Yifan Zhu
35 papers · 2021–2026 · 13 conferences · across top CS/AI conferences
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Conferences
AAAI (9)
EMNLP (5)
ACL (3)
ICCV (3)
ICLR (3)
ICML (3)
NIPS (3)
COLING (1)
CORL (1)
CVPR (1)
IJCAI (1)
NAACL (1)
RSS (1)
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Research topics
Keywords
3d reconstruction
(3)
neural network
(3)
graph neural network
(3)
knowledge graph
(3)
multimodal learning
(3)
transparent object
(2)
unlearnable example
(2)
data augmentation
(2)
dialogue generation
(2)
large language model
(2)
preference optimization
(2)
common ground
(2)
deformable convolution
(1)
particle filtering
(1)
adversarial learning
(1)
natural language processing
(1)
feature extraction
(1)
benchmark evaluation
(1)
reinforcement learning
(1)
domain adaptation
(1)
Papers
Beyond Pedagogical Principles: Multi-Horizon Preference Optimization for Efficient Socratic Tutoring
ACL 2026
More than Irrational: Modeling Belief-Biased Agents
AAAI 2026
CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product
AAAI 2026
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
ACL 2026
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
AAAI 2026
Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement
AAAI 2025
DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization
EMNLP 2025
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
AAAI 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
AAAI 2025
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
AAAI 2025
PowerMLP: An Efficient Version of KAN
AAAI 2025
TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
EMNLP 2025
Complex Numerical Reasoning with Numerical Semantic Pre-training Framework
EMNLP 2025
Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents
EMNLP 2025
MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures - A Comprehensive Framework
EMNLP 2025
INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph
ICLR 2025
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
ICLR 2025
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
ICLR 2025
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
ICML 2025
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
ICML 2025
Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding
IJCAI 2025
TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues
NAACL 2025
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models
NIPS 2024
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
ACL 2024
Common Ground Tracking in Multimodal Dialogue
COLING 2024
Toward Availability Attacks in 3D Point Clouds
ICML 2024
Detection and Defense of Unlearnable Examples
AAAI 2024
Structured Bayesian Meta-Learning for Data-Efficient Visual-Tactile Model Estimation
CORL 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
NIPS 2024
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
NIPS 2024
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections
CVPR 2023
Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift
RSS 2023
Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera
ICCV 2023
Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation
ICCV 2023
Transfusion: A Novel SLAM Method Focused on Transparent Objects
ICCV 2021