Yu Wang
276 papers · 2010–2026 · 24 conferences · across top CS/AI conferences
Achievements
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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)
Top co-authors
Research topics
Keywords
large language model
(23)
knowledge distillation
(12)
graph neural network
(11)
representation learning
(11)
contrastive learning
(10)
self-supervised learning
(10)
multimodal learning
(10)
attention mechanism
(8)
semantic segmentation
(8)
vision-language model
(8)
catastrophic forgetting
(7)
continual learning
(7)
domain adaptation
(7)
model compression
(7)
semi-supervised learning
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diffusion model
(6)
question answering
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natural language understanding
(5)
knowledge graph
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adversarial attack
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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