← Authors

Huan Liu

89 papers · 2004–2026 · 16 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) πŸƒ Academic Marathon (21) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (16) πŸ—ΊοΈ Taxonomy Completionist (17) 🏠 Conference Loyalist (23) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (15) πŸ”¬ Deep Specialist (13) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (344) πŸ’Ž Century Club (87) ❓ The Questioner (3) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11)

Conferences

IJCAI (23) AAAI (15) EMNLP (14) ACL (6) 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

Jundong Li (15) Zhen Tan (12) Amrita Bhattacharjee (10) Kaize Ding (10) Lu Cheng (10) Tianlong Chen (9) Tharindu Kumarage (7) Yang Wang (7) Jun Chen (6) Jiliang Tang (6)

Research topics

Privacy (1)

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

Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm AAAI 2026
RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking AAAI 2026
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation ICCV 2025
Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference COLING 2025
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) IJCAI 2025
DLUT and GTCOM’s Large Language Model Based Translation System for WMT25 EMNLP 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge EMNLP 2025
Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation CVPR 2025
A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation MICCAI 2025
HGMP: Heterogeneous Graph Multi-Task Prompt Learning IJCAI 2025
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks AAAI 2025
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection AAAI 2025
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach AAAI 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
Heterogeneous Temporal Hypergraph Neural Network IJCAI 2025
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents ACL 2025
VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling IJCAI 2025
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention ACL 2025
Adapting to Distribution Shift by Visual Domain Prompt Generation ICLR 2024
Test-Time Personalization with Meta Prompt for Gaze Estimation AAAI 2024
SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection AAAI 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
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning ACL 2024
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders WACV 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
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales NAACL 2024
Large Language Models for Data Annotation and Synthesis: A Survey EMNLP 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 Alzheimer’s Disease Questions with Scientific Literature EMNLP 2024
DLUT and GTCOM’s Neural Machine Translation Systems for WMT24 EMNLP 2024
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey NAACL 2024
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank CVPR 2023
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection IJCNLP 2023
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News IJCNLP 2023
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts EMNLP 2023
Towards Detecting Harmful Agendas in News Articles ACL 2023
Meta-Auxiliary Learning for Future Depth Prediction in Videos WACV 2023
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection AACL 2023
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News AACL 2023
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning AAAI 2023
Group Pose: A Simple Baseline for End-to-End Multi-Person Pose Estimation ICCV 2023
Adaptive Token-level Cross-lingual Feature Mixing for Multilingual Neural Machine Translation EMNLP 2022
Few-Shot Learning on Graphs IJCAI 2022
Text Transformations in Contrastive Self-Supervised Learning: A Review IJCAI 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022
Towards Multi-Domain Single Image Dehazing via Test-Time Training CVPR 2022
Debiasing Word Embeddings with Nonlinear Geometry COLING 2022
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT ICLR 2022
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay ECCV 2022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning AAAI 2022
DUTNLP Machine Translation System for WMT22 General MT Task EMNLP 2022
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach IJCNLP 2021
Fact-Enhanced Synthetic News Generation AAAI 2021
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ACL 2021
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation EMNLP 2021
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
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 IJCNLP 2019
Unsupervised Fake News Detection on Social Media: A Generative Approach AAAI 2019
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference EMNLP 2019
InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019
In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics JMLR 2018
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks IJCAI 2018
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
Radar: Residual Analysis for Anomaly Detection in Attributed Networks IJCAI 2017
PPP: Joint Pointwise and Pairwise Image Label Prediction CVPR 2016
A Novel Measure for Coherence in Statistical Topic Models ACL 2016
Multi-Label Informed Feature Selection IJCAI 2016
Exploring Implicit Hierarchical Structures for Recommender Systems IJCAI 2015
Unsupervised Sentiment Analysis for Social Media Images IJCAI 2015
Exploiting Local and Global Social Context for Recommendation IJCAI 2013
Social Spammer Detection in Microblogging IJCAI 2013
Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004