS | TranFuzz: An Ensemble Black-Box Attack Framework Based on Domain Adaptation and Fuzzing. | Hao Li, Shanqing Guo, Peng Tang, Chengyu Hu, Zhenxiang Chen |
| 2021 | ICLR | Shape-Texture Debiased Neural Network Training. | Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie |
| 2021 | WACV | Proposal Learning for Semi-Supervised Object Detection. | Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong |
| 2019 | CogSci | Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. | Hongru Zhu, Peng Tang, Alan L. Yuille, Soojin Park, Jeongho Park |
| 2019 | CVPR | Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification. | Song Bai, Peng Tang, Philip H. S. Torr, Longin Jan Latecki |
| 2019 | WACV | Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. | Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille |
| 2018 | ADMA | SQL Injection Behavior Mining Based Deep Learning. | Peng Tang, Weidong Qiu, Zheng Huang, Huijuan Lian, Guozhen Liu |
| 2018 | ECCV | Weakly Supervised Region Proposal Network and Object Detection. | Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille |
| 2018 | ICPR | Rethinking ReLU to Train Better CNNs. | Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang, Jingdong Wang |
| 2018 | MICCAI | Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. | Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille |
| 2017 | CVPR | Multiple Instance Detection Network with Online Instance Classifier Refinement. | Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu |
| 2016 | ICDE | Differentially private multi-party high-dimensional data publishing. | Sen Su, Peng Tang, Xiang Cheng, Rui Chen, Zequn Wu |
| 2016 | ICTAI | Formal Performance Guarantees for Behavior-Based Localization Missions. | Damian M. Lyons, Ronald C. Arkin, Shu D. Jiang, Matthew Joseph O'Brien, Feng Tang, Peng Tang |
| 2015 | DASFAA | Authentication of Top-k Spatial Keyword Queries in Outsourced Databases. | Sen Su, Han Yan, Xiang Cheng, Peng Tang, Peng Xu, Jianliang Xu |
| 2015 | INDIN | Wireless sensor network faulty scenes diagnosis using high dimensional Neighborhood Hidden Conditional Random Field. | Peng Tang, Tommy W. S. Chow |
| 2015 | ICTAI | Probabilistic Verification of Multi-robot Missions in Uncertain Environments. | Damian M. Lyons, Ronald C. Arkin, Shu D. Jiang, Dagan Harrington, Feng Tang, Peng Tang |
| 2014 | ICFHR | Connected Bond Recognition for Handwritten Chemical Skeletal Structural Formulas. | Peng Tang, Siu Cheung Hui, Chi-Wing Fu |
| 2014 | SSPR | Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition. | Peng Tang, Siu Cheung Hui, Chi-Wing Fu |
| 2013 | ICDAR | A Progressive Structural Analysis Approach for Handwritten Chemical Formula Recognition. | Peng Tang, Siu Cheung Hui, Chi-Wing Fu |
| 2013 | IJCNN | ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition. | Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang |
| 2013 | WSC | A sequential procedure for estimating the steady-state mean using standardized time series. | Christos Alexopoulos, David Goldsman, Peng Tang, James R. Wilson |
| 2012 | SSDBM | Functional Feature Extraction and Chemical Retrieval. | Peng Tang, Siu Cheung Hui, Gao Cong |
| 2011 | SERVICES | VirtualRank: A Prediction Based Load Balancing Technique in Virtual Computing Environment. | Qingyi Gao, Peng Tang, Ting Deng, Tianyu Wo |
| 2008 | ICPR | Video object segmentation based on graph cut with dynamic shape prior constraint. | Peng Tang, Lin Gao |
| 2007 | IROS | Automatic generation of contact state graphs between a polygon and a planar kinematic chain. | Peng Tang, Jing Xiao |
| 2006 | ICRA | Automatic Generation of Contact State Graphs based on Curvature Monotonic Segmentation. | Peng Tang, Jing Xiao |
| 2005 | ICRA | Automatic Generation of High-level Contact State Space between Planar Curved Objects. | Peng Tang, Jing Xiao |