Zhuo Li
28 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (11) π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(11)
πΊοΈ
Taxonomy Completionist
(63)
π
Grand Slam
π
Century Club
(23)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(111)
β‘
Prolific Year
(5)
Conferences
ACL (7)
AAAI (5)
NIPS (4)
INTERSPEECH (3)
EMNLP (2)
ICML (2)
COLING (1)
ICCV (1)
ICLR (1)
IJCAI (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(7)
optimal transport
(4)
reinforcement learning
(3)
contrastive learning
(3)
domain adaptation
(2)
loss function
(2)
speaker embedding
(2)
node classification
(2)
transfer learning
(2)
metric learning
(1)
hypergraph learning
(1)
image retrieval
(1)
metropolis-hastings sampling
(1)
multi-agent reinforcement learning
(1)
voice conversion
(1)
in-context learning
(1)
data augmentation
(1)
adversarial robustness
(1)
knowledge transfer
(1)
preference learning
(1)
Papers
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
AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment
AAAI 2026
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
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
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
ICML 2025
Critical Node-aware Augmentation for Hypergraph Contrastive Learning
IJCAI 2025
Atoxia: Red-teaming Large Language Models with Target Toxic Answers
NAACL 2025
Improving Copy-Synthesis Anti-Spoofing Training Method with Rhythm and Speaker Perturbation
INTERSPEECH 2024
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
ICML 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
ACL 2024
M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
NIPS 2024
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques
NIPS 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
NIPS 2023
Self-Edit: Fault-Aware Code Editor for Code Generation
ACL 2023
Neural Episodic Control with State Abstraction
ICLR 2023
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough
AAAI 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
NIPS 2022
The HCCL System for the NIST SRE21
INTERSPEECH 2022
SASV Based on Pre-trained ASV System and Integrated Scoring Module
INTERSPEECH 2022
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
ACL 2022
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models
AAAI 2020
Identifying Important Features for Graph Retrieval
COLING 2014