Jia Li
124 papers · 2007–2026 · 14 conferences · across top CS/AI conferences
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Conferences
AAAI (22)
ACL (22)
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
Keywords
large language model
(21)
graph neural network
(15)
semantic segmentation
(8)
benchmark evaluation
(8)
code generation
(7)
representation learning
(7)
convolutional neural network
(7)
few-shot learning
(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
I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing
ACL 2026
Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation
AAAI 2026
DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt
AAAI 2026
BAG: Benchmarking Anomaly Detection on Dynamic Graphs
AAAI 2026
MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification
AAAI 2026
Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses
ACL 2026
KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?
ACL 2026
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?
AAAI 2026
From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level
ACL 2026
Planning-Guided Tutoring with Assessment-Driven Memory for Pedagogical LLM Tutors
ACL 2026
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
ICLR 2025
SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark
ICLR 2025
Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
EMNLP 2025
FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation
ICCV 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
ICLR 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
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
ICLR 2025
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck
ICML 2025
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
CVPR 2025
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
IJCAI 2025
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
ICCV 2025
ForCenNet: Foreground-Centric Network for Document Image Rectification
ICCV 2025
TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration
ICCV 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
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
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement
ICCV 2025
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
ICLR 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
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract)
IJCAI 2024
How to Use Diffusion Priors under Sparse Views?
NIPS 2024
Neural Super-Resolution for Real-time Rendering with Radiance Demodulation
CVPR 2024
Segment Every Out-of-Distribution Object
CVPR 2024
A Survey of Graph Meets Large Language Model: Progress and Future Directions
IJCAI 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NIPS 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML 2024
ControlMath: Controllable Data Generation Promotes Math Generalist Models
EMNLP 2024
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
EMNLP 2024
Deep Reinforcement Learning for Modelling Protein Complexes
ICLR 2024
Protein Multimer Structure Prediction via Prompt Learning
ICLR 2024
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
ICLR 2024
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI 2023
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
AAAI 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
NIPS 2023
Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters
EMNLP 2023
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
ACL 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
Natural Response Generation for Chinese Reading Comprehension
EMNLP 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data
NIPS 2023
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
EMNLP 2023
TriDet: Temporal Action Detection With Relative Boundary Modeling
CVPR 2023
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images
ICCV 2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
ICLR 2023
Alleviating Over-smoothing for Unsupervised Sentence Representation
ACL 2023
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax
AAAI 2023
Self-Edit: Fault-Aware Code Editor for Code Generation
ACL 2023
ReAct: Temporal Action Detection with Relational Queries
ECCV 2022
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
NIPS 2022
Retinomorphic Object Detection in Asynchronous Visual Streams
AAAI 2022
ConTinTin: Continual Learning from Task Instructions
ACL 2022
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
CVPR 2022
Video Demoireing With Relation-Based Temporal Consistency
CVPR 2022
Towards Efficient and Scale-Robust Ultra-High-Definition Image DemoirΓ©ing
ECCV 2022
Rethinking Graph Neural Networks for Anomaly Detection
ICML 2022
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
ICCV 2021
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
ICLR 2021
Transformer-Based Dual Relation Graph for Multi-Label Image Recognition
ICCV 2021
Deconvolutional Networks on Graph Data
NIPS 2021
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains
CVPR 2021
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
CVPR 2021
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters
JMLR 2021
Graph-Based High-Order Relation Discovery for Fine-Grained Recognition
CVPR 2021
Pyramidal Feature Shrinking for Salient Object Detection
AAAI 2021
Heterogeneous Relational Complement for Vehicle Re-Identification
ICCV 2021
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
AAAI 2020
Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem
AAAI 2020
Dirichlet Graph Variational Autoencoder
NIPS 2020
Learning Open Set Network with Discriminative Reciprocal Points
ECCV 2020
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
AAAI 2020
Harmonic Unpaired Image-to-image Translation
ICLR 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
ICCV 2019
Multi-Class Part Parsing With Joint Boundary-Semantic Awareness
ICCV 2019
Lifted Proximal Operator Machines
AAAI 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
EMNLP 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
IJCNLP 2019
Part-Regularized Near-Duplicate Vehicle Re-Identification
CVPR 2019
Selectivity or Invariance: Boundary-Aware Salient Object Detection
ICCV 2019
AirDialogue: An Environment for Goal-Oriented Dialogue Research
EMNLP 2018
Embedding 3D Geometric Features for Rigid Object Part Segmentation
ICCV 2017
A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization
ICML 2017
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering
ACL 2017
Clustering with Hidden Markov Model on Variable Blocks
JMLR 2017
What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors
CVPR 2017
Detecting Masked Faces in the Wild With LLE-CNNs
CVPR 2017
Primary Video Object Segmentation via Complementary CNNs and Neighborhood Reversible Flow
ICCV 2017
Look, Perceive and Segment: Finding the Salient Objects in Images via Two-Stream Fixation-Semantic CNNs
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