Jie Liu
111 papers · 2012–2026 · 24 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (23) π Conference Polyglot (23)
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Academic Marathon
(13)
π£
Hot Topic Early Bird
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Cross-Pollinator
(15)
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Conference Loyalist
(22)
π₯
Mega-Team
(20)
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Keyword Champion
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Grand Slam
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Deep Specialist
(13)
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Century Club
(95)
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Conference Pioneer
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Trend Setter
ποΈ
Keyword Collector
(51)
β‘
Prolific Year
(19)
π₯
Unstoppable
(14)
Conferences
ACL (23)
AAAI (22)
CVPR (12)
ICCV (7)
IJCAI (6)
NIPS (4)
ICML (4)
ECCV (4)
EMNLP (4)
INTERSPEECH (3)
ICLR (3)
COLING (3)
AISTATS (2)
IJCNLP (2)
MICCAI (2)
NSDI (2)
EACL (1)
CONLL (1)
ACML (1)
JMLR (1)
NAACL (1)
AACL (1)
RSS (1)
UAI (1)
Top co-authors
Keywords
large language model
(19)
multimodal learning
(7)
reinforcement learning
(5)
text generation
(5)
model compression
(5)
prototype learning
(4)
representation learning
(4)
graph neural network
(4)
semantic segmentation
(4)
image super-resolution
(4)
knowledge distillation
(4)
convolutional neural network
(3)
language model
(3)
object detection
(3)
vision-language model
(3)
knowledge graph
(3)
benchmark evaluation
(3)
social media analysis
(3)
few-shot learning
(3)
attention mechanism
(3)
Papers
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph
ACL 2026
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model (Abstract Reprint)
AAAI 2026
ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection
AAAI 2026
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models
ACL 2026
TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking
AAAI 2026
CaTFormer: Causal Temporal Transformer with Dynamic Contextual Fusion for Driving Intention Prediction
AAAI 2026
Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot
AAAI 2026
Dual-Branch Asymmetric Discrepancy Learning Based on Fake Image Pattern-Coexistence for AI-Generated Image Detection
AAAI 2026
Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios
ACL 2026
Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models
ACL 2026
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
EACL 2026
Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation
AAAI 2026
HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning
ACL 2026
SeDev: Structured Semantic Exploration for LLM-Driven Code Generation
ACL 2026
Beyond Atomic Characters: Glyph-Aware Sub-character Alignment for Low-Resource Multilingual OCR
ACL 2026
STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training
ACL 2026
SurveyGen-I: Consistent Scientific Survey Generation with Evolving Plans and Memory-Guided Writing
AACL 2025
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
ICLR 2025
GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent
ACL 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
ACL 2025
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
ACL 2025
Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation
ACL 2025
RTADev: Intention Aligned Multi-Agent Framework for Software Development
ACL 2025
The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents
ACL 2025
T-MES: Trait-Aware Mix-of-Experts Representation Learning for Multi-trait Essay Scoring
COLING 2025
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
COLING 2025
QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction
NAACL 2025
Paired Image Generation with Diffusion-Guided Diffusion Models
MICCAI 2025
SurveyGen-I: Consistent Scientific Survey Generation with Evolving Plans and Memory-Guided Writing
IJCNLP 2025
PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction
ICML 2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
ICML 2025
In-the-wild Audio Spatialization with Flexible Text-guided Localization
ACL 2025
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing
CVPR 2025
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks
CVPR 2025
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression
CVPR 2025
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
CVPR 2025
CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution
CVPR 2025
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
ICLR 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS
AAAI 2025
KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling
EMNLP 2025
Convolutional LoRA Aggregation for Unseen Tasks Adaptation
EMNLP 2025
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task
EMNLP 2025
Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates
ICCV 2025
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching
AAAI 2025
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
AAAI 2025
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach
AAAI 2025
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
ACL 2024
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
NIPS 2024
DDK: Distilling Domain Knowledge for Efficient Large Language Models
NIPS 2024
Sketch and Refine: Towards Fast and Accurate Lane Detection
AAAI 2024
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
AAAI 2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
AAAI 2024
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
AAAI 2024
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract)
AAAI 2024
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
ACL 2024
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
ACL 2024
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
ACL 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
ACL 2024
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis
CVPR 2024
Click Prompt Learning with Optimal Transport for Interactive Segmentation
ECCV 2024
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation
ECCV 2024
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
EMNLP 2024
Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of Speech-Silence and Word-Punctuation
INTERSPEECH 2024
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph
MICCAI 2024
Domain Adaptation with Cauchy-Schwarz Divergence
UAI 2024
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
ICCV 2023
Adjustment and Alignment for Unbiased Open Set Domain Adaptation
CVPR 2023
Video Frame Interpolation with Densely Queried Bilateral Correlation
IJCAI 2023
Imbalanced Node Classification Beyond Homophilic Assumption
IJCAI 2023
TranUSR: Phoneme-to-word Transcoder Based Unified Speech Representation Learning for Cross-lingual Speech Recognition
INTERSPEECH 2023
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
RSS 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
NIPS 2023
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency
AAAI 2023
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution
AAAI 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
ICCV 2023
Robust Object Modeling for Visual Tracking
ICCV 2023
Topology Imbalance and Relation Inauthenticity Aware Hierarchical Graph Attention Networks for Fake News Detection
COLING 2022
Multi-Scale Distillation from Multiple Graph Neural Networks
AAAI 2022
MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract)
AAAI 2022
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
CVPR 2022
SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation
CVPR 2022
Unknown-Oriented Learning for Open Set Domain Adaptation
ECCV 2022
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
ICLR 2022
Few-Shot Semantic Segmentation With Cyclic Memory Network
ICCV 2021
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2
IJCNLP 2021
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation
CVPR 2021
Federated Learning with Dynamic Transformer for Text to Speech
INTERSPEECH 2021
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
AAAI 2021
Inception Convolution With Efficient Dilation Search
CVPR 2021
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2
ACL 2021
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection
ICCV 2021
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
IJCAI 2020
Dress like an Internet Celebrity: Fashion Retrieval in Videos
IJCAI 2020
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation
ACL 2020
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection
ECCV 2020
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction
ACL 2020
Residual Feature Aggregation Network for Image Super-Resolution
CVPR 2020
Understanding and Improving Proximity Graph Based Maximum Inner Product Search
AAAI 2020
Network Embedding with Dual Generation Tasks
IJCAI 2019
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model
IJCAI 2018
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
ICML 2017
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems
ACML 2017
Structure-Leveraged Methods in Breast Cancer Risk Prediction
JMLR 2016
FastRoute: A Scalable Load-Aware Anycast Routing Architecture for Modern CDNs
NSDI 2015
Multiple Testing under Dependence via Semiparametric Graphical Models
ICML 2014
DECAF: Detecting and Characterizing Ad Fraud in Mobile Apps
NSDI 2014
Learning Heterogeneous Hidden Markov Random Fields
AISTATS 2014
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models
NIPS 2013
Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution
CONLL 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
AISTATS 2012