← Authors

Xing Xie

122 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (16) 🏠 Conference Loyalist (20) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (29) 🀝 Dynamic Duo (30) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) ❓ The Questioner (2) πŸ’Ž Century Club (119) πŸ—ƒοΈ Keyword Collector (54) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter

Conferences

ACL (21) EMNLP (20) IJCAI (20) NIPS (16) ICLR (11) AAAI (10) ICML (8) IJCNLP (5) NAACL (4) ECCV (3) ICCV (2) COLING (1) JMLR (1)

Top co-authors

Fangzhao Wu (30) Xiaoyuan Yi (23) Jindong Wang (23) Chuhan Wu (22) Yongfeng Huang (18) Xiting Wang (15) Tao Qi (14) Jianxun Lian (13) Chaozhuo Li (11) Zheng Liu (10)

Research topics

Privacy (2)

Keywords

large language model (18) news recommendation (17) representation learning (14) user modeling (14) attention mechanism (12) graph neural network (11) recommender system (9) text generation (8) multi-view learning (6) user representation (6) benchmark evaluation (5) recommendation system (5) federated learning (5) user preference (4) collaborative filtering (4) attention network (4) responsible ai (4) pretrained language model (4) information retrieval (4) value alignment (4)

Papers

Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment AAAI 2026
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions AAAI 2026
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization AAAI 2026
Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs’ Value Evaluation ACL 2025
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? ACL 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025
Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement ACL 2025
Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights ACL 2025
MoVa: Towards Generalizable Classification of Human Morals and Values EMNLP 2025
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing ICML 2025
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 2025
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NIPS 2024
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models NIPS 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models NIPS 2024
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value NAACL 2024
PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024
Aligning Large Language Models for Controllable Recommendations ACL 2024
Dynamic Evaluation of Large Language Models by Meta Probing Agents ICML 2024
IRGen: Generative Modeling for Image Retrieval ECCV 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations AAAI 2024
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents ICML 2024
The Good, The Bad, and Why: Unveiling Emotions in Generative AI ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
A General Framework for Learning from Weak Supervision ICML 2024
DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING ICLR 2024
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ICLR 2024
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models ICLR 2024
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ICLR 2024
Supervised Knowledge Makes Large Language Models Better In-context Learners ICLR 2024
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024
On the Vulnerability of Safety Alignment in Open-Access LLMs ACL 2024
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models ACL 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization ECCV 2024
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NIPS 2024
FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023
Model-enhanced Vector Index NIPS 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs NIPS 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective NIPS 2023
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes AAAI 2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark ACL 2023
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation ACL 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer EMNLP 2023
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval EMNLP 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning ICCV 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023
Out-of-distribution Representation Learning for Time Series Classification ICLR 2023
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization ICLR 2023
Learning on Large-scale Text-attributed Graphs via Variational Inference ICLR 2023
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation IJCAI 2023
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation ECCV 2022
Towards Fine-Grained Reasoning for Fake News Detection AAAI 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation EMNLP 2022
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention EMNLP 2022
HousE: Knowledge Graph Embedding with Householder Parameterization ICML 2022
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization EMNLP 2022
A Joint Learning Framework for Restaurant Survival Prediction and Explanation EMNLP 2022
Effective and Efficient Query-aware Snippet Extraction for Web Search EMNLP 2022
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction EMNLP 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation NAACL 2022
Clickbait Detection via Contrastive Variational Modelling of Text and Label IJCAI 2022
A Neural Corpus Indexer for Document Retrieval NIPS 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NIPS 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification NIPS 2022
Self-explaining deep models with logic rule reasoning NIPS 2022
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NIPS 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation IJCNLP 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation IJCNLP 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation ACL 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation ACL 2021
Fairness-aware News Recommendation with Decomposed Adversarial Learning AAAI 2021
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation IJCAI 2021
Learning Groupwise Explanations for Black-Box Models IJCAI 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021
Matching-oriented Embedding Quantization For Ad-hoc Retrieval EMNLP 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search EMNLP 2021
Towards Explainable Conversational Recommendation IJCAI 2020
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision EMNLP 2020
Fine-grained Interest Matching for Neural News Recommendation ACL 2020
Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020
MIND: A Large-scale Dataset for News Recommendation ACL 2020
Privacy-Preserving News Recommendation Model Learning EMNLP 2020
Sampling-Decomposable Generative Adversarial Recommender NIPS 2020
Neural News Recommendation with Long- and Short-term User Representations ACL 2019
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching AAAI 2019
Neural News Recommendation with Heterogeneous User Behavior IJCNLP 2019
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network IJCNLP 2019
Neural News Recommendation with Multi-Head Self-Attention IJCNLP 2019
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network EMNLP 2019
Neural News Recommendation with Multi-Head Self-Attention EMNLP 2019
Towards a Deep and Unified Understanding of Deep Neural Models in NLP ICML 2019
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction ACL 2019
Neural News Recommendation with Topic-Aware News Representation ACL 2019
Personalized Multimedia Item and Key Frame Recommendation IJCAI 2019
Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network IJCAI 2019
Neural News Recommendation with Attentive Multi-View Learning IJCAI 2019
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation IJCAI 2019
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems IJCAI 2019
Neural News Recommendation with Heterogeneous User Behavior EMNLP 2019
Session-Based Recommendation with Graph Neural Networks AAAI 2019
Explainable Recommendation through Attentive Multi-View Learning AAAI 2019
Sequential Recommender System based on Hierarchical Attention Networks IJCAI 2018
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation COLING 2018
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data IJCAI 2018
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach IJCAI 2018
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention EMNLP 2018
App Download Forecasting: An Evolutionary Hierarchical Competition Approach IJCAI 2017
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory IJCAI 2017
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback IJCAI 2016
Mobile Query Recommendation via Tensor Function Learning IJCAI 2015