Bin Guo
18 papers · 2018–2026 · 8 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (44) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Artificial Intelligence
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Machine Learning
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Core AI
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Deep Learning
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Computer Vision
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Architectures
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Optimization & Theory
(4)
Reinforcement Learning
(3)
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Core Methods
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Processing
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Natural Language Processing
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Keywords
large language model
(2)
multi-agent reinforcement learning
(2)
multi-task learning
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zero-shot learning
(1)
masked language model
(1)
feature learning
(1)
attention mechanism
(1)
test-time adaptation
(1)
question answering
(1)
chain-of-thought reasoning
(1)
uncertainty quantification
(1)
language modeling
(1)
multimodal learning
(1)
confidence calibration
(1)
reinforcement learning
(1)
video understanding
(1)
video anomaly detection
(1)
sensor fusion
(1)
scene graph
(1)
active learning
(1)
Papers
Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding
ACL 2026
TaskIT: Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer
CVPR 2026
VEG: Verbal 𝜖-greedy for Semantic Exploration in Multi-Turn RL Agents
ACL 2026
VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning
AAAI 2026
ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions
IJCAI 2025
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking
AAAI 2025
MMPlanner: Zero-Shot Multimodal Procedural Planning with Chain-of-Thought Object State Reasoning
EMNLP 2025
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
CVPR 2025
Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs
ACL 2025
Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model
IJCAI 2025
AntLM: Bridging Causal and Masked Language Models
CoNLL 2024
HAWK: Learning to Understand Open-World Video Anomalies
NeurIPS 2024
Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization
IJCAI 2023
PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer
ACL 2023
Joint Goal Segmentation and Goal Success Prediction on Multi-Domain Conversations
COLING 2022
Multi-agent Attentional Activity Recognition
IJCAI 2019
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction
IJCAI 2019
Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective
IJCAI 2018