Jiancheng Liu

According to our database, Jiancheng Liu authored at least 40 papers between 2000 and 2026.

Collaborative distances:

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

2026

Beyond LDP-FL: Independent Uplink-Downlink Privacy Protection in Federated Learning.

Dongrun Li, Yun Zeng, Faguo Wu, Jiancheng Liu, Qinnan Zhang, Binghui Guo, Xiao Zhang, Zhiming Zheng

IEEE Trans. Netw. Sci. Eng., 2026

Hierarchical reinforcement learning with kill chain-informed multi-objective optimization to enhance resilience in autonomous unmanned swarm.

Yingdong Gou, Siwen Wei, Kai Xu, Jiancheng Liu, Ke Li, Bo Li, Zaikun Han, Xin Lai, Yuqing Lin, Dingrui Xue, Kexin Wang

Neural Networks, 2026

Highly Stable and Switchable Dual-Wavelength Single Longitudinal Mode Thulium-Doped Fiber Laser Based on a Saturable Absorber.

Jiancheng Liu

Proceedings of the 27th International Conference on Advanced Communications Technology, 2026

2025

Turbid image restoration based on optimization via turbidity evaluator model.

Chaoqi Chen, Xiuzhan Zhang, Haosu Zhang, Jiancheng Liu, Hao Li

Signal Image Video Process., December, 2025

Unified multi-agent recovery framework via multi-scale diffusion and dependency-aware hierarchical PPO for resilience enhancement.

Ke Li, Yuqing Lin, Xiaolong Su, Aifeng Liu, Jiancheng Liu, Wanlong Qi, Longqiang Ni, Kai Xu, Dingrui Xue, Kexin Wang

J. Big Data, December, 2025

MPD-RL: Meta-path-driven reinforcement learning for enhancing resilience in unmanned weapon system-of-systems.

Zaikun Han, Siwen Wei, Dingrui Xue, Yuqing Lin, Ke Li, Jiancheng Liu, Xingye Han, Gang Hou, Junxiong Ye, Kexin Wang

J. Supercomput., June, 2025

Meta-path-guided causal inference for hierarchical feature alignment and policy optimization in enhancing resilience of UWSoS.

Kexin Wang, Dingrui Xue, Yingdong Gou, Wanlong Qi, Bo Li, Jiancheng Liu, Yinglong Feng, Yuqing Lin

J. Supercomput., January, 2025

Dual-timescale hierarchical MADDPG for Multi-UAV cooperative search.

Jiancheng Liu, Siwen Wei, Bo Li, Tuo Wang, Wanlong Qi, Xingye Han, Gang Hou, Ke Li, Yuqing Lin, Dingrui Xue, Kexin Wang

J. King Saud Univ. Comput. Inf. Sci., 2025

Leveraging hierarchical temporal importance sampling and adaptive noise modulation to enhance resilience in multi-agent task execution systems.

Dingrui Xue, Yuqing Lin, Siwen Wei, Zhipeng Zhang, Wanlong Qi, Jiancheng Liu, Kang Sun, Jiangying Si, Kai Xu, Jiangfeng Hu, Xin Lai, Kexin Wang

Neurocomputing, 2025

ASL-OOD: Hierarchical Contextual Feature Fusion with Angle-Sensitive Loss for Oriented Object Detection.

Tuo Wang, Zhipeng Zhang, Wanlong Qi, Xingye Han, Kexin Wang, Jiancheng Liu, Yuqing Lin, Runyuan Wen

Comput. Mater. Continua, 2025

Can Adversarial Examples be Parsed to Reveal Victim Model Information?

Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

The Reflux Regulation Methodology of Adapting Transiently-Varying Grounding Impedance for High-Speed Trains Based on Adjustable Resistance Technique.

Ye Cao, Song Xiao, Guangning Wu, Guoqiang Gao, Yujun Guo, Baoqiang Zhang, Jiancheng Liu, Xueqin Zhang, Zijing Wang, Pupu Li, Puyang Liu, Yuhui Zhang, Jie Yu

IEEE Trans. Veh. Technol., September, 2024

Influence of environmental pollution and bacterial hyper-infectivity on dynamics of a waterborne pathogen model with free boundaries.

Meng Zhao, Jiancheng Liu, Yindi Zhang

Networks Heterog. Media, 2024

Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks.

Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu

Found. Trends Priv. Secur., 2024

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification.

Changchang Sun, Ren Wang, Yihua Zhang, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Sijia Liu, Yan Yan

CoRR, 2024

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning.

Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

CoRR, 2024

Towards Universal Mesh Movement Networks.

Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott

CoRR, 2024

Label Smoothing Improves Machine Unlearning.

Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu

CoRR, 2024

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models.

Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu

CoRR, 2024

Resilience Augmentation in Unmanned Weapon Systems via Multi-Layer Attention Graph Convolutional Neural Networks.

Kexin Wang, Yingdong Gou, Dingrui Xue, Jiancheng Liu, Wanlong Qi, Gang Hou, Bo Li

Comput. Mater. Continua, 2024

Towards Universal Mesh Movement Networks.

Mingrui Zhang, Chunyang Wang, Stephan C. Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott

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

UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models.

Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Kompella, Xiaoming Liu, Sijia Liu

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

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.

Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu

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

WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models.

Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu

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

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.

Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training.

Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning.

Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now.

Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning.

Chongyu Fan, Jiancheng Liu, Alfred Olivier Hero, Sijia Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A joint denoising and deep learning detector for OFDM-IM.

Sirui Duan, Jiancheng Liu, Yucai Pang, Xiang Yu, Chao Wu

IET Commun., August, 2023

Model Sparsification Can Simplify Machine Unlearning.

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

CoRR, 2023

Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.

Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Sparsity Can Simplify Machine Unlearning.

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Complex Locomotion Skill Learning via Differentiable Physics.

Yu Fang, Jiancheng Liu, Mingrui Zhang, Jiasheng Zhang, Yidong Ma, Minchen Li, Yuanming Hu, Chenfanfu Jiang, Tiantian Liu

CoRR, 2022

2020

A Content-Based Deep Hybrid Approach with Segmented Max-Pooling.

Dapeng Zhang, Liu Yajun, Jiancheng Liu

Proceedings of the Intelligent Information Processing X, 2020

2019

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics.

Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik

Proceedings of the International Conference on Robotics and Automation, 2019

2017

Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization.

Xi Chen, Erjin Zhou, Yuchen Mo, Jiancheng Liu, Zhimin Cao

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Impacts of Attenuators on Analog Self-Interference Cancellation in Full Duplex Radios.

Hongzhi Zhao, Jiancheng Liu, Jun Wang, Wenbo Guo, Youxi Tang

Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2008

Learning TSK Fuzzy Model by GA-BP Method.

Jiancheng Liu, Xinhua Jiang, Baohua Lan

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

2000

Recognition of machining features and feature topologies from NC programs.

Xiren Yan, Kazuo Yamazaki, Jiancheng Liu

Comput. Aided Des., 2000