Search Results for author: Long Cheng

Found 20 papers, 3 papers with code

Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation

no code implementations11 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.

Deep Reinforcement Learning Disaster Response +1

VecTrans: LLM Transformation Framework for Better Auto-vectorization on High-performance CPU

no code implementations25 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.

Code Generation

Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review

no code implementations2 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.

Cloud Computing Deep Reinforcement Learning +2

COMET: Towards Partical W4A4KV4 LLMs Serving

no code implementations16 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.

Quantization Scheduling

Adaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments

no code implementations30 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.

Deep Reinforcement Learning Moving Object Detection +2

Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics

no code implementations8 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.

Mamba State Space Models +1

MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs

no code implementations17 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.

Neural Architecture Search Quantization

IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA

no code implementations17 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.

Script Generation

AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab

no code implementations13 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.

Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models

1 code implementation22 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.

Learning Variable Impedance Skills from Demonstrations with Passivity Guarantee

no code implementations20 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.

Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model

no code implementations2 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.

Knowledge Distillation Language Modeling +3

Statistical Modeling of Soft Error Influence on Neural Networks

no code implementations12 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.

Quantization

Revealing the CO2 emission reduction of ridesplitting and its determinants based on real-world data

no code implementations2 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.

Interpretable Machine Learning

Understanding and Measuring Robustness of Multimodal Learning

no code implementations22 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.

Adversarial Robustness

R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors

no code implementations7 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.

3D Object Detection and Tracking Based on Streaming Data

no code implementations14 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.

3D Object Detection Object +2

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