Jiantao Qiu

Orcid: 0000-0002-1328-2639

According to our database1, Jiantao Qiu authored at least 31 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification.
CoRR, June, 2025

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning.
CoRR, June, 2025

Not All Documents Are What You Need for Extracting Instruction Tuning Data.
CoRR, May, 2025

Unsupervised Topic Models are Data Mixers for Pre-training Language Models.
CoRR, February, 2025

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages.
CoRR, January, 2025

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.
CoRR, 2024

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.
CoRR, 2024

InternLM2 Technical Report.
CoRR, 2024

WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset.
CoRR, 2024

2023
WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models.
CoRR, 2023

2022
INCAME: Interruptible CNN Accelerator for Multirobot Exploration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment.
CoRR, 2022

A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Multi-UAV Disaster Environment Coverage Planning with Limited-Endurance.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator.
IEEE Access, 2021

2020
DNNVM: End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-Based CNN Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

INCAME: INterruptible CNN Accelerator for Multi-robot Exploration.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
DNNVM: End-to-End Compiler Leveraging Operation Fusion on FPGA-based CNN Accelerators.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018
Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA.
ACM Trans. Reconfigurable Technol. Syst., 2018

Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Real-time object detection towards high power efficiency.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA.
Proceedings of the International Conference on Field Programmable Technology, 2017

2016
Angel-Eye: A Complete Design Flow for Mapping CNN onto Customized Hardware.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016

From model to FPGA: Software-hardware co-design for efficient neural network acceleration.
Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network.
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016


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