| 2026 | AAAI | MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation. | Yaoxiu Lian, Hao Liang, Zhihong Gou, Yijia Zhang, Jiaming Xu, Guohao Dai, Ningyi Xu |
| 2026 | AAAI | A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis. | Wenxuan Mu, Jinzhong Ning, Di Zhao, Yijia Zhang |
| 2026 | ACL | E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition. | Meng Zhang, Jinzhong Ning, Xiaolong Wu, Hongfei Lin, Yijia Zhang |
| 2026 | ASPDAC | ROMA: A Read-Only-Memory-based Accelerator for QLoRA-based On-Device LLM. | Wenqiang Wang, Yijia Zhang, Zikai Zhang, Guanting Huo, Hao Liang, Shijie Cao, Ningyi Xu |
| 2026 | DATE | RAMP: RTL-Level Emulation with Thousand-Core-Scale Parallelism. | Weigang Feng, Yijia Zhang, Zekun Wang, Zhengyang Wang, Yi Wang, Peijun Ma, Ningyi Xu |
| 2026 | WWW | SeaRAG: Reducing Hallucination in Retrieval-Augmented Generation via Statement-Entity Adaptive Ranking. | Xiaosong Yuan, Xiaofeng Zhang, Di Zhao, Yijia Zhang, Ying Wang |
| 2025 | ASPLOS | Using Analytical Performance/Power Model and Fine-Grained DVFS to Enhance AI Accelerator Energy Efficiency. | Zibo Wang, Yijia Zhang, Fuchun Wei, Bingqiang Wang, Yanlin Liu, Zhiheng Hu, Jingyi Zhang, Xiaoxin Xu, Jian He, Xiaoliang Wang, Wanchun Dou, Guihai Chen, Chen Tian |
| 2025 | ECAI | LoRA Decompose: Serving Fine-Tuned Models into LoRA-Like. | Yibo Han, Tangzhi Xu, Zenan Li, Yijia Zhang, Youshan Miao, Yuan Yao, Ningyi Xu |
| 2025 | ICA3PP | CoDVFS: Improving the Energy Efficiency of AI Servers Through Coordinated DVFS. | Yijia Zhang, Baoqing Wang, Shixin Zhang, Qiang Wang |
| 2025 | ICA3PP | Improving the Energy Efficiency of AI Clusters Through Variability-Aware Frequency Scaling and Task Allocation. | Yijia Zhang, Dongxiang Zhang, Bingqiang Wang, Qiang Wang, Shixun Zhang |
| 2025 | ICPADS | AUE: A Normalized Energy Efficiency Metric for AI Servers Under LLM Workloads. | Yijia Zhang, Dongxiang Zhang, Xianglin Liu, Qiang Wang, Bingqiang Wang, Shixun Zhang, Yonghong Tian |
| 2025 | IJCAI | RRG-Mamba: Efficient Radiology Report Generation with State Space Model. | Xiaodi Hou, Xiaobo Li, Mingyu Lu, Simiao Wang, Yijia Zhang |
| 2025 | ISCAS | Characterisation and Data-driven Modelling of Memimpedance. | Guoyang Huang, Yijia Zhang, Deepika Yadav, Yanzhen He, Alexander Serb, Shiwei Wang, Themis Prodromakis |
| 2024 | ACL | BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. | Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu |
| 2024 | ACL | AFPQ: Asymmetric Floating Point Quantization for LLMs. | Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu |
| 2024 | ADMA | A Differential Privacy Federated Learning Approach for Diabetic Retinopathy Detection. | Yicheng Li, Yijia Zhang, Guantong Liu, Mingyu Lu |
| 2024 | EMNLP | CharacterGLM: Customizing Social Characters with Large Language Models. | Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | EuroSys | Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance. | Yijia Zhang, Qiang Wang, Zhe Lin, Pengxiang Xu, Bingqiang Wang |
| 2024 | ICASSP | UAV Operation Time Minimization for Wireless-Powered Data Collection. | Yijia Zhang, Deepak Mishra, Hassan Habibi Gharakheili, Derrick Wing Kwan Ng |
| 2024 | IWQoS | DSO: A GPU Energy Efficiency Optimizer by Fusing Dynamic and Static Information. | Qiang Wang, Laiyi Li, Weile Luo, Yijia Zhang, Bingqiang Wang |
| 2024 | PIMRC | Age of Information Minimization in QoS-Aware UAV-assisted Wireless-Powered Data Collection. | Yijia Zhang, Deepak Mishra |
| 2024 | PIMRC | Energy-Efficient UAV-Relayed High-altitude Platform to Ground User Communication. | Yijia Zhang, Deepak Mishra |
| 2023 | ECAI | Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. | Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu |
| 2023 | IGARSS | First Result of Lutan-1 Space-Surface Bistatic SAR Interferometry. | Yijia Zhang, Yuanhao Li, Zhiyang Chen, Xingzhe Zhao, Yanyang Liu, Cheng Hu |
| 2023 | IJCNN | TC-GAT: Graph Attention Network for Temporal Causality Discovery. | Xiaosong Yuan, Ke Chen, Wanli Zuo, Yijia Zhang |
| 2023 | PAKDD | DKFM: Dual Knowledge-Guided Fusion Model for Drug Recommendation. | Yankai Tian, Yijia Zhang, Xingwang Li, Mingyu Lu |
| 2023 | PAKDD | The Causal Strength Bank: A New Benchmark for Causal Strength Classification. | Xiaosong Yuan, Renchu Guan, Wanli Zuo, Yijia Zhang |
| 2021 | DATE | A Data Center Demand Response Policy for Real-World Workload Scenarios in HPC. | Yijia Zhang, Daniel C. Wilson, Ioannis Ch. Paschalidis, Ayse K. Coskun |
| 2020 | CLUSTER | Quantifying the impact of network congestion on application performance and network metrics. | Yijia Zhang, Taylor L. Groves, Brandon Cook, Nicholas J. Wright, Ayse K. Coskun |
| 2019 | ICPP | HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations. | Emre Ates, Yijia Zhang, Burak Aksar, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun |
| 2018 | KSEM | Social Bayesian Personal Ranking for Missing Data in Implicit Feedback Recommendation. | Yijia Zhang, Wanli Zuo, Zhenkun Shi, Lin Yue, Shining Liang |
| 2017 | SC | An empirical survey of performance and energy efficiency variation on Intel processors. | Aniruddha Marathe, Yijia Zhang, Grayson Blanks, Nirmal Kumbhare, Ghaleb Abdulla, Barry Rountree |