Zihan Zhang

Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation AAAI 2026 GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation AAAI 2026 NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction WACV 2026 Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration AAAI 2026 Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark ACL 2026 Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback ICML 2025 Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits ICLR 2025 NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning EMNLP 2025 Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving EMNLP 2025 Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning ACL 2025 LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement ACL 2025 Context-DPO: Aligning Language Models for Context-Faithfulness ACL 2025 Anytime Acceleration of Gradient Descent COLT 2025 ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024 BS-PLCNet 2: Two-stage Band-split Packet Loss Concealment Network with Intra-model Knowledge Distillation INTERSPEECH 2024 Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NIPS 2024 Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection ECCV 2024 Calibrating LLM-Based Evaluator COLING 2024 Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition COLING 2024 Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning NAACL 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 Text Diffusion with Reinforced Conditioning AAAI 2024 Settling the sample complexity of online reinforcement learning COLT 2024 Optimal Multi-Distribution Learning COLT 2024 Horizon-Free Regret for Linear Markov Decision Processes ICLR 2024 MedINST: Meta Dataset of Biomedical Instructions EMNLP 2024 HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition ACL 2024 RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering ACL 2024 Auto Search Indexer for End-to-End Document Retrieval EMNLP 2023 Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting NIPS 2023 Dual-Alignment Pre-training for Cross-lingual Sentence Embedding ACL 2023 Pre-training Language Model as a Multi-perspective Course Learner ACL 2023 Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes COLT 2023 Decoupling MaxLogit for Out-of-Distribution Detection CVPR 2023 Democratizing Reasoning Ability: Tailored Learning from Large Language Model EMNLP 2023 Turn-Level Active Learning for Dialogue State Tracking EMNLP 2023 How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances EMNLP 2023 CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023 PromptBERT: Improving BERT Sentence Embeddings with Prompts EMNLP 2022 Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies COLT 2022 Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics NAACL 2022 RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022 Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NIPS 2022 The HCCL System for the NIST SRE21 INTERSPEECH 2022 Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP NIPS 2021 Near Optimal Reward-Free Reinforcement Learning ICML 2021 Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity ICML 2021 Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon COLT 2021 Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks AAAI 2021 Argot: Generating Adversarial Readable Chinese Texts IJCAI 2020 Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition NIPS 2020 Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NIPS 2019 AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification NIPS 2019