Ruobing Xie
62 papers · 2016–2026 · 13 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (13) ๐ Renaissance Researcher (5) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Academic Marathon (9)
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Cross-Pollinator
(12)
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Taxonomy Completionist
(103)
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Keyword Champion
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Topic Evolution
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Dynamic Duo
(31)
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(59)
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Keyword Collector
(251)
Conferences
ACL (15)
EMNLP (13)
AAAI (7)
IJCAI (7)
ICLR (4)
ICML (4)
NAACL (4)
COLING (2)
IJCNLP (2)
CVPR (1)
EACL (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
neural network
(5)
large language model
(5)
recommender system
(4)
pre-trained language model
(4)
mixture of expert
(4)
parameter efficiency
(4)
open relation extraction
(3)
knowledge base
(3)
siamese network
(3)
vision-language model
(3)
sequential recommendation
(3)
multimodal learning
(3)
representation learning
(3)
diffusion model
(3)
knowledge graph completion
(3)
attention mechanism
(3)
model compression
(3)
language model
(3)
parameter sharing
(2)
metric learning
(2)
Papers
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
ACL 2026
Union-of-Experts: Neurons in Mixture-of-Experts are Secretly Routers
ACL 2026
TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model
AAAI 2026
Curriculum Conditioned Diffusion for Multimodal Recommendation
AAAI 2025
Advancing LLM Reasoning Generalists with Preference Trees
ICLR 2025
Enhancing Contrastive Learning Inspired by the Philosophy of โThe Blind Men and the Elephantโ
AAAI 2025
Continuous Speech Tokenizer in Text To Speech
NAACL 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise
ACL 2025
Exploring Forgetting in Large Language Model Pre-Training
ACL 2025
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
ACL 2025
Language Models โGrokโ to Copy
NAACL 2025
PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset
CVPR 2025
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
NAACL 2025
Scaling Laws for FloatingโPoint Quantization Training
ICML 2025
Autonomy-of-Experts Models
ICML 2025
HMoE: Heterogeneous Mixture of Experts for Language Modeling
EMNLP 2025
Sparsifying Mamba
EMNLP 2025
The Security Threat of Compressed Projectors in Large Vision-Language Models
EMNLP 2025
Hybrid-Tower: Fine-grained Pseudo-query Interaction and Generation for Text-to-Video Retrieval
ICCV 2025
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
ICLR 2025
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
EMNLP 2024
LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders
COLING 2024
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
EMNLP 2024
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation
EMNLP 2024
Plug-In Diffusion Model for Sequential Recommendation
AAAI 2024
SeeDRec: Sememe-based Diffusion for Sequential Recommendation
IJCAI 2024
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
ICLR 2024
Exploring the Benefit of Activation Sparsity in Pre-training
ICML 2024
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
ICLR 2024
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
ICML 2024
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation
ACL 2024
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference
EMNLP 2024
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
EMNLP 2023
Better Pre-Training by Reducing Representation Confusion
EACL 2023
Pruning Pre-trained Language Models Without Fine-Tuning
ACL 2023
WebCPM: Interactive Web Search for Chinese Long-form Question Answering
ACL 2023
Emergent Modularity in Pre-trained Transformers
ACL 2023
Visually Grounded Commonsense Knowledge Acquisition
AAAI 2023
Recyclable Tuning for Continual Pre-training
ACL 2023
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models
EMNLP 2023
Prompt Tuning for Discriminative Pre-trained Language Models
ACL 2022
Incorporating Global Information in Local Attention for Knowledge Representation Learning
IJCNLP 2021
Hierarchical Reinforcement Learning for Integrated Recommendation
AAAI 2021
Incorporating Global Information in Local Attention for Knowledge Representation Learning
ACL 2021
Curriculum Disentangled Recommendation with Noisy Multi-feedback
NIPS 2021
Open Hierarchical Relation Extraction
NAACL 2021
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification
COLING 2020
Connecting Embeddings for Knowledge Graph Entity Typing
ACL 2020
Denoising Relation Extraction from Document-level Distant Supervision
EMNLP 2020
Deep Feedback Network for Recommendation
IJCAI 2020
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation
IJCAI 2020
Neural Snowball for Few-Shot Relation Learning
AAAI 2020
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
IJCNLP 2019
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
EMNLP 2019
Language Modeling with Sparse Product of Sememe Experts
EMNLP 2018
Incorporating Chinese Characters of Words for Lexical Sememe Prediction
ACL 2018
Cross-lingual Lexical Sememe Prediction
EMNLP 2018
Improved Word Representation Learning with Sememes
ACL 2017
Image-embodied Knowledge Representation Learning
IJCAI 2017
Lexical Sememe Prediction via Word Embeddings and Matrix Factorization
IJCAI 2017
Iterative Entity Alignment via Joint Knowledge Embeddings
IJCAI 2017
Representation Learning of Knowledge Graphs with Hierarchical Types
IJCAI 2016