| 2026 | ASPDAC | Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration. | Stef Cuyckens, Xiaoling Yi, Robin Geens, Joren Dumoulin, Martin Wiesner, Chao Fang, Marian Verhelst |
| 2026 | ASPDAC | SnipSnap: A Joint Compression Format and Dataflow Co-Optimization Framework for Efficient Sparse LLM Accelerator Design. | Junyi Wu, Chao Fang, Zhongfeng Wang |
| 2026 | DATE | CD-PIM: A High-Bandwidth and Compute-Efficient LPDDR5-Based PIM for Low-Batch LLM Acceleration on Edge-Device. | Ye Lin, Chao Fang, Xiaoyong Song, Qi Wu, Anying Jiang, Yichuan Bai, Li Du |
| 2026 | DATE | A Scheduling Framework for Efficient MoE Inference on Edge GPU-NDP Systems. | Qi Wu, Chao Fang, Jiayuan Chen, Ye Lin, Yueqi Zhang, Yichuan Bai, Yuan Du, Li Du |
| 2026 | ISCA | $\mathrm{P}^{3}$-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats. | Yuzong Chen, Chao Fang, Xilai Dai, Yuheng Wu, Thierry Tambe, Marian Verhelst, Mohamed S. Abdelfattah |
| 2026 | ISCAS | A Compilation Framework for Domain Specific Multi-Chiplet Systems with Double-Layer Genetic Algorithms. | Qi Wu, Yichuan Bai, Chao Fang, Yuan Du, Li Du |
| 2025 | ASPDAC | Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores. | Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang |
| 2025 | GLOBECOM | Predictive Beamforming for UAV Tracking in Cell-Free Massive MIMO Systems. | Chao Fang, Wen Wang, Cheng Zhang, Pengguang Du, Yongming Huang |
| 2025 | HPCA | Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format. | Chao Fang, Man Shi, Robin Geens, Arne Symons, Zhongfeng Wang, Marian Verhelst |
| 2025 | ISLPED | Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning. | Stef Cuyckens, Xiaoling Yi, Nitish Satya Murthy, Chao Fang, Marian Verhelst |
| 2024 | ASPDAC | A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge. | Longwei Huang, Chao Fang, Qiong Li, Jun Lin, Zhongfeng Wang |
| 2024 | HPCC | Integrated Multi-dimensional Prioritization and Adaptive Transmission for Function Scheduling in Serverless Edge Computing. | Jingqiu Tian, Haoquan Qi, Yi Li, Chao Fang, Junye Qiao, Pengwei Wang |
| 2024 | ICCAD | Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment. | Yuhao Ji, Chao Fang, Shaobo Ma, Haikuo Shao, Zhongfeng Wang |
| 2024 | ISCAS | BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge. | Yuhao Ji, Chao Fang, Zhongfeng Wang |
| 2024 | ISCAS | A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. | Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin |
| 2024 | WCNC | Green Task Offloading in Computing STAR-RIS-Aided Wireless Networks. | Chao Fang, Hang Xu, Tianyi Zhang, Jining Chen, Zhuwei Wang, Qingqing Wu |
| 2024 | WACV | NVAutoNet: Fast and Accurate 360° 3D Visual Perception For Self Driving. | Trung Pham, Mehran Maghoumi, Wanli Jiang, Bala Siva Sashank Jujjavarapu, Mehdi Sajjadi, Xin Liu, Hsuan-Chu Lin, Bor-Jeng Chen, Giang Truong, Chao Fang, Junghyun Kwon, Minwoo Park |
| 2023 | AISTATS | Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. | Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao |
| 2023 | DATE | CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks. | Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang |
| 2023 | GLOBECOM | Task Partition-Based Intelligent Offloading for Cache-Assisted Cloud-Edge Cooperation Networks. | Chao Fang, Haizhen Luo, Xiaoping Yang, Haofei Xie, Fangqing Tan, Shu-Ming Tseng, Mianxiong Dong |
| 2023 | GLOBECOM | Cache-Assisted Content Delivery for NOMA-Based Satellite-Edge-Terminal Cooperation Networks. | Chao Fang, Hang Xu, Yingshan Li, Haofei Xie, Shu-Ming Tseng, Zheng Yang, Deze Zeng |
| 2023 | GLOBECOM | Exploiting Caching-at-STARS: Joint Caching Replacement and Hybrid Beamforming. | Zhaoming Hu, Ruikang Zhong, Chao Fang, Yuanwei Liu |
| 2023 | ICASSP | Bebert: Efficient And Robust Binary Ensemble Bert. | Jiayi Tian, Chao Fang, Haonan Wang, Zhongfeng Wang |
| 2023 | ISCAS | PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications. | Qiong Li, Chao Fang, Zhongfeng Wang |
| 2023 | VTC | A Novel 3D Beamforming Based Initial Access Procedure Design for Satellite IoT. | Hua-Min Chen, Sijia Li, Peng Wang, Chao Fang, Shaofu Lin, Fan Li |
| 2023 | VTC | Resource Scheduling Algorithm for Delay Sensitive Service in IoT Scenarios. | Hua-Min Chen, Xinqi Zhao, Meihui Li, Tao Chen, Chao Fang, Shoufeng Wang, Shaofu Lin, Fan Li |
| 2022 | GLOBECOM | A Novel Preamble Design for 5G Enabled LEO Non-Terrestrial Networks. | Hua-Min Chen, Peng Wang, Sijia Li, Shaofu Lin, Zhuwei Wang, Chao Fang |
| 2022 | ISCAS | An Efficient Hardware Accelerator for Sparse Transformer Neural Networks. | Chao Fang, Shouliang Guo, Wei Wu, Jun Lin, Zhongfeng Wang, Ming Kai Hsu, Lingzhi Liu |
| 2022 | QCE | Modular software for real-time quantum control systems. | Leon Riesebos, Brad Bondurant, Jacob Whitlow, Junki Kim, Mark Kuzyk, Tianyi Chen, Samuel Phiri, Ye Wang, Chao Fang, Andrew Van Horn, Jungsang Kim, Kenneth R. Brown |
| 2022 | VTC | Transmit Beamforming Designs for Secure Transmission in MISO-NOMA Networks. | Yanbo Zhang, Zheng Yang, Jingjing Cui, Yi Wu, Jun Zhang, Chao Fang, Zhiguo Ding |
| 2021 | HCI | Research on Autonomous Vehicle Delivery System Based on Service Design Theory. | Chao Fang, Lei Liu |
| 2021 | ISCAS | Accelerating 3D Convolutional Neural Networks Using 3D Fast Fourier Transform. | Chao Fang, Liulu He, Haonan Wang, Jinghe Wei, Zhongfeng Wang |
| 2020 | CVPR | Real-Time Panoptic Segmentation From Dense Detections. | Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon |
| 2020 | GLOBECOM | Optimal Navigation Control Design for Biomedical Untethered Microrobot with Network-induced Delays. | Zhuwei Wang, Qiqing Chang, Xiaojie Huang, Chao Fang, Ruizhe Yang, Enchang Sun |
| 2020 | ICPR | The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. | Chao Fang, Yutao Hu, Baochang Zhang, David S. Doermann |
| 2020 | IROS | PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. | Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard |
| 2020 | WCNC | Joint optimization of Control and Resource Management for Wireless Sensor and Actuator Networks. | Zhuwei Wang, Yuehui Guo, Yang Sun, Chao Fang, Wenjun Wu |
| 2019 | GLOBECOM | An Edge Cache-Based Content Delivery Scheme in Green Wireless Networks. | Chao Fang, Xinyan Wen, Ziyi Ling, Sheng Xu, Changtong Liu, Zhuwei Wang, Enchang Sun |
| 2019 | GLOBECOM | Optimal Control Strategy Design with Minimum Energy Consumption for Connected Vehicle Systems. | Zhuwei Wang, Yuehui Guo, Chao Fang, Meng Li, Yang Sun, Yanhua Zhang |
| 2019 | GLOBECOM | Joint Optimization of Control Law and Power Consumption for Wireless Sensor and Actuator Networks. | Zhuwei Wang, Yuehui Guo, Yu Gao, Chao Fang, Meng Li, Enchang Sun |
| 2018 | APCC | Optimal State Estimation Control Strategy of Wireless Network Control Systems with Stochastic Network-induced Delays. | Zhuwei Wang, Guangshu Xu, Chao Fang, Yu Gao, Ruizhe Yang |
| 2017 | ICTAI | A New Deep Neighbor Residual Network for Protein Secondary Structure Prediction. | Chao Fang, Yi Shang, Dong Xu |
| 2017 | WCNC | Beamforming MIMO-OFDM Systems in the Presence of Phase Noises at Millimeter-Wave Frequencies. | Xiaoming Chen, Chao Fang, Yaning Zou, Andreas Wolfgang, Tommy Svensson |
| 2017 | WiOpt | Coverage analysis for millimeter wave uplink cellular networks with partial zero-forcing receivers. | Chao Fang, Behrooz Makki, Tommy Svensson |
| 2016 | DASFAA | Parallelizing Maximal Clique Enumeration Over Graph Data. | Qun Chen, Chao Fang, Zhuo Wang, Bo Suo, Zhanhuai Li, Zachary G. Ives |
| 2015 | VTC | HARQ in Poisson Point Process-Based Heterogeneous Networks. | Chao Fang, Behrooz Makki, Yateng Hong, Xiaodong Xu, Tommy Svensson |
| 2014 | GLOBECOM | A distributed energy consumption optimization algorithm for content-centric networks via dual decomposition. | Chao Fang, F. Richard Yu, Tao Huang, Jiang Liu, Yunjie Liu |
| 2014 | INFOCOM | Energy-efficient distributed in-network caching for Content-Centric Networks. | Chao Fang, F. Richard Yu, Tao Huang, Jiang Liu, Yunjie Liu |