Lei Chen
122 papers · 2006–2026 · 18 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (18)
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(119)
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Conferences
AAAI (15)
NIPS (15)
ACL (13)
ICLR (12)
ICCV (10)
IJCAI (9)
EMNLP (9)
CVPR (8)
INTERSPEECH (6)
NAACL (6)
ECCV (5)
COLING (4)
ICML (3)
IJCNLP (3)
MICCAI (1)
OSDI (1)
SEMEVAL (1)
WACV (1)
Top co-authors
Research topics
Keywords
graph neural network
(11)
large language model
(7)
contrastive learning
(6)
representation learning
(6)
recommender system
(5)
transfer learning
(5)
multimodal learning
(5)
self-supervised learning
(4)
video understanding
(4)
question answering
(4)
deep neural network
(4)
diffusion model
(4)
convolutional neural network
(4)
knowledge base
(3)
user modeling
(3)
collaborative filtering
(3)
text classification
(3)
knowledge graph
(3)
3d reconstruction
(3)
knowledge distillation
(3)
Papers
Token Painter: Training-Free Text-Guided Image Inpainting via Mask Autoregressive Models
AAAI 2026
Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation
AAAI 2026
Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment
AAAI 2026
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
CVPR 2025
FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
CVPR 2025
Automate Strategy Finding with LLM in Quant Investment
EMNLP 2025
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
EMNLP 2025
E-SAM: Training-Free Segment Every Entity Model
ICCV 2025
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
NAACL 2025
Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
ICLR 2025
Circuit Transformer: A Transformer That Preserves Logical Equivalence
ICLR 2025
InstaRevive: One-Step Image Enhancement via Dynamic Score Matching
ICLR 2025
SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
ICLR 2025
A Selective Learning Method for Temporal Graph Continual Learning
ICML 2025
N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning
ICLR 2025
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
ICLR 2025
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
ICLR 2025
Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
ICLR 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
ICLR 2025
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
ICLR 2025
ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry
ACL 2025
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models
ACL 2025
Jinan Smart Education at BEA 2025 Shared Task: Dual Encoder Architecture for Tutor Identification via Semantic Understanding of Pedagogical Conversations
ACL 2025
Learning Counterfactually Decoupled Attention for Open-World Model Attribution
ICCV 2025
LEGO-Maker: A Semantic-Driven Algorithm for Text-to-3D Generation
ICCV 2025
D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
ICCV 2025
CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction
MICCAI 2025
R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
EMNLP 2024
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
ICML 2024
Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution
ECCV 2024
A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications
OSDI 2024
CRAG - Comprehensive RAG Benchmark
NIPS 2024
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
NIPS 2024
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
NIPS 2024
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration
EMNLP 2024
Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis
ACL 2024
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
ACL 2024
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
ICLR 2024
What Factors Influence LLMsβ Judgments? A Case Study on Question Answering
COLING 2024
A Small and Fast BERT for Chinese Medical Punctuation Restoration
INTERSPEECH 2024
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction
CVPR 2024
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding
AAAI 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration
AAAI 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
AAAI 2024
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach
AAAI 2024
Efficient Video Action Detection with Token Dropout and Context Refinement
ICCV 2023
Disentangling Cognitive Diagnosis with Limited Exercise Labels
NIPS 2023
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract)
IJCAI 2023
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
NIPS 2023
Universal Prompt Tuning for Graph Neural Networks
NIPS 2023
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting
AAAI 2023
Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction
AAAI 2023
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views
AAAI 2023
CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning
ACL 2023
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification
ACL 2023
Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification
ACL 2023
Dionysus: Recovering Scene Structures by Dividing Into Semantic Pieces
CVPR 2023
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation
EMNLP 2023
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions
EMNLP 2023
Topic-DPR: Topic-based Prompts for Dense Passage Retrieval
EMNLP 2023
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising
ICCV 2023
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning
ICCV 2023
Beyond the Edge of Stability via Two-step Gradient Updates
ICML 2023
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
NIPS 2022
RIT Boston at SemEval-2022 Task 5: Multimedia Misogyny Detection By Using Coherent Visual and Language Features from CLIP Model and Data-centric AI Principle
SEMEVAL 2022
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos
CVPR 2022
RIT Boston at SemEval-2022 Task 5: Multimedia Misogyny Detection By Using Coherent Visual and Language Features from CLIP Model and Data-centric AI Principle
NAACL 2022
Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning
NAACL 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
NIPS 2022
A Progressive Framework for Role-Aware Rumor Resolution
COLING 2022
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
NIPS 2022
Utilizing Cross-Modal Contrastive Learning to Improve Item Categorization BERT Model
ACL 2022
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering
ACL 2022
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
IJCAI 2022
Developing Prefix-Tuning Models for Hierarchical Text Classification
EMNLP 2022
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
IJCAI 2022
Uncertainty-Aware Representation Learning for Action Segmentation
IJCAI 2022
IS-MVSNet: Importance Sampling-Based MVSNet
ECCV 2022
Revisiting Injective Attacks on Recommender Systems
NIPS 2022
Align Voting Behavior with Public Statements for Legislator Representation Learning
ACL 2021
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo
ICCV 2021
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
ICCV 2021
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation
AAAI 2021
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
AAAI 2021
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation
CVPR 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
NIPS 2021
Variational Information Bottleneck for Effective Low-Resource Audio Classification
INTERSPEECH 2021
Multimodal Item Categorization Fully Based on Transformer
IJCNLP 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
NIPS 2021
On Graph Neural Networks versus Graph-Augmented MLPs
ICLR 2021
Align Voting Behavior with Public Statements for Legislator Representation Learning
IJCNLP 2021
Label-Guided Learning for Item Categorization in e-Commerce
NAACL 2021
Multimodal Item Categorization Fully Based on Transformer
ACL 2021
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
AAAI 2020
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
NIPS 2020
Can Graph Neural Networks Count Substructures?
NIPS 2020
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
AAAI 2020
PG-GSQL: Pointer-Generator Network with Guide Decoding for Cross-Domain Context-Dependent Text-to-SQL Generation
COLING 2020
Modeling Evolution of Message Interaction for Rumor Resolution
COLING 2020
DR Loss: Improving Object Detection by Distributional Ranking
CVPR 2020
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning
ECCV 2020
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
ECCV 2020
Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms
IJCAI 2020
Adapting Grad-CAM for Embedding Networks
WACV 2020
Lifelong GAN: Continual Learning for Conditional Image Generation
ICCV 2019
Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding
INTERSPEECH 2019
Deep Embedding Learning With Discriminative Sampling Policy
CVPR 2019
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis
IJCNLP 2019
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning
IJCAI 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs
NIPS 2019
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis
EMNLP 2019
Label distribution learning with label-specific features
IJCAI 2019
Personalized Multimedia Item and Key Frame Recommendation
IJCAI 2019
Liulishuo's System for the Spoken CALL Shared Task 2018
INTERSPEECH 2018
Part-Activated Deep Reinforcement Learning for Action Prediction
ECCV 2018
DNN Online with iVectors Acoustic Modeling and Doc2Vec Distributed Representations for Improving Automated Speech Scoring
INTERSPEECH 2016
Automatic Scoring of Monologue Video Interviews Using Multimodal Cues
INTERSPEECH 2016
VRCA: A Clustering Algorithm for Massive Amount of Texts
IJCAI 2015
Building Comparable Corpora Based on Bilingual LDA Model
ACL 2013
Improved pronunciation features for construct-driven assessment of non-native spontaneous speech
NAACL 2009
Incorporating Gesture and Gaze into Multimodal Models of Human-to-Human Communication
NAACL 2006