Peng, Jie

18 publications

ICML 2025 $\texttt{I}$^2$MoE$: Interpretable Multimodal Interaction-Aware Mixture-of-Experts Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long

ICML 2025 Circumventing Backdoor Space via Weight Symmetry Jie Peng, Hongwei Yang, Jing Zhao, Hengji Dong, Hui He, Weizhe Zhang, Haoyu He

ICLRW 2025 DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs Zhen Tan, Daize Dong, Xinyu Zhao, Jianing Cai, Jie Peng, Yu Cheng, Tianlong Chen

ICML 2025 EmoGrowth: Incremental Multi-Label Emotion Decoding with Augmented Emotional Relation Graph Kaicheng Fu, Changde Du, Jie Peng, Kunpeng Wang, Shuangchen Zhao, Xiaoyu Chen, Huiguang He

JMLR 2025 Mean Aggregator Is More Robust than Robust Aggregators Under Label Poisoning Attacks on Distributed Heterogeneous Data Jie Peng, Weiyu Li, Stefan Vlaski, Qing Ling

ICML 2025 Modalities Contribute Unequally: Enhancing Medical Multi-Modal Learning Through Adaptive Modality Token Re-Balancing Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen

NeurIPS 2025 Mozart: Modularized and Efficient MoE Training on 3.5d Wafer-Scale Chiplet Architectures Shuqing Luo, Ye Han, Pingzhi Li, Jiayin Qin, Jie Peng, Yang Katie Zhao, Yu Cao, Tianlong Chen

ICML 2025 Occult: Optimizing Collaborative Communications Across Experts for Accelerated Parallel MoE Training and Inference Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen

JMLR 2025 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity Qiankun Shi, Jie Peng, Kun Yuan, Xiao Wang, Qing Ling

CPAL 2025 Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen

ICLR 2025 TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang

AAAI 2025 Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu

AISTATS 2024 Enhancing Distributional Stability Among Sub-Populations Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui

NeurIPS 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

IJCAI 2024 Mean Aggregator Is More Robust than Robust Aggregators Under Label Poisoning Attacks Jie Peng, Weiyu Li, Qing Ling

ECCV 2024 Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network Sukwon Yun, Jie Peng, Alexandro E Trevino, Chanyoung Park, Tianlong Chen

TMLR 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

ECCVW 2022 NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui