Yichi Zhang

Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion ACL 2026 rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality AAAI 2026 CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization ACL 2026 Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations ACL 2026 UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction AAAI 2026 Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation MIDL 2026 PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography AAAI 2026 Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation AAAI 2025 Bias Amplification: Large Language Models as Increasingly Biased Media AACL 2025 MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation NAACL 2025 FIG: Flow with Interpolant Guidance for Linear Inverse Problems ICLR 2025 Towards Hierarchical Rectified Flow ICLR 2025 Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning ICLR 2025 MetaOOD: Automatic Selection of OOD Detection Models ICLR 2025 AimBot: A Simple Auxiliary Visual Cue to Enhance Spatial Awareness of Visuomotor Policies CORL 2025 K-ON: Stacking Knowledge on the Head Layer of Large Language Model AAAI 2025 Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors ACL 2025 RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models ACL 2025 Noise-powered Multi-modal Knowledge Graph Representation Framework COLING 2025 Improve Representation for Imbalanced Regression through Geometric Constraints CVPR 2025 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 NDD: A Decision Diagram for Network Verification NSDI 2025 MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine ICLR 2025 Bias Amplification: Large Language Models as Increasingly Biased Media IJCNLP 2025 STAIR: Improving Safety Alignment with Introspective Reasoning ICML 2025 Multiobjective distribution matching ICML 2025 Proactive Assistant Dialogue Generation from Streaming Egocentric Videos EMNLP 2025 Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance EMNLP 2025 Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization EMNLP 2025 CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models EMNLP 2025 A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation ICLR 2025 SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images ICCV 2025 Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking ACL 2025 Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space ACL 2025 Eliciting Honest Information from Authors Using Sequential Review AAAI 2024 Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding AAAI 2024 SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views AAAI 2024 MKGL: Mastery of a Three-Word Language NIPS 2024 Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering ACL 2024 PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain ACL 2024 Gliding over the Pareto Front with Uniform Designs NIPS 2024 Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model MICCAI 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models NIPS 2024 MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? ECCV 2024 Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion COLING 2024 "SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models" ECCV 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NIPS 2024 Rethinking Model Ensemble in Transfer-based Adversarial Attacks ICLR 2024 GROUNDHOG: Grounding Large Language Models to Holistic Segmentation CVPR 2024 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models CVPR 2024 Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving CVPR 2023 Revisiting the Evaluation of Image Synthesis with GANs NIPS 2023 Binarized Neural Machine Translation NIPS 2023 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023 Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans? EMNLP 2023 Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake? EMNLP 2023 DANLI: Deliberative Agent for Following Natural Language Instructions EMNLP 2022 PokeBNN: A Binary Pursuit of Lightweight Accuracy CVPR 2022 Understanding Hyperdimensional Computing for Parallel Single-Pass Learning NIPS 2022 Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping JMLR 2022 Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring IJCNLP 2021 Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability EMNLP 2021 Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining ICCV 2021 Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding EMNLP 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining IJCAI 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021 Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models EACL 2021 Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring ACL 2021 Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making ACL 2021 Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making IJCNLP 2021 A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning EMNLP 2020 Improved Learning of Word Embeddings with Word Definitions and Semantic Injection INTERSPEECH 2020 Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations ICLR 2020 SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention MIDL 2020 Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph EMNLP 2020 Paraphrase Augmented Task-Oriented Dialog Generation ACL 2020 Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context AAAI 2020