Jinlong Pang

According to our database, Jinlong Pang authored at least 27 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Small-Margin Preferences Still Matter-If You Train Them Right.

Jinlong Pang, Zhaowei Zhu, Na Di, Yichi Zhang, Yaxuan Wang, Chen Qian, Yang Liu

CoRR, February, 2026

Enhancing 3D Object Tracking via Dual-Context Propagation and Temporal Context Fusion.

Peijing Jiang, Yuanping Zhang, Jinlong Pang, Zhongjun Lin

Proceedings of the International Conference on 3D Visio, 2026

2025

ENTP: Enhancing Low-Quality SFT Data via Neural-Symbolic Text Purge-Mix.

Zile Yang, Ling Li, Na Di, Jinlong Pang, Yao Zhou, Hao Cheng, Bo Han, Jiaheng Wei

CoRR, October, 2025

Incentivizing High-quality Participation From Federated Learning Agents.

Jinlong Pang, Jiaheng Wei, Yifan Hua, Chen Qian, Yang Liu

CoRR, June, 2025

Evaluating LLM-corrupted Crowdsourcing Data Without Ground Truth.

Yichi Zhang, Jinlong Pang, Zhaowei Zhu, Yang Liu

CoRR, June, 2025

RGBT Tracking via Wavelet Transformer and Cross-Modal Adaptive Fusion.

Jinlong Pang, Yuanping Zhang, Peijing Jiang, Zhongiun Lin

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

GDMETracker: Multi-Object Tracking Through Grouped Diffusion-Based Nonlinear Motion Prediction.

Zhongjun Lin, Yuanping Zhang, Jinlong Pang, Peijing Jiang

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning.

Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LLM Unlearning via Loss Adjustment with Only Forget Data.

Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Improving Data Efficiency via Curating LLM-Driven Rating Systems.

Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Eris: An Online Auction for Scheduling Unbiased Distributed Learning Over Edge Networks.

Jinlong Pang, Ziyi Han, Ruiting Zhou, Renli Zhang, John C. S. Lui, Hao Chen

IEEE Trans. Mob. Comput., June, 2024

LLM Unlearning via Loss Adjustment with Only Forget Data.

Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei

CoRR, 2024

Improving Data Efficiency via Curating LLM-Driven Rating Systems.

Jinlong Pang, Jiaheng Wei, Ankit Parag Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

CoRR, 2024

Towards Practical Overlay Networks for Decentralized Federated Learning.

Yifan Hua, Jinlong Pang, Xiaoxue Zhang, Yi Liu, Xiaofeng Shi, Bao Wang, Yang Liu, Chen Qian

CoRR, 2024

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.

Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu

CoRR, 2024

Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach.

Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu

CoRR, 2024

Fairness without Harm: An Influence-Guided Active Sampling Approach.

Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Practical Overlay Networks for Decentralized Federated Learning.

Yifan Hua, Jinlong Pang, Xiaoxue Zhang, Yi Liu, Xiaofeng Shi, Bao Wang, Yang Liu, Chen Qian

Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

2023

DPS: Dynamic Pricing and Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks.

Ruiting Zhou, Ne Wang, Yifeng Huang, Jinlong Pang, Hao Chen

IEEE Trans. Mob. Comput., November, 2023

An Incentive Auction for Heterogeneous Client Selection in Federated Learning.

Jinlong Pang, Jieling Yu, Ruiting Zhou, John C. S. Lui

IEEE Trans. Mob. Comput., October, 2023

Online Scheduling Algorithm for Heterogeneous Distributed Machine Learning Jobs.

Ruiting Zhou, Jinlong Pang, Qin Zhang, Chuan Wu, Lei Jiao, Yi Zhong, Zongpeng Li

IEEE Trans. Cloud Comput., 2023

DVT-Tree: Dynamic Visible Topology Tree for Efficient Mapless Navigation in Maze Environments.

Yucong Zhong, Jianyi Liu, Zhiqiang Jian, Jinlong Pang, Shitao Chen, Xinhu Zheng

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Multi-risk Aware Trajectory Planning for Car-like Robot in Highly Dynamic Environments.

Ming Chen, Jianyi Liu, Jinlong Pang, Zhiqiang Jian, Pei Chen, Xinhu Zheng

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Online scheduling algorithms for unbiased distributed learning over wireless edge networks.

Jinlong Pang, Ziyi Han, Ruiting Zhou, Haisheng Tan, Yue Cao

J. Syst. Archit., 2022

Curvature Continuous Path Planning with Reverse Searching for Efficient and Precise Autonomous Parking.

Jinlong Pang, Songyi Zhang, Jiawei Fu, Jianyi Liu, Nanning Zheng

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Online Scheduling Unbiased Distributed Learning over Wireless Edge Networks.

Ziyi Han, Ruiting Zhou, Jinlong Pang, Yue Cao, Haisheng Tan

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

A Truthful Procurement Auction for Incentivizing Heterogeneous Clients in Federated Learning.

Ruiting Zhou, Jinlong Pang, Zhibo Wang, John C. S. Lui, Zongpeng Li

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021