Qiang Fu

A Few Thoughts on Code Review and Cooperative Pair Programming : Expectations, Outcomes and Challenges

2017

The paper discusses the about the improvement of mandatory code review and pair programming practiced in the commercial software development, and also proposes effective approaches to customize the code review and pair programming to avoid …

Study on the Modification on DS Theory of Evidence Based on Evidence Support Level

2019 · DEStech Transactions on Computer Science and Engineering

To avoid the unreasonable evidence theory caused by the high conflict evidence, the modification on DS Theory of Evidence (DSTE) based on evidence support level is proposed in this paper. First of all, various modifications …

Credibility Evaluation Method of Simulation System Based on Improved Evidence Theory

2020 · Proceedings of the 4th International Conference on Computer Science and Application Engineering

In order to solve the problem that it is difficult to evaluate the reliability of complex simulation system accurately, this paper proposes a credibility evaluation method of simulation system based on improved evidence theory. The …

Consensus-based Distributed Target Tracking in the Presence of Active False Targets

2021

Multi-station radar fusion of detecting and tracking targets is currently a promising research direction, especially in the presence of active false targets. However, the existing researches are mainly based on the centralized radar network. In …

Real-Time Analytics: Benefits, Limitations, and Tradeoffs

2023 · Programming and Computer Software

Abstract Real-time analytics is a relatively new branch of analytics. A common definition of real-time analytics is that it consists in analyzing data as quickly as possible over the most recent data possible. This defines …

MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm

2023 · Frontiers in Neurorobotics

Unmanned Aerial Vehicles (UAVs) have gained popularity due to their low lifecycle cost and minimal human risk, resulting in their widespread use in recent years. In the UAV swarm cooperative decision domain, multi-agent deep reinforcement …

TAROT: A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit

2024 · arXiv (Cornell University)

Person-job fit is an essential part of online recruitment platforms in serving various downstream applications like Job Search and Candidate Recommendation. Recently, pretrained large language models have further enhanced the effectiveness by leveraging richer textual …

Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination

2024 · arXiv (Cornell University)

Reaching consensus is key to multi-agent coordination. To accomplish a cooperative task, agents need to coherently select optimal joint actions to maximize the team reward. However, current cooperative multi-agent reinforcement learning (MARL) methods usually do …

Progressive prediction: Video anomaly detection via multi‐grained prediction

2024 · IET Image Processing

Abstract Video Anomaly Detection (VAD) has been an active research field for several decades. However, most existing approaches merely extract a single type of feature from videos and define a single paradigm to indicate the …

Making Large Language Models Better Reasoners with Step-Aware Verifier

2022 · arXiv (Cornell University)

Few-shot learning is a challenging task that requires language models to generalize from limited examples. Large language models like GPT-3 and PaLM have made impressive progress in this area, but they still face difficulties in …