Kun Wang
97 papers · 2010–2026 · 18 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (18)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
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Dynamic Duo
(11)
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Triple Crown
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Grand Slam
π§¬
Topic Evolution
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Keyword Champion
(2)
π₯
Unstoppable
(7)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(304)
β
The Questioner
(4)
π
Century Club
(88)
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Conference Pioneer
Conferences
ACL (17)
AAAI (11)
ICLR (11)
NIPS (10)
ICML (9)
EMNLP (8)
COLING (6)
ECCV (6)
ICCV (5)
CVPR (4)
IJCAI (2)
MICCAI (2)
CORL (1)
ALT (1)
IJCNLP (1)
L4DC (1)
NAACL (1)
ACML (1)
Top co-authors
Research topics
Keywords
large language model
(13)
multi-agent system
(4)
depth completion
(4)
graph neural network
(4)
depth estimation
(4)
multimodal large language model
(3)
causal inference
(3)
backdoor attack
(3)
image restoration
(3)
deep learning
(3)
monocular depth estimation
(3)
self-supervised learning
(3)
knowledge graph
(3)
llm agent
(2)
backdoor adjustment
(2)
monocular vision
(2)
multi-modal learning
(2)
video instance segmentation
(2)
autonomous driving
(2)
knowledge editing
(2)
Papers
CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
ACL 2026
Backdoor Collapse: Eliminating Unknown Threats Via Known Backdoor Aggregation In Language Models
ACL 2026
JARVIS or Ultron? A Survey on the Safety and Security Threats of Computer-Using Agents
ACL 2026
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
AAAI 2026
Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers
AAAI 2026
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
AAAI 2026
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
AAAI 2026
Calibrating Inference Time Alignment with Sequence-level Risk Accumulation
ACL 2026
Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning
ACL 2026
DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
EMNLP 2025
OneForecast: A Universal Framework for Global and Regional Weather Forecasting
ICML 2025
KGMark: A Diffusion Watermark for Knowledge Graphs
ICML 2025
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
AAAI 2025
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
AAAI 2025
G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
ACL 2025
ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search
ACL 2025
MasRouter: Learning to Route LLMs for Multi-Agent Systems
ACL 2025
NetSafe: Exploring the Topological Safety of Multi-agent System
ACL 2025
FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering
ACL 2025
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges
ACL 2025
iAgent: LLM Agent as a Shield between User and Recommender Systems
ACL 2025
A Complete Characterization of Learnability for Stochastic Noisy Bandits
ALT 2025
Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition
MICCAI 2025
Deploying Multi-task Online Server with Large Language Model
COLING 2025
Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion
CVPR 2025
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis
EMNLP 2025
DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
EMNLP 2025
Position: LLMs Can be Good Tutors in English Education
EMNLP 2025
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
ICLR 2025
Knowledge Graph-Driven Memory Editing with Directional Interventions
EMNLP 2025
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
ICML 2025
Multi-agent Architecture Search via Agentic Supernet
ICML 2025
Discovering Latent Causal Graphs from Spatiotemporal Data
ICML 2025
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
ICCV 2025
ViLLa: Video Reasoning Segmentation with Large Language Model
ICCV 2025
Graph Sparsification via Mixture of Graphs
ICLR 2025
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
ICLR 2025
On the Role of Attention Heads in Large Language Model Safety
ICLR 2025
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
ICLR 2025
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
ICLR 2025
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
ICLR 2025
Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
CVPR 2024
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
CORL 2024
Gradient-based Visual Explanation for Transformer-based CLIP
ICML 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
ICML 2024
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
ICML 2024
Graph Lottery Ticket Automated
ICLR 2024
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion
CVPR 2024
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
ICLR 2024
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
AAAI 2024
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
AAAI 2024
M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer
MICCAI 2024
Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
IJCAI 2024
Towards Neuron Attributions in Multi-Modal Large Language Models
NIPS 2024
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
NIPS 2024
MolTC: Towards Molecular Relational Modeling In Language Models
ACL 2024
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
NIPS 2024
SyncVIS: Synchronized Video Instance Segmentation
NIPS 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
NIPS 2024
Multi-scale Cross Distillation for Object Detection in Aerial Images
ECCV 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
IJCAI 2024
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
NIPS 2024
CLEAR: Can Language Models Really Understand Causal Graphs?
EMNLP 2024
Dueling over Dessert, Mastering the Art of Repeated Cake Cutting
NIPS 2024
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
ICLR 2024
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion
AAAI 2023
Siamese DETR
CVPR 2023
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
NIPS 2023
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
NIPS 2023
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
ICLR 2023
Distortion and Uncertainty Aware Loss for Panoramic Depth Completion
ICML 2023
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification
COLING 2022
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
ACL 2022
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities
ACL 2022
Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion
ECCV 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
ECCV 2022
RigNet: Repetitive Image Guided Network for Depth Completion
ECCV 2022
R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference
EMNLP 2022
A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation
IJCNLP 2021
Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark
ICCV 2021
Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray
AAAI 2021
Exploring Forensic Dental Identification with Deep Learning
NIPS 2021
A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation
ACL 2021
Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations
AAAI 2020
What Have We Achieved on Text Summarization?
EMNLP 2020
Adapting Object Detectors with Conditional Domain Normalization
ECCV 2020
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
L4DC 2020
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform
ECCV 2020
Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation
ACML 2020
Code-Switching for Enhancing NMT with Pre-Specified Translation
NAACL 2019
Chained Cascade Network for Object Detection
ICCV 2017
Scene Graph Generation From Objects, Phrases and Region Captions
ICCV 2017
Knowledge Sharing via Social Login: Exploiting Microblogging Service for Warming up Social Question Answering Websites
COLING 2014
Dynamically Integrating Cross-Domain Translation Memory into Phrase-Based Machine Translation during Decoding
COLING 2014
Integrating Translation Memory into Phrase-Based Machine Translation during Decoding
ACL 2013
Integrating Surface and Abstract Features for Robust Cross-Domain Chinese Word Segmentation
COLING 2012
A Character-Based Joint Model for Chinese Word Segmentation
COLING 2010