Yao Zhang

Fair Diffusion Auctions AAAI 2026 Fair Incentives for Early Arrival in 0-1 Cooperative Games AAAI 2026 On the Evaluation of Capability Estimation Methods for Large Language Models AAAI 2026 T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method AAAI 2026 Task-Specific Distance Correlation Matching for Few-Shot Action Recognition AAAI 2026 AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models AAAI 2026 VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning AAAI 2026 DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes AAAI 2025 WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration AAAI 2025 Listening to Patients: Detecting and Mitigating Patient Misreport in Medical Dialogue System ACL 2025 Generating Questions, Answers, and Distractors for Videos: Exploring Semantic Uncertainty of Object Motions ACL 2025 SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View ACL 2025 CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering WACV 2025 Incentives for Early Arrival in Cooperative Games (Extended Abstract) IJCAI 2025 SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence EMNLP 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models CVPR 2025 Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025 Can We Learn Question, Answer, and Distractors All from an Image? A New Task for Multiple-choice Visual Question Answering COLING 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors EMNLP 2024 GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs ICML 2024 ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations ACL 2023 SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency CVPR 2023 Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue EMNLP 2023 Adaptive Structure Induction for Aspect-based Sentiment Analysis with Spectral Perspective EMNLP 2023 KeFVP: Knowledge-enhanced Financial Volatility Prediction EMNLP 2023 Explaining Temporal Graph Models through an Explorer-Navigator Framework ICLR 2023 Incentive-Compatible Selection for One or Two Influentials IJCAI 2023 Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗ IJCAI 2023 HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model SEMEVAL 2023 HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model ACL 2023 Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification COLING 2022 Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects AISTATS 2022 Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension ACL 2022 Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs ACL 2022 Diffusion Incentives in Cooperative Games IJCAI 2022 BAMBOO: A Multi-instance Multi-label Approach Towards VDI User Logon Behavior Modeling IJCAI 2021 Semi-supervised Intent Discovery with Contrastive Learning EMNLP 2021 MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms NIPS 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks NIPS 2021 Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction AAAI 2021 SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes NIPS 2021 Argument Mining Driven Analysis of Peer-Reviews AAAI 2021 GMH: A General Multi-hop Reasoning Model for KG Completion EMNLP 2021 VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain NIPS 2020 Sybil-proof Answer Querying Mechanism IJCAI 2020 Learning Overlapping Representations for the Estimation of Individualized Treatment Effects AISTATS 2020 Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020 Gradient Regularized V-Learning for Dynamic Treatment Regimes NIPS 2020 Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification NIPS 2020 CASTLE: Regularization via Auxiliary Causal Graph Discovery NIPS 2020 Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network AAAI 2020 Learning outside the Black-Box: The pursuit of interpretable models NIPS 2020 CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features AAAI 2019