| 2026 | ACL | ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients". | Zhongyi Zhou, Kohei Uehara, Haoyu Zhang, Jingtao Zhou, Lin Gu, Ruofei Du, Zheng Xu, Tatsuya Harada |
| 2026 | HPCA | FACE: Fully Overlapped PD Scheduling and Multi-Level Architecture Co-Exploration on Wafer. | Zheng Xu, Dehao Kong, Jiaxin Liu, Dingcheng Jiang, Xu Dai, Jinyi Deng, Yang Hu, Shouyi Yin |
| 2025 | ACL | Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications. | Yanxiang Zhang, Zheng Xu, Shanshan Wu, Yuanbo Zhang, Daniel Ramage |
| 2025 | APSEC | Constructing and Evaluating Domain-Specific Synthetic QA Datasets for Airborne Software Engineering: An LLM-Based Framework in Practice. | Xiyue Ruan, Zheng Xu, Yifan Xu, Yunduo Wang, Lindong Wang, Minzhe Li, Ning Ge |
| 2025 | ASIACRYPT | SQIsign2D | Zheng Xu, Kaizhan Lin, Chang-An Zhao, Yi Ouyang |
| 2025 | CHI | InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs. | Zhongyi Zhou, Jing Jin, Vrushank Phadnis, Xiuxiu Yuan, Jun Jiang, Xun Qian, Kristen Wright, Mark Sherwood, Jason Mayes, Jingtao Zhou, Yiyi Huang, Zheng Xu, Yinda Zhang, Johnny Lee, Alex Olwal, David Kim, Ram Iyengar, Na Li, Ruofei Du |
| 2025 | ICLR | Debiasing Federated Learning with Correlated Client Participation. | Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei |
| 2025 | ICML | Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs. | Bowen Tan, Zheng Xu, Eric P. Xing, Zhiting Hu, Shanshan Wu |
| 2025 | IJCNN | ARNet: An Aggregation and Recalibration Network for Small Object Detection in Aerial Imagery. | Xin Deng, Zheng Xu, Wenzhu Yang, Hao Li, Tong Zhou |
| 2025 | ISCA | WSC-LLM: Efficient LLM Service and Architecture Co-exploration for Wafer-scale Chips. | Zheng Xu, Dehao Kong, Jiaxin Liu, Jinxi Li, Jingxiang Hou, Xu Dai, Chao Li, Shaojun Wei, Yang Hu, Shouyi Yin |
| 2025 | IECON | Dual-Domain Separation Deconvolution Algorithm of Speed Signal for Gear Fault Detection under Variable-Speed Conditions. | Xu Huang, Jianzhong Zhang, Shuai Xu, Zheng Xu, Ning Wang, Guohua Li |
| 2025 | KDD | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2025 | KDD | SPARTA: An Optimization Framework for Differentially Private Sparse Fine-Tuning. | Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Rahul Mazumder, Hussein Hazimeh |
| 2024 | CHI | Experiencing InstructPipe: Building Multi-modal AI Pipelines via Prompting LLMs and Visual Programming. | Zhongyi Zhou, Jing Jin, Vrushank Phadnis, Xiuxiu Yuan, Jun Jiang, Xun Qian, Jingtao Zhou, Yiyi Huang, Zheng Xu, Yinda Zhang, Kristen Wright, Jason Mayes, Mark Sherwood, Johnny Lee, Alex Olwal, David Kim, Ram Iyengar, Na Li, Ruofei Du |
| 2024 | DAC | GSPO: A Graph Substitution and Parallelization Joint Optimization Framework for DNN Inference. | Zheng Xu, Xu Dai, Shaojun Wei, Shouyi Yin, Yang Hu |
| 2024 | EMNLP | Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models. | Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi |
| 2024 | EMNLP | User Inference Attacks on Large Language Models. | Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu |
| 2024 | EMNLP | A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems. | Hugh McMahan, Zheng Xu, Yanxiang Zhang |
| 2024 | ICML | Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy. | Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu |
| 2024 | ICML | Safe and Robust Subgame Exploitation in Imperfect Information Games. | Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao |
| 2024 | ICML | Privacy-Preserving Instructions for Aligning Large Language Models. | Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu |
| 2024 | KDD | FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2024 | NAACL | Can Public Large Language Models Help Private Cross-device Federated Learning? | Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer |
| 2023 | ACL | Federated Learning of Gboard Language Models with Differential Privacy. | Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher A. Choquette-Choo, Peter Kairouz, H. Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang |
| 2023 | CVPR | Learning to Generate Image Embeddings with User-Level Differential Privacy. | Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan |
| 2023 | ICML | On the Convergence of Federated Averaging with Cyclic Client Participation. | Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang |
| 2023 | ICML | Beyond Uniform Lipschitz Condition in Differentially Private Optimization. | Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi |
| 2023 | KDD | How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy. | Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu, Brendan McMahan, Alexey Kurakin, Chiyaun Zhang |
| 2022 | CHI | SignFind: A Synchronized Sign Language and Chinese Character Teaching Game for Chinese Deaf Children Using Gesture Recognition. | Jintao Nie, Yijun Zhao, Bing Yao, Zheng Xu, Jiayan Chen, Changchao Yu, Preben Hansen, Jianhui Liu, Jiadi Wang, Ge Yan, Cheng Yao, Leijing Zhou, Fangtian Ying, Xiubo Liang, Guanyun Wang |
| 2022 | CHI | CamFi: An AI-driven and Camera-based System for Assisting Users in Finding Lost Objects in Multi-Person Scenarios. | Ge Yan, Chao Zhang, Jiadi Wang, Zheng Xu, Jianhui Liu, Jintao Nie, Fangtian Ying, Cheng Yao |
| 2022 | DASFAA | TxChain: Scaling Sharded Decentralized Ledger via Chained Transaction Sequences. | Zheng Xu, Rui Jiang, Peng Zhang, Tun Lu, Ning Gu |
| 2022 | ICBC | i-Bond: A Next Generation Bond's Issuing Service System. | Ji Liu, Zheng Xu, Yilin Sai, Yanmei Zhang, Dong Yuan, Shiping Chen |
| 2022 | ICLR | Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. | Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konecn, Andrew Hard, Tom Goldstein |
| 2022 | WCNC | Optimal Power Allocation for Non-Orthogonal Multiple Access VLC Systems with Shot Noise. | Yihan Cang, Ming Chen, Zheng Xu, Zhaohui Yang, Jingwen Zhao, Yanglin Ben, Binghao Cao, Chongwen Huang |
| 2021 | DASFAA | URIM: Utility-Oriented Role-Centric Incentive Mechanism Design for Blockchain-Based Crowdsensing. | Zheng Xu, Chaofan Liu, Peng Zhang, Tun Lu, Ning Gu |
| 2021 | GLOBECOM | Physical Layer Security Optimization for MIMO Enabled Visible Light Communication Networks. | Zheng Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Yihan Cang, H. Vincent Poor |
| 2021 | ICML | Practical and Private (Deep) Learning Without Sampling or Shuffling. | Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu |
| 2020 | AAAI | Universal Adversarial Training. | Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein |
| 2020 | CVPR | Further Non-local and Channel Attention Networks for Vehicle Re-identification. | Kai Liu, Zheng Xu, Zhaohui Hou, Zhicheng Zhao, Fei Su |
| 2020 | ICCAD | Automated Synthesis of Custom Networks-on-Chip for Real World Applications. | Anup Gangwar, Nitin Kumar Agarwal, Ravishankar Sreedharan, Ambica Prasad, Sri Harsha Gade, Zheng Xu |
| 2020 | ICML | The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. | Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein |
| 2019 | ITC | Safety Design of a Convolutional Neural Network Accelerator with Error Localization and Correction. | Zheng Xu, Jacob Abraham |
| 2019 | KDD | Large-Scale Training Framework for Video Annotation. | Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev |
| 2018 | AAAI | Towards Perceptual Image Dehazing by Physics-Based Disentanglement and Adversarial Training. | Xitong Yang, Zheng Xu, Jiebo Luo |
| 2018 | BMVC | Training Student Networks for Acceleration with Conditional Adversarial Networks. | Zheng Xu, Yen-Chang Hsu, Jiawei Huang |
| 2018 | BMVC | Strong Baseline for Single Image Dehazing with Deep Features and Instance Normalization. | Zheng Xu, Xitong Yang, Xue Li, Xiaoshuai Sun |
| 2018 | ICLR | Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks. | Zheng Xu, Yen-Chang Hsu, Jiawei Huang |
| 2018 | ICLR | Stabilizing Adversarial Nets with Prediction Methods. | Abhay Kumar Yadav, Sohil Shah, Zheng Xu, David W. Jacobs, Tom Goldstein |
| 2018 | ICMV | A review: machine learning on robotic grasping. | Youhao Li, Qujiang Lei, ChaoPeng Cheng, Gong Zhang, Weijun Wang, Zheng Xu |
| 2018 | IJCNN | Learning to Cluster for Proposal-Free Instance Segmentation. | Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang |
| 2018 | MICCAI | Group-Driven Reinforcement Learning for Personalized mHealth Intervention. | Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Liu Yang, Junzhou Huang |
| 2017 | AAAI | A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. | Zheng Xu, Junzhou Huang |
| 2017 | AAAI | Scalable Classifiers with ADMM and Transpose Reduction. | Gavin Taylor, Zheng Xu, Tom Goldstein |
| 2017 | AISTATS | Adaptive ADMM with Spectral Penalty Parameter Selection. | Zheng Xu, Mrio A. T. Figueiredo, Tom Goldstein |
| 2017 | CVPR | Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation. | Zheng Xu, Mrio A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein |
| 2017 | ICML | Adaptive Consensus ADMM for Distributed Optimization. | Zheng Xu, Gavin Taylor, Hao Li, Mrio A. T. Figueiredo, Xiaoming Yuan, Tom Goldstein |
| 2017 | IECON | Comparison of DC fault handling strategies for hybrid HVDC system. | Yi Lu, Jihong Li, Peng Qiu, Huangqing Xiao, Gaoren Liu, Zheng Xu |
| 2017 | IECON | An efficient modeling method for EMT analysis of large scale AC/DC power systems. | Chenxi Luo, Shaoqi Lu, Zheng Xu, Boming Lou, Wen Hua |
| 2017 | IECON | Voltage sensitivity analysis based bus voltage regulation in transmission systems with UPFC series converter. | Pengcheng Song, Zheng Xu, Chenxi Luo, Hui Cai, Zhenjian Xie |
| 2017 | SIGMOD | Exploring Financial Relationships Using Probabilistic Topic Models (Demonstration Paper). | Louiqa Raschid, Zheng Xu, Elena Zotkina |
| 2017 | SEKE | Authenticity Protection in Outsourced Database. | Jun Ye, Zheng Xu, Yong Ding, Qin Wang |
| 2016 | CIKM | resMBS: Constructing a Financial Supply Chain from Prospectus. | Douglas Burdick, Soham De, Louiqa Raschid, Mingchao Shao, Zheng Xu, Elena Zotkina |
| 2016 | CIKM | Probabilistic Financial Community Models with Latent Dirichlet Allocation for Financial Supply Chains. | Zheng Xu, Louiqa Raschid |
| 2016 | HPCC | A Heterogeneous System for Real-Time Detection with AdaBoost. | Zheng Xu, Runbin Shi, Zhihao Sun, Yaqi Li, Yuanjia Zhao, Chenjian Wu |
| 2016 | ICML | Training Neural Networks Without Gradients: A Scalable ADMM Approach. | Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit B. Patel, Tom Goldstein |
| 2016 | ICPR | Accelerated sparse optimization for missing data completion. | Zheng Xu, Yeqing Li, Junzhou Huang |
| 2016 | MICCAI | Subtype Cell Detection with an Accelerated Deep Convolution Neural Network. | Sheng Wang, Jiawen Yao, Zheng Xu, Junzhou Huang |
| 2016 | MICCAI | Detecting 10, 000 Cells in One Second. | Zheng Xu, Junzhou Huang |
| 2016 | SEKE | Deep Data Anaylizing Application Based on Scale Space Theory in Big Data Environment. | Ye Hu, Kun Gao, Zheng Xu |
| 2016 | SEKE | Secure Outsourcing Algorithm of Polynomials in Cloud Computing. | Xianlin Zhou, Yong Ding, Zhao Wang, Xiumin Li, Jun Ye, Zheng Xu |
| 2016 | SEKE | Building the Multi-layer Theory of Association Semantic based on the Power-law Distribution of Linking Keywords. | Guangli Zhu, Xiaojun Tang, Shunxiang Zhang, Zheng Xu |
| 2015 | BMVC | Exploiting Low-rank Structure for Discriminative Sub-categorization. | Zheng Xu, Xue Li, Kuiyuan Yang, Thomas A. Goldstein |
| 2015 | DSD | A Locality Aware Convolutional Neural Networks Accelerator. | Runbin Shi, Zheng Xu, Zhihao Sun, Maurice Peemen, Ang Li, Henk Corporaal, Di Wu |
| 2015 | ICA3PP | A Parallel Tabu Search Algorithm with Solution Space Partition for Cohesive Clustering Problems. | Zheng Xu, Buyang Cao |
| 2015 | MICCAI | An Effective Approach for Robust Lung Cancer Cell Detection. | Hao Pan, Zheng Xu, Junzhou Huang |
| 2015 | MICCAI | Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network. | Zheng Xu, Junzhou Huang |
| 2015 | MICCAI | Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction. | Zheng Xu, Yeqing Li, Leon Axel, Junzhou Huang |
| 2015 | MICCAI | Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization. | Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang |
| 2014 | ECCV | Exploiting Low-Rank Structure from Latent Domains for Domain Generalization. | Zheng Xu, Wen Li, Li Niu, Dong Xu |
| 2014 | TrustCom | Crowd Sensing of Urban Emergency Events Based on Social Media Big Data. | Zheng Xu, Hui Zhang, Yunhuai Liu, Lin Mei |
| 2013 | DAC | Dynamic voltage and frequency scaling for shared resources in multicore processor designs. | Xi Chen, Zheng Xu, Hyungjun Kim, Paul V. Gratz, Jiang Hu, Michael Kishinevsky, mit Y. Ogras, Raid Zuhair Ayoub |
| 2013 | ICDE | Client-centric OLAP on mobile devices. | Zheng Xu, Wo-Shun Luk, Stephen Petchulat |
| 2011 | DASC | Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis. | Junyu Xuan, Xiangfeng Luo, Shunxiang Zhang, Zheng Xu, Huimin Liu, Feiyue Ye |
| 2009 | ICPADS | Association Link Network: An Incremental Semantic Data Model on Organizing Web Resources. | Zheng Xu, Xiangfeng Luo, Wenjun Lu |
| 2009 | ICWS | Discovery of Semantic Web Service Flow Based on Computation. | Fangfang Liu, Yuliang Shi, Xiangfeng Luo, Guoning Liang, Zheng Xu |
| 2007 | ICCAD | The FAST methodology for high-speed SoC/computer simulation. | Derek Chiou, Dam Sunwoo, Joonsoo Kim, Nikhil A. Patil, William H. Reinhart, Darrel Eric Johnson, Zheng Xu |
| 2006 | ICPR | Logical Entity Recognition in Multi-Style Document Page Images. | Song Mao, Zheng Xu, Tardi Tjahjadi, George R. Thoma |
| 2003 | ICCD | Charge-Recycling Voltage Domains for Energy-Efficient Low-Voltage Operation of Digital CMOS Circuits. | Saravanan Rajapandian, Zheng Xu, Kenneth L. Shepard |