Wei Wang
415 papers · 2002–2026 · 23 conferences · across top CS/AI conferences
Achievements
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Prolific Year
(25)
Conferences
AAAI (107)
ACL (52)
EMNLP (49)
IJCAI (35)
NIPS (23)
CVPR (23)
ICCV (18)
ICML (17)
NAACL (15)
ICLR (15)
ECCV (14)
MICCAI (10)
NSDI (7)
COLING (6)
IJCNLP (6)
INTERSPEECH (6)
WACV (4)
CONLL (2)
JMLR (2)
COLT (1)
ACML (1)
AACL (1)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
large language model
(45)
representation learning
(17)
domain adaptation
(16)
multimodal learning
(16)
contrastive learning
(15)
self-supervised learning
(14)
data augmentation
(14)
text classification
(13)
attention mechanism
(12)
graph neural network
(12)
few-shot learning
(12)
image restoration
(10)
semi-supervised learning
(9)
model compression
(9)
multi-task learning
(9)
adversarial attack
(9)
unsupervised learning
(9)
named entity recognition
(8)
convolutional neural network
(8)
knowledge distillation
(8)
Papers
Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference
ACL 2026
PLAWBENCH: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice
ACL 2026
EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence
ACL 2026
RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis
AAAI 2026
Diagnosing and Remedying Representation Deficiencies for Deterministic Reasoning in KGQA
ACL 2026
Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models
ACL 2026
Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
ACL 2026
RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems
ACL 2026
Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
AAAI 2026
SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
AAAI 2026
Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
AAAI 2026
Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty
AAAI 2026
ConstructAI: From Real-Time Safety Insight to Skill Growth in Deployed Construction AI Systems
AAAI 2026
M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference
AAAI 2026
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
AAAI 2026
Adaptive Hallucination Alleviation in Multimodal Large Language Models: From Strategic Data Selection to Severity-Guided Training
AAAI 2026
MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolution
AAAI 2026
Mind the Gap: The Divergence Between Human and LLM-Generated Tasks
AAAI 2026
MPA: Multimodal Prototype Augmentation for Few-Shot Learning
AAAI 2026
Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective
AAAI 2026
CoordAR: One-Reference 6D Pose Estimation of Novel Objects via Autoregressive Coordinate Map Generation
AAAI 2026
From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
AAAI 2026
SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal
AAAI 2026
ICLR: Inter-Chrominance and Luminance Interaction for Natural Color Restoration in Low-Light Image Enhancement
AAAI 2026
RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion
AAAI 2026
Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis
AAAI 2026
Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection
AAAI 2026
Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
AAAI 2026
KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving
AAAI 2026
Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training
ACL 2026
Detecting Conversational Mental Manipulation with Intent-Aware Prompting
COLING 2025
Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity
COLT 2025
Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction
MICCAI 2025
SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity
EMNLP 2025
When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning
EMNLP 2025
Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps
EMNLP 2025
How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective
EMNLP 2025
Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement
EMNLP 2025
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
EMNLP 2025
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
EMNLP 2025
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
EMNLP 2025
Can GRPO Boost Complex Multimodal Table Understanding?
EMNLP 2025
Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence
EMNLP 2025
Detoxifying Large Language Models via the Diversity of Toxic Samples
EMNLP 2025
Dialect-SQL: An Adaptive Framework for Bridging the Dialect Gap in Text-to-SQL
EMNLP 2025
DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation
EMNLP 2025
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection
IJCAI 2025
Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization
IJCAI 2025
Rethink GraphODE Generalization within Coupled Dynamical System
ICML 2025
Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models
ICML 2025
GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
ICML 2025
Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time
ICML 2025
PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning
EMNLP 2025
CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
ICML 2025
AgentRefine: Enhancing Agent Generalization through Refinement Tuning
ICLR 2025
Mixture of In-Context Prompters for Tabular PFNs
ICLR 2025
Influence-Guided Diffusion for Dataset Distillation
ICLR 2025
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
ICLR 2025
Realistic Evaluation of Deep Partial-Label Learning Algorithms
ICLR 2025
Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection
AAAI 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
AAAI 2025
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
AAAI 2025
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
AAAI 2025
Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance
AAAI 2025
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography
AAAI 2025
SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection
AAAI 2025
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
AAAI 2025
Intra and Inter Parser-Prompted Transformers for Effective Image Restoration
AAAI 2025
A Lightweight Sparse Interaction Network for Time Series Forecasting
AAAI 2025
Multi-view Evidential Learning-based Medical Image Segmentation
AAAI 2025
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
AAAI 2025
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
AAAI 2025
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
AAAI 2025
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
AAAI 2025
Security Attacks on LLM-based Code Completion Tools
AAAI 2025
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation
AAAI 2025
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
AAAI 2025
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health
AAAI 2025
Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving
AAAI 2025
XCotton: Advancing AI-Enabled Hardware/Software Integrated System for Foreign Fiber Cleaning
AAAI 2025
MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
ICML 2025
GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale
NSDI 2025
Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators
IJCAI 2025
HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection
IJCAI 2025
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction
IJCAI 2025
From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs
NAACL 2025
UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model
NAACL 2025
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
NAACL 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
IJCAI 2025
NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities
EMNLP 2025
Protein Large Language Models: A Comprehensive Survey
EMNLP 2025
FinDebate: Multi-Agent Collaborative Intelligence for Financial Analysis
EMNLP 2025
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation
IJCAI 2025
SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusion
IJCAI 2025
MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud
IJCAI 2025
ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers
IJCAI 2025
Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content
CVPR 2025
Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network
CVPR 2025
IDEA-Bench: How Far are Generative Models from Professional Designing?
CVPR 2025
Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline
MICCAI 2025
Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis
MICCAI 2025
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
MICCAI 2025
Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
MICCAI 2025
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
MICCAI 2025
Learning Robust Image Watermarking with Lossless Cover Recovery
ICCV 2025
S3E: Self-Supervised State Estimation for Radar-Inertial System
ICCV 2025
OVG-HQ: Online Video Grounding with Hybrid-modal Queries
ICCV 2025
Bayesian Active Learning for Bivariate Causal Discovery
ICML 2025
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
ACL 2025
AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
ACL 2025
Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection
ACL 2025
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry
ACL 2025
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
ACL 2025
A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions
ACL 2025
IntelliCockpitBench: A Comprehensive Benchmark to Evaluate VLMs for Intelligent Cockpit
ACL 2025
Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning
ACL 2025
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
ACL 2025
CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories
NAACL 2025
Gen-SQL: Efficient Text-to-SQL By Bridging Natural Language Question And Database Schema With Pseudo-Schema
COLING 2025
When Evolution Strategy Meets Language Models Tuning
COLING 2025
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness
EMNLP 2024
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
ICLR 2024
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
ICLR 2024
Addressing Signal Delay in Deep Reinforcement Learning
ICLR 2024
VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
ICML 2024
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
ICML 2024
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
ICML 2024
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
ICML 2024
Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
ICML 2024
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis
AAAI 2024
A Unified Environmental Network for Pedestrian Trajectory Prediction
AAAI 2024
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
AAAI 2024
Correlation Matching Transformation Transformers for UHD Image Restoration
AAAI 2024
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
AAAI 2024
Learning Dense Correspondence for NeRF-Based Face Reenactment
AAAI 2024
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures
AAAI 2024
Generalizing across Temporal Domains with Koopman Operators
AAAI 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
AAAI 2024
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
AAAI 2024
MathAttack: Attacking Large Language Models towards Math Solving Ability
AAAI 2024
Depression Detection via Capsule Networks with Contrastive Learning
AAAI 2024
DCV2I: A Practical Approach for Supporting Geographersβ Visual Interpretation in Dune Segmentation with Deep Vision Models
AAAI 2024
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
AAAI 2024
Neural Image Compression Using Masked Sparse Visual Representation
WACV 2024
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
SEMEVAL 2024
AutoSketch: Automatic Sketch-Oriented Compiler for Query-driven Network Telemetry
NSDI 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
NIPS 2024
Stealth edits to large language models
NIPS 2024
The Limits of Differential Privacy in Online Learning
NIPS 2024
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
ACL 2024
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
ACL 2024
InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews
ACL 2024
Improving Event Definition Following For Zero-Shot Event Detection
ACL 2024
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
ACL 2024
Learning to Edit: Aligning LLMs with Knowledge Editing
ACL 2024
The PGNSC Benchmark: How Do We Predict Where Information Spreads?
ACL 2024
Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection
ACL 2024
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
NAACL 2024
Solving General Natural-Language-Description Optimization Problems with Large Language Models
NAACL 2024
Stock Price Prediction with Sentiment Analysis for Chinese Market
COLING 2024
Event Detection from Social Media for Epidemic Prediction
NAACL 2024
Mitigating Bias for Question Answering Models by Tracking Bias Influence
NAACL 2024
IterAlign: Iterative Constitutional Alignment of Large Language Models
NAACL 2024
TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields
MICCAI 2024
Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography
MICCAI 2024
LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation
MICCAI 2024
Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment
MICCAI 2024
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
NIPS 2024
Proving Olympiad Algebraic Inequalities without Human Demonstrations
NIPS 2024
LucidAction: A Hierarchical and Multi-model Dataset for Comprehensive Action Quality Assessment
NIPS 2024
Non-Euclidean Mixture Model for Social Network Embedding
NIPS 2024
No More Ambiguity in 360deg Room Layout via Bi-Layout Estimation
CVPR 2024
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
JMLR 2024
MultiGen: Zero-shot Image Generation from Multi-modal Prompts
ECCV 2024
S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis
ECCV 2024
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence
ECCV 2024
Diffusion for Natural Image Matting
ECCV 2024
Delving into Adversarial Robustness on Document Tampering Localization
ECCV 2024
Chains of Diffusion Models
ECCV 2024
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
IJCAI 2024
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game
IJCAI 2024
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
NIPS 2024
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
EMNLP 2024
Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 2024
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
EMNLP 2024
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
EMNLP 2024
Revealing COVID-19βs Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter
EMNLP 2024
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
EMNLP 2024
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning
IJCAI 2024
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation
IJCAI 2024
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks
IJCAI 2024
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making
ACL 2023
PEER: Pre-training ELECTRA Extended by Ranking
ACL 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
IJCAI 2023
OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World
AAAI 2023
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning
AAAI 2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
ICML 2023
Householder Projector for Unsupervised Latent Semantics Discovery
ICCV 2023
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field
ICCV 2023
Semi-Supervised Domain Generalization with Known and Unknown Classes
NIPS 2023
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
NIPS 2023
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation
CVPR 2023
HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
CVPR 2023
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation
CVPR 2023
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers
CVPR 2023
RRHF: Rank Responses to Align Language Models with Human Feedback
NIPS 2023
Prompt-based Zero-shot Text Classification with Conceptual Knowledge
ACL 2023
DICE: Data-Efficient Clinical Event Extraction with Generative Models
ACL 2023
Introducing Semantics into Speech Encoders
ACL 2023
PromptRestorer: A Prompting Image Restoration Method with Degradation Perception
NIPS 2023
Text Only Domain Adaptation with Phoneme Guided Data Splicing for End-to-End Speech Recognition
INTERSPEECH 2023
UniSplice: Universal Cross-Lingual Data Splicing for Low-Resource ASR
INTERSPEECH 2023
Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction
AAAI 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment
AAAI 2023
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
AAAI 2023
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
AAAI 2023
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
ICML 2023
Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition
INTERSPEECH 2023
Universality and Limitations of Prompt Tuning
NIPS 2023
Binary Classification with Confidence Difference
NIPS 2023
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
NSDI 2023
Lion: Adversarial Distillation of Proprietary Large Language Models
EMNLP 2023
Learning under Label Proportions for Text Classification
EMNLP 2023
LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions
ICCV 2023
Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing
NSDI 2023
Bidirectional Alignment for Domain Adaptive Detection with Transformers
ICCV 2023
Graph-based Molecular Representation Learning
IJCAI 2023
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps
IJCAI 2023
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
IJCAI 2023
Learning by Analogy: Diverse Questions Generation in Math Word Problem
ACL 2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
ACL 2023
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition
ACL 2023
Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract)
AAAI 2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
NIPS 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
NIPS 2022
Collaborative Learning by Detecting Collaboration Partners
NIPS 2022
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
ACL 2022
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering
ACL 2022
Language-agnostic BERT Sentence Embedding
ACL 2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
ACL 2022
MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters
NSDI 2022
Fast Differentiable Matrix Square Root
ICLR 2022
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset
EMNLP 2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
EMNLP 2022
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
EMNLP 2022
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction
EMNLP 2022
Revisit Systematic Generalization via Meaningful Learning
EMNLP 2022
A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D
ECCV 2022
Combating Sampling Bias: A Self-Training Method in Credit Risk Models
AAAI 2022
Wasserstein Adversarial Transformer for Cloud Workload Prediction
AAAI 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes
AAAI 2022
Towards Fine-Grained Reasoning for Fake News Detection
AAAI 2022
Content-Variant Reference Image Quality Assessment via Knowledge Distillation
AAAI 2022
3D-Aware Semantic-Guided Generative Model for Human Synthesis
ECCV 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
ECCV 2022
Batch-Efficient EigenDecomposition for Small and Medium Matrices
ECCV 2022
Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality
ECCV 2022
Language Scaling for Universal Suggested Replies Model
NAACL 2021
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
NIPS 2021
Two-Stream Convolution Augmented Transformer for Human Activity Recognition
AAAI 2021
Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images
AAAI 2021
Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos
AAAI 2021
A Unified Pretraining Framework for Passage Ranking and Expansion
AAAI 2021
Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles
AAAI 2021
Multi-View Representation Learning with Manifold Smoothness
AAAI 2021
Learning to Copy Coherent Knowledge for Response Generation
AAAI 2021
Improving the Efficiency and Effectiveness for BERT-based Entity Resolution
AAAI 2021
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection
AAAI 2021
Open Domain Dialogue Generation with Latent Images
AAAI 2021
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
AAAI 2021
Is Each Layer Non-trivial in CNN? (Student Abstract)
AAAI 2021
A Dataset and Baselines for Multilingual Reply Suggestion
ACL 2021
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
ACL 2021
StructuralLM: Structural Pre-training for Form Understanding
ACL 2021
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction
ACL 2021
Exploring Adversarial Fake Images on Face Manifold
CVPR 2021
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
CVPR 2021
MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation
CVPR 2021
Locate Then Segment: A Strong Pipeline for Referring Image Segmentation
CVPR 2021
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer
EMNLP 2021
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
EMNLP 2021
Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations
EMNLP 2021
Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations
EMNLP 2021
Counterfactual Adversarial Learning with Representation Interpolation
EMNLP 2021
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?
ICCV 2021
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective
ICCV 2021
Towards Robustness of Deep Neural Networks via Regularization
ICCV 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
ICLR 2021
GLSearch: Maximum Common Subgraph Detection via Learning to Search
ICML 2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
ICML 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
IJCAI 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion
IJCAI 2021
A Dataset and Baselines for Multilingual Reply Suggestion
IJCNLP 2021
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
IJCNLP 2021
StructuralLM: Structural Pre-training for Form Understanding
IJCNLP 2021
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction
IJCNLP 2021
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition
INTERSPEECH 2021
Incorporating External POS Tagger for Punctuation Restoration
INTERSPEECH 2021
Empirical Bayes Matrix Factorization
JMLR 2021
Multi-Grained Knowledge Distillation for Named Entity Recognition
NAACL 2021
Verification and Redesign of OFDM Backscatter
NSDI 2021
Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction
WACV 2021
Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention
WACV 2021
Dynamic Routing Networks
WACV 2021
Using Small Business Banking Data for Explainable Credit Risk Scoring
AAAI 2020
Long Document Ranking with Query-Directed Sparse Transformer
EMNLP 2020
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
EMNLP 2020
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
EMNLP 2020
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
EMNLP 2020
Understanding Architectures Learnt by Cell-based Neural Architecture Search
ICLR 2020
Robust Graph Representation Learning via Neural Sparsification
ICML 2020
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
AAAI 2020
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
AAAI 2020
A Recurrent Model for Collective Entity Linking with Adaptive Features
AAAI 2020
Co-GCN for Multi-View Semi-Supervised Learning
AAAI 2020
Kinship Identification through Joint Learning using Kinship Verification Ensembles
ECCV 2020
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
ECCV 2020
Cross-Modal Cross-Domain Moment Alignment Network for Person Search
CVPR 2020
Single-Stage 6D Object Pose Estimation
CVPR 2020
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
AAAI 2020
Dynamic Malware Analysis with Feature Engineering and Feature Learning
AAAI 2020
RTN: Reparameterized Ternary Network
AAAI 2020
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection
AAAI 2020
One-Shot Image Classification by Learning to Restore Prototypes
AAAI 2020
Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations
AAAI 2020
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks
AAAI 2020
Recursively Binary Modification Model for Nested Named Entity Recognition
AAAI 2020
GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks
AAAI 2020
Integrating Linguistic Knowledge to Sentence Paraphrase Generation
AAAI 2020
HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition
AAAI 2020
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
AAAI 2020
Self-Supervised Learning for Pairwise Data Refinement
AACL 2020
Learning a Multi-Domain Curriculum for Neural Machine Translation
ACL 2020
βThe Boating Store Had Its Best Sail Everβ: Pronunciation-attentive Contextualized Pun Recognition
ACL 2020
VMscatter: A Versatile MIMO Backscatter
NSDI 2020
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
NIPS 2020
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
NIPS 2020
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
ICLR 2020
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks
ICLR 2020
Backpropagation-Friendly Eigendecomposition
NIPS 2019
Incorporating External Knowledge into Machine Reading for Generative Question Answering
IJCNLP 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
IJCNLP 2019
How to Best Use Syntax in Semantic Role Labelling
ACL 2019
Recurrent U-Net for Resource-Constrained Segmentation
ICCV 2019
Large Scale Personalized Categorization of Financial Transactions
AAAI 2019
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
ACL 2019
Enhancing Air Quality Prediction with Social Media and Natural Language Processing
ACL 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by βCo-Curricular Learningβ for Neural Machine Translation
ACL 2019
CFSNet: Toward a Controllable Feature Space for Image Restoration
ICCV 2019
Transfer Learning for Sequences via Learning to Collocate
ICLR 2019
A Deep Cascade Model for Multi-Document Reading Comprehension
AAAI 2019
Improving MMD-GAN Training with Repulsive Loss Function
ICLR 2019
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints
AAAI 2019
Model-Agnostic Adversarial Detection by Random Perturbations
IJCAI 2019
Antonym-Synonym Classification Based on New Sub-Space Embeddings
AAAI 2019
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine
AAAI 2019
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
CVPR 2019
Joint Multi-Label Attention Networks for Social Text Annotation
NAACL 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
EMNLP 2019
Incorporating External Knowledge into Machine Reading for Generative Question Answering
EMNLP 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
IJCAI 2019
Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples
IJCAI 2019
Personalized Question Routing via Heterogeneous Network Embedding
AAAI 2019
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
AAAI 2019
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels
IJCAI 2019
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise
ICCV 2019
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking
NAACL 2018
Tri-net for Semi-Supervised Deep Learning
IJCAI 2018
An Adaptive Hierarchical Compositional Model for Phrase Embedding
IJCAI 2018
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection
EMNLP 2018
Learning Gender-Neutral Word Embeddings
EMNLP 2018
Interactions between Vowels and Nasal Codas in Mandarin Speakersβ Perception of Nasal Finals
INTERSPEECH 2018
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
ECCV 2018
M3: Multimodal Memory Modelling for Video Captioning
CVPR 2018
Every Smile Is Unique: Landmark-Guided Diverse Smile Generation
CVPR 2018
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
CVPR 2018
Multistage Adversarial Losses for Pose-Based Human Image Synthesis
CVPR 2018
Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering
ACL 2018
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data
ACL 2018
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification
CVPR 2017
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks
IJCAI 2017
Modeling Trajectories with Recurrent Neural Networks
IJCAI 2017
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing
IJCAI 2017
Entity Suggestion with Conceptual Expanation
IJCAI 2017
Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection
ICCV 2017
FoveaNet: Perspective-Aware Urban Scene Parsing
ICCV 2017
Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM
CVPR 2017
Makeup Like a Superstar: Deep Localized Makeup Transfer Network
IJCAI 2016
Recurrent Face Aging
CVPR 2016
KBQA: An Online Template Based Question Answering System over Freebase
IJCAI 2016
Learning Defining Features for Categories
IJCAI 2016
On Conceptual Labeling of a Bag of Words
IJCAI 2015
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning
ICCV 2015
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution
NIPS 2015
Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition
CVPR 2015
Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps
ICCV 2013
Co-Training with Insufficient Views
ACML 2013
Learning Coupled Feature Spaces for Cross-Modal Matching
ICCV 2013
Implicit Feature Detection via a Constrained Topic Model and SVM
EMNLP 2013
Community Answer Summarization for Multi-Sentence Question with Group L1 Regularization
ACL 2012
A Semi-Supervised Key Phrase Extraction Approach: Learning from Title Phrases through a Document Semantic Network
ACL 2010
Multi-View Active Learning in the Non-Realizable Case
NIPS 2010
11,001 New Features for Statistical Machine Translation
NAACL 2009
Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
EMNLP 2007
What Can Syntax-Based MT Learn from Phrase-Based MT?
EMNLP 2007
What Can Syntax-Based MT Learn from Phrase-Based MT?
CONLL 2007
Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
CONLL 2007
Scalable Inference and Training of Context-Rich Syntactic Translation Models
ACL 2006
SPMT: Statistical Machine Translation with Syntactified Target Language Phrases
EMNLP 2006
Scalable Inference and Training of Context-Rich Syntactic Translation Models
COLING 2006
Capitalizing Machine Translation
NAACL 2006
Improving Word Alignment Models using Structured Monolingual Corpora
EMNLP 2004
Structure Alignment Using Bilingual Chunking
COLING 2002