Dongkuan Xu

BiGain: Unified Token Compression for Joint Generation and Classification CVPR 2026 Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification WACV 2026 Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery ACL 2025 AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation ECCV 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024 Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension IJCAI 2024 Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming AAAI 2024 Accelerating Dataset Distillation via Model Augmentation CVPR 2023 A Survey for Efficient Open Domain Question Answering ACL 2023 Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics AAAI 2023 Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023 Calibrating the Rigged Lottery: Making All Tickets Reliable ICLR 2023 Co-evolving data-driven and NLU-driven Synthesizers for Generating Code in Domain Growth and Data Scarcity EMNLP 2023 Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation AISTATS 2023 Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs EMNLP 2023 Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training ACL 2023 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models EMNLP 2023 You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model CVPR 2023 Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm ACL 2022 Data Augmentation with Adversarial Training for Cross-Lingual NLI ACL 2021 How Do We Move: Modeling Human Movement with System Dynamics AAAI 2021 InfoGCL: Information-Aware Graph Contrastive Learning NeurIPS 2021 Longitudinal Deep Kernel Gaussian Process Regression AAAI 2021 Multi-Task Recurrent Modular Networks AAAI 2021 Rethinking Network Pruning – under the Pre-train and Fine-tune Paradigm NAACL 2021 Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling AAAI 2021 LMLFM: Longitudinal Multi-Level Factorization Machine AAAI 2020 Parameterized Explainer for Graph Neural Network NeurIPS 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020 Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs IJCAI 2019