Han Li

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion AAAI 2026 Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards ACL 2026 DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design AAAI 2026 DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing ACL 2026 RandP: Effective and Efficient Medical Visual In-Context Learning via a Retrieve-and-Propagate Module for Prompt-Query Fusion MIDL 2026 AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System AAAI 2026 CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search AAAI 2026 CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints AAAI 2026 DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning AAAI 2026 RecFlow: An Industrial Full Flow Recommendation Dataset ICLR 2025 LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application AAAI 2025 HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation CVPR 2025 InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering EMNLP 2025 PersPose: 3D Human Pose Estimation with Perspective Encoding and Perspective Rotation ICCV 2025 Making Transformer Decoders Better Differentiable Indexers ICLR 2025 Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification ICLR 2025 On Disentangled Training for Nonlinear Transform in Learned Image Compression ICLR 2025 ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ICLR 2025 Adversarial Robust Generalization of Graph Neural Networks ICML 2025 Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains ICML 2025 CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention ICML 2025 Noise Conditional Variational Score Distillation ICML 2025 Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis IJCAI 2025 HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift MICCAI 2025 NeRF-based CBCT Reconstruction needs Normalization and Initialization MICCAI 2025 PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation MICCAI 2025 LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios NAACL 2025 Rethinking Smoothness for Fast and Adaptable Entity Alignment Decoding NAACL 2025 Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data MIDL 2025 LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition ACL 2024 BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning CVPR 2024 Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation ECCV 2024 Interpretable Diffusion via Information Decomposition ICLR 2024 Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning AAAI 2024 Frequency-Aware Transformer for Learned Image Compression ICLR 2024 Optimal Auction Design with User Coupons in Advertising Systems IJCAI 2024 Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024 Cross-view Semantic Alignment for Livestreaming Product Recognition ICCV 2023 Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation IJCAI 2023 Generalization Bounds for Adversarial Metric Learning IJCAI 2023 Cross-Domain Product Representation Learning for Rich-Content E-Commerce ICCV 2023 Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge EMNLP 2023 Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation AAAI 2023 A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining ECCV 2022 Pareto Domain Adaptation NIPS 2021 Learning Slice-Aware Representations with Mixture of Attentions IJCNLP 2021 A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems EMNLP 2021 Learning Slice-Aware Representations with Mixture of Attentions ACL 2021 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising IJCAI 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020 Learning Optimal Tree Models under Beam Search ICML 2020 Handling Rare Entities for Neural Sequence Labeling ACL 2020 Joint Optimization of Tree-based Index and Deep Model for Recommender Systems NIPS 2019 Continuous Learning for Large-scale Personalized Domain Classification NAACL 2019 Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features NAACL 2019 Random Walks on Context-Aware Relation Graphs for Ranking Social Tags COLING 2012