Jia Li

119 papers · 2007–2026 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🐝 Cross-Pollinator (14) 🏃 Academic Marathon (18) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (28) 🏠 Conference Loyalist (22) 🤝 Dynamic Duo (14) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (21) 🔬 Deep Specialist (14) 🚀 Conference Pioneer 🔥 Unstoppable (11) 📈 Trend Setter ⚡ Prolific Year (16) 💎 Century Club (113) ❓ The Questioner (4) 🗃️ Keyword Collector (57)

Conferences

AAAI (22) ACL (17) ICCV (16) NIPS (14) CVPR (13) ICLR (11) EMNLP (8) ICML (4) IJCAI (4) JMLR (4) ECCV (3) COLING (1) IJCNLP (1) MIDL (1)

Top co-authors

Nuo Chen (14) Fugee Tsung (10) Ziqi Gao (10) Zhi Jin (9) Ge Li (9) Yifan Zhao (9) Jianheng Tang (8) Yonghong Tian (8) Changqun Xia (8) Xiaowu Chen (7)

Keywords

large language model (19) graph neural network (15) benchmark evaluation (8) semantic segmentation (8) representation learning (7) convolutional neural network (7) few-shot learning (6) code generation (6) metric learning (6) model compression (5) object detection (5) diffusion model (4) graph representation (4) attention mechanism (4) anomaly detection (4) software engineering (3) domain generalization (3) reinforcement learning (3) contrastive learning (3) optimal transport (3)

Papers

Toward Gaze Target Detection of Young Autistic Children AAAI 2026

BAG: Benchmarking Anomaly Detection on Dynamic Graphs AAAI 2026

DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt AAAI 2026

MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification AAAI 2026

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? AAAI 2026

Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation AAAI 2026

Benchmarking Long-Context Language Models on Long Code Understanding ACL 2025

Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps ACL 2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points ACL 2025

RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning ACL 2025

Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations COLING 2025

MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning IJCAI 2025

IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck ICML 2025

GraphArena: Evaluating and Exploring Large Language Models on Graph Computation ICLR 2025

SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark ICLR 2025

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization ICLR 2025

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer ICLR 2025

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025

Holistic Correction with Object Prototype for Video Object Segmentation AAAI 2025

FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis AAAI 2025

Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval AAAI 2025

A Comprehensive Evaluation on Event Reasoning of Large Language Models AAAI 2025

Fair Text-to-Image Diffusion via Fair Mapping AAAI 2025

FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation ICCV 2025

ForCenNet: Foreground-Centric Network for Document Image Rectification ICCV 2025

Zeroth-Order Fine-Tuning of LLMs in Random Subspaces ICCV 2025

TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration ICCV 2025

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models EMNLP 2025

Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning CVPR 2025

How does Misinformation Affect Large Language Model Behaviors and Preferences? ACL 2025

S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning ACL 2025

One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025

A Survey of Graph Meets Large Language Model: Progress and Future Directions IJCAI 2024

How to Use Diffusion Priors under Sparse Views? NIPS 2024

GLBench: A Comprehensive Benchmark for Graph with Large Language Models NIPS 2024

ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NIPS 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NIPS 2024

Towards Stable Representations for Protein Interface Prediction NIPS 2024

ProG: A Graph Prompt Learning Benchmark NIPS 2024

ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer NIPS 2024

4-bit Shampoo for Memory-Efficient Network Training NIPS 2024

UniGAD: Unifying Multi-level Graph Anomaly Detection NIPS 2024

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models AAAI 2024

Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges ACL 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories ACL 2024

From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting ACL 2024

Neural Super-Resolution for Real-time Rendering with Radiance Demodulation CVPR 2024

Segment Every Out-of-Distribution Object CVPR 2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations EMNLP 2024

SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases ICLR 2024

EventRPG: Event Data Augmentation with Relevance Propagation Guidance ICLR 2024

Protein Multimer Structure Prediction via Prompt Learning ICLR 2024

Deep Reinforcement Learning for Modelling Protein Complexes ICLR 2024

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform ICML 2024

All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder AAAI 2023

Deep Insights into Noisy Pseudo Labeling on Graph Data NIPS 2023

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection NIPS 2023

TriDet: Temporal Action Detection With Relative Boundary Modeling CVPR 2023

Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters EMNLP 2023

Natural Response Generation for Chinese Reading Comprehension EMNLP 2023

Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension EMNLP 2023

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis MIDL 2023

Structural Contrastive Pretraining for Cross-Lingual Comprehension ACL 2023

E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images ICCV 2023

Alleviating Over-smoothing for Unsupervised Sentence Representation ACL 2023

Self-Edit: Fault-Aware Code Editor for Code Generation ACL 2023

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax AAAI 2023

Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning AAAI 2023

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data ICLR 2023

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment ACL 2023

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively NIPS 2022

Rethinking Graph Neural Networks for Anomaly Detection ICML 2022

ConTinTin: Continual Learning from Task Instructions ACL 2022

ReAct: Temporal Action Detection with Relational Queries ECCV 2022

Retinomorphic Object Detection in Asynchronous Visual Streams AAAI 2022

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing ECCV 2022

Video Demoireing With Relation-Based Temporal Consistency CVPR 2022

Pyramid Grafting Network for One-Stage High Resolution Saliency Detection CVPR 2022

FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains CVPR 2021

Graph-Based High-Order Relation Discovery for Fine-Grained Recognition CVPR 2021

Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection CVPR 2021

Deconvolutional Networks on Graph Data NIPS 2021

Pyramidal Feature Shrinking for Salient Object Detection AAAI 2021

Transformer-Based Dual Relation Graph for Multi-Label Image Recognition ICCV 2021

Heterogeneous Relational Complement for Vehicle Re-Identification ICCV 2021

Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain ICCV 2021

A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers ICLR 2021

Dirichlet Graph Variational Autoencoder NIPS 2020

Learning Open Set Network with Discriminative Reciprocal Points ECCV 2020

Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem AAAI 2020

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation AAAI 2020

Ultrafast Video Attention Prediction with Coupled Knowledge Distillation AAAI 2020

Multi-Class Part Parsing With Joint Boundary-Semantic Awareness ICCV 2019

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems IJCNLP 2019

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems EMNLP 2019

Part-Regularized Near-Duplicate Vehicle Re-Identification CVPR 2019

Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 2019

Selectivity or Invariance: Boundary-Aware Salient Object Detection ICCV 2019

Harmonic Unpaired Image-to-image Translation ICLR 2019

Lifted Proximal Operator Machines AAAI 2019

AirDialogue: An Environment for Goal-Oriented Dialogue Research EMNLP 2018

Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering ACL 2017

A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization ICML 2017

Primary Video Object Segmentation via Complementary CNNs and Neighborhood Reversible Flow ICCV 2017

Clustering with Hidden Markov Model on Variable Blocks JMLR 2017

Detecting Masked Faces in the Wild With LLE-CNNs CVPR 2017

What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors CVPR 2017

Look, Perceive and Segment: Finding the Salient Objects in Images via Two-Stream Fixation-Semantic CNNs ICCV 2017

Embedding 3D Geometric Features for Rigid Object Part Segmentation ICCV 2017

Adversarial Sequence Tagging IJCAI 2016

A Data-Driven Metric for Comprehensive Evaluation of Saliency Models ICCV 2015

Semantic Object Segmentation via Detection in Weakly Labeled Video CVPR 2015

Forecasting Web Page Views: Methods and Observations JMLR 2008

A Nonparametric Statistical Approach to Clustering via Mode Identification JMLR 2007