Qi Zhu
69 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (14) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (13)
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Conference Polyglot
(13)
π
Academic Marathon
(8)
π
Cross-Pollinator
(13)
π
Triple Crown
π₯
Mega-Team
(77)
π
Keyword Champion
(2)
π±
Topic Pioneer
π
Grand Slam
π
Century Club
(63)
ποΈ
Keyword Collector
(276)
β‘
Prolific Year
(13)
π₯
Unstoppable
(9)
β
The Questioner
(4)
Conferences
ACL (15)
AAAI (8)
EMNLP (8)
CVPR (7)
ICCV (6)
ICLR (6)
NIPS (6)
ICML (4)
IJCAI (3)
MICCAI (2)
NAACL (2)
INTERSPEECH (1)
L4DC (1)
Top co-authors
Research topics
Keywords
large language model
(7)
transfer learning
(6)
reinforcement learning
(5)
few-shot learning
(5)
self-supervised learning
(4)
domain adaptation
(4)
graph neural network
(4)
multimodal learning
(3)
image restoration
(3)
dialogue system
(3)
catastrophic forgetting
(3)
knowledge graph
(3)
continual learning
(2)
semantic parsing
(2)
semi-supervised learning
(2)
natural language generation
(2)
benchmark evaluation
(2)
federated learning
(2)
mathematical reasoning
(2)
representation learning
(2)
Papers
How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
ACL 2026
SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL
ACL 2026
DeepPhy: Benchmarking Agentic VLMs on Physical Reasoning
AAAI 2026
Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning
ACL 2026
PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis
AAAI 2026
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
ACL 2026
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
NAACL 2025
Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition
MICCAI 2025
Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment
MICCAI 2025
AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling
IJCAI 2025
Directly Forecasting Belief for Reinforcement Learning with Delays
ICML 2025
FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining
ICML 2025
Spectro-Riemannian Graph Neural Networks
ICLR 2025
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
ACL 2025
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
ACL 2025
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
ACL 2025
Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs
ACL 2025
On Large Language Model Continual Unlearning
ICLR 2025
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
ICLR 2025
When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning
ICCV 2025
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction
CVPR 2025
Where am I? Cross-View Geo-localization with Natural Language Descriptions
ICCV 2025
Split Adaptation for Pre-trained Vision Transformers
CVPR 2025
SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling
CVPR 2025
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
ICCV 2025
ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
EMNLP 2025
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
EMNLP 2025
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
CVPR 2024
Variational Delayed Policy Optimization
NIPS 2024
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
NIPS 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
REGLO: Provable Neural Network Repair for Global Robustness Properties
AAAI 2024
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
ACL 2024
Parallelizing non-linear sequential models over the sequence length
ICLR 2024
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays
ICML 2024
Missingness-resilient Video-enhanced Multimodal Disfluency Detection
INTERSPEECH 2024
State-wise safe reinforcement learning with pixel observations
L4DC 2024
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
NAACL 2024
Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement
AAAI 2023
KPT: Keyword-Guided Pre-training for Grounded Dialog Generation
AAAI 2023
Building Multi-domain Dialog State Trackers from Single-domain Dialogs
EMNLP 2023
Exploring Temporal Frequency Spectrum in Deep Video Deblurring
ICCV 2023
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract)
IJCAI 2023
Leapfrog Diffusion Model for Stochastic Trajectory Prediction
CVPR 2023
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations
NIPS 2023
Deja Vu: Continual Model Generalization for Unseen Domains
ICLR 2023
Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction
ICCV 2023
FouriDown: Factoring Down-Sampling into Shuffling and Superposing
NIPS 2023
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format
EMNLP 2023
Patton: Language Model Pretraining on Text-Rich Networks
ACL 2023
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
ICML 2023
Federated Class-Incremental Learning
CVPR 2022
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
ICLR 2022
A Unified Dialogue User Simulator for Few-shot Data Augmentation
EMNLP 2022
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
EMNLP 2022
Continual Prompt Tuning for Dialog State Tracking
ACL 2022
Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator
ICCV 2021
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
NIPS 2021
Addressing Class Imbalance in Federated Learning
AAAI 2021
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
AAAI 2021
Chop Chop BERT: Visual Question Answering by Chopping VisualBERTβs Heads
IJCAI 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
NIPS 2021
When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training
EMNLP 2021
Facet-Aware Evaluation for Extractive Summarization
ACL 2020
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
ACL 2020
ConvLab: Multi-Domain End-to-End Dialog System Platform
ACL 2019
FFNet: Video Fast-Forwarding via Reinforcement Learning
CVPR 2018
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
EMNLP 2017
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences
ACL 2017