Yao Zhang

54 papers · 2019–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (12) 🗺️ Taxonomy Completionist (95) 🧬 Topic Evolution 🏆 Grand Slam 🚀 Conference Pioneer 🗃️ Keyword Collector (254) 💎 Century Club (47) 📈 Trend Setter ❓ The Questioner 🔥 Unstoppable (7) ⚡ Prolific Year (9)

Conferences

AAAI (15) NIPS (8) ACL (7) EMNLP (7) IJCAI (6) AISTATS (3) COLING (2) CVPR (2) ICLR (1) ICML (1) SEMEVAL (1) WACV (1)

Top co-authors

Zhenglu Yang (9) Mihaela van der Schaar (8) Adam Jatowt (7) Volker Tresp (7) Hongru Liang (6) Jun Wang (6) Dengji Zhao (6) Haokun Chen (5) Jindong Gu (5) Wenqiang Lei (3)

Research topics

Privacy (1) Digital Humanities (1)

Keywords

mechanism design (6) causal inference (5) large language model (5) text classification (3) graph neural network (3) question generation (3) cooperative game (3) contrastive learning (3) incentive compatibility (3) multi-modal learning (3) representation learning (3) visual question answering (3) incentive design (3) data augmentation (3) shapley value (3) federated learning (2) semi-supervised learning (2) knowledge graph (2) link prediction (2) time series prediction (2)

Papers

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