no code implementations • 11 Apr 2025 • Michael Elrod, Niloufar Mehrabi, Rahul Amin, Manveen Kaur, Long Cheng, Jim Martin, Abolfazl Razi
Mission planning for a fleet of cooperative autonomous drones in applications that involve serving distributed target points, such as disaster response, environmental monitoring, and surveillance, is challenging, especially under partial observability, limited communication range, and uncertain environments.
no code implementations • 25 Mar 2025 • Zhongchun Zheng, Long Cheng, Lu Li, Rodrigo C. O. Rocha, Tianyi Liu, Wei Wei, Xianwei Zhang, Yaoqing Gao
Large language models (LLMs) have demonstrated great capabilities in code generation, yet their effective application in compiler optimizations remains an open challenge due to issues such as hallucinations and a lack of domain-specific reasoning.
no code implementations • 26 Feb 2025 • Long Cheng, Qichen Liao, Fan Wu, Junlin Mu, Tengfei Han, Zhe Qiu, Lianqiang Li, Tianyi Liu, Fangzheng Miao, Keming Gao, Liang Wang, Zhen Zhang, Qiande Yin
To accelerate this process, we developed a low-precision, mathematically-equivalent algorithm called PASA, based on Flash Attention.
no code implementations • 2 Jan 2025 • Yan Gu, Zhaoze Liu, Shuhong Dai, Cong Liu, Ying Wang, Shen Wang, Georgios Theodoropoulos, Long Cheng
Cloud computing has revolutionized the provisioning of computing resources, offering scalable, flexible, and on-demand services to meet the diverse requirements of modern applications.
no code implementations • 16 Oct 2024 • Lian Liu, Haimeng Ren, Long Cheng, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang
We integrate the optimized W4Ax kernel into our inference framework, COMET, and provide efficient management to support popular LLMs such as LLaMA-3-70B.
no code implementations • 30 Sep 2024 • Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Jenna Hofseth, Abolfazl Razi, Long Cheng, Manveen Kaur, James Martin, Rahul Amin
Unmanned Aerial Vehicles (UAVs) play an increasingly critical role in Intelligence, Surveillance, and Reconnaissance (ISR) missions such as border patrolling and criminal detection, thanks to their ability to access remote areas and transmit real-time imagery to processing servers.
no code implementations • 8 Aug 2024 • Yu Zhang, Yongxiang Zou, Haoyu Zhang, Zeyu Liu, Houcheng Li, Long Cheng
To enhance the precision of state estimations within the dynamic system, the paper also presents a novel modeling technique for control variables.
no code implementations • 17 Jul 2024 • Junfeng Gong, Cheng Liu, Long Cheng, Huawei Li, Xiaowei Li
Nevertheless, there is still a lack of sub-byte and mixed-precision SIMD operations in MCU-class ISA and the limited computing capability of MCUs remains underutilized, which further aggravates the computing bound encountered in neural network processing.
no code implementations • 17 Jul 2024 • Zesong Jiang, Qing Zhang, Cheng Liu, Long Cheng, Huawei Li, Xiaowei Li
Open-source EDA tools are rapidly advancing, fostering collaboration, innovation, and knowledge sharing within the EDA community.
1 code implementation • 27 May 2024 • Long Cheng, Qihao Shao, Christine Zhao, Sheng Bi, Gina-Anne Levow
Cross-lingual emotion detection allows us to analyze global trends, public opinion, and social phenomena at scale.
no code implementations • 13 May 2024 • Ebuka Okpala, Nishant Vishwamitra, Keyan Guo, Song Liao, Long Cheng, Hongxin Hu, Yongkai Wu, Xiaohong Yuan, Jeannette Wade, Sajad Khorsandroo
While capstone projects are an excellent example of experiential learning, given the interdisciplinary nature of this emerging social cybersecurity problem, it can be challenging to use them to engage non-computing students without prior knowledge of AI.
1 code implementation • 22 Dec 2023 • Nishant Vishwamitra, Keyan Guo, Farhan Tajwar Romit, Isabelle Ondracek, Long Cheng, Ziming Zhao, Hongxin Hu
HATEGUARD further achieves prompt-based zero-shot detection by automatically generating and updating detection prompts with new derogatory terms and targets in new wave samples to effectively address new waves of online hate.
no code implementations • 20 Jun 2023 • Yu Zhang, Long Cheng, Xiuze Xia, Haoyu Zhang
The proposed approach involves the estimation of full stiffness matrices from human demonstrations, which are then combined with sensed forces and motion information to create a model using the non-parametric method.
no code implementations • 2 Nov 2022 • Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo
In this paper, we propose Multi-level Multilingual Knowledge Distillation (MMKD), a novel method for improving multilingual language models.
no code implementations • 12 Oct 2022 • Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
Prior work mainly rely on fault simulation to analyze the influence of soft errors on NN processing.
no code implementations • 2 Apr 2022 • Wenxiang Li, Yuanyuan Li, Ziyuan Pu, Long Cheng, Lei Wang, Linchuan Yang
Integrating the trip data with the COPERT model, this study calculates the CO2 emissions of shared rides (ridesplitting) and their substituted single rides (regular ridesourcing) to estimate the CO2 emission reduction of each ridesplitting trip.
1 code implementation • 31 Jan 2022 • Jiaying Guo, Long Cheng, Shen Wang
Therefore, our CoTV can well balance the achievement of the reduction of travel time, fuel, and emissions.
no code implementations • 22 Dec 2021 • Nishant Vishwamitra, Hongxin Hu, Ziming Zhao, Long Cheng, Feng Luo
We then introduce a new type of multimodal adversarial attacks called decoupling attack in MUROAN that aims to compromise multimodal models by decoupling their fused modalities.
no code implementations • 7 Jul 2021 • Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
It takes the remote AIoT processor with soft errors in the training loop such that the on-site computing errors can be learned with the application data on the server and the retrained models can be resilient to the soft errors.
no code implementations • 14 Sep 2020 • Xusen Guo, Jiangfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang
Recent approaches for 3D object detection have made tremendous progresses due to the development of deep learning.