Haobo Wang

An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026 AquaSplatting: A Hybrid 3D Representation for Robust Underwater Scene Reconstruction via Dual-Branch Rendering AAAI 2026 Dual Graph Disambiguation for Multi-Instance Partial-Label Learning AAAI 2026 Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection ACL 2026 Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis AAAI 2026 Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph ACL 2026 A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution IJCAI 2025 Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL ICLR 2025 CrowdAgent: Multi-Agent Managed Multi-Source Annotation System EMNLP 2025 CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025 Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary ICLR 2025 Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models EMNLP 2025 Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition ACL 2025 LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025 LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains EMNLP 2025 Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries ICML 2025 Multi-Instance Multi-Label Classification from Crowdsourced Labels AAAI 2025 P(all-atom) Is Unlocking New Path For Protein Design ICML 2025 Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ACL 2025 RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis ACL 2025 Representation Surgery in Model Merging with Probabilistic Modeling ICML 2025 Steer LLM Latents for Hallucination Detection ICML 2025 Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank ICML 2025 Towards Reverse Engineering of Language Models: A Survey EMNLP 2025 Towards Robust Incremental Learning Under Ambiguous Supervision IJCAI 2025 Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications EMNLP 2025 A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024 Common-Individual Semantic Fusion for Multi-View Multi-Label Learning IJCAI 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Energy-based Automated Model Evaluation ICLR 2024 Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models COLING 2024 FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents EMNLP 2024 Learning Geometry-Aware Representations for New Intent Discovery ACL 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NeurIPS 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NeurIPS 2024 On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey ACL 2024 Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation CVPR 2024 RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning CVPR 2024 Unbiased Multi-Label Learning from Crowdsourced Annotations ICML 2024 A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 2023 CAME: Contrastive Automated Model Evaluation ICCV 2023 Debiased and Denoised Entity Recognition from Distant Supervision NeurIPS 2023 Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023 FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models EMNLP 2023 iDAG: Invariant DAG Searching for Domain Generalization ICCV 2023 Latent Processes Identification From Multi-View Time Series IJCAI 2023 Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering ICLR 2023 ProMix: Combating Label Noise via Maximizing Clean Sample Utility IJCAI 2023 Regression with Cost-based Rejection NeurIPS 2023 Revisiting the Knowledge Injection Frameworks EMNLP 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation NeurIPS 2023 Towards Controlled Data Augmentations for Active Learning ICML 2023 Less-forgetting Multi-lingual Fine-tuning NeurIPS 2022 PiCO: Contrastive Label Disambiguation for Partial Label Learning ICLR 2022 SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning NeurIPS 2022 Collaboration Based Multi-Label Propagation for Fraud Detection IJCAI 2020 Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification AAAI 2020 Learning From Multi-Dimensional Partial Labels IJCAI 2020 Discriminative and Correlative Partial Multi-Label Learning IJCAI 2019 Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification AAAI 2019