Hao Chen

Knowledge-Enhanced Explainable Prompting for Vision-Language Models AAAI 2026 Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis MIDL 2026 Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning ACL 2026 Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks ACL 2026 Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation ACL 2026 Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models ACL 2026 Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration ACL 2026 LLM Collaborative Filtering: User-Item Graph as New Language AAAI 2026 Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions? AAAI 2026 You Don’t Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures AAAI 2026 ConSurv: Multimodal Continual Learning for Survival Analysis AAAI 2026 An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026 Active Multi-source Domain Adaptation for Multimodal Fake News Detection AAAI 2026 ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks AAAI 2026 Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate–Distortion Awareness AAAI 2026 AIR-DR: Adaptive Image Retargeting with Instance Relocation and Dual-guidance Repainting AAAI 2026 Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation MICCAI 2025 3DS-VLA: A 3D Spatial-Aware Vision Language Action Model for Robust Multi-Task Manipulation CORL 2025 Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization AAAI 2025 DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation AAAI 2025 Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation AAAI 2025 TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings AAAI 2025 MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking AAAI 2025 ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance AAAI 2025 Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025 Towards Loss-Resilient Image Coding for Unstable Satellite Networks AAAI 2025 A Denoising Pre-training Framework for Accelerating Novel Material Discovery AAAI 2025 A Survey on Foundation Language Models for Single-cell Biology ACL 2025 TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems ACL 2025 Making RALM Robust to Irrelevant Contexts via Layer Knowledge Guided Attention ACL 2025 Exploring the Choice Behavior of Large Language Models ACL 2025 ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models ACL 2025 SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems ACL 2025 Text-Attributed Graph Learning with Coupled Augmentations COLING 2025 Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation CVPR 2025 Generalizable Object Keypoint Localization from Generative Priors CVPR 2025 OSV: One Step is Enough for High-Quality Image to Video Generation CVPR 2025 SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories CVPR 2025 EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights CVPR 2025 SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer CVPR 2025 Distilled Prompt Learning for Incomplete Multimodal Survival Prediction CVPR 2025 PEACE: Empowering Geologic Map Holistic Understanding with MLLMs CVPR 2025 Monocular and Generalizable Gaussian Talking Head Animation CVPR 2025 FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification CVPR 2025 Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression CVPR 2025 Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025 Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution CVPR 2025 Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation EMNLP 2025 DIDS: Domain Impact-aware Data Sampling for Large Language Model Training EMNLP 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 OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework EMNLP 2025 CAARMA: Class Augmentation with Adversarial Mixup Regularization EMNLP 2025 LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains EMNLP 2025 FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation EMNLP 2025 VisualEDU: A Benchmark for Assessing Coding and Visual Comprehension through Educational Problem-Solving Video Generation EMNLP 2025 ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation EMNLP 2025 DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability ICCV 2025 VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025 Conditional Visual Autoregressive Modeling for Pathological Image Restoration ICCV 2025 Separation for Better Integration: Disentangling Edge and Motion in Event-based Deblurring ICCV 2025 SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting ICCV 2025 Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data ICCV 2025 UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI ICCV 2025 Unified Open-World Segmentation with Multi-Modal Prompts ICCV 2025 POMATO: Marrying Pointmap Matching with Temporal Motions for Dynamic 3D Reconstruction ICCV 2025 LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior ICLR 2025 WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning ICLR 2025 Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions ICLR 2025 What Matters When Repurposing Diffusion Models for General Dense Perception Tasks? ICLR 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards ICLR 2025 MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences ICLR 2025 Framer: Interactive Frame Interpolation ICLR 2025 PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training ICLR 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models ICLR 2025 GameGen-X: Interactive Open-world Game Video Generation ICLR 2025 ImageFolder: Autoregressive Image Generation with Folded Tokens ICLR 2025 BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation ICLR 2025 Masked Autoencoders Are Effective Tokenizers for Diffusion Models ICML 2025 Rethinking the Bias of Foundation Model under Long-tailed Distribution ICML 2025 SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming ICML 2025 Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images ICML 2025 Reinforced Lifelong Editing for Language Models ICML 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025 PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model ICML 2025 Physics Aware Neural Networks for Unsupervised Binding Energy Prediction ICML 2025 Improving Multimodal Learning Balance and Sufficiency through Data Remixing ICML 2025 Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning ICML 2025 Structure-Guided Large Language Models for Text-to-SQL Generation ICML 2025 Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning IJCAI 2025 DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning IJCAI 2025 MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models IJCAI 2025 A Survey of Pathology Foundation Model: Progress and Future Directions IJCAI 2025 Dia-LLaMA: Towards Large Language Model-driven CT Report Generation MICCAI 2025 Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging MICCAI 2025 Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models MICCAI 2025 Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection MICCAI 2025 Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction MICCAI 2025 PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis MICCAI 2025 A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning AAAI 2024 MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment AAAI 2024 Post-hoc Part-Prototype Networks ICML 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NIPS 2024 Better Zero-Shot Reasoning with Role-Play Prompting NAACL 2024 Slight Corruption in Pre-training Data Makes Better Diffusion Models NIPS 2024 Cost-efficient Knowledge-based Question Answering with Large Language Models NIPS 2024 You’ve Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction RSS 2024 Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation NIPS 2024 Improved Generation of Adversarial Examples Against Safety-aligned LLMs NIPS 2024 A General Framework for Learning from Weak Supervision ICML 2024 Completing Visual Objects via Bridging Generation and Segmentation ICML 2024 Floating Anchor Diffusion Model for Multi-motif Scaffolding ICML 2024 A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking NIPS 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers NIPS 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024 Prune and Repaint: Content-Aware Image Retargeting for any Ratio NIPS 2024 Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts ECCV 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NIPS 2024 Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NIPS 2024 A Simple Image Segmentation Framework via In-Context Examples NIPS 2024 Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM ACL 2024 Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024 AgentReview: Exploring Peer Review Dynamics with LLM Agents EMNLP 2024 Teaching Small Language Models Reasoning through Counterfactual Distillation EMNLP 2024 The Program Testing Ability of Large Language Models for Code EMNLP 2024 Code Representation Pre-training with Complements from Program Executions EMNLP 2024 Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search EMNLP 2024 Aligning Medical Images with General Knowledge from Large Language Models MICCAI 2024 Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model MICCAI 2024 BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification MICCAI 2024 Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis MICCAI 2024 Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging MICCAI 2024 Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification MICCAI 2024 Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training MICCAI 2024 Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging MICCAI 2024 HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction MICCAI 2024 Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification MICCAI 2024 LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024 Enhancing Explainable Rating Prediction through Annotated Macro Concepts ACL 2024 Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NIPS 2024 Pixel Matching Network for Cross-Domain Few-Shot Segmentation WACV 2024 Generative Active Learning for Long-tailed Instance Segmentation ICML 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents ICML 2024 Towards a Self-contained Data-driven Global Weather Forecasting Framework ICML 2024 Video Frame Interpolation via Direct Synthesis with the Event-based Reference CVPR 2024 360+x: A Panoptic Multi-modal Scene Understanding Dataset CVPR 2024 PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data CVPR 2024 FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition CVPR 2024 VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis CVPR 2024 KnowGPT: Knowledge Graph based Prompting for Large Language Models NIPS 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination NIPS 2024 R^2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations ECCV 2024 MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology MICCAI 2024 MoME: Mixture of Multimodal Experts for Cancer Survival Prediction MICCAI 2024 Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images MICCAI 2024 Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective MICCAI 2024 Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection MICCAI 2024 Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition MICCAI 2024 TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification MICCAI 2024 XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization MICCAI 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024 Revisiting Open-Set Panoptic Segmentation AAAI 2024 FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior ECCV 2024 Fast Encoding and Decoding for Implicit Video Representation ECCV 2024 Self-Supervised Video Desmoking for Laparoscopic Surgery ECCV 2024 Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL ECCV 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ICLR 2024 Object-Aware Inversion and Reassembly for Image Editing ICLR 2024 Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction ICLR 2024 Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching ICLR 2024 De novo Protein Design Using Geometric Vector Field Networks ICLR 2024 Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning AAAI 2024 PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation AAAI 2024 DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models NIPS 2023 Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NIPS 2023 Improving Adversarial Transferability via Intermediate-level Perturbation Decay NIPS 2023 Rethinking and Improving Multi-task Learning for End-to-end Speech Translation EMNLP 2023 Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image ICCV 2023 Cross-Modal Translation and Alignment for Survival Analysis ICCV 2023 CTVIS: Consistent Training for Online Video Instance Segmentation ICCV 2023 MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering ICCV 2023 FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models ICCV 2023 Traj-MAE: Masked Autoencoders for Trajectory Prediction ICCV 2023 Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction ICCV 2023 SegPrompt: Boosting Open-World Segmentation via Category-Level Prompt Learning ICCV 2023 Multi-view Self-supervised Disentanglement for General Image Denoising ICCV 2023 Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples ICLR 2023 Squeeze Training for Adversarial Robustness ICLR 2023 FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023 SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023 Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 PromptRank: Unsupervised Keyphrase Extraction Using Prompt ACL 2023 USSA: A Unified Table Filling Scheme for Structured Sentiment Analysis ACL 2023 Understanding Programs by Exploiting (Fuzzing) Test Cases ACL 2023 The NiuTrans End-to-End Speech Translation System for IWSLT23 English-to-Chinese Offline Task ACL 2023 A new ranking scheme for modern data and its application to two-sample hypothesis testing COLT 2023 Towards Scalable Neural Representation for Diverse Videos CVPR 2023 Learning Conditional Attributes for Compositional Zero-Shot Learning CVPR 2023 DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation CVPR 2023 Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures CVPR 2023 Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding CVPR 2023 Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization CVPR 2023 HNeRV: A Hybrid Neural Representation for Videos CVPR 2023 Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes CVPR 2023 Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification IJCAI 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NIPS 2023 A Voxel Graph CNN for Object Classification With Event Cameras CVPR 2022 What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions CVPR 2022 COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction EMNLP 2022 Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs EMNLP 2022 Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022 Uni6D: A Unified CNN Framework Without Projection Breakdown for 6D Pose Estimation CVPR 2022 Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars ECCV 2022 "Unitail: Detecting, Reading, and Matching in Retail Scene" ECCV 2022 An In-depth Study of Stochastic Backpropagation NIPS 2022 NUTA: Non-Uniform Temporal Aggregation for Action Recognition WACV 2022 Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction ACL 2022 Enhanced Representation with Contrastive Loss for Long-Tail Query Classification in e-commerce ACL 2022 Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models CVPR 2022 TubeR: Tubelet Transformer for Video Action Detection CVPR 2022 SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation WACV 2022 USB: A Unified Semi-supervised Learning Benchmark for Classification NIPS 2022 VidTr: Video Transformer Without Convolutions ICCV 2021 Selective Feature Compression for Efficient Activity Recognition Inference ICCV 2021 Enhancing Diversity in Teacher-Student Networks via Asymmetric Branches for Unsupervised Person Re-Identification WACV 2021 Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis ACL 2021 ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning ACL 2021 AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction IJCAI 2021 Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis IJCNLP 2021 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021 Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification CVPR 2021 The Lottery Ticket Hypothesis for Object Recognition CVPR 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies CVPR 2021 BoxInst: High-Performance Instance Segmentation With Box Annotations CVPR 2021 ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning SEMEVAL 2021 Dialog Router: Automated Dialog Transition via Multi-Task Learning AAAI 2021 ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning IJCNLP 2021 Long Short-Term Transformer for Online Action Detection NIPS 2021 NeRV: Neural Representations for Videos NIPS 2021 ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification ICCV 2021 Backpropagating Linearly Improves Transferability of Adversarial Examples NIPS 2020 BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation CVPR 2020 Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising CVPR 2020 Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes NIPS 2020 Practical No-box Adversarial Attacks against DNNs NIPS 2020 Yet Another Intermediate-Level Attack ECCV 2020 Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification WACV 2020 Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking ICLR 2020 NAS-FCOS: Fast Neural Architecture Search for Object Detection CVPR 2020 3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning ECCV 2020 Conditional Convolutions for Instance Segmentation ECCV 2020 ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network CVPR 2020 Architecture Search of Dynamic Cells for Semantic Video Segmentation WACV 2020 Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation AAAI 2019 Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes ICCV 2019 Explaining Neural Networks Semantically and Quantitatively ICCV 2019 Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation IJCAI 2019 Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019 FCOS: Fully Convolutional One-Stage Object Detection ICCV 2019 DeltaDou: Expert-level Doudizhu AI through Self-play IJCAI 2019 Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells CVPR 2019 Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection CVPR 2018 A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension EMNLP 2018 Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss IJCAI 2018 Realizing the Fault-Tolerance Promise of Cloud Storage Using Locks with Intent OSDI 2016 DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation CVPR 2016 CertiKOS: An Extensible Architecture for Building Certified Concurrent OS Kernels OSDI 2016 Square Localization for Efficient and Accurate Object Detection ICCV 2015