Huan Liu
91 papers · 2004–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (16)
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Interdisciplinary Bridge
π
Conference Polyglot
(16)
πΊοΈ
Taxonomy Completionist
(17)
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Conference Loyalist
(23)
π§¬
Topic Evolution
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Keyword Champion
(2)
π€
Dynamic Duo
(15)
π¬
Deep Specialist
(13)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(344)
π
Century Club
(87)
β
The Questioner
(3)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(11)
Conferences
IJCAI (23)
AAAI (15)
EMNLP (14)
ACL (8)
CVPR (6)
ICLR (4)
IJCNLP (4)
AACL (2)
COLING (2)
EACL (2)
ECCV (2)
ICCV (2)
JMLR (2)
NAACL (2)
WACV (2)
MICCAI (1)
Top co-authors
Research topics
Keywords
large language model
(14)
graph neural network
(7)
text classification
(6)
neural machine translation
(5)
reinforcement learning
(4)
contrastive learning
(4)
representation learning
(4)
social media
(4)
semi-supervised learning
(3)
unsupervised learning
(3)
information retrieval
(3)
feature selection
(3)
self-supervised learning
(3)
attributed network
(3)
adversarial attack
(3)
few-shot learning
(3)
diffusion model
(3)
multi-task learning
(2)
transformer architecture
(2)
deep reinforcement learning
(2)
Papers
ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
ACL 2026
RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking
AAAI 2026
Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm
AAAI 2026
One Pair Suffices: Unlocking Universal Zero-Shot Translation via Cross-Architecture Alignment
ACL 2026
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
IJCAI 2025
Tuning-Free Accountable Intervention for LLM Deployment β a Metacognitive Approach
AAAI 2025
Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation
CVPR 2025
Heterogeneous Temporal Hypergraph Neural Network
IJCAI 2025
DLUT and GTCOMβs Large Language Model Based Translation System for WMT25
EMNLP 2025
HGMP: Heterogeneous Graph Multi-Task Prompt Learning
IJCAI 2025
VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling
IJCAI 2025
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
ICLR 2025
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
ICLR 2025
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
ICCV 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
EMNLP 2025
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
ACL 2025
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
AAAI 2025
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
ACL 2025
Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference
COLING 2025
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
AAAI 2025
A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation
MICCAI 2025
SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection
AAAI 2024
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
EMNLP 2024
Defending Against Social Engineering Attacks in the Age of LLMs
EMNLP 2024
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimerβs Disease Questions with Scientific Literature
EMNLP 2024
DLUT and GTCOMβs Neural Machine Translation Systems for WMT24
EMNLP 2024
Sterling: Synergistic Representation Learning on Bipartite Graphs
AAAI 2024
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention
AAAI 2024
CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs
AAAI 2024
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders
WACV 2024
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning
ACL 2024
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
NAACL 2024
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
NAACL 2024
Test-Time Personalization with Meta Prompt for Gaze Estimation
AAAI 2024
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
CVPR 2024
Contextualization Distillation from Large Language Model for Knowledge Graph Completion
EACL 2024
Exploiting Class Probabilities for Black-box Sentence-level Attacks
EACL 2024
Facial Affective Behavior Analysis with Instruction Tuning
ECCV 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
ICLR 2024
Large Language Models for Data Annotation and Synthesis: A Survey
EMNLP 2024
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection
IJCNLP 2023
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
AAAI 2023
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
AACL 2023
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection
AACL 2023
Towards Detecting Harmful Agendas in News Articles
ACL 2023
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank
CVPR 2023
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts
EMNLP 2023
Group Pose: A Simple Baseline for End-to-End Multi-Person Pose Estimation
ICCV 2023
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
IJCNLP 2023
Meta-Auxiliary Learning for Future Depth Prediction in Videos
WACV 2023
DUTNLP Machine Translation System for WMT22 General MT Task
EMNLP 2022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
AAAI 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
CVPR 2022
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
ECCV 2022
Few-Shot Learning on Graphs
IJCAI 2022
Text Transformations in Contrastive Self-Supervised Learning: A Review
IJCAI 2022
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT
ICLR 2022
Adaptive Token-level Cross-lingual Feature Mixing for Multilingual Neural Machine Translation
EMNLP 2022
Debiasing Word Embeddings with Nonlinear Geometry
COLING 2022
Towards Multi-Domain Single Image Dehazing via Test-Time Training
CVPR 2022
DUTNLP Machine Translation System for WMT21 Triangular Translation Task
EMNLP 2021
Causal Learning for Socially Responsible AI
IJCAI 2021
A Comparative Survey: Benchmarking for Pool-based Active Learning
IJCAI 2021
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
ACL 2021
Fact-Enhanced Synthetic News Generation
AAAI 2021
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
IJCNLP 2021
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
EMNLP 2021
Tracking Disaster Footprints with Social Streaming Data
AAAI 2020
Inductive Anomaly Detection on Attributed Networks
IJCAI 2020
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
IJCAI 2020
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
EMNLP 2020
PI-Bully: Personalized Cyberbullying Detection with Peer Influence
IJCAI 2019
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference
EMNLP 2019
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference
IJCNLP 2019
Unsupervised Fake News Detection on Social Media: A Generative Approach
AAAI 2019
InterSpot: Interactive Spammer Detection in Social Media
IJCAI 2019
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
IJCAI 2018
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks
IJCAI 2018
In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics
JMLR 2018
Radar: Residual Analysis for Anomaly Detection in Attributed Networks
IJCAI 2017
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach
IJCAI 2017
How Unlabeled Web Videos Help Complex Event Detection?
IJCAI 2017
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection
IJCAI 2017
PPP: Joint Pointwise and Pairwise Image Label Prediction
CVPR 2016
Multi-Label Informed Feature Selection
IJCAI 2016
A Novel Measure for Coherence in Statistical Topic Models
ACL 2016
Unsupervised Sentiment Analysis for Social Media Images
IJCAI 2015
Exploring Implicit Hierarchical Structures for Recommender Systems
IJCAI 2015
Social Spammer Detection in Microblogging
IJCAI 2013
Exploiting Local and Global Social Context for Recommendation
IJCAI 2013
Efficient Feature Selection via Analysis of Relevance and Redundancy
JMLR 2004