Liang Chen
75 papers · 2014–2026 · 15 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Conference Polyglot
(15)
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Academic Marathon
(11)
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(2)
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Dynamic Duo
(15)
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Mega-Team
(32)
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Triple Crown
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Grand Slam
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Keyword Collector
(300)
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Prolific Year
(15)
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Century Club
(73)
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Unstoppable
(8)
Conferences
AAAI (9)
ACL (9)
CVPR (8)
IJCAI (8)
EMNLP (7)
NIPS (7)
ICML (6)
ECCV (5)
ICLR (5)
NAACL (5)
ICCV (2)
ACML (1)
IJCNLP (1)
NSDI (1)
OSDI (1)
Top co-authors
Research topics
Keywords
contrastive learning
(7)
large language model
(6)
representation learning
(6)
domain generalization
(5)
spiking neural network
(4)
graph neural network
(4)
domain adaptation
(3)
node classification
(3)
amr parsing
(3)
universal domain adaptation
(3)
uncertainty quantification
(3)
vision-language model
(3)
cell type annotation
(3)
image restoration
(3)
transfer learning
(2)
dynamic graph
(2)
multi-task learning
(2)
image deblurring
(2)
adversarial attack
(2)
adversarial training
(2)
Papers
GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
AAAI 2026
Spiking Heterogeneous Graph Attention Networks
AAAI 2026
Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production
NSDI 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine
NAACL 2025
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models
ICLR 2025
PEARL: Towards Permutation-Resilient LLMs
ICLR 2025
Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
EMNLP 2025
One Last Attention for Your Vision-Language Model
ICCV 2025
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
NAACL 2025
RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework
IJCAI 2025
Measuring Diversity in Synthetic Datasets
ICML 2025
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
ICML 2025
SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services
ICML 2025
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning
ICML 2025
To PRI or Not To PRI, That's the question
OSDI 2025
Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering
CVPR 2025
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
ICLR 2025
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
NIPS 2024
State Space Models on Temporal Graphs: A First-Principles Study
NIPS 2024
WatME: Towards Lossless Watermarking Through Lexical Redundancy
ACL 2024
Large Language Models are not Fair Evaluators
ACL 2024
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
ACL 2024
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm
ACL 2024
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
ICLR 2024
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
EMNLP 2024
Consecutive Batch Model Editing with HooK Layers
EMNLP 2024
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
ECCV 2024
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
NIPS 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML 2024
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
ICLR 2024
VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
AAAI 2024
Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data
IJCAI 2024
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation
NAACL 2024
SELF-GUARD: Empower the LLM to Safeguard Itself
NAACL 2024
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators
EMNLP 2023
On the Pareto Front of Multilingual Neural Machine Translation
NIPS 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
NIPS 2023
Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data
AAAI 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
AAAI 2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
ACL 2023
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation
ACL 2023
Single Image Super-resolution Based On Non-subsampled Shearlet Transform
ACML 2023
Improved Test-Time Adaptation for Domain Generalization
CVPR 2023
Guiding AMR Parsing with Reverse Graph Linearization
EMNLP 2023
RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data
EMNLP 2023
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration
EMNLP 2023
Domain Generalization via Rationale Invariance
ICCV 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
IJCAI 2023
Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data
IJCAI 2023
CAR: Class-Aware Regularizations for Semantic Segmentation
ECCV 2022
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation
CVPR 2022
Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
CVPR 2022
Spiking Graph Convolutional Networks
IJCAI 2022
OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training
NIPS 2022
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
NAACL 2022
Focus on the Targetβs Vocabulary: Masked Label Smoothing for Machine Translation
ACL 2022
Hierarchical Curriculum Learning for AMR Parsing
ACL 2022
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation
AAAI 2022
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation
AAAI 2022
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
AAAI 2022
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
NIPS 2022
Perceiving and Modeling Density for Image Dehazing
ECCV 2022
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
AAAI 2021
Blind Deblurring for Saturated Images
CVPR 2021
Learning a Non-Blind Deblurring Network for Night Blurry Images
CVPR 2021
Understanding Structural Vulnerability in Graph Convolutional Networks
IJCAI 2021
Secure Deep Graph Generation with Link Differential Privacy
IJCAI 2021
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
IJCNLP 2021
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
ACL 2021
Enhanced Sparse Model for Blind Deblurring
ECCV 2020
OID: Outlier Identifying and Discarding in Blind Image Deblurring
ECCV 2020
Blind Image Deblurring With Local Maximum Gradient Prior
CVPR 2019
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network
IJCAI 2019
Learning Semantic Representations for Unsupervised Domain Adaptation
ICML 2018
Dual Linear Regression Based Classification for Face Cluster Recognition
CVPR 2014