Xu, Dongkuan

27 publications

AAAI 2025 Adaptive Draft-Verification for Efficient Large Language Model Decoding Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan Xu

AAAI 2025 MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students Benyamin T. Tabarsi, Aditya Basarkar, Xukun Liu, Dongkuan Xu, Tiffany Barnes

ECCV 2024 AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu

CPAL 2024 Balance Is Essence: Accelerating Sparse Training via Adaptive Gradient Correction Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani Mallick

NeurIPS 2024 DALD: Improving Logits-Based Detector Without Logits from Black-Box LLMs Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu

TMLR 2024 Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani Mallick

IJCAI 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie

IJCAI 2024 Purpose Enhanced Reasoning Through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension Yi Wang, Qidong Zhao, Dongkuan Xu, Xu Liu

AAAI 2024 Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu

CVPR 2023 Accelerating Dataset Distillation via Model Augmentation Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu

AAAI 2023 Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun

ICLR 2023 Calibrating the Rigged Lottery: Making All Tickets Reliable Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani Mallick

AISTATS 2023 Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang

ICCV 2023 Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Yiqun Xie, Ruqi Zhang, Dongkuan Xu

AAAI 2023 Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

NeurIPS 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma

CVPR 2023 You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu

NeurIPS 2022 Few-Shot Task-Agnostic Neural Architecture Search for Distilling Large Language Models Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Awadallah, Jianfeng Gao

AAAI 2021 How Do We Move: Modeling Human Movement with System Dynamics Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li

NeurIPS 2021 InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang

AAAI 2021 Longitudinal Deep Kernel Gaussian Process Regression Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar

AAAI 2021 Multi-Task Recurrent Modular Networks Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

AAAI 2021 Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang

AAAI 2020 LMLFM: Longitudinal Multi-Level Factorization Machine Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar

NeurIPS 2020 Parameterized Explainer for Graph Neural Network Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

AAAI 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang

IJCAI 2019 Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang