Songlin Hu

67 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🤝 Dynamic Duo (35) 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (2) ⚡ Prolific Year (6) ❓ The Questioner 🗃️ Keyword Collector (293) 💎 Century Club (66) 🚀 Conference Pioneer 🔥 Unstoppable (7)

Conferences

EMNLP (16) AAAI (13) ACL (13) COLING (11) IJCNLP (4) IJCAI (3) NAACL (3) AACL (1) ICLR (1) ICML (1) SEMEVAL (1)

Top co-authors

Wei Zhou (35) Jizhong Han (19) Lingwei Wei (18) Dou Hu (14) Fuqing Zhu (10) Xing Wu (9) Yaxin Liu (9) Zijia Lin (8) Kun Li (8) Chaochen Gao (7)

Research topics

Keywords

large language model (11) contrastive learning (9) graph neural network (6) fake news detection (5) representation learning (5) social media (4) pre-trained language model (4) emotion recognition (4) unsupervised learning (4) language model (4) social media analysis (3) information retrieval (3) adversarial attack (3) transfer learning (3) masked language model (3) multimodal learning (3) adversarial training (3) domain adaptation (3) sentence embedding (3) kl divergence (2)

Papers

Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs AAAI 2026

Capture the Key in Reasoning to Enhance CoT Distillation Generalization ACL 2025

Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding ACL 2025

Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection ACL 2025

NExtLong: Toward Effective Long-Context Training without Long Documents ICML 2025

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model ICLR 2025

Structure-aware Propagation Generation with Large Language Models for Fake News Detection EMNLP 2025

BotSim: LLM-Powered Malicious Social Botnet Simulation AAAI 2025

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding AAAI 2025

Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models AAAI 2025

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval AAAI 2025

LLM-Based Behavior Prediction for Social Media Users with Continuous Memory AACL 2025

Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation EMNLP 2025

Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots EMNLP 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025

Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models EMNLP 2025

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing EMNLP 2025

DORA: Dynamic Optimization Prompt for Continuous Reflection of LLM-based Agent COLING 2025

Chain of Attack: Hide Your Intention through Multi-Turn Interrogation ACL 2025

LLM-Based Behavior Prediction for Social Media Users with Continuous Memory IJCNLP 2025

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts NAACL 2025

Few-Shot Learning for Cold-Start Recommendation COLING 2024

Structured Probabilistic Coding AAAI 2024

Uncertainty-Guided Modal Rebalance for Hateful Memes Detection ACL 2024

Representation Learning with Conditional Information Flow Maximization ACL 2024

Multi-stream Information Fusion Framework for Emotional Support Conversation COLING 2024

Uncertainty-Aware Cross-Modal Alignment for Hate Speech Detection COLING 2024

Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction EMNLP 2024

Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation EMNLP 2024

Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems NAACL 2024

MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models NAACL 2024

UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis SEMEVAL 2023

Query-as-context Pre-training for Dense Passage Retrieval EMNLP 2023

TrojanSQL: SQL Injection against Natural Language Interface to Database EMNLP 2023

CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability EMNLP 2023

PUNR: Pre-training with User Behavior Modeling for News Recommendation EMNLP 2023

QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition ACL 2023

Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations ACL 2023

UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis ACL 2023

ConTextual Masked Auto-Encoder for Dense Passage Retrieval AAAI 2023

ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding COLING 2022

AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis COLING 2022

Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation EMNLP 2022

RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval EMNLP 2022

InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings EMNLP 2022

Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction ACL 2022

Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks ACL 2022

Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation IJCAI 2022

Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection COLING 2022

A Unified Propagation Forest-based Framework for Fake News Detection COLING 2022

Smoothed Contrastive Learning for Unsupervised Sentence Embedding COLING 2022

Label-Specific Dual Graph Neural Network for Multi-Label Text Classification ACL 2021

An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis AAAI 2021

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection IJCNLP 2021

Label-Specific Dual Graph Neural Network for Multi-Label Text Classification IJCNLP 2021

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection ACL 2021

Symmetric Metric Learning with Adaptive Margin for Recommendation AAAI 2020

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering AAAI 2020

Integrating External Event Knowledge for Script Learning COLING 2020

Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract) AAAI 2020

Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning COLING 2020

A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification IJCAI 2019

Mask and Infill: Applying Masked Language Model for Sentiment Transfer IJCAI 2019

Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots IJCNLP 2019

SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next AAAI 2019

A Fuzzy Set Based Approach for Rating Bias AAAI 2019

Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots EMNLP 2019