Jie Peng

62 papers A* 12A 5Journal 37Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs.
CoRR
Zijie Liu, Jie Peng, Jinhao Duan, Zirui Liu, Kaixiong Zhou, Mingfu Liang, Luke Simon, Xi Liu, Zhaozhuo Xu, Tianlong Chen
2026 — conf
Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations.
EACL (Findings)
Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen
2026 J jnl
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures.
CoRR
Shuqing Luo, Ye Han, Pingzhi Li, Jiayin Qin, Jie Peng, Yang Zhao, Yu Cao, Tianlong Chen
2026 J jnl
NeuroCanvas: VLLM-Powered Robust Seizure Detection by Reformulating Multichannel EEG as Image.
CoRR
Yan Chen, Jie Peng, Moajjem Hossain Chowdhury, Tianlong Chen, Yunmei Liu
2026 A* conf
Vulnerability-Aware Robust Multimodal Adversarial Training.
AAAI
Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen
2025 — conf
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design.
NAACL (Long Papers)
Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen
2025 J jnl
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design.
CoRR
Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen
2025 A* conf
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving.
ICRA
Junrui Zhang, Chenjie Wang, Jie Peng, Haoyu Li, Jianmin Ji, Yu Zhang, Yanyong Zhang
2025 J jnl
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving.
CoRR
Junrui Zhang, Chenjie Wang, Jie Peng, Haoyu Li, Jianmin Ji, Yu Zhang, Yanyong Zhang
2025 J jnl
Continually Evolved Multimodal Foundation Models for Cancer Prognosis.
CoRR
Jie Peng, Shuang Zhou, Longwei Yang, Yiran Song, Mohan Zhang, Kaixiong Zhou, Feng Xie, Mingquan Lin, Rui Zhang, Tianlong Chen
2025 J jnl
Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations.
CoRR
Zijie Liu, Xinyu Zhao, Jie Peng, Zhuangdi Zhu, Qingyu Chen, Xia Hu, Tianlong Chen
2025 J jnl
GEM: 3D Gaussian Splatting for Efficient and Accurate Cryo-EM Reconstruction.
CoRR
Huaizhi Qu, Xiao Wang, Gengwei Zhang, Jie Peng, Tianlong Chen
2025 — conf
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models.
ACL (Findings)
Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen
2025 J jnl
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models.
CoRR
Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen
2025 A* conf
Glider: Global and Local Instruction-Driven Expert Router.
EMNLP
Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2025 A* conf
I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts.
ICML
Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long
2025 J jnl
I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts.
CoRR
Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long
2025 — conf
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense.
NAACL (Long Papers)
Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou
2025 J jnl
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense.
CoRR
Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Tianlong Chen, Kaixiong Zhou
2025 J jnl
Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert Signatures.
CoRR
Pingzhi Li, Morris Yu-Chao Huang, Zhen Tan, Qingquan Song, Jie Peng, Kai Zou, Yu Cheng, Kaidi Xu, Tianlong Chen
2025 J jnl
LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution.
CoRR
Zhuoran Yang, Jie Peng, Zhen Tan, Tianlong Chen, Yanyong Zhang
2025 A* conf
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing.
ICML
Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen
2025 A conf
NaviDiffuser: Tackling Multi-Objective Robot Navigation by Weight Range Guided Diffusion Model.
IROS
Xuyang Zhang, Ziyang Feng, Quecheng Qiu, Jie Peng, Haoyu Li, Jianmin Ji
2025 J jnl
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference.
CoRR
Shuqing Luo, Pingzhi Li, Jie Peng, Hanrui Wang, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025 A* conf
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference.
ICML
Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025 A* conf
RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction.
MICRO
Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao
2025 J jnl
RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction.
CoRR
Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao
2025 J jnl
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving.
CoRR
Shumin Wang, Zhuoran Yang, Lidian Wang, Zhipeng Tang, Heng Li, Lehan Pan, Sha Zhang, Jie Peng, Jianmin Ji, Yanyong Zhang
2025 — conf
Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning.
CPAL
Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen
2025 J jnl
Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs.
CoRR
Ruichen Zhang, Mufan Qiu, Zhen Tan, Mohan Zhang, Vincent Lu, Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Peter Qian, Tianlong Chen
2025 A* conf
Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach.
AAAI
Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu
2025 — conf
UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging.
ACL (Findings)
Huaizhi Qu, Xinyu Zhao, Jie Peng, Kwonjoon Lee, Behzad Dariush, Tianlong Chen
2025 J jnl
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation.
CoRR
Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal
2025 J jnl
Vulnerability-Aware Robust Multimodal Adversarial Training.
CoRR
Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen
2024 J jnl
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs.
CoRR
Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen
2024 A* conf
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts.
NeurIPS
Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
2024 J jnl
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts.
CoRR
Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
2024 J jnl
Glider: Global and Local Instruction-Driven Expert Router.
CoRR
Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2024 J jnl
HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy.
CoRR
Shuqing Luo, Jie Peng, Pingzhi Li, Tianlong Chen
2024 J jnl
Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching.
CoRR
Jie Peng, Zhang Cao, Huaizhi Qu, Zhengyu Zhang, Chang Guo, Yanyong Zhang, Zhichao Cao, Tianlong Chen
2024 A conf
LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance.
IROS
Wenhao Yu, Jie Peng, Huanyu Yang, Junrui Zhang, Yifan Duan, Jianmin Ji, Yanyong Zhang
2024 J jnl
LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance.
CoRR
Wenhao Yu, Jie Peng, Huanyu Yang, Junrui Zhang, Yifan Duan, Jianmin Ji, Yanyong Zhang
2024 J jnl
MHRC: Closed-loop Decentralized Multi-Heterogeneous Robot Collaboration with Large Language Models.
CoRR
Wenhao Yu, Jie Peng, Yueliang Ying, Sai Li, Jianmin Ji, Yanyong Zhang
2024 — conf
Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network.
ECCV (55)
Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen
2024 J jnl
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network.
CoRR
Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen
2024 A* conf
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning.
ICRA
Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji
2024 J jnl
Profiling Power Consumption in Low-Speed Autonomous Guided Vehicles.
IEEE Robotics Autom. Lett.
Jiaming Leng, Jie Peng, Jie Liu, Yu Zhang, Jianmin Ji, Yanyong Zhang
2024 J jnl
Rotation Initialization and Stepwise Refinement for Universal LiDAR Calibration.
CoRR
Yifan Duan, Xinran Zhang, Guoliang You, Yilong Wu, Xingchen Li, Yao Li, Xiaomeng Chu, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang
2024 J jnl
Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach.
CoRR
Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu
2024 J jnl
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation.
Trans. Mach. Learn. Res.
Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal
2023 A* conf
A²CoST: An ASP-based Avoidable Collision Scenario Testbench for Autonomous Vehicles.
KR
Ruolin Wang, Yuejiao Xu, Jie Peng, Jianmin Ji
2023 J jnl
Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments.
CoRR
Yu'an Chen, Quecheng Qiu, Xiangyu Liu, Guangda Chen, Shunyi Yao, Jie Peng, Jianmin Ji, Yanyong Zhang
2023 A conf
P
ICME
Guoliang You, Xiaomeng Chu, Yifan Duan, Jie Peng, Jianmin Ji, Yu Zhang, Yanyong Zhang
2023 J jnl
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CoRR
Guoliang You, Xiaomeng Chu, Yifan Duan, Jie Peng, Jianmin Ji, Yu Zhang, Yanyong Zhang
2023 J jnl
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning.
CoRR
Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji
2023 A conf
Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model.
IROS
Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Jianmin Ji, Yanyong Zhang
2023 — conf
TLP: A Deep Learning-Based Cost Model for Tensor Program Tuning.
ASPLOS (2)
Yi Zhai, Yu Zhang, Shuo Liu, Xiaomeng Chu, Jie Peng, Jianmin Ji, Yanyong Zhang
2022 A conf
PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM.
IROS
Yifan Duan, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang
2022 J jnl
PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM.
CoRR
Yifan Duan, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang
2022 J jnl
TLP: A Deep Learning-based Cost Model for Tensor Program Tuning.
CoRR
Yi Zhai, Yu Zhang, Shuo Liu, Xiaomeng Chu, Jie Peng, Jianmin Ji, Yanyong Zhang
2021 J jnl
Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model.
CoRR
Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Yanyong Zhang, Jianmin Ji
2021 A* conf
Towards an Online RRT-based Path Planning Algorithm for Ackermann-steering Vehicles.
ICRA
Jie Peng, Yu'an Chen, Yifan Duan, Yu Zhang, Jianmin Ji, Yanyong Zhang