Ziyi Liu
28 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Cross-Pollinator (12) π§ Keyword Pioneer π Conference Polyglot (10) π Renaissance Researcher (9)
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Academic Marathon
(6)
π§
Keyword Pioneer
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Keyword Champion
(2)
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(7)
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Prolific Year
(5)
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Conference Pioneer
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Century Club
(22)
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The Questioner
ποΈ
Keyword Collector
(128)
Conferences
AAAI (9)
EMNLP (5)
ACL (4)
ICCV (3)
CVPR (2)
COLING (1)
CORL (1)
ICML (1)
MICCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
temporal action localization
(5)
reinforcement learning
(4)
weakly supervised learning
(4)
large language model
(4)
video-level supervision
(3)
action recognition
(3)
video understanding
(3)
action proposal
(2)
representation learning
(2)
model interpretability
(2)
out-of-distribution generalization
(2)
multimodal large language model
(2)
multi-agent system
(2)
action-context separation
(2)
question answering
(2)
contrastive learning
(2)
text classification
(2)
medical imaging
(2)
sequence labeling
(1)
game theory
(1)
Papers
anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding
AAAI 2026
LongVideoAgent: Multi-Agent Reasoning with Long Videos
ACL 2026
ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL
ACL 2026
Time Shuffle: A Transferability-Booster for Multiple Audio Adversarial Tasks
AAAI 2026
TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models
AAAI 2026
Active Multi-source Domain Adaptation for Multimodal Fake News Detection
AAAI 2026
AI Sees Your LocationβBut With A Bias Toward The Wealthy World
EMNLP 2025
Conditional Visual Autoregressive Modeling for Pathological Image Restoration
ICCV 2025
Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
CVPR 2025
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
EMNLP 2024
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
NIPS 2024
Self-contradictory reasoning evaluation and detection
EMNLP 2024
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
ICML 2024
Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features
MICCAI 2024
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales
ACL 2023
Clustered Federated Learning for Heterogeneous Data (Student Abstract)
AAAI 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
ACL 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
CORL 2023
SOAR: Scene-debiasing Open-set Action Recognition
ICCV 2023
ER-Test: Evaluating Explanation Regularization Methods for Language Models
EMNLP 2022
Learning Disentangled Classification and Localization Representations for Temporal Action Localization
AAAI 2022
Multi-Marginal Contrastive Learning for Multi-Label Subcellular Protein Localization
CVPR 2022
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications
COLING 2022
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
AAAI 2021
RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction
AAAI 2021
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
AAAI 2021
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only
EMNLP 2020
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks
ICCV 2019