| 2026 | ACL | ChunQiuTR: Time-Keyed Temporal Retrieval in Classical Chinese Annals. | Yihao Wang, Zijian He, Jie Ren, Keze Wang |
| 2026 | ACL | Lifting Optimized Binaries to Canonical Compiler IR via Structure-Aware Retrieval and Iterative Verification. | Xiaoao Zhu, Jie Ren, Zhiqiang Li, Jie Zheng, Zhanyong Tang, Zheng Wang |
| 2026 | HPCA | HDPAT: Hierarchical Distributed Page Address Translation for Wafer-Scale GPUs. | Daoxuan Xu, Ying Li, Yuwei Sun, Jie Ren, Yifan Sun |
| 2026 | ISCAS | A Lightweight Die-to-Die Interconnect with Co-Scheduling Framework for Scalable Multi-Chip Inference Accelerators. | Jie Ren, Jingyang Chen, De Ma, Xiaopeng Yu, Xiaolei Zhu |
| 2026 | ICS | Mantis: Decoding HPC Telemetry Data for Robust System Prediction. | Yiyang Lu, Jie Ren, Evgenia Smirni |
| 2026 | ICS | Cheetah: Optimizing Execution Pipelines for Matrix-Free Finite Element Operators on GPUs. | Jie Ren, Hatem Ltaief, Stefano Zampini, David E. Keyes |
| 2026 | ICS | GRASP: Optimizing VLIW Instruction Scheduling via Graph Reinforcement Learning. | Zixu Wang, Weiyuan Tong, Jianbin Fang, Yao Zhang, Wei Wang, Jie Ren, Zhanyong Tang |
| 2025 | AAAI | Monitoring Primitive Interactions During the Training of DNNs. | Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang |
| 2025 | AAAI | HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection. | Zican Shi, Jing Hu, Jie Ren, Hengkang Ye, Xuyang Yuan, Yan Ouyang, Jia He, Bo Ji, Junyu Guo |
| 2025 | ACL | A General Framework to Enhance Fine-tuning-based LLM Unlearning. | Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He, Hui Liu |
| 2025 | AISTATS | Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression. | Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing |
| 2025 | APSEC | An empirical comparison of data transformation techniques for clustering-based unsupervised software defect prediction. | Zhengxiang Chen, Zhiqiang Li, Hongyu Zhang, Jie Ren, Feng Tian |
| 2025 | CSCWD | LLVMTuner: Predictive Compiler Optimization for LLVM IR Across Heterogeneous Platforms. | Xiaoao Zhu, Jie Ren, Zhiqiang Li, Feng Tian, Jie Zheng, Ling Gao |
| 2025 | CVPR | Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. | Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu |
| 2025 | EMNLP | Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. | Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang |
| 2025 | EMNLP | Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. | Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang |
| 2025 | HPCA | Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory. | Jie Ren, Bin Ma, Shuangyan Yang, Benjamin Francis, Ehsan K. Ardestani, Min Si, Dong Li |
| 2025 | ICASSP | Text-Guided Editable 3D City Scene Generation. | Yuchuan Feng, Jihang Jiang, Jie Ren, Wenrui Li, Ruotong Li, Xiaopeng Fan |
| 2025 | ICASSP | Hybrid Coding and Weakly-Supervised Approach for Depth Estimation from Wrapped Phase. | Jie Ren, Chunqian Tan, Wanzhong Song |
| 2025 | ICIS | A Better Matchmaker? The Impact of GenAI on Matching Efficiency in Online Labor Markets. | Jie Ren, Li Ding, Jiayu Yao |
| 2025 | ICLR | RRM: Robust Reward Model Training Mitigates Reward Hacking. | Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh |
| 2025 | ICLR | Revisiting Mode Connectivity in Neural Networks with Bezier Surface. | Jie Ren, Pin-Yu Chen, Ren Wang |
| 2025 | ICPP | Optimizing Direct Convolutions on High-Performance Multi-Core DSPs. | Pengyu Wang, Xiaotian Chen, Jianbin Fang, Peng Zhang, Yonggang Che, Chun Huang, Jie Ren |
| 2025 | IJCAI | Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning. | Weihang Chen, Cheng Yang, Jie Ren, Zhiqiang Li, Zheng Wang |
| 2025 | IJCNN | Global and Local CNN Attention Mechanisms for Video Summarization. | Yujie Li, Haonan Jia, Jiayi Wang, Jie Ren, Benying Tan |
| 2025 | IROS | L2Calib: SE (3)-Manifold Reinforcement Learning for Robust Extrinsic Calibration with Degenerate Motion Resilience. | Baorun Li, Chengrui Zhu, Siyi Du, Bingran Chen, Jie Ren, Wenfei Wang, Yong Liu, Jiajun Lv |
| 2025 | ICS | JBSA: A Bit-Serial Accelerator for Deep Neural Networks Using Superconducting SFQ Logic. | Yang Su, Sheng Li, Huilong Jiang, Haofei Yin, Rongliang Fu, Junying Huang, Xiaochun Ye, Zhimin Zhang, Jie Ren, Xiaoping Gao, Tsung-Yi Ho, Dongrui Fan |
| 2025 | IWQoS | StrongLive: Adaptive Offloading and Scene-Aware SR Learning for 4 K Live Streaming on Mobile. | Rongqing Liu, Yiqi Liu, Jie Ren, Ling Gao, Jie Zheng |
| 2025 | PG | Distance-Aware Tri-Perspective View for Efficient 3D Perception in Autonomous Driving. | Yutao Tang, Jigang Zhao, Zhengrui Qin, Rui Qiu, Lingying Zhao, Jie Ren, Guangxi Chen |
| 2025 | PPoPP | ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training. | Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen |
| 2025 | WCNC | Two-Stage 3D Beam Training for Wideband THz MIMO with Frequency-Dependent Beamforming. | Jiacheng Yu, Jie Ren, Ying Xiao, Ting Jiang, Ailing Xiao |
| 2025 | WWW | Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model. | Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu |
| 2025 | SC | Assessing Page Reclamation Mechanisms for Linux. | Shaochang Liu, Jie Ren |
| 2025 | SC | Constraint-Driven Auto-Tuning of GEMM-like Operators for MT-3000 Many-core Processor. | Xinxin Qi, Jianbin Fang, Peng Zhang, Yonggang Che, Jie Ren |
| 2025 | SC | Caracal: A GPU-Resident Sparse LU Solver with Lightweight Fine-Grained Scheduling. | Jie Ren, Tingxuan Zhong, Yuxi Hong, Guofeng Feng, Xincheng Wang, Weile Jia, Hatem Ltaief, David Elliot Keyes |
| 2024 | ACL | Identifying Semantic Induction Heads to Understand In-Context Learning. | Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang, Xipeng Qiu, Dahua Lin |
| 2024 | ACL | Exploring Memorization in Fine-tuned Language Models. | Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin |
| 2024 | ACL | The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). | Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang |
| 2024 | COMPSAC | Research of AI Driven Light Health and Therapy. | Xiaofei Wang, Yi Zhao, Tao Yu, Jie Ren, Huafeng Yan, Jian Song |
| 2024 | DASFAA | MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model. | Yike Wu, Jiatao Zhang, Nan Hu, Lanling Tang, Guilin Qi, Jun Shao, Jie Ren, Wei Song |
| 2024 | ECCV | Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. | Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang |
| 2024 | EMNLP | QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models. | Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh |
| 2024 | EMNLP | On the Generalization of Training-based ChatGPT Detection Methods. | Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang |
| 2024 | EuroSys | MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. | Jie Ren, Dong Xu, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li |
| 2024 | HPCA | Enabling Large Dynamic Neural Network Training with Learning-based Memory Management. | Jie Ren, Dong Xu, Shuangyan Yang, Jiacheng Zhao, Zhicheng Li, Christian Navasca, Chenxi Wang, Guoqing Harry Xu, Dong Li |
| 2024 | ICLR | Sharpness-Aware Data Poisoning Attack. | Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang |
| 2024 | ICPP | Harnessing Integrated CPU-GPU System Memory for HPC: a first look into Grace Hopper. | Gabin Schieffer, Jacob Wahlgren, Jie Ren, Jennifer Faj, Ivy Peng |
| 2024 | ICPP | Optimizing Stencil Computation on Multi-core DSPs. | Fugeng Zhu, Xinxin Qi, Peng Zhang, Jianbin Fang, Tao Tang, Yonggang Che, Kainan Yu, Jing Xie, Chun Huang, Jie Ren |
| 2024 | INFOCOM | Multi-Agent DRL-Based Deadline-Aware Routing for Deterministic Wide-Area Networks. | Jie Ren, Dong Yang, Weiting Zhang, Mingyang Chen, Hongke Zhang |
| 2024 | NAACL | A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. | Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang |
| 2024 | WACV | Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. | Yaxin Li, Jie Ren, Han Xu, Hui Liu |
| 2024 | SC | Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression. | Hatem Ltaief, Rabab Alomairy, Qinglei Cao, Jie Ren, Lotfi Slim, Thorsten Kurth, Benedikt Dorschner, Salim Bougouffa, Rached Abdelkhalak, David E. Keyes |
| 2024 | Tencon | Prediction of Radio Wave Propagation on Complex Terrains Using Deep Learning Models. | Shihao Fan, Yinghong Wen, Zhenjie Wei, Jie Ren |
| 2024 | Tencon | Research on AI Energy Management of Ultra-Speed Magnetic Levitation Flywheel Energy Storage. | Shi Xiao, Zhiyuan Tang, Jie Ren |
| 2023 | AAAI | DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. | Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian |
| 2023 | CVPR | Improving Zero-shot Generalization and Robustness of Multi-Modal Models. | Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao |
| 2023 | CVPR | Defining and Quantifying the Emergence of Sparse Concepts in DNNs. | Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang |
| 2023 | EMNLP | Improving the Robustness of Summarization Models by Detecting and Removing Input Noise. | Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu |
| 2023 | EMNLP | On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. | Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu |
| 2023 | ICLR | Out-of-Distribution Detection and Selective Generation for Conditional Language Models. | Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu |
| 2023 | ICLR | Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? | Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang |
| 2023 | ICLR | Transferable Unlearnable Examples. | Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang |
| 2023 | ICML | A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. | James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan |
| 2023 | ICML | Probabilistic Categorical Adversarial Attack and Adversarial Training. | Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang |
| 2023 | MICCAI | Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos. | Xinrui Zhou, Yuhao Huang, Wufeng Xue, Xin Yang, Yuxin Zou, Qilong Ying, Yuanji Zhang, Jia Liu, Jie Ren, Dong Ni |
| 2023 | MICRO | SUSHI: Ultra-High-Speed and Ultra-Low-Power Neuromorphic Chip Using Superconducting Single-Flux-Quantum Circuits. | Zeshi Liu, Shuo Chen, Peiyao Qu, Huanli Liu, Minghui Niu, Liliang Ying, Jie Ren, Guangming Tang, Haihang You |
| 2023 | TrustCom | Application Scenarios of Confidential Computing in Satellite Internet. | Jie Ren, Lin Lin, Miao Xue, Zelin Wang |
| 2022 | ACL | Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding. | Rui Cao, Yihao Wang, Yuxin Liang, Ling Gao, Jie Zheng, Jie Ren, Zheng Wang |
| 2022 | CSCWD | Research and Implementation of SDEN Security Service Model. | Ruixians Xia, Jun Shen, Ying Huang, Jie Ren |
| 2022 | ECCV | MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment. | Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu |
| 2022 | HPCC | Adaptive Model Selection for Video Super Resolution. | Chenge Jia, Jie Ren, Ling Gao, Zhiqiang Li, Jie Zheng, Zheng Wang |
| 2022 | ICDE | Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). | Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang |
| 2022 | ICIS | What You Know and What You Don't Know: A Discussion of Knowledge Intensity and Support Architectures in Improving Crowdsourcing Creativity. | Pinar ztrk, Yue Han, Jie Ren |
| 2022 | ICML | Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs. | Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Quanshi Zhang |
| 2022 | KDD | Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. | Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang |
| 2021 | FAST | ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory. | Kai Wu, Jie Ren, Ivy Bo Peng, Dong Li |
| 2021 | HPCA | Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning. | Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Hyeran Jeon, Dong Li |
| 2021 | ICANN | Learning to Remove: Towards Isotropic Pre-trained BERT Embedding. | Yuxin Liang, Rui Cao, Jie Zheng, Jie Ren, Ling Gao |
| 2021 | ICIG | Timeception Single Shot Action Detector: A Single-Stage Method for Temporal Action Detection. | Xiaoqiu Chen, Miao Ma, Zhuoyu Tian, Jie Ren |
| 2021 | ICLR | A Unified Approach to Interpreting and Boosting Adversarial Transferability. | Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang |
| 2021 | ICML | Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network. | Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou |
| 2021 | ICML | Interpreting and Disentangling Feature Components of Various Complexity from DNNs. | Jie Ren, Mingjie Li, Zexu Liu, Quanshi Zhang |
| 2021 | ICPADS | ATO-EDGE: Adaptive Task Offloading for Deep Learning in Resource-Constrained Edge Computing Systems. | Yihao Wang, Ling Gao, Jie Ren, Rui Cao, Hai Wang, Jie Zheng, Quanli Gao |
| 2021 | ICS | Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy. | Jie Ren, Jiaolin Luo, Ivy Bo Peng, Kai Wu, Dong Li |
| 2021 | PPoPP | Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. | Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li |
| 2021 | USENIX | ZeRO-Offload: Democratizing Billion-Scale Model Training. | Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He |
| 2020 | CHI | Understanding Window Management Interactions in AR Headset + Smartphone Interface. | Jie Ren, Yueting Weng, Chengchi Zhou, Chun Yu, Yuanchun Shi |
| 2020 | CLUSTER | Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. | Jie Ren, Kai Wu, Dong Li |
| 2020 | CogSci | Events Structure Information Accessibility Less in Children than Adults. | Jie Ren, Erika Wharton-Shukster, Katherine Duncan, Amy Sue Finn |
| 2020 | ICLR | Interpretable Complex-Valued Neural Networks for Privacy Protection. | Liyao Xiang, Hao Zhang, Haotian Ma, Yifan Zhang, Jie Ren, Quanshi Zhang |
| 2020 | INFOCOM | Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions. | Jie Ren, Lu Yuan, Petteri Nurmi, Xiaoming Wang, Miao Ma, Ling Gao, Zhanyong Tang, Jie Zheng, Zheng Wang |
| 2020 | KDD | Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks. | Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen |
| 2020 | VTC | Adaptive Sampling for the Optimal Signal Reconstruction of Vehicle Telematics. | Jie Ren, Yong Li, Kan Tang, Shuai Sun, Xuewei Wang, Chiaruei Liu |
| 2019 | ICASSP | A Deep Neural Network Based Maneuvering-target Tracking Algorithm. | Jingxian Liu, Zulin Wang, Mai Xu, Jie Ren |
| 2019 | ICASSP | Unsupervised User Clustering in Non-orthogonal Multiple Access. | Jie Ren, Zulin Wang, Mai Xu, Fang Fang, Zhiguo Ding |
| 2019 | ICCV | Explaining Neural Networks Semantically and Quantitatively. | Runjin Chen, Hao Chen, Ge Huang, Jie Ren, Quanshi Zhang |
| 2019 | ISMAR | Multi-vehicle Cooperative Military Training Simulation System Based on Augmented Reality. | Lei Fan, Jing Chen, Yuandong Miao, Jie Ren, Yongtian Wang |
| 2019 | WCNC | Using Deep Convolutional Neural Network to Recognize LTE Uplink Interference. | Jie Ren, Xin Zhang, Yan Xin |
| 2019 | UIC | Discriminant Subspace Alignment for Cross-Project Defect Prediction. | Zhiqiang Li, Chao Qi, Li Zhang, Jie Ren |
| 2018 | CoNEXT | Proteus: network-aware web browsing on heterogeneous mobile systems. | Jie Ren, Xiaoming Wang, Jianbin Fang, Yansong Feng, Dongxiao Zhu, Zhunchen Luo, Jie Zheng, Zheng Wang |
| 2018 | ISPA | To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. | Qing Qin, Jie Ren, Jialong Yu, Hai Wang, Ling Gao, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang |
| 2018 | SC | Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory. | Jie Ren, Kai Wu, Dong Li |
| 2018 | SC | Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs. | Kai Wu, Jie Ren, Dong Li |
| 2018 | UIC | A QoE-Based Governor for Web Browsing on Heterogeneous Mobile Systems. | Jie Ren |
| 2017 | CogSci | Interpreting Asymmetric Perception in Speech Perception with Bayesian Inference. | Jie Ren, Joseph L. Austerweil |
| 2017 | DCC | An End-to-End Compression Framework Based on Convolutional Neural Networks. | Wen Tao, Feng Jiang, Shengping Zhang, Jie Ren, Wuzhen Shi, Wangmeng Zuo, Xun Guo, Debin Zhao |
| 2017 | ICIS | Exploring the Role of Learning in Crowdsourcing Creativity: The Value of Idea-Building in the Crowd. | Jie Ren, Yue Han, William Yeoh, Yegin Genc |
| 2017 | INFOCOM | Optimise web browsing on heterogeneous mobile platforms: A machine learning based approach. | Jie Ren, Ling Gao, Hai Wang, Zheng Wang |
| 2016 | DCC | Interactive Quantization for Extremum Computation in Collocated Networks. | Solmaz Torabi, Jie Ren, John MacLaren Walsh |
| 2016 | ICCS | Supersonic Airfoil Shape Optimization by Variable-fidelity Models and Manifold Mapping. | Jacob Siegler, Jie Ren, Leifur Leifsson, Slawomir Koziel, Adrian Bekasiewicz |
| 2016 | ICIS | Remembering Beauty or Artifacts? Empirical Investigation of Mobile Photo Evaluation. | Dobin Yim, Tim Malefyt, Jie Ren |
| 2016 | IGARSS | Simulation of SAR images of submarine wakes. | Jie Ren, Junfeng Wang |
| 2016 | ISIT | Practical interactive scheme for extremum computation in distributed networks. | Solmaz Torabi, Jie Ren, John MacLaren Walsh |
| 2014 | CISS | Interactive communication for resource allocation. | Jie Ren, John MacLaren Walsh |
| 2014 | VCIP | Patch-based image deblocking using geodesic distance weighted low-rank approximation. | Mading Li, Jiaying Liu, Jie Ren, Zongming Guo |
| 2013 | DCC | Image Blocking Artifacts Reduction via Patch Clustering and Low-Rank Minimization. | Jie Ren, Jiaying Liu, Mading Li, Wei Bai, Zongming Guo |
| 2013 | ICASSP | Postprocessing of block-coded videos for deflicker and deblocking. | Jie Ren, Jiaying Liu, Mading Li, Zongming Guo |
| 2013 | ISCAS | Adaptive general scale interpolation based on similar pixels weighting. | Mading Li, Jiaying Liu, Jie Ren, Zongming Guo |
| 2013 | VCIP | Image super resolution using saliency-modulated context-aware sparse decomposition. | Wei Bai, Saboya Yang, Jiaying Liu, Jie Ren, Zongming Guo |
| 2012 | ICASSP | Nonlocal based Super Resolution with rotation invariance and search window relocation. | Yue Zhuo, Jiaying Liu, Jie Ren, Zongming Guo |
| 2012 | ICIP | Pruning phantom detections from multiview foreground intersection. | Jie Ren, Ming Xu, Jeremy S. Smith |
| 2012 | ICIP | Illumination-invariant non-local means based video denoising. | Jie Ren, Yue Zhuo, Jiaying Liu, Zongming Guo |
| 2012 | ICPR | Image super-resolution by structural sparse coding. | Jie Ren, Jiaying Liu, Mengyan Wang, Zongming Guo |
| 2012 | ISCAS | Visual-weighted motion compensation frame interpolation with motion vector refinement. | Wei Bai, Jiaying Liu, Jie Ren, Zongming Guo |
| 2012 | RECOMB | Alignment-Free Sequence Comparison Based on Next Generation Sequencing Reads: Extended Abstract. | Kai Song, Jie Ren, Zhiyuan Zhai, Xuemei Liu, Minghua Deng, Fengzhu Sun |
| 2012 | SMC | A colour statistical approach to phantom pruning in multi-view detection. | Jie Ren, Ming Xu, Jeremy S. Smith |
| 2012 | SMC | Cast shadow removal in motion detection by exploiting multiview geometry. | Ming Xu, Lei Lu, Tianyuan Jia, Jie Ren, Jeremy S. Smith |
| 2011 | ACSSC | Self-optimized MIMO-OFDMA: A Nash-Stackelberg game-theoretic approach. | Jie Ren, Jianjun Hou, Kai-Kit Wong |
| 2011 | ICIG | A Multiview Approach to Robust Detection in the Presence of Cast Shadows. | Ming Xu, Jie Ren, Dongyong Chen, Jeremy S. Smith, Zhechi Liu |
| 2011 | ICIP | Similarity modulated block estimation for image interpolation. | Jie Ren, Jiaying Liu, Wei Bai, Zongming Guo |
| 2011 | ICIP | Real-time detection via homography mapping of foreground polygons from multiple cameras. | Ming Xu, Jie Ren, Dongyong Chen, Jeremy S. Smith, Guifen Wang |
| 2010 | ISNN | Interval Fitness Interactive Genetic Algorithms with Variational Population Size Based on Semi-supervised Learning. | Xiaoyan Sun, Jie Ren, Dunwei Gong |
| 2006 | SOUPS | Seeing further: extending visualization as a basis for usable security. | Jennifer Ann Rode, Carolina Johansson, Paul DiGioia, Roberto Silveira Silva Filho, Kari Nies, David H. Nguyen, Jie Ren, Paul Dourish, David F. Redmiles |
| 2005 | ICSE | Towards an architectural treatment of software security: a connector-centric approach. | Jie Ren, Richard N. Taylor, Paul Dourish, David F. Redmiles |
| 2005 | SOUPS | Two experiences designing for effective security. | Rogrio de Paula, Xianghua Ding, Paul Dourish, Kari Nies, Ben Pillet, David F. Redmiles, Jie Ren, Jennifer Ann Rode, Roberto Silveira Silva Filho |
| 2003 | SEKE | Visualizing Software Architecture with Off-The-Shelf Components. | Jie Ren, Richard N. Taylor |