Dongkuan Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
25
Active years
2017–2026
Best venue rank
A*
Where they publish
- A*AAAI11 papers
- A*ACL4 papers
- A*KDD4 papers
- A*ICDM3 papers
- A*WWW3 papers
- A*IJCAI3 papers
- A*EMNLP3 papers
- A*CVPR2 papers
- A*DAC2 papers
- ASDM2 papers
- A*CHI1 paper
- AWACV1 paper
- AIROS1 paper
- A*ECCV1 paper
- CFIE1 paper
- MulticonferenceICASSP1 paper
- CIPCCC1 paper
- BNetworking1 paper
- AAISTATS1 paper
- BICCCN1 paper
- A*ICCV1 paper
- A*ICLR1 paper
- ANAACL1 paper
- A*SIGIR1 paper
- BIJCNN1 paper
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | BiasViz: A Project-Based, Narrative-Centered Learning Tool for Engaging Middle School Students in Critical Thinking about AI Biases. | Hasti Darabipourshiraz, Daria Smyslova, Dongkuan Xu, Shiyan Jiang, Duri Long |
| 2026 | WACV | Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification | Pengfei Gu, Huimin Li, Haoteng Tang, Dongkuan Xu, Erik Enriquez, DongChul Kim, Bin Fu, Danny Z. Chen |
| 2025 | AAAI | Adaptive Draft-Verification for Efficient Large Language Model Decoding. | Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan Xu |
| 2025 | AAAI | MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students. | Benyamin T. Tabarsi, Aditya Basarkar, Xukun Liu, Dongkuan Xu, Tiffany Barnes |
| 2025 | ACL | Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery. | ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni |
| 2025 | ICDM | Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. | Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan |
| 2025 | ICDM | Who Matters More in Radiology Report Generation: Vision Encoders or Language Models? | Kun Zhao, Yang Du, Rhianna Zhang, Liang Zhan, Dongkuan Xu, Pengfei Gu, Haoteng Tang |
| 2025 | IROS | Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy. | Hong Huang, Dongkuan Xu, Hao Zhang, Peng Gao |
| 2025 | KDD | RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2025 | WWW | Resource-Efficient Learning for the Web. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2025 | WWW | RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2024 | AAAI | Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. | Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu |
| 2024 | ECCV | AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation. | Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu |
| 2024 | FIE | Empowering Secondary School Teachers: Creating, Executing, and Evaluating a Transformative Professional Development Course on ChatGPT. | Heidi Reichert, Benyamin T. Tabarsi, Zifan Zhang, Cheri Fennell, Indira Bhandari, David Robinson, Madeline Drayton, Catherine Crofton, Matthew Lococo, Dongkuan Xu, Tiffany Barnes |
| 2024 | ICASSP | Autost: Training-Free Neural Architecture Search For Spiking Transformers. | Ziqing Wang, Qidong Zhao, Jinku Cui, Xu Liu, Dongkuan Xu |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension. | Yi Wang, Qidong Zhao, Dongkuan Xu, Xu Liu |
| 2024 | IPCCC | Revolutionizing Wireless Modeling and Simulation with Network-Oriented LLMs. | Jiewen Liu, Zhiyuan Peng, Dongkuan Xu, Yuchen Liu |
| 2024 | KDD | RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu |
| 2024 | Networking | RM-Gen: Conditional Diffusion Model-Based Radio Map Generation for Wireless Networks. | Xuanhao Luo, Zhizhen Li, Zhiyuan Peng, Dongkuan Xu, Yuchen Liu |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | ACL | A Survey for Efficient Open Domain Question Answering. | Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang |
| 2023 | AISTATS | Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. | Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Accelerating Dataset Distillation via Model Augmentation. | Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu |
| 2023 | DAC | Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. | Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding |
| 2023 | DAC | Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. | Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding |
| 2023 | EMNLP | Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection. | Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu |
| 2023 | EMNLP | Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. | Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu |
| 2023 | EMNLP | Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs. | Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu |
| 2023 | ICCCN | E-App: Adaptive mmWave Access Point Planning with Environmental Awareness in Wireless LANs. | Yuchen Liu, Mingzhe Chen, Dongkuan Xu, Zhaohui Yang, Shangqing Zhao |
| 2023 | ICCV | Rethinking Data Distillation: Do Not Overlook Calibration. | Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang |
| 2023 | ICLR | Calibrating the Rigged Lottery: Making All Tickets Reliable. | Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick |
| 2023 | KDD | Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. | Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou |
| 2023 | KDD | RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang |
| 2022 | ACL | Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. | 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 |
| 2021 | AAAI | How Do We Move: Modeling Human Movement with System Dynamics. | Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li |
| 2021 | AAAI | Longitudinal Deep Kernel Gaussian Process Regression. | Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. | Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang |
| 2021 | ACL | Data Augmentation with Adversarial Training for Cross-Lingual NLI. | Xin Dong, Yaxin Zhu, Zuohui Fu, Dongkuan Xu, Gerard de Melo |
| 2021 | NAACL | Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. | Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao |
| 2021 | SDM | Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. | Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang |
| 2020 | AAAI | LMLFM: Longitudinal Multi-Level Factorization Machine. | Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar |
| 2020 | AAAI | 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 |
| 2020 | SIGIR | Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification. | Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo |
| 2019 | ICDM | Adaptive Neural Network for Node Classification in Dynamic Networks. | Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang |
| 2019 | IJCAI | Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. | Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang |
| 2019 | SDM | Deep Co-Clustering. | Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang |
| 2018 | WWW | Co-Regularized Deep Multi-Network Embedding. | Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang |
| 2017 | IJCNN | Metric learning for multi-instance classification with collapsed bags. | Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian |