Aidong Zhang

38 papers · 2017–2026 · 8 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🌍 Conference Polyglot (8)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏆 Keyword Champion 🗃️ Keyword Collector (167) ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (35) 🔥 Unstoppable (9) ❓ The Questioner

Conferences

AAAI (12) IJCAI (11) NIPS (5) EMNLP (3) ACL (2) ECCV (2) ICML (2) ICCV (1)

Top co-authors

Guangzhi Xiong (9) Mengdi Huai (9) Guangtao Zheng (6) Sanchit Sinha (6) Wenqian Ye (5) Liuyi Yao (5) Chenglin Miao (5) Jing Gao (4) Jianhui Sun (4) Di Wang (4)

Research topics

Differential Privacy (1)

Keywords

large language model (6) causal inference (4) benchmark evaluation (4) federated learning (3) generative adversarial network (3) adversarial learning (3) multi-agent system (3) contrastive learning (3) spurious correlation (2) foundation model (2) treatment effect estimation (2) representation learning (2) domain generalization (2) metric learning (2) multimodal learning (2) few-shot learning (2) differential privacy (2) information retrieval (2) attention mechanism (2) multi-modal learning (2)

Papers

SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias AAAI 2026 SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations AAAI 2026 Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models AAAI 2026 COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models EMNLP 2025 MedCite: Can Language Models Generate Verifiable Text for Medicine? ACL 2025 InfAL: Inference Time Adversarial Learning for Improving Research Ideation EMNLP 2025 GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability ICCV 2025 NeuronTune: Towards Self-Guided Spurious Bias Mitigation ICML 2025 ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers IJCAI 2025 ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models IJCAI 2025 Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models IJCAI 2025 Benchmarking Retrieval-Augmented Generation for Medicine ACL 2024 FedMBridge: Bridgeable Multimodal Federated Learning ICML 2024 MedCalc-Bench: Evaluating Large Language Models for Medical Calculations NIPS 2024 A Self-explaining Neural Architecture for Generalizable Concept Learning IJCAI 2024 Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation IJCAI 2024 Generalizing to Unseen Domains via Text-guided Augmentation ECCV 2024 Benchmarking Spurious Bias in Few-Shot Image Classifiers ECCV 2024 On the Role of Server Momentum in Federated Learning AAAI 2024 On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024 Understanding and Enhancing Robustness of Concept-Based Models AAAI 2023 On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023 Solving a Class of Non-Convex Minimax Optimization in Federated Learning NIPS 2023 Federated Conditional Stochastic Optimization NIPS 2023 CLEAR: Generative Counterfactual Explanations on Graphs NIPS 2022 Towards Automating Model Explanations with Certified Robustness Guarantees AAAI 2022 Multi-Cause Effect Estimation with Disentangled Confounder Representation IJCAI 2021 Pairwise Learning with Differential Privacy Guarantees AAAI 2020 Towards Interpretation of Pairwise Learning AAAI 2020 EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020 Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm IJCAI 2019 Privacy-aware Synthesizing for Crowdsourced Data IJCAI 2019 Metric Learning on Healthcare Data with Incomplete Modalities IJCAI 2019 On the Estimation of Treatment Effect with Text Covariates IJCAI 2019 AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction AAAI 2019 Representation Learning for Treatment Effect Estimation from Observational Data NIPS 2018 A Correlated Topic Model Using Word Embeddings IJCAI 2017