Wei Wang

407 papers · 2002–2026 · 23 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (23) 🗺️ Taxonomy Completionist (55) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🏃 Academic Marathon (23) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🏠 Conference Loyalist (85) 🌟 Keyword Trendsetter Combo (10) 🤝 Dynamic Duo (19) 👑 Triple Crown 🏆 Keyword Champion (2) 🏆 Grand Slam 👥 Mega-Team (22) 🔬 Deep Specialist (41) 📈 Trend Setter 🚀 Conference Pioneer 🔥 Unstoppable (11) ❓ The Questioner (10) 💎 Century Club (385) 🗃️ Keyword Collector (193) ⚡ Prolific Year (25)

Conferences

AAAI (107) EMNLP (49) ACL (44) 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

Yizhou Sun (19) Liang Wang (16) Bin Bi (15) Ming Yan (14) Tieniu Tan (13) Yi Wang (13) Nicu Sebe (13) Yanghua Xiao (12) Songfang Huang (12) Chenliang Li (11)

Research topics

Privacy (5) Reasoning (1) Optimization (1) Differential Privacy (1)

Keywords

large language model (40) representation learning (17) multimodal learning (16) domain adaptation (16) data augmentation (14) contrastive learning (14) self-supervised learning (14) text classification (13) attention mechanism (12) few-shot learning (12) graph neural network (12) image restoration (10) semi-supervised learning (9) model compression (9) multi-task learning (9) unsupervised learning (9) adversarial attack (9) knowledge distillation (8) named entity recognition (8) convolutional neural network (8)

Papers

Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection AAAI 2026

Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis AAAI 2026

ICLR: Inter-Chrominance and Luminance Interaction for Natural Color Restoration in Low-Light Image Enhancement AAAI 2026

SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal 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

ConstructAI: From Real-Time Safety Insight to Skill Growth in Deployed Construction AI Systems AAAI 2026

SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction AAAI 2026

Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection AAAI 2026

Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection AAAI 2026

CoordAR: One-Reference 6D Pose Estimation of Novel Objects via Autoregressive Coordinate Map Generation AAAI 2026

KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving AAAI 2026

Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty AAAI 2026

Adaptive Hallucination Alleviation in Multimodal Large Language Models: From Strategic Data Selection to Severity-Guided Training AAAI 2026

From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling AAAI 2026

Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026

Mind the Gap: The Divergence Between Human and LLM-Generated Tasks AAAI 2026

MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolution AAAI 2026

RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis AAAI 2026

Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation AAAI 2026

MPA: Multimodal Prototype Augmentation for Few-Shot Learning AAAI 2026

RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion AAAI 2026

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

MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product ICML 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

Realistic Evaluation of Deep Partial-Label Learning Algorithms ICLR 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

GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale NSDI 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

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

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories NAACL 2025

Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction MICCAI 2025

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation MICCAI 2025

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction MICCAI 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

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis MICCAI 2025

Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis MICCAI 2025

Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline MICCAI 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

Detecting Conversational Mental Manipulation with Intent-Aware Prompting COLING 2025

Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity COLT 2025

ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers IJCAI 2025

MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud IJCAI 2025

SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusion IJCAI 2025

MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation IJCAI 2025

Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025

IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025

Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network CVPR 2025

Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content CVPR 2025

DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction IJCAI 2025

HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection IJCAI 2025

Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators IJCAI 2025

Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization IJCAI 2025

Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection IJCAI 2025

CoSER: Coordinating LLM-Based Persona Simulation of Established Roles ICML 2025

Bayesian Active Learning for Bivariate Causal Discovery ICML 2025

DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation EMNLP 2025

Dialect-SQL: An Adaptive Framework for Bridging the Dialect Gap in Text-to-SQL EMNLP 2025

Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025

Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence EMNLP 2025

Can GRPO Boost Complex Multimodal Table Understanding? EMNLP 2025

Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models EMNLP 2025

QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models EMNLP 2025

MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses EMNLP 2025

Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement EMNLP 2025

How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective EMNLP 2025

Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps EMNLP 2025

When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning EMNLP 2025

SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 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

PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning EMNLP 2025

FinDebate: Multi-Agent Collaborative Intelligence for Financial Analysis EMNLP 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

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

Delving into Adversarial Robustness on Document Tampering Localization ECCV 2024

Chains of Diffusion Models ECCV 2024

Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach EMNLP 2024

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024

Stealth edits to large language models 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

Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models EMNLP 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

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

Revealing COVID-19’s 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

Stock Price Prediction with Sentiment Analysis for Chinese Market COLING 2024

Non-Euclidean Mixture Model for Social Network Embedding NIPS 2024

Enhancing Large Vision Language Models with Self-Training on Image Comprehension NIPS 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

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

A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression JMLR 2024

Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation ICML 2024

Addressing Signal Delay in Deep Reinforcement Learning ICLR 2024

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks ICLR 2024

Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World 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

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

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 Geographers’ 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

The Limits of Differential Privacy in Online Learning NIPS 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

No More Ambiguity in 360deg Room Layout via Bi-Layout Estimation CVPR 2024

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery EMNLP 2024

SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness EMNLP 2024

Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 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

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

D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field ICCV 2023

Semi-Supervised Domain Generalization with Known and Unknown Classes NIPS 2023

Universality and Limitations of Prompt Tuning NIPS 2023

LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions ICCV 2023

Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference NIPS 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

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023

Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection AAAI 2023

Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023

Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction AAAI 2023

A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning AAAI 2023

OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World AAAI 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

Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition INTERSPEECH 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

SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video ICML 2023

Lion: Adversarial Distillation of Proprietary Large Language Models EMNLP 2023

Learning under Label Proportions for Text Classification EMNLP 2023

Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing NSDI 2023

FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023

Householder Projector for Unsupervised Latent Semantics Discovery ICCV 2023

Introducing Semantics into Speech Encoders ACL 2023

DICE: Data-Efficient Clinical Event Extraction with Generative Models ACL 2023

Prompt-based Zero-shot Text Classification with Conceptual Knowledge ACL 2023

PEER: Pre-training ELECTRA Extended by Ranking ACL 2023

Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making ACL 2023

Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition ACL 2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs ACL 2023

Learning by Analogy: Diverse Questions Generation in Math Word Problem ACL 2023

Bidirectional Alignment for Domain Adaptive Detection with Transformers ICCV 2023

Binary Classification with Confidence Difference NIPS 2023

PromptRestorer: A Prompting Image Restoration Method with Degradation Perception NIPS 2023

RRHF: Rank Responses to Align Language Models with Human Feedback NIPS 2023

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters NSDI 2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment ACL 2022

Language-agnostic BERT Sentence Embedding ACL 2022

Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering ACL 2022

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction ACL 2022

Combating Sampling Bias: A Self-Training Method in Credit Risk Models AAAI 2022

Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract) AAAI 2022

Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction EMNLP 2022

Batch-Efficient EigenDecomposition for Small and Medium Matrices ECCV 2022

Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality ECCV 2022

A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D ECCV 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

Revisit Systematic Generalization via Meaningful Learning EMNLP 2022

Collaborative Learning by Detecting Collaboration Partners NIPS 2022

RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection NIPS 2022

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference NIPS 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

Content-Variant Reference Image Quality Assessment via Knowledge Distillation AAAI 2022

Towards Fine-Grained Reasoning for Fake News Detection AAAI 2022

Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes AAAI 2022

Wasserstein Adversarial Transformer for Cloud Workload Prediction AAAI 2022

A Unified Pretraining Framework for Passage Ranking and Expansion AAAI 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

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

Language Scaling for Universal Suggested Replies Model 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

Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations NIPS 2020

RTN: Reparameterized Ternary Network AAAI 2020

Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020

Dynamic Malware Analysis with Feature Engineering and Feature Learning AAAI 2020

A Recurrent Model for Collective Entity Linking with Adaptive Features AAAI 2020

One-Shot Image Classification by Learning to Restore Prototypes AAAI 2020

StyleDGPT: Stylized Response Generation with Pre-trained Language Models EMNLP 2020

VMscatter: A Versatile MIMO Backscatter NSDI 2020

Long Document Ranking with Query-Directed Sparse Transformer EMNLP 2020

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding ICLR 2020

Self-Supervised Learning for Pairwise Data Refinement AACL 2020

“The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition ACL 2020

Learning a Multi-Domain Curriculum for Neural Machine Translation ACL 2020

Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks ICLR 2020

Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets AAAI 2020

ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020

Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 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

Co-GCN for Multi-View Semi-Supervised Learning AAAI 2020

Robust Graph Representation Learning via Neural Sparsification ICML 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

Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization NIPS 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

Kinship Identification through Joint Learning using Kinship Verification Ensembles ECCV 2020

Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition ECCV 2020

Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search AAAI 2020

Cross-Modal Cross-Domain Moment Alignment Network for Person Search CVPR 2020

Single-Stage 6D Object Pose Estimation CVPR 2020

Understanding Architectures Learnt by Cell-based Neural Architecture Search ICLR 2020

Using Small Business Banking Data for Explainable Credit Risk Scoring AAAI 2020

A Deep Cascade Model for Multi-Document Reading Comprehension AAAI 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

Model-Agnostic Adversarial Detection by Random Perturbations IJCAI 2019

Relation Extraction Using Supervision from Topic Knowledge of Relation Labels IJCAI 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

An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition CVPR 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

Large Scale Personalized Categorization of Financial Transactions AAAI 2019

Jointly Extracting Multiple Triplets with Multilayer Translation Constraints AAAI 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

How to Best Use Syntax in Semantic Role Labelling ACL 2019

Joint Multi-Label Attention Networks for Social Text Annotation NAACL 2019

Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching AAAI 2019

Personalized Question Routing via Heterogeneous Network Embedding 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 “Co-Curricular Learning” for Neural Machine Translation ACL 2019

Backpropagation-Friendly Eigendecomposition NIPS 2019

Improving MMD-GAN Training with Repulsive Loss Function ICLR 2019

Transfer Learning for Sequences via Learning to Collocate ICLR 2019

CFSNet: Toward a Controllable Feature Space for Image Restoration ICCV 2019

Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise ICCV 2019

Recurrent U-Net for Resource-Constrained Segmentation ICCV 2019

Tri-net for Semi-Supervised Deep Learning IJCAI 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

Multistage Adversarial Losses for Pose-Based Human Image Synthesis CVPR 2018

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation CVPR 2018

Interactions between Vowels and Nasal Codas in Mandarin Speakers’ Perception of Nasal Finals INTERSPEECH 2018

Every Smile Is Unique: Landmark-Guided Diverse Smile Generation CVPR 2018

Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking NAACL 2018

M3: Multimodal Memory Modelling for Video Captioning CVPR 2018

Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning ECCV 2018

Learning Gender-Neutral Word Embeddings EMNLP 2018

Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection EMNLP 2018

An Adaptive Hierarchical Compositional Model for Phrase Embedding IJCAI 2018

Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM CVPR 2017

Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection ICCV 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

FoveaNet: Perspective-Aware Urban Scene Parsing ICCV 2017

Entity Suggestion with Conceptual Expanation IJCAI 2017

See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification CVPR 2017

Makeup Like a Superstar: Deep Localized Makeup Transfer Network IJCAI 2016

KBQA: An Online Template Based Question Answering System over Freebase IJCAI 2016

Learning Defining Features for Categories IJCAI 2016

Recurrent Face Aging CVPR 2016

Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition CVPR 2015

On Conceptual Labeling of a Bag of Words IJCAI 2015

Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution NIPS 2015

Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning ICCV 2015

Co-Training with Insufficient Views ACML 2013

Learning Coupled Feature Spaces for Cross-Modal Matching ICCV 2013

Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps 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

What Can Syntax-Based MT Learn from Phrase-Based MT? EMNLP 2007

Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy 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

Scalable Inference and Training of Context-Rich Syntactic Translation Models COLING 2006

Capitalizing Machine Translation NAACL 2006

SPMT: Statistical Machine Translation with Syntactified Target Language Phrases EMNLP 2006

Improving Word Alignment Models using Structured Monolingual Corpora EMNLP 2004

Structure Alignment Using Bilingual Chunking COLING 2002