Tongliang Liu

University of Science and Technology of China — China

Computer Science · Physical Sciences

61h-index12.8kcitations502works1.42yr avg
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Research Topics

Machine Learning and Data Classification(120), Domain Adaptation and Few-Shot Learning(94), Adversarial Robustness in Machine Learning(61), Anomaly Detection Techniques and Applications(57), Machine Learning and Algorithms(54)

Publications502 total

Exploring the Polysemy of Relations in Path Reasoning for Inductive Knowledge Graph Completion
Lecture notes in computer science·2026
Slack Federated Adversarial Training
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025Open Access
MedDCR: Learning to Design Agentic Workflows for Medical Coding
arXiv (Cornell University)·2025Open Access
DINO-Detect: A Simple yet Effective Framework for Blur-Robust AI-Generated Image Detection
arXiv (Cornell University)·2025Open Access
NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes Without References
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025
Identifying trustworthiness challenges in deep learning models for continental-scale water quality prediction
Nexus·2025Open Access
OpenInsGaussian: Open-vocabulary Instance Gaussian Segmentation with Context-aware Cross-view Fusion
arXiv (Cornell University)·2025Open Access
Trustworthy Machine Learning under Imperfect Data
2025
AI-Accelerated Discovery of Electrocatalyst Materials
ACS Materials Au·2025· 2 citedOpen Access
Release the Potential of Memory Buffer in Continual Learning: A Dynamic System Perspective
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
arXiv (Cornell University)·2025Open Access
Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs
arXiv (Cornell University)·2025Open Access
From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process Supervision
arXiv (Cornell University)·2025Open Access
Revealing Multimodal Causality with Large Language Models
arXiv (Cornell University)·2025Open Access
Toward Robust Non-Transferable Learning: A Survey and Benchmark
2025· 1 cited
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
2025
Introduction
2025
Trustworthy Machine Learning with Noisy Labels
2025
Trustworthy Machine Learning with Adversarial Examples
2025
Advanced Topics in Trustworthy Machine Learning
2025
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Frequent Co-authors

Dacheng Tao(36), Mingming Gong(11), Cheng Deng(6), Erkun Yang(5), Xiaobo Xia(4), Masashi Sugiyama(4), Bo Han(4), Min-Hsiu Hsieh(4), Wei Liu(3), Yong Luo(3), Gang Niu(3), Ya Li(2), Xinmei Tian(2), Kun Zhang(2), Xiyu Yu(2), Fengxiang He(2), Jie Gui(2), Zhenan Sun(2), Tieniu Tan(2), Jiankang Deng(2)