| 2026 | ACL | TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems. | Rui Sun, Jie Ding, Chenghua Gong, Tianjun Gu, Yihang Jiang, Juyuan Zhang, Liming Pan, Linyuan L |
| 2026 | NSDI | BURST: Seeking High-performance, Interoperability and Scalability in Soft-RDMA. | Huijun Shen, Zelong Yue, Jian Yang, Zhuo Jiang, Lang An, Yulin Chen, Yong Zhang, Luochangqi Ding, Xiaolong Zhong, Zhihong Wang, Jie Ding, Hongyu Wu, Jianxi Ye, Xijin Yin, Xingyu Zhang, Xingyu Guo, Guo Chen |
| 2025 | AAAI | Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation. | Ziqian Ning, Shuai Wang, Yuepeng Jiang, Jixun Yao, Lei He, Shifeng Pan, Jie Ding, Lei Xie |
| 2025 | EMNLP | AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. | An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding |
| 2025 | EMNLP | DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains. | Yongkang Xiao, Sinian Zhang, Yi Dai, Huixue Zhou, Jue Hou, Jie Ding, Rui Zhang |
| 2025 | ICLR | Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing. | Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar |
| 2025 | ICLR | MAP: Multi-Human-Value Alignment Palette. | Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar |
| 2025 | ICML | On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains. | Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding |
| 2025 | IROS | Safety Aware Task Planning via Large Language Models in Robotics. | Azal Ahmad Khan, Michael Andrev, Muhammad Ali Murtaza, Sergio Aguilera, Rui Zhang, Jie Ding, Seth Hutchinson, Ali Anwar |
| 2025 | NAACL | AID: Adaptive Integration of Detectors for Safe AI with Language Models. | Xinran Wang, Enmao Diao, Qi Le, Jie Ding, Ali Anwar |
| 2025 | VTC | Energy-Efficient Random Access for mMTC Using NOMA and Q-learning. | Xu Zhao, Zhenyou Wang, Zeyu Wu, Jie Ding |
| 2024 | APCC | Spectral Efficiency Analysis for Grant-Free Random Access Cell-Free Massive MIMO with Ricean Fading. | Shuai Xiao, Pei Liu, Qi Zhang, Wen Zhan, Jie Ding, Jinho Choi |
| 2024 | ECCV | CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. | Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr |
| 2024 | ICLR | Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. | Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding |
| 2024 | ISCAS | New Measure for Network Controllability Robustness Based on Controllable Subspace. | Yanwen Liu, Jie Ding, Xiang Li |
| 2024 | UAI | Base Models for Parabolic Partial Differential Equations. | Xingzi Xu, Ali Hasan, Jie Ding, Vahid Tarokh |
| 2023 | AISTATS | Score-based Quickest Change Detection for Unnormalized Models. | Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh |
| 2023 | ICASSP | Quantifying Catastrophic Forgetting in Continual Federated Learning. | Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr |
| 2023 | ICLR | Pruning Deep Neural Networks from a Sparsity Perspective. | Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh |
| 2023 | ICLR | Characteristic Neural Ordinary Differential Equation. | Xingzi Xu, Ali Hasan, Khalil Elkhalil, Jie Ding, Vahid Tarokh |
| 2023 | ICML | Understanding Backdoor Attacks through the Adaptability Hypothesis. | Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding |
| 2023 | ISCAS | A Foreground LSB-Based Capacitor Mismatch Calibration Method in An 18-bit SAR ADC. | Jie Ding, Yongzhen Chen, Cuixia Wang, Jiangfeng Wu |
| 2023 | IECON | Super-Resolution of Underwater Sonar Image Based on Generative Adversarial Network. | Zhengda Ma, Jie Ding, Sensen Li, Binbin Zou |
| 2023 | ISIT | Assisted Unsupervised Domain Adaptation. | Cheng Chen, Jiawei Zhang, Jie Ding, Yi Zhou |
| 2023 | UAI | Robust Quickest Change Detection for Unnormalized Models. | Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh |
| 2022 | ACSSC | Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. | Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding |
| 2022 | CIKM | A Multi-granularity Network for Emotion-Cause Pair Extraction via Matrix Capsule. | Cheng Yang, Zhongwei Zhang, Jie Ding, Wenjun Zheng, Zhiwen Jing, Ying Li |
| 2022 | DCC | On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections. | Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh |
| 2022 | ICASSP | Federated Learning Challenges and Opportunities: An Outlook. | Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang |
| 2022 | ICASSP | Mismatched Supervised Learning. | Xun Xian, Mingyi Hong, Jie Ding |
| 2022 | ICMLA | What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. | Erum Mushtaq, Jie Ding, Salman Avestimehr |
| 2021 | AISTATS | Fisher Auto-Encoders. | Khalil Elkhalil, Ali Hasan, Jie Ding, Sina Farsiu, Vahid Tarokh |
| 2021 | DCC | Compressing Deep Networks Using Fisher Score of Feature Maps. | Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh |
| 2021 | ICASSP | Assisted Learning: Cooperative AI with Autonomy. | Jiaying Zhou, Xun Xian, Na Li, Jie Ding |
| 2021 | ICLR | HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. | Enmao Diao, Jie Ding, Vahid Tarokh |
| 2021 | ICLR | Information Laundering for Model Privacy. | Xinran Wang, Yu Xiang, Jun Gao, Jie Ding |
| 2021 | IWCMC | Improved Tabu-Search Preamble Assignment in Cell-Free Massive MIMO Systems. | Jie Ding, Dejin Kong, Daiming Qu |
| 2021 | OOPSLA | Integration of modeling and verification for system model based on KARMA language. | Jie Ding, Michel A. Reniers, Jinzhi Lu, Guoxin Wang, Lei Feng, Dimitris Kiritsis |
| 2020 | DCC | DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression. | Enmao Diao, Jie Ding, Vahid Tarokh |
| 2020 | DCC | Deep Clustering of Compressed Variational Embeddings. | Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh |
| 2020 | ICASSP | Perception-Distortion Trade-Off with Restricted Boltzmann Machines. | Chris Cannella, Jie Ding, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh |
| 2020 | ICASSP | On Harmonic Approximations of Inharmonic Signals. | Filip Elvander, Jie Ding, Andreas Jakobsson |
| 2020 | ICASSP | Supervised Encoding for Discrete Representation Learning. | Cat P. Le, Yi Zhou, Jie Ding, Vahid Tarokh |
| 2020 | ICASSP | Speech Emotion Recognition with Dual-Sequence LSTM Architecture. | Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding, Vahid Tarokh |
| 2020 | ICPR | On the Information of Feature Maps and Pruning of Deep Neural Networks. | Mohammadreza Soltani, Suya Wu, Jie Ding, Robert J. Ravier, Vahid Tarokh |
| 2020 | WCNC | Short-Range Ambient Backscatter Communication Using Reconfigurable Intelligent Surfaces. | Mahyar Nemati, Jie Ding, Jinho Choi |
| 2018 | ICASSP | A Penalized Method for the Predictive Limit of Learning. | Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh |
| 2018 | ICASSP | Evolutionary Spectra Based on the Multitaper Method with Application To Stationarity Test. | Yu Xiang, Jie Ding, Vahid Tarokh |
| 2018 | ICONIP | SATB-Nets: Training Deep Neural Networks with Segmented Asymmetric Ternary and Binary Weights. | Shuai Gao, JunMin Wu, Da Chen, Jie Ding |
| 2018 | IJCNN | Extract Generalization Ability from Convolutional Neural Networks. | Huan Wu, JunMin Wu, Jie Ding |
| 2017 | CISIS | Design and Implementation of Food Safety Traceability System Based on RFID Technology. | Jie Ding, He Xu, Peng Li, Runyu Xie |
| 2017 | ICONIP | Three-Means Ternary Quantization. | Jie Ding, JunMin Wu, Huan Wu |
| 2017 | ICTAI | Asymmetric Ternary Networks. | Jie Ding, JunMin Wu, Huan Wu |
| 2017 | ISIT | The number of independent sets in hexagonal graphs. | Zhun Deng, Jie Ding, Kathryn Heal, Vahid Tarokh |
| 2016 | APCC | Modeling and evaluating IaaS cloud using performance evaluation process algebra. | Jie Ding, Leijie Sha, Xiao Chen |
| 2016 | APCC | Performance modeling and evaluation of real-time traffic status query for intelligent traffic systems. | Jie Ding, Rui Wang, Xiao Chen |
| 2016 | APCC | Secrecy outage probability of dual-hop DF cognitive relay networks under interference constraints. | Qiqing Yang, Jie Ding, Jing Yang |
| 2016 | IDEAL | A Note on the k-NN Density Estimate. | Jie Ding, Xinshan Zhu |
| 2016 | VTC | Secrecy Outage Probability of Minimum Relay Selection in Multiple Eavesdroppers DF Cognitive Radio Networks. | Jie Ding, Qiqing Yang, Jing Yang |
| 2016 | SMC | Calculating the response time based on action flow in Stochastic Process Algebra models. | Jie Ding, Leijie Sha, Xinshan Zhu |
| 2015 | APCC | Intercept outage probability analysis of cognitive relay networks in presence of eavesdropping attack. | Jing Yang, Lei Chen, Jie Ding, Xuelong Hu, P. Takis Mathiopoulos |
| 2015 | APCC | Spectral and energy efficiency for massive MIMO multi-pair two-way relay networks with ZFR/ZFT and imperfect CSI. | Jing Yang, Hongyan Wang, Jie Ding, Bin Li, Chunxiao Li |
| 2015 | ICDM | Order Selection of Autoregressive Processes Using Bridge Criterion. | Jie Ding, Mohammad Noshad, Vahid Tarokh |
| 2015 | ICDM | Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics. | Jie Ding, Mohammad Noshad, Vahid Tarokh |
| 2015 | ISCAS | Unified approach for simulation of statistical reliability in nanoscale CMOS transistors from devices to circuits. | A. Asenov, Jie Ding, Dave Reid, Plamen Asenov, Salvatore M. Amoroso, Fikru Adamu-Lema, Louis Gerrer |
| 2015 | VTC | Energy-Efficient Distributed Beamforming in UWB Based Implant Body Area Networks. | Jie Ding, Eryk Dutkiewicz, Xiaojing Huang, Gengfa Fang |
| 2015 | VTC | Spectral and Energy Efficiency for Multi-Pair Massive MIMO Two-Way Relaying Networks with Imperfect CSI. | Hongyan Wang, Jie Ding, Jing Yang, Xiqi Gao, Zhiguo Ding |
| 2014 | ICARCV | Min-max discriminant analysis based on gradient method for feature extraction. | Jie Ding, Guoqi Li, Changyun Wen, Chin-Seng Chua |
| 2014 | WCNC | Optimal spectral efficiency for cooperative UWB based on-body area networks. | Jie Ding, Eryk Dutkiewicz, Xiaojing Huang |
| 2014 | WWW | Searching for design examples with crowdsourcing. | Nikita Spirin, Motahhare Eslami, Jie Ding, Pooja Jain, Brian P. Bailey, Karrie Karahalios |
| 2013 | GLOBECOM | Carrier frequency offset estimation for non-contiguous OFDM receiver in cognitive radio systems. | Jie Ding, Eryk Dutkiewicz, Xiaojing Huang, Daiming Qu, Tao Jiang |
| 2012 | ICASSP | Robustness of orthogonal matching pursuit for multiple measurement vectors in noisy scenario. | Jie Ding, Laming Chen, Yuantao Gu |
| 2011 | ICCE | Teacher Attitude and Preparation for Technology Innovation: A Case Study of 1: 1 Laptop Initiative. | Jie Ding, Shengquan Yu |
| 2010 | GLOBECOM | Active Subchannel Detection for Non-Contiguous OFDM-Based Cognitive Radio Systems. | Jie Ding, Daiming Qu, Xiaojun Sun, Tao Jiang, Lu Liu |
| 2010 | GLOBECOM | Coordinated User Scheduling and Power Control for Weighted Sum Throughput Maximization of Multicell Network. | Lu Liu, Daiming Qu, Tao Jiang, Jie Ding |
| 2010 | IJCNN | A Cost Function Based Single Network Adaptive Critic architecture for optimal control synthesis for a class of nonlinear systems. | Jie Ding, S. N. Balakrishnan, Frank L. Lewis |
| 1997 | ICDAR | Classification of Oriental and European Scripts by Using Characteristic Features. | Jie Ding, Louisa Lam, Ching Y. Suen |