Yong Li

112 papers · 2015–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (22) 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (12) 🏠 Conference Loyalist (21) 🏆 Grand Slam 🏆 Keyword Champion 🧬 Topic Evolution 👥 Mega-Team (32) 👑 Triple Crown 🤝 Dynamic Duo (14) 🔬 Deep Specialist (12) ⚡ Prolific Year (5) 🚀 Conference Pioneer 🗃️ Keyword Collector (487) 🔥 Unstoppable (11) 📈 Trend Setter 💎 Century Club (104)

Conferences

AAAI (24) IJCAI (21) ACL (13) ICLR (10) EMNLP (9) NIPS (9) CVPR (7) ICCV (6) ICML (6) NSDI (2) OSDI (2) ECCV (1) NAACL (1) SEMEVAL (1)

Top co-authors

Chen Gao (14) Depeng Jin (13) Jie Feng (11) Jingtao Ding (11) Quanming Yao (9) Huandong Wang (6) Zhen Cui (6) Wei LIN (5) Pan Hui (5) Qingmin Liao (5)

Research topics

Statistics (1) Education (1)

Keywords

large language model (15) multimodal learning (7) semantic segmentation (5) graph neural network (4) model compression (4) contrastive learning (4) diffusion model (4) representation learning (4) knowledge distillation (3) retrieval-augmented generation (3) convolutional neural network (3) llm agent (3) generative model (3) few-shot learning (3) model quantization (3) sentiment analysis (3) emotion recognition (2) face recognition (2) information retrieval (2) trajectory prediction (2)

Papers

ProBench: Benchmarking GUI Agents with Accurate Process Information AAAI 2026

EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training AAAI 2026

Realistic Face Reconstruction from Facial Embeddings via Diffusion Models AAAI 2026

WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026

GeoProblem Factory: A Visual Interaction System for Solvable and Controllable Geometric Problem Generation by Leveraging Symbolic Deduction Engine AAAI 2026

History-Aware Reasoning for GUI Agents AAAI 2026

Good-for-MDP State Reduction for Stochastic LTL Planning AAAI 2026

DehazeGS: Seeing Through Fog with 3D Gaussian Splatting AAAI 2026

Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length ICLR 2025

Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers ICCV 2025

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence ICCV 2025

Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification ICCV 2025

AgentSquare: Automatic LLM Agent Search in Modular Design Space ICLR 2025

CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration ICML 2025

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models ICML 2025

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation AAAI 2025

Re-Attentional Controllable Video Diffusion Editing AAAI 2025

Treasures in Discarded Weights for LLM Quantization AAAI 2025

ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization AAAI 2025

MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector AAAI 2025

Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems ICML 2025

Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization ICML 2025

Efficient Long Context Fine-tuning with Chunk Flow ICML 2025

Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents ACL 2025

Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics ACL 2025

CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory ACL 2025

UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces ACL 2025

A Parallelized Framework for Simulating Large-Scale LLM Agents with Realistic Environments and Interactions ACL 2025

Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine ACL 2025

EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025

Open-Set Living Need Prediction with Large Language Models ACL 2025

Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025

Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production NSDI 2025

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction NAACL 2025

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution IJCAI 2025

OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data IJCAI 2025

Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives IJCAI 2025

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning ICLR 2025

CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning IJCAI 2025

Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction IJCAI 2025

CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space EMNLP 2025

PychoAgent: Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events EMNLP 2025

Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025

AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment EMNLP 2025

Depression Detection on Social Media with Large Language Models EMNLP 2025

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning EMNLP 2025

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation ICLR 2025

Understanding Expressivity of GNN in Rule Learning ICLR 2024

Masked Face Recognition with Generative-to-Discriminative Representations ICML 2024

Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata IJCAI 2024

Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024

Patch-Aware Sample Selection for Efficient Masked Image Modeling AAAI 2024

GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time AAAI 2024

Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data AAAI 2024

UV-SAM: Adapting Segment Anything Model for Urban Village Identification AAAI 2024

Llumnix: Dynamic Scheduling for Large Language Model Serving OSDI 2024

PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations ACL 2024

EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities ACL 2024

Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction NIPS 2024

HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction NIPS 2024

Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases EMNLP 2024

From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas IJCAI 2024

Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery IJCAI 2024

Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration NIPS 2024

VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States IJCAI 2024

Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation ICLR 2024

PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023

Incomplete Multimodality-Diffused Emotion Recognition NIPS 2023

DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NIPS 2023

Efficient Hyper-parameter Optimization with Cubic Regularization NIPS 2023

TAM of SCNU at SemEval-2023 Task 1: FCLL: A Fine-grained Contrastive Language-Image Learning Model for Cross-language Visual Word Sense Disambiguation ACL 2023

Style Projected Clustering for Domain Generalized Semantic Segmentation CVPR 2023

Decoupled Multimodal Distilling for Emotion Recognition CVPR 2023

Relation-aware Ensemble Learning for Knowledge Graph Embedding EMNLP 2023

Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning ICCV 2023

DynaMS: Dyanmic Margin Selection for Efficient Deep Learning ICLR 2023

Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings ICLR 2023

Learning Symbolic Models for Graph-structured Physical Mechanism ICLR 2023

TAM of SCNU at SemEval-2023 Task 1: FCLL: A Fine-grained Contrastive Language-Image Learning Model for Cross-language Visual Word Sense Disambiguation SEMEVAL 2023

MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems AAAI 2022

A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs IJCAI 2022

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training EMNLP 2022

Efficient Hyper-parameter Search for Knowledge Graph Embedding ACL 2022

Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach ECCV 2022

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters NSDI 2022

Automorphic Equivalence-aware Graph Neural Network NIPS 2021

Progressive Feature Interaction Search for Deep Sparse Network NIPS 2021

Synthesizing Good-Enough Strategies for LTLf Specifications IJCAI 2021

Real-Time Image Enhancer via Learnable Spatial-Aware 3D Lookup Tables ICCV 2021

AttnMove: History Enhanced Trajectory Recovery via Attentional Network AAAI 2021

Consistent Instance False Positive Improves Fairness in Face Recognition CVPR 2021

SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance CVPR 2021

Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021

Learnable Embedding sizes for Recommender Systems ICLR 2021

Multi-View Joint Graph Representation Learning for Urban Region Embedding IJCAI 2020

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering NIPS 2020

AntMan: Dynamic Scaling on GPU Clusters for Deep Learning OSDI 2020

A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling IJCAI 2020

Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications AAAI 2020

DeepDPM: Dynamic Population Mapping via Deep Neural Network AAAI 2019

DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation IJCAI 2019

Reinforced Negative Sampling for Recommendation with Exposure Data IJCAI 2019

A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data IJCAI 2019

Adaptive Context Network for Scene Parsing ICCV 2019

Self-Supervised Representation Learning From Videos for Facial Action Unit Detection CVPR 2019

Dual Attention Network for Scene Segmentation CVPR 2019

DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis AAAI 2019

Improving Implicit Recommender Systems with View Data IJCAI 2018

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching IJCAI 2017

Collaborative Evolution for User Profiling in Recommender Systems IJCAI 2016

Weakly Supervised RBM for Semantic Segmentation IJCAI 2015

Image Feature Learning for Cold Start Problem in Display Advertising IJCAI 2015