| 2026 | ACL | I²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck. | Huilin Deng, Hongchen Luo, Yue Zhu, Long Li, Zhuoyue Chen, Xinghao Zhao, Ming Li, Chuyang Zhao, Jihai Zhang, Mengchang Wang, Yang Cao, Yu Kang |
| 2025 | ACL | Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent. | Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong |
| 2025 | CIKM | Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models. | Dayan Pan, Zhaoyang Fu, Jingyuan Wang, Xiao Han, Yue Zhu, Xiangyu Zhao |
| 2025 | HCI | All Goes Well: A Self-healing Service Design Study by Creating Bracelets for Young Chinese People. | Peiyuan Ge, Jiahe Wu, Yihan Zhang, Jie Yang, Yue Zhu, Xuechen Li, Haipeng Duan, Wenhao Jiang, Yunsheng Su |
| 2025 | ICASSP | KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification. | Yue Zhu, Haiwen Diao, Shang Gao, Long Chen, Huchuan Lu |
| 2025 | IJCNN | AMDWA: An Adaptive Multi-Dimensional Weight Adjustment Method for Fake News Detection. | Yue Zhu, Lin Shen, Yubin Sheng, Yao Xiao, Zuping Zhang |
| 2025 | INDIN | Lightweight Multi-Scale Crop Classification Network with Dense Dilated Convolutions. | TianYu Ren, QingQing Hong, Wei Liu, Yue Zhu |
| 2025 | ISCAS | A Frequency-Domain Transfer Model for Predicting FM Error of FMCW Radar Chirp Generators. | Yue Zhu, Kaige Wang, Dalin Li, Chunqi Shi, Leilei Huang, Runxi Zhang, Hao Deng, Jinghong Chen |
| 2025 | VTC | Attention-Based Augmented Reinforcement Learning Algorithm for Multi-UAV Navigation. | Hang Lin, Fei Wang, Yue Zhu, Shuo Wang, Pan Gao, Lijuan Zhang |
| 2025 | WWW | RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems. | Luyu Chen, Quanyu Dai, Zeyu Zhang, Xueyang Feng, Mingyu Zhang, Pengcheng Tang, Xu Chen, Yue Zhu, Zhenhua Dong |
| 2025 | SC | FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention. | Huangliang Dai, Shixun Wu, Jiajun Huang, Zizhe Jian, Yue Zhu, Haiyang Hu, Zizhong Chen |
| 2025 | SC | TurboFNO: High-Performance Fourier Neural Operator with Fused FFT-GEMM-iFFT on GPU. | Shixun Wu, Yujia Zhai, Huangliang Dai, Yue Zhu, Haiyang Hu, Zizhong Chen |
| 2024 | HIC | TangibleNegotiation: Probing Design Opportunities for Integration of Generative AI and Swarm Robotics for Imagination Cultivation in Child Art Education. | Yue Zhu, Zhiyuan Zhou, Jinlin Miao, Haipeng Mi, Yijie Guo |
| 2024 | IECON | Admittance Margin: A Guideline for Placement of Grid-Following and Grid-Forming Inverters Regarding Small-Signal Stability. | Andreas Hadjileonidas, Yue Zhu, Timothy C. Green |
| 2024 | MASCOTS | Optimizing GPU Multiplexing for Efficient and Cost-Effective Access to Diverse Large Language Models in GPU Clusters. | Yue Zhu, Chen Wang, Max Calman, Rina Nakazawa, Eun Kyung Lee |
| 2023 | ICCV | H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. | Yue Zhu, Nermin Samet, David Picard |
| 2023 | KDD | On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. | Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu |
| 2022 | ACCV | Decanus to Legatus: Synthetic Training for 2D-3D Human Pose Lifting. | Yue Zhu, David Picard |
| 2022 | SIGIR | An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. | Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo |
| 2022 | SENSYS | Motion-Powered Gameboy. | Yue Zhu, Xin Li, Junrui Liang |
| 2021 | IJCNN | Efficient Adversarial Defense without Adversarial Training: A Batch Normalization Approach. | Yao Zhu, Xiao Wei, Yue Zhu |
| 2020 | SC | Emulating I/O Behavior in Scientific Workflows on High Performance Computing Systems. | Fahim Chowdhury, Yue Zhu, Francesco Di Natale, Adam Moody, Elsa Gonsiorowski, Kathryn Mohror, Weikuan Yu |
| 2019 | CLUSTER | Efficient User-Level Storage Disaggregation for Deep Learning. | Yue Zhu, Weikuan Yu, Bing Jiao, Kathryn Mohror, Adam Moody, Fahim Chowdhury |
| 2019 | ICIP | Gait Energy Image Restoration Using Generative Adversarial Networks. | Maryam Babaee, Yue Zhu, Okan Kpkl, Stefan Hrmann, Gerhard Rigoll |
| 2019 | ICPP | I/O Characterization and Performance Evaluation of BeeGFS for Deep Learning. | Fahim Chowdhury, Yue Zhu, Todd Heer, Saul Paredes, Adam Moody, Robin Goldstone, Kathryn Mohror, Weikuan Yu |
| 2019 | IECON | The Resonant Modular Multilevel DC Converters for High Step-ratio and Low Step-ratio Interconnection in MVDC Distribution Network. | Xin Xiang, Xiaotian Zhang, Yue Zhu, Geraint P. Chaffey, Yunjie Gu, Timothy C. Green |
| 2018 | HPDC | Direct-FUSE: Removing the Middleman for High-Performance FUSE File System Support. | Yue Zhu, Teng Wang, Kathryn Mohror, Adam Moody, Kento Sato, Muhib Khan, Weikuan Yu |
| 2018 | ICCD | Characterizing 3D Charge Trap NAND Flash: Observations, Analyses and Applications. | Fei Wu, Yue Zhu, Qin Xiong, Zhonghai Lu, You Zhou, Weizhen Kong, Changsheng Xie |
| 2018 | KDD | Isolation Kernel and Its Effect on SVM. | Kai Ming Ting, Yue Zhu, Zhi-Hua Zhou |
| 2018 | MASCOTS | Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems. | Yue Zhu, Fahim Chowdhury, Huansong Fu, Adam Moody, Kathryn Mohror, Kento Sato, Weikuan Yu |
| 2017 | AAAI | Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning. | Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2017 | ICDM | New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning. | Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2017 | SIGMETRICS | Characterizing 3D Floating Gate NAND Flash. | Qin Xiong, Fei Wu, Zhonghai Lu, Yue Zhu, You Zhou, Yibing Chu, Changsheng Xie, Ping Huang |
| 2016 | ICDM | Multi-label Learning with Emerging New Labels. | Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2016 | KDD | Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. | Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou |
| 2015 | ACML | One-Pass Multi-View Learning. | Yue Zhu, Wei Gao, Zhi-Hua Zhou |
| 2015 | ICCE | University Students' Attitude Changes Toward Online Learning And Course Participation In A Blended Course. | Yue Zhu, Wing Au, Gregory C. R. Yates |
| 2015 | SC | A case study of MapReduce speculation for failure recovery. | Huansong Fu, Yue Zhu, Weikuan Yu |
| 2014 | ACML | Learning with Augmented Multi-Instance View. | Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou |
| 2012 | ICCE | Students' self-control and learning outcome in a university blended course. | Yue Zhu, Wing Au, Gregory C. R. Yates |
| 2011 | ISNN | Sliding Mode Prediction Based Tracking Control for Discrete-time Nonlinear Systems. | Lingfei Xiao, Yue Zhu |
| 2009 | ISNN | Finite Element Model Updating Based on Least Squares Support Vector Machines. | Yue Zhu, Lingmi Zhang |