Jie Peng

According to our database, Jie Peng authored at least 31 papers between 2021 and 2025.

Collaborative distances:

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

2025

Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving.

Shumin Wang, Zhuoran Yang, Lidian Wang, Zhipeng Tang, Heng Li, Lehan Pan, Sha Zhang, Jie Peng, Jianmin Ji, Yanyong Zhang

CoRR, April, 2025

CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving.

Junrui Zhang, Chenjie Wang, Jie Peng, Haoyu Li, Jianmin Ji, Yu Zhang, Yanyong Zhang

CoRR, April, 2025

LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution.

Zhuoran Yang, Jie Peng, Zhen Tan, Tianlong Chen, Yanyong Zhang

CoRR, April, 2025

Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design.

Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen

CoRR, April, 2025

GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models.

Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen

CoRR, March, 2025

Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs.

Ruichen Zhang, Mufan Qiu, Zhen Tan, Mohan Zhang, Vincent Lu, Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Peter Qian, Tianlong Chen

CoRR, February, 2025

Continually Evolved Multimodal Foundation Models for Cancer Prognosis.

Jie Peng, Shuang Zhou, Longwei Yang, Yiran Song, Mohan Zhang, Kaixiong Zhou, Feng Xie, Mingquan Lin, Rui Zhang, Tianlong Chen

CoRR, January, 2025

Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations.

Zijie Liu, Xinyu Zhao, Jie Peng, Zhuangdi Zhu, Qingyu Chen, Xia Hu, Tianlong Chen

CoRR, January, 2025

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense.

Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Tianlong Chen, Kaixiong Zhou

CoRR, January, 2025

Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach.

Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Profiling Power Consumption in Low-Speed Autonomous Guided Vehicles.

Jiaming Leng, Jie Peng, Jie Liu, Yu Zhang, Jianmin Ji, Yanyong Zhang

IEEE Robotics Autom. Lett., July, 2024

Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation.

Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal

Trans. Mach. Learn. Res., 2024

HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy.

Shuqing Luo, Jie Peng, Pingzhi Li, Tianlong Chen

CoRR, 2024

Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching.

Jie Peng, Zhang Cao, Huaizhi Qu, Zhengyu Zhang, Chang Guo, Yanyong Zhang, Zhichao Cao, Tianlong Chen

CoRR, 2024

Glider: Global and Local Instruction-Driven Expert Router.

Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen

CoRR, 2024

MHRC: Closed-loop Decentralized Multi-Heterogeneous Robot Collaboration with Large Language Models.

Wenhao Yu, Jie Peng, Yueliang Ying, Sai Li, Jianmin Ji, Yanyong Zhang

CoRR, 2024

DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs.

Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen

CoRR, 2024

Rotation Initialization and Stepwise Refinement for Universal LiDAR Calibration.

Yifan Duan, Xinran Zhang, Guoliang You, Yilong Wu, Xingchen Li, Yao Li, Xiaomeng Chu, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang

CoRR, 2024

Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach.

Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu

CoRR, 2024

Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts.

Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance.

Wenhao Yu, Jie Peng, Huanyu Yang, Junrui Zhang, Yifan Duan, Jianmin Ji, Yanyong Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning.

Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network.

Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments.

Yu'an Chen, Quecheng Qiu, Xiangyu Liu, Guangda Chen, Shunyi Yao, Jie Peng, Jianmin Ji, Yanyong Zhang

CoRR, 2023

A²CoST: An ASP-based Avoidable Collision Scenario Testbench for Autonomous Vehicles.

Ruolin Wang, Yuejiao Xu, Jie Peng, Jianmin Ji

Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model.

Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Jianmin Ji, Yanyong Zhang

IROS, 2023

P³O: Transferring Visual Representations for Reinforcement Learning via Prompting.

Guoliang You, Xiaomeng Chu, Yifan Duan, Jie Peng, Jianmin Ji, Yu Zhang, Yanyong Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

TLP: A Deep Learning-Based Cost Model for Tensor Program Tuning.

Yi Zhai, Yu Zhang, Shuo Liu, Xiaomeng Chu, Jie Peng, Jianmin Ji, Yanyong Zhang

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM.

Yifan Duan, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model.

Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Yanyong Zhang, Jianmin Ji

CoRR, 2021

Towards an Online RRT-based Path Planning Algorithm for Ackermann-steering Vehicles.

Jie Peng, Yu'an Chen, Yifan Duan, Yu Zhang, Jianmin Ji, Yanyong Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021