Liang Zhang
74 papers · 2008–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Conference Polyglot (15)
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Interdisciplinary Bridge
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Taxonomy Completionist
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Renaissance Researcher
(10)
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Dynamic Duo
(14)
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Triple Crown
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Keyword Champion
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Grand Slam
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Deep Specialist
(16)
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Conference Pioneer
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Unstoppable
(10)
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Prolific Year
(15)
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The Questioner
(2)
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Keyword Collector
(333)
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Century Club
(69)
Conferences
AAAI (12)
ACL (10)
EMNLP (10)
NIPS (9)
ICCV (7)
IJCAI (6)
CVPR (4)
MICCAI (4)
ICML (3)
COLING (2)
ICLR (2)
NAACL (2)
AISTATS (1)
ECCV (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(8)
multimodal learning
(8)
sign language translation
(5)
knowledge distillation
(5)
attention mechanism
(5)
reinforcement learning
(4)
minimax optimization
(3)
neural network
(3)
contrastive learning
(3)
relation extraction
(3)
document-level relation extraction
(3)
vision-language model
(3)
point cloud
(3)
semantic segmentation
(3)
text generation
(3)
multimodal large language model
(3)
few-shot learning
(2)
multi-modal learning
(2)
document understanding
(2)
video understanding
(2)
Papers
ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing
AAAI 2026
Promptus: Can Prompt Streaming Replace Video Streaming
AAAI 2026
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
AAAI 2026
FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning
AAAI 2026
POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
ACL 2026
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
EMNLP 2025
LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models
EMNLP 2025
A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection
EMNLP 2025
SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model
MICCAI 2025
ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization
MICCAI 2025
A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm
MICCAI 2025
Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
ICML 2025
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms
AAAI 2025
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization
AAAI 2025
On the Crucial Role of Initialization for Matrix Factorization
ICLR 2025
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding
ICCV 2025
Dynamic Feature Fusion for Sign Language Translation Using HyperNetworks
NAACL 2025
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding
ACL 2025
A Self-Denoising Model for Robust Few-Shot Relation Extraction
ACL 2025
Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss
ACL 2025
LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
ACL 2025
TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
MICCAI 2025
Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding
ICCV 2025
Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference
EMNLP 2025
Adaptive Simultaneous Sign Language Translation with Confident Translation Length Estimation
COLING 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
NIPS 2024
Enhance Sketch Recognitionβs Explainability via Semantic Component-Level Parsing
AAAI 2024
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
AAAI 2024
Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models
ACL 2024
Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective
ACL 2024
Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing
ACL 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
AISTATS 2024
Language Model Guided Interpretable Video Action Reasoning
CVPR 2024
DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition
ECCV 2024
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging
EMNLP 2024
One2Set + Large Language Model: Best Partners for Keyphrase Generation
EMNLP 2024
Multi-Level Cross-Modal Alignment for Speech Relation Extraction
EMNLP 2024
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding
EMNLP 2024
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
ICLR 2024
DPZero: Private Fine-Tuning of Language Models without Backpropagation
ICML 2024
Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation
NAACL 2024
MobileNVC: Real-Time 1080p Neural Video Compression on a Mobile Device
WACV 2024
Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation
NIPS 2023
Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction
AAAI 2023
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
NIPS 2023
UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
NIPS 2023
Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder
IJCAI 2023
Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction
IJCAI 2023
MPMQA: Multimodal Question Answering on Product Manuals
AAAI 2023
Accommodating Audio Modality in CLIP for Multimodal Processing
AAAI 2023
HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction
EMNLP 2023
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation
ICCV 2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
ICCV 2023
Explore and Tell: Embodied Visual Captioning in 3D Environments
ICCV 2023
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
CVPR 2023
Movie101: A New Movie Understanding Benchmark
ACL 2023
InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation
ACL 2023
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
IJCAI 2022
Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal Retrieval
NIPS 2022
Towards Better Document-level Relation Extraction via Iterative Inference
EMNLP 2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
NIPS 2022
Learning From Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection
CVPR 2022
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
ICML 2022
Free-Form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
ICCV 2021
Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform
ICCV 2021
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration
IJCAI 2020
On Vocabulary Reliance in Scene Text Recognition
CVPR 2020
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?
NIPS 2020
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
IJCAI 2019
SepNE: Bringing Separability to Network Embedding
AAAI 2019
Attention in Convolutional LSTM for Gesture Recognition
NIPS 2018
Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval
IJCAI 2017
Hashtag Recommendation with Topical Attention-Based LSTM
COLING 2016
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
NIPS 2008