Chu, Xiaowen

26 publications

ICLR 2026 DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference Xiang Liu, Xuming Hu, Xiaowen Chu, Eunsol Choi

ICLR 2026 Ghost in the Cloud: Your Geo-Distributed Large Language Models Training Is Easily Manipulated Zichen Tang, Zhenheng Tang, Gaoning Pan, Buhua Liu, Xin He, Kunfeng Lai, Xiaowen Chu, Bo Li

ICLR 2026 JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms Might Be Unsafe Fanjunduo Wei, Zhenheng Tang, Rongfei Zeng, Tongliang Liu, Chengqi Zhang, Xiaowen Chu, Bo Han

ICLR 2026 Reasoning Language Model Inference Serving Unveiled: An Empirical Study Qi Li, Junpan Wu, Xiang Liu, Yuxin Wang, Zeyu Li, Zhenheng Tang, Yuhan Chen, Shaohuai Shi, Xiaowen Chu

ICML 2025 Can Compressed LLMs Truly Act? an Empirical Evaluation of Agentic Capabilities in LLM Compression Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li

NeurIPS 2025 ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Liuyue, Bo Li, Xuming Hu, Xiaowen Chu

ICLR 2025 Hot-Pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han

AAAI 2025 ParZC: Parametric Zero-Cost Proxies for Efficient NAS Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu

ICLR 2025 STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs Peijie Dong, Lujun Li, Yuedong Zhong, DaYou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu

AAAI 2024 CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng

NeurIPS 2024 Discovering Sparsity Allocation for Layer-Wise Pruning of Large Language Models Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo

ICLR 2024 FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu

NeurIPS 2024 FuseFL: One-Shot Federated Learning Through the Lens of Causality with Progressive Model Fusion Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu

NeurIPSW 2024 Hot Pluggable Federated Learning Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han

ECCV 2024 Multi-Task Domain Adaptation for Language Grounding with 3D Objects Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu

ICML 2024 Pruner-Zero: Evolving Symbolic Pruning Metric from Scratch for Large Language Models Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu

NeurIPS 2024 Should We Really Edit Language Models? on the Evaluation of Edited Language Models Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu

CVPRW 2024 VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang

AAAI 2023 NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu

AAAI 2023 Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng

ECCV 2022 EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu

ECCV 2022 EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu

ICML 2022 Virtual Homogeneity Learning: Defending Against Data Heterogeneity in Federated Learning Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu

AAAI 2021 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

CVPR 2021 EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-Based Spatial Residual Songyan Zhang, Zhicheng Wang, Qiang Wang, Jinshuo Zhang, Gang Wei, Xiaowen Chu

IJCAI 2019 A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu