Zhuo Li
28 papers · 2014–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Renaissance Researcher
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Venues
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Research topics
Machine Learning
(19)
Artificial Intelligence
(13)
Deep Learning
(13)
Core AI
(13)
Learning Types Β· Machine Learning
(11)
Core Methods
(8)
Application Areas
(7)
Learning Types Β· Deep Learning
(7)
Optimization & Theory
(6)
Architectures
(4)
Models
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Speech & Audio
(3)
Optimization
(3)
Keywords
large language model
(8)
optimal transport
(4)
contrastive learning
(3)
reinforcement learning
(3)
transfer learning
(2)
motion generation
(2)
node classification
(2)
speaker embedding
(2)
loss function
(2)
domain adaptation
(2)
image retrieval
(1)
state abstraction
(1)
representation learning
(1)
adversarial robustness
(1)
multi-task learning
(1)
privacy attack
(1)
preference learning
(1)
metric learning
(1)
knowledge transfer
(1)
metropolis-hastings sampling
(1)
Papers
AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment
AAAI 2026
CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness
AAAI 2026
MARCH: Multi-Agent Reinforced Check for Hallucination
ACL 2026
Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning
ACL 2026
Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment
ACL 2026
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
EMNLP 2025
Atoxia: Red-teaming Large Language Models with Target Toxic Answers
NAACL 2025
Critical Node-aware Augmentation for Hypergraph Contrastive Learning
IJCAI 2025
Morph: A Motion-free Physics Optimization Framework for Human Motion Generation
ICCV 2025
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
ACL 2025
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
ICML 2025
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
ICML 2024
Improving Copy-Synthesis Anti-Spoofing Training Method with Rhythm and Speaker Perturbation
Interspeech 2024
M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
NeurIPS 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
ACL 2024
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques
NeurIPS 2024
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
AAAI 2023
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
NeurIPS 2023
Neural Episodic Control with State Abstraction
ICLR 2023
Self-Edit: Fault-Aware Code Editor for Code Generation
ACL 2023
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
ACL 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
NeurIPS 2022
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough
AAAI 2022
SASV Based on Pre-trained ASV System and Integrated Scoring Module
Interspeech 2022
The HCCL System for the NIST SRE21
Interspeech 2022
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models
AAAI 2020
Identifying Important Features for Graph Retrieval
COLING 2014