Haobo Wang

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