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Yu Wang

276 papers · 2010–2026 · 24 conferences · across top CS/AI conferences

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Conferences

AAAI (42) ACL (34) EMNLP (29) CVPR (26) ICML (24) NIPS (23) INTERSPEECH (16) ICLR (16) ICCV (13) ECCV (12) NAACL (7) IJCAI (6) MICCAI (4) COLING (4) IJCNLP (3) JMLR (3) MIDL (3) WACV (3) CORL (2) AISTATS (2) EACL (1) L4DC (1) SEMEVAL (1) UAI (1)

Papers

A Survey on LLM-based Conversational User Simulation EACL 2026 GateFusion: Hierarchical Gated Cross-Modal Fusion for Active Speaker Detection WACV 2026 SCR$^2$-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning MIDL 2026 Eye Movement Features Can Predict Human Preferences on Machine-Generated Texts ACL 2026 Evolutionary Negative Module Pruning for Better LoRA Merging ACL 2026 NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution Policy ACL 2026 ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents ACL 2026 FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation ACL 2026 When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs ACL 2026 Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs ACL 2026 Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks ACL 2026 Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from Demonstratives ACL 2026 SLoRA: Balancing Plasticity and Forgetting in Large Language Models for Continual Learning ACL 2026 Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models ACL 2026 Miner: Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models ACL 2026 AwarenessBench: Assessing Cognitive Capabilities of Language Models ACL 2026 Identifying the Periodicity of Information in Natural Language ACL 2026 Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning AAAI 2026 MedS³: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision AAAI 2026 Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026 AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers AAAI 2026 Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification AAAI 2026 RSPlace: Rotation Sensing Macro Placement via Bidirectional Tree Expansion AAAI 2026 Neural Graph Navigation for Intelligent Subgraph Matching AAAI 2026 Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing MIDL 2026 FracSegmentator: Fracture Instance Segmentation with Trauma-Prior-Guided Contrastive Learning AAAI 2026 GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration AAAI 2026 Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models NAACL 2025 Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning CORL 2025 Holistic Semantic Representation for Navigational Trajectory Generation AAAI 2025 AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation AAAI 2025 Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective AAAI 2025 Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant” AAAI 2025 Jailbreak Large Vision-Language Models Through Multi-Modal Linkage ACL 2025 ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents ACL 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications ACL 2025 EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge ACL 2025 Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives ACL 2025 Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases ACL 2025 GUI Agents: A Survey ACL 2025 Take the Bull by the Horns: Learning to Segment Hard Samples CVPR 2025 Continual SFT Matches Multimodal RLHF with Negative Supervision CVPR 2025 Probabilistic Prompt Distribution Learning for Animal Pose Estimation CVPR 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models CVPR 2025 SVDC: Consistent Direct Time-of-Flight Video Depth Completion with Frequency Selective Fusion CVPR 2025 Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds CVPR 2025 ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics CVPR 2025 Theorem-Validated Reverse Chain-of-Thought Problem Generation for Geometric Reasoning EMNLP 2025 DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction EMNLP 2025 CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025 Examining False Positives under Inference Scaling for Mathematical Reasoning EMNLP 2025 VocalNet: Speech LLMs with Multi-Token Prediction for Faster and High-Quality Generation EMNLP 2025 DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models EMNLP 2025 Empowering GraphRAG with Knowledge Filtering and Integration EMNLP 2025 Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance EMNLP 2025 RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning EMNLP 2025 Efficient Inference for Large Language Models –Algorithm, Model, and System EMNLP 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 Evaluating Text Generation Quality Using Spectral Distances of Surprisal EMNLP 2025 Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning EMNLP 2025 The Security Threat of Compressed Projectors in Large Vision-Language Models EMNLP 2025 DLFR-Gen: Diffusion-based Video Generation with Dynamic Latent Frame Rate ICCV 2025 Rethinking the Upsampling Process in Light Field Super-Resolution with Spatial-Epipolar Implicit Image Function ICCV 2025 DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers ICCV 2025 FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models ICCV 2025 DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image ICCV 2025 HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery ICCV 2025 Long-Tailed Classification with Multi-Granularity Semantics ICCV 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better ICLR 2025 Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching ICLR 2025 A Large-scale Training Paradigm for Graph Generative Models ICLR 2025 Fine-tuning with Reserved Majority for Noise Reduction ICLR 2025 Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping ICLR 2025 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation ICLR 2025 Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding ICLR 2025 Large Scale Knowledge Washing ICLR 2025 Self-Updatable Large Language Models by Integrating Context into Model Parameters ICLR 2025 Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models ICML 2025 Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers ICML 2025 Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network ICML 2025 PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction ICML 2025 Schwarz–Schur Involution: Lightspeed Differentiable Sparse Linear Solvers ICML 2025 Learning Event Completeness for Weakly Supervised Video Anomaly Detection ICML 2025 M+: Extending MemoryLLM with Scalable Long-Term Memory ICML 2025 Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization ICML 2025 Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration ICML 2025 Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving ICML 2025 Run Like a Neural Network, Explain Like k-Nearest Neighbor IJCAI 2025 Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach IJCAI 2025 Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025 Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts MICCAI 2025 Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning MICCAI 2025 UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound MICCAI 2025 QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models NAACL 2025 Demystifying the Power of Large Language Models in Graph Generation NAACL 2025 Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation NAACL 2025 MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics MIDL 2025 Position: Towards Implicit Prompt For Text-To-Image Models ICML 2024 Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game ICML 2024 MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception ACL 2024 Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation ICLR 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024 A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models ICLR 2024 Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024 Annotation-Free Audio-Visual Segmentation WACV 2024 MEMORYLLM: Towards Self-Updatable Large Language Models ICML 2024 Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding ICML 2024 Evaluating Quantized Large Language Models ICML 2024 Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation ICML 2024 TAIA: Large Language Models are Out-of-Distribution Data Learners NIPS 2024 Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures NIPS 2024 Rad-NeRF: Ray-decoupled Training of Neural Radiance Field NIPS 2024 M3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset ACL 2024 Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation AAAI 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery AAAI 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization ECCV 2024 AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting ECCV 2024 LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction ECCV 2024 ParCo: Part-Coordinating Text-to-Motion Synthesis ECCV 2024 Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector ECCV 2024 Knowledge Graph Prompting for Multi-Document Question Answering AAAI 2024 Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering AAAI 2024 Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024 UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024 Binding-Adaptive Diffusion Models for Structure-Based Drug Design AAAI 2024 Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning AAAI 2024 FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models CVPR 2024 PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation CVPR 2024 KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling CVPR 2024 Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models COLING 2024 Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview COLING 2024 Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood EMNLP 2024 RA2FD: Distilling Faithfulness into Efficient Dialogue Systems EMNLP 2024 MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation EMNLP 2024 HSDreport: Heart Sound Diagnosis with Echocardiography Reports EMNLP 2024 CE-VDG: Counterfactual Entropy-based Bias Reduction for Video-grounded Dialogue Generation COLING 2024 Automatic Quote Attribution in Chinese Literary Works ACL 2024 Towards an End-to-End Framework for Invasive Brain Signal Decoding with Large Language Models INTERSPEECH 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024 Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024 On the uniqueness of solution for the Bellman equation of LTL objectives L4DC 2024 HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis MICCAI 2024 Exploring Diverse Representations for Open Set Recognition AAAI 2024 H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion AAAI 2024 V2Meow: Meowing to the Visual Beat via Video-to-Music Generation AAAI 2024 SuperJunction: Learning-Based Junction Detection for Retinal Image Registration AAAI 2024 DiTFastAttn: Attention Compression for Diffusion Transformer Models NIPS 2024 What Matters in Graph Class Incremental Learning? An Information Preservation Perspective NIPS 2024 SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning NIPS 2024 CF-TCIR: A Compositor-Free Framework for Hierarchical Text-Conditioned Image Retrieval ACL 2024 DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics ACL 2024 When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach CVPR 2024 SDA: Semantic Discrepancy Alignment for Text-conditioned Image Retrieval ACL 2024 How Much Does Nonverbal Communication Conform to Entropy Rate Constancy?: A Case Study on Listener Gaze in Interaction ACL 2024 WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking NIPS 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024 Persistence Homology Distillation for Semi-supervised Continual Learning NIPS 2024 DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NIPS 2024 High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling ICML 2024 Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration ICML 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning WACV 2024 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023 Contrastive Learning Based ASR Robust Knowledge Selection For Spoken Dialogue System INTERSPEECH 2023 Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis EMNLP 2023 MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation EMNLP 2023 We Need to Talk About Reproducibility in NLP Model Comparison EMNLP 2023 Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation EMNLP 2023 Does Listener Gaze in Face-to-Face Interaction Follow the Entropy Rate Constancy Principle: An Empirical Study EMNLP 2023 Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation INTERSPEECH 2023 Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition INTERSPEECH 2023 RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation ICCV 2023 Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection ICCV 2023 Learning Concise and Descriptive Attributes for Visual Recognition ICCV 2023 Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation ICCV 2023 Detecting Objects with Context-Likelihood Graphs and Graph Refinement ICCV 2023 Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased ICLR 2023 OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models ICML 2023 Boosting Graph Contrastive Learning via Graph Contrastive Saliency ICML 2023 Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning NIPS 2023 Memory-Oriented Structural Pruning for Efficient Image Restoration AAAI 2023 LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception AAAI 2023 Online Semi-supervised Learning with Mix-Typed Streaming Features AAAI 2023 AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution AAAI 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” AAAI 2023 Fairness and Explainability: Bridging the Gap towards Fair Model Explanations AAAI 2023 Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery AAAI 2023 Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness AAAI 2023 A Targeted Accuracy Diagnostic for Variational Approximations AISTATS 2023 Spatial-Temporal Concept Based Explanation of 3D ConvNets CVPR 2023 DartBlur: Privacy Preservation With Detection Artifact Suppression CVPR 2023 Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation CVPR 2023 Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms CVPR 2023 Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation CVPR 2023 Enhanced Multimodal Representation Learning With Cross-Modal KD CVPR 2023 Improving Out-of-Distribution Robustness via Selective Augmentation ICML 2022 Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis INTERSPEECH 2022 Active Few-Shot Learning for Sound Event Detection INTERSPEECH 2022 A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning NAACL 2022 SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement ECCV 2022 Robust Cough Feature Extraction and Classification Method for COVID-19 Cough Detection Based on Vocalization Characteristics INTERSPEECH 2022 Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition INTERSPEECH 2022 Controlling Bias Exposure for Fair Interpretable Predictions EMNLP 2022 Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022 Robust End-to-end Speaker Diarization with Generic Neural Clustering INTERSPEECH 2022 Out-of-Distribution Detection via Conditional Kernel Independence Model NIPS 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 LAR-SR: A Local Autoregressive Model for Image Super-Resolution CVPR 2022 Learning Efficient Multi-agent Cooperative Visual Exploration ECCV 2022 CenterFormer: Center-based Transformer for 3D Object Detection ECCV 2022 CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS ECCV 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures NIPS 2022 The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games NIPS 2022 CodedVTR: Codebook-Based Sparse Voxel Transformer With Geometric Guidance CVPR 2022 Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration NIPS 2021 Explicit pairwise factorized graph neural network for semi-supervised node classification UAI 2021 Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization ICLR 2021 Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL ACL 2021 MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation ACL 2021 Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction AAAI 2021 Mobile-based Clock Drawing Test for Detecting Early Signs of Dementia AAAI 2021 A Style and Semantic Memory Mechanism for Domain Generalization ICCV 2021 Adversarial Robustness Under Long-Tailed Distribution CVPR 2021 Domain-Specific Suppression for Adaptive Object Detection CVPR 2021 Track To Detect and Segment: An Online Multi-Object Tracker CVPR 2021 Meta-learning with an Adaptive Task Scheduler NIPS 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NIPS 2021 Evaluating Efficient Performance Estimators of Neural Architectures NIPS 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NIPS 2021 MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation SEMEVAL 2021 SG-PALM: a Fast Physically Interpretable Tensor Graphical Model ICML 2021 MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation IJCNLP 2021 Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL IJCNLP 2021 Learning to Adapt to Evolving Domains NIPS 2020 Spoken Language ‘Grammatical Error Correction’ INTERSPEECH 2020 Learning a Unified Sample Weighting Network for Object Detection CVPR 2020 Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning JMLR 2020 How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? EMNLP 2020 HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction EMNLP 2020 CooBa: Cross-project Bug Localization via Adversarial Transfer Learning IJCAI 2020 Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction ACL 2020 The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2020 A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS ECCV 2020 Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets ECCV 2020 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation ECCV 2020 Non-Native Children’s Automatic Speech Recognition: The INTERSPEECH 2020 Shared Task ALTA Systems INTERSPEECH 2020 An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System INTERSPEECH 2020 The Sylvester Graphical Lasso (SyGlasso) AISTATS 2020 Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes CORL 2020 UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training ICML 2020 Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks AAAI 2020 Joint Contrastive Learning with Infinite Possibilities NIPS 2020 Single Training Dimension Selection for Word Embedding with PCA IJCNLP 2019 A Debiased MDI Feature Importance Measure for Random Forests NIPS 2019 Unified Language Model Pre-training for Natural Language Understanding and Generation NIPS 2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation CVPR 2019 A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System AAAI 2019 Single Training Dimension Selection for Word Embedding with PCA EMNLP 2019 Deep Propagation Based Image Matting IJCAI 2018 Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training ICLR 2018 A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling NAACL 2018 Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models JMLR 2018 A New Concept of Deep Reinforcement Learning based Augmented General Tagging System COLING 2018 A Neural Transition-based Model for Nested Mention Recognition EMNLP 2018 Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem Systems INTERSPEECH 2018 Impact of ASR Performance on Free Speaking Language Assessment INTERSPEECH 2018 A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU) INTERSPEECH 2018 User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks INTERSPEECH 2018 Fast Change Point Detection on Dynamic Social Networks IJCAI 2017 Off-topic Response Detection for Spontaneous Spoken English Assessment ACL 2016 Multi-Task Learning for Subspace Segmentation ICML 2015 Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation IJCAI 2013 Query Ambiguity Revisited: Clickthrough Measures for Distinguishing Informational and Ambiguous Queries NAACL 2010