Dongkuan Xu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 83

Top Topics

Avoid Overfitting

Gaussian Process Regression

Top Venues

Publications

Ziqing Wang, Qidong Zhao, Jinku Cui, Xu Liu, Dongkuan Xu
Autost: Training-Free Neural Architecture Search For Spiking Transformers. ICASSP (2024)
Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models. CoRR (2024)
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. CoRR (2024)
Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
Improving Logits-based Detector without Logits from Black-box LLMs. CoRR (2024)
Zifan Zhang, Yuchen Liu, Zhiyuan Peng, Mingzhe Chen, Dongkuan Xu, Shuguang Cui
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks. CoRR (2024)
Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. AAAI (2024)
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. Trans. Mach. Learn. Res. 2024 (2024)
Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan Xu
Adaptive Draft-Verification for Efficient Large Language Model Decoding. CoRR (2024)
Xukun Liu, Zhiyuan Peng, Xiaoyuan Yi, Xing Xie, Lirong Xiang, Yuchen Liu, Dongkuan Xu
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph. CoRR (2024)
Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2024)
Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. CoRR (2023)
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
A Survey for Efficient Open Domain Question Answering. ACL (1) (2023)
Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick
Calibrating the Rigged Lottery: Making All Tickets Reliable. ICLR (2023)
Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. DAC (2023)
Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. AAAI (2023)
Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu
Improving long-tailed classification by disentangled variance transfer. Internet Things 21 (2023)
Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu
Gentopia: A Collaborative Platform for Tool-Augmented LLMs. CoRR (2023)
Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu
Accelerating Dataset Distillation via Model Augmentation. CVPR (2023)
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani K. Mallick
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction. CoRR (2023)
Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. NeurIPS (2023)
Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR (2023)
Jianwei Li, Tianchi Zhang, Ian En-Hsu Yen, Dongkuan Xu
FP8-BERT: Post-Training Quantization for Transformer. CoRR (2023)
Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang
Rethinking Data Distillation: Do Not Overlook Calibration. ICCV (2023)
Shuya Li, Hao Mei, Jianwei Li, Hua Wei, Dongkuan Xu
Toward Efficient Traffic Signal Control: Smaller Network Can Do More. CDC (2023)
Chengyuan Liu, Divyang Doshi, Muskaan Bhargava, Ruixuan Shang, Jialin Cui, Dongkuan Xu, Edward F. Gehringer
Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training. BEA@ACL (2023)
Binfeng Xu, Zhiyuan Peng, Bowen Lei, Subhabrata Mukherjee, Yuchen Liu, Dongkuan Xu
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models. CoRR (2023)
Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. CoRR (2023)
Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. CoRR (2023)
Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC (2023)
Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection. CoRR (2023)
Zhengdong Zhang, Zihan Dong, Yang Shi, Noboru Matsuda, Thomas Price, Dongkuan Xu
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. CoRR (2023)
Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick
Calibrating the Rigged Lottery: Making All Tickets Reliable. CoRR (2023)
Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu
Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs. EMNLP (Demos) (2023)
Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. CVPR (2023)
Ziqing Wang, Qidong Zhao, Jinku Cui, Xu Liu, Dongkuan Xu
AutoST: Training-free Neural Architecture Search for Spiking Transformers. CoRR (2023)
Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. AISTATS (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR (2023)
Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu
DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation. CoRR (2023)
Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. CoRR (2023)
Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection. EMNLP (Findings) (2023)
Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2023)
Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Ruqi Zhang, Yiqun Xie, Dongkuan Xu
Rethinking Data Distillation: Do Not Overlook Calibration. CoRR (2023)
Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. EMNLP (2023)
Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. KDD (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI (2023)
Yuchen Liu, Mingzhe Chen, Dongkuan Xu, Zhaohui Yang, Shangqing Zhao
E-App: Adaptive mmWave Access Point Planning with Environmental Awareness in Wireless LANs. ICCCN (2023)
Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. CoRR (2022)
Ian En-Hsu Yen, Zhibin Xiao, Dongkuan Xu
S4: a High-sparsity, High-performance AI Accelerator. CoRR (2022)
Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu
Accelerating Dataset Distillation via Model Augmentation. CoRR (2022)
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
A Survey for Efficient Open Domain Question Answering. CoRR (2022)
Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding
An Automatic and Efficient BERT Pruning for Edge AI Systems. ISQED (2022)
Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding
An Automatic and Efficient BERT Pruning for Edge AI Systems. CoRR (2022)
Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. CoRR (2022)
Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. NeurIPS (2022)
Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. CoRR (2022)
Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. ACL (1) (2022)
Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao
Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. NAACL-HLT (2021)
Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar
Longitudinal Deep Kernel Gaussian Process Regression. AAAI (2021)
Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI (2021)
Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
Multi-Task Recurrent Modular Networks. AAAI (2021)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS (2021)
Xin Dong, Yaxin Zhu, Zuohui Fu, Dongkuan Xu, Gerard de Melo
Data Augmentation with Adversarial Training for Cross-Lingual NLI. ACL/IJCNLP (1) (2021)
Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM (2021)
Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao
Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. CoRR (2021)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
InfoGCL: Information-Aware Graph Contrastive Learning. CoRR (2021)
Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li
How Do We Move: Modeling Human Movement with System Dynamics. AAAI (2021)
Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Sung-en Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu, Caiwen Ding
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. CoRR (2021)
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
Parameterized Explainer for Graph Neural Network. NeurIPS (2020)
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
Parameterized Explainer for Graph Neural Network. CoRR (2020)
Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification. SIGIR (2020)
Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar
Longitudinal Deep Kernel Gaussian Process Regression. CoRR (2020)
Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI (2020)
Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar
LMLFM: Longitudinal Multi-Level Factorization Machine. AAAI (2020)
Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification. CoRR (2020)
Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Deep Co-Clustering. SDM (2019)
Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar
LMLFM: Longitudinal Multi-Level Factorization Machine. CoRR (2019)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI (2019)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM (2019)
Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
Co-Regularized Deep Multi-Network Embedding. WWW (2018)
Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian
Metric learning for multi-instance classification with collapsed bags. IJCNN (2017)
Dongkuan Xu, Jia Wu, Dewei Li, Yingjie Tian, Xingquan Zhu, Xindong Wu
SALE: Self-adaptive LSH encoding for multi-instance learning. Pattern Recognit. 71 (2017)
Dongkuan Xu, Jia Wu, Wei Zhang, Yingjie Tian
PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning. CoRR (2016)
Dongkuan Xu, Yi Zhang, Cheng Cheng, Wei Xu, Likuan Zhang
A Neural Network-Based Ensemble Prediction Using PMRS and ECM. HICSS (2014)