← Authors

Enhong Chen

120 papers · 2008–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (17) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (32) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (39) πŸ‘₯ Mega-Team (27) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ† Grand Slam ⚑ Prolific Year (25) πŸ“ˆ Trend Setter πŸ’Ž Century Club (118) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (86) πŸ”₯ Unstoppable (14)

Conferences

AAAI (24) IJCAI (20) NIPS (20) EMNLP (15) ACL (14) ICML (9) COLING (4) CONLL (4) ICLR (4) CVPR (3) EACL (1) ICCV (1) NSDI (1)

Top co-authors

Qi Liu (40) Zhenya Huang (24) Tong Xu (22) Defu Lian (21) Shijin Wang (11) Kai Zhang (10) Hao Wang (9) Hongke Zhao (9) Le Wu (7) Zhirui Zhang (7)

Research topics

Education (6)

Keywords

large language model (18) recommender system (10) representation learning (9) attention mechanism (7) retrieval-augmented generation (5) knowledge distillation (5) graph neural network (5) self-supervised learning (5) cognitive diagnosis (5) neural machine translation (4) contrastive learning (4) dialogue system (4) knowledge graph (4) text representation (3) question answering (3) pre-trained language model (3) knowledge concept (3) multi-task learning (3) semi-supervised learning (3) domain adaptation (3)

Papers

To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination EACL 2026
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning AAAI 2026
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025
iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation ACL 2025
TestAgent: An Adaptive and Intelligent Expert for Human Assessment ACL 2025
Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models ACL 2025
MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality ACL 2025
RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery ACL 2025
ToolACE: Winning the Points of LLM Function Calling ICLR 2025
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment ICLR 2025
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment EMNLP 2025
Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination EMNLP 2025
Position: AI Evaluation Should Learn from How We Test Humans ICML 2025
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models ICML 2025
What Makes In-context Learning Effective for Mathematical Reasoning ICML 2025
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model AAAI 2025
Multi-Branch Self-Drafting for LLM Inference Acceleration AAAI 2025
Explore What LLM Does Not Know in Complex Question Answering AAAI 2025
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation AAAI 2025
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis CVPR 2025
Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration CVPR 2025
CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective ICML 2025
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation EMNLP 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations AAAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models COLING 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024
Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding EMNLP 2024
Generative Input: Towards Next-Generation Input Methods Paradigm ACL 2024
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization ACL 2024
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024
Towards Explainable Computerized Adaptive Testing with Large Language Model EMNLP 2024
In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting EMNLP 2024
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs EMNLP 2024
MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction COLING 2024
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models ACL 2024
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process IJCAI 2024
Pre-training General User Representation with Multi-type APP Behaviors IJCAI 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NIPS 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NIPS 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NIPS 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models NIPS 2024
Learning from Highly Sparse Spatio-temporal Data NIPS 2024
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation NIPS 2024
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search ICML 2024
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation ICML 2024
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests ICML 2023
A Bounded Ability Estimation for Computerized Adaptive Testing NIPS 2023
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective NIPS 2023
Knowledge Distillation for High Dimensional Search Index NIPS 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NIPS 2023
Query-Aware Quantization for Maximum Inner Product Search AAAI 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training AAAI 2023
Enhancing Hierarchical Text Classification through Knowledge Graph Integration ACL 2023
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs ACL 2023
The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks ACL 2023
Federated Nearest Neighbor Machine Translation ICLR 2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification IJCAI 2023
Exploiting Non-Interactive Exercises in Cognitive Diagnosis IJCAI 2023
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever NIPS 2022
Non-Parametric Domain Adaptation for End-to-End Speech Translation EMNLP 2022
VIRT: Improving Representation-based Text Matching via Virtual Interaction EMNLP 2022
Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022
DARE: Disentanglement-Augmented Rationale Extraction NIPS 2022
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy NIPS 2022
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis ACL 2022
Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation CVPR 2022
Recommender Forest for Efficient Retrieval NIPS 2022
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification AAAI 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks IJCAI 2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness IJCAI 2021
Cross Attention Augmented Transducer Networks for Simultaneous Translation EMNLP 2021
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching AAAI 2021
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty AAAI 2021
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem AAAI 2021
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer AAAI 2021
DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis ICCV 2021
Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 2021
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model AAAI 2020
Neural Cognitive Diagnosis for Intelligent Education Systems AAAI 2020
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020
Towards Explainable Conversational Recommendation IJCAI 2020
Semi-Supervised Neural Architecture Search NIPS 2020
Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation ACL 2020
Sampling-Decomposable Generative Adversarial Recommender NIPS 2020
A Variational Point Process Model for Social Event Sequences AAAI 2020
Incorporating BERT into Parallel Sequence Decoding with Adapters NIPS 2020
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019
Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions ICLR 2019
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching AAAI 2019
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective AAAI 2019
Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019
Trend-Aware Tensor Factorization for Job Skill Demand Analysis IJCAI 2019
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference IJCAI 2019
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach IJCAI 2019
Efficient Pure Exploration in Adaptive Round model NIPS 2019
SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018
Multi-Path Transport for RDMA in Datacenters NSDI 2018
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data IJCAI 2018
Bidirectional Generative Adversarial Networks for Neural Machine Translation CONLL 2018
Neural Architecture Optimization NIPS 2018
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective IJCAI 2017
Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017
Stack-based Multi-layer Attention for Transition-based Dependency Parsing EMNLP 2017
Chinese Poetry Generation with Planning based Neural Network COLING 2016
Maximizing the Coverage of Information Propagation in Social Networks IJCAI 2015
Matrix Factorization with Scale-Invariant Parameters IJCAI 2015
Cognitive Modelling for Predicting Examinee Performance IJCAI 2015
Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective IJCAI 2015
A Probabilistic Model for Learning Multi-Prototype Word Embeddings COLING 2014
PageRank with Priors: An Influence Propagation Perspective IJCAI 2013
A Dataset for Research on Short-Text Conversations EMNLP 2013
Image Denoising and Inpainting with Deep Neural Networks NIPS 2012
Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier CONLL 2010
An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling CONLL 2009
Probabilistic Model for Syntactic and Semantic Dependency Parsing CONLL 2008