Yizhe Zhang

Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits? AAAI 2026 Decoupling Continual Semantic Segmentation AAAI 2026 Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation AAAI 2026 SAGE: Steering Dialog Generation with Future-Aware State-Action Augmentation EMNLP 2025 ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities NAACL 2025 Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency MICCAI 2025 Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation MICCAI 2025 Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos MICCAI 2025 From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation MICCAI 2025 Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion ICML 2025 Training Software Engineering Agents and Verifiers with SWE-Gym ICML 2025 OpenHands: An Open Platform for AI Software Developers as Generalist Agents ICLR 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025 Denoising Autoregressive Transformers for Scalable Text-to-Image Generation ICLR 2025 Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models ACL 2025 On the Way to LLM Personalization: Learning to Remember User Conversations ACL 2025 MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains NAACL 2025 TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation MICCAI 2024 TextPolyp: Point-supervised Polyp Segmentation with Text Cues MICCAI 2024 EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis MICCAI 2024 An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation MICCAI 2024 Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP 2024 Data-free Distillation of Diffusion Models with Bootstrapping ICML 2024 On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024 Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games ACL 2024 Executable Code Actions Elicit Better LLM Agents ICML 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling NIPS 2024 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024 Matryoshka Diffusion Models ICLR 2024 f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation ICLR 2023 Towards More Efficient Insertion Transformer with Fractional Positional Encoding EACL 2023 Interactive Text Generation EMNLP 2023 Stabilizing Transformer Training by Preventing Attention Entropy Collapse ICML 2023 PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model NIPS 2023 Linearizing Transformer with Key-Value Memory EMNLP 2022 RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling AAAI 2022 A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation ACL 2022 What Makes Good In-Context Examples for GPT-3? ACL 2022 Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device CVPR 2022 Bridging the Training-Inference Gap for Dense Phrase Retrieval EMNLP 2022 Perceptual Consistency in Video Segmentation WACV 2022 AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation WACV 2022 Automatic Document Sketching: Generating Drafts from Analogous Texts ACL 2021 Contrastive Multi-document Question Generation EACL 2021 Automatic Document Sketching: Generating Drafts from Analogous Texts IJCNLP 2021 InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021 Contextualized Perturbation for Textual Adversarial Attack NAACL 2021 Finetuning Pretrained Transformers into RNNs EMNLP 2021 Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021 A Controllable Model of Grounded Response Generation AAAI 2021 Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020 INSET: Sentence Infilling with INter-SEntential Transformer ACL 2020 Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space EMNLP 2020 Structured Convolutions for Efficient Neural Network Design NIPS 2020 An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training AAAI 2020 Dialogue Response Ranking Training with Large-Scale Human Feedback Data EMNLP 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020 Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020 Complementary Auxiliary Classifiers for Label-Conditional Text Generation AAAI 2020 Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task INTERSPEECH 2020 Contextual Text Style Transfer EMNLP 2020 POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training EMNLP 2020 Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation ICLR 2020 DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation ACL 2020 Improving Sequence-to-Sequence Learning via Optimal Transport ICLR 2019 Domain Adaptive Text Style Transfer EMNLP 2019 Structuring Latent Spaces for Stylized Response Generation EMNLP 2019 Second-Order Non-Local Attention Networks for Person Re-Identification ICCV 2019 Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling ACL 2019 Improving Textual Network Embedding with Global Attention via Optimal Transport ACL 2019 Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL 2019 Structuring Latent Spaces for Stylized Response Generation IJCNLP 2019 Domain Adaptive Text Style Transfer IJCNLP 2019 A New Ensemble Learning Framework for 3D Biomedical Image Segmentation AAAI 2019 Biomedical Image Segmentation via Representative Annotation AAAI 2019 SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation MIDL 2019 Jointly Optimizing Diversity and Relevance in Neural Response Generation NAACL 2019 Towards Coherent and Cohesive Long-form Text Generation NAACL 2019 Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models EMNLP 2019 Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization NIPS 2018 Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms ACL 2018 Adversarial Text Generation via Feature-Mover's Distance NIPS 2018 JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets ICML 2018 Joint Embedding of Words and Labels for Text Classification ACL 2018 Triangle Generative Adversarial Networks NIPS 2017 Stochastic Gradient Monomial Gamma Sampler ICML 2017 Deconvolutional Paragraph Representation Learning NIPS 2017 Adversarial Feature Matching for Text Generation ICML 2017 Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NIPS 2016 Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation NIPS 2016 Stochastic Gradient MCMC with Stale Gradients NIPS 2016 Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks IJCAI 2016 Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition ICCV 2013