Zhi Zheng
24 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Machine Learning
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Learning Types · Machine Learning
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Natural Language Processing
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Optimization & Theory
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large language model
(9)
multimodal large language model
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question answering
(3)
behavioral pattern
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graph neural network
(2)
neural combinatorial optimization
(2)
knowledge graph
(2)
recommender system
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language model
(2)
large-scale optimization
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prototype learning
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object detection
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logical reasoning
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multimodal recommendation
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probabilistic modeling
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reinforcement learning
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uncertainty quantification
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named entity recognition
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hierarchical learning
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few-shot learning
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Papers
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
ACL 2026
SkySplat: Generalizable 3D Gaussian Splatting from Multi-Temporal Sparse Satellite Images
AAAI 2026
VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit
ACL 2026
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
ACL 2025
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
ICML 2025
Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling
IJCAI 2025
Following Occam’s Razor: Dynamic Combination of Structured Knowledge for Multi-Hop Question Answering using LLMs
EMNLP 2025
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
AAAI 2025
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
AAAI 2025
MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval
COLING 2025
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
ICML 2025
Multi-Branch Self-Drafting for LLM Inference Acceleration
AAAI 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing
EMNLP 2025
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
AAAI 2024
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition
EMNLP 2024
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
ICML 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
AAAI 2024
Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding
EMNLP 2024
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
AAAI 2024
Make Large Language Model a Better Ranker
EMNLP 2024
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
NeurIPS 2024
Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery
ICML 2023
Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns
AAAI 2023
BERT-QE: Contextualized Query Expansion for Document Re-ranking
EMNLP 2020