← Authors

Liang Chen

75 papers · 2014–2026 · 15 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) 🀝 Dynamic Duo (15) πŸ‘₯ Mega-Team (32) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (300) ⚑ Prolific Year (15) πŸ’Ž Century Club (73) πŸ”₯ 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

Baobao Chang (15) Tianyu Liu (8) Haozhe Zhao (8) Jintang Li (8) Zibin Zheng (7) Minghua Deng (7) Kam-Fai Wong (6) Lingqiao Liu (6) Zefan Cai (6) Yang Deng (6)

Research topics

Differential Privacy (1) Privacy (1)

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 Target’s 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