Tao, Dacheng

Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing

He, H., Zhang, J., Zhang, Q., & Tao, D. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsHuman Pose and Action Recognition

Cited by 62

Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts

Wang, J., Huang, S., Wang, X., & Tao, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Human Pose and Action Recognition3D Shape Modeling and Analysis

Cited by 60

Toward Trainability of Quantum Neural Networks

Zhang, K., Hsieh, M.-H., Liu, L., & Tao, D. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 36

ASTS: A Unified Framework for Arbitrary Shape Text Spotting

Liu, J., Chen, Z., Du, B., & Tao, D. (2020) · IEEE Transactions on Image Processing

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 23

Towards Making the Most of ChatGPT for Machine Translation

Peng, K., Ding, L., Zhong, Q., Shen, L., Liu, X., Zhang, M., Ouyang, Y., & Tao, D. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 20

Deepfake Generation and Detection: A Benchmark and Survey

Pei, G., Zhang, J., Hu, M., Zhang, Z., Wang, C., Wu, Y., Zhai, G., Yang, J., & Tao, D. (2024) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 17

A Survey on Self-Evolution of Large Language Models

Tao, Z., Lin, T.-E., Chen, X., Li, H., Wu, Y., Li, Y., Jin, Z., Huang, F., Tao, D., & Zhou, J. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 9

Learning Versatile Convolution Filters for Efficient Visual Recognition

Han, K., Wang, Y., Xu, C., Xu, C., Wu, E., & Tao, D. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 8

Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection

Yang, E., Shen, L., Wang, Z., Liu, S., Guo, G., Wang, X., & Tao, D. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 5

Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Luo, J., Zhang, W., Yuan, Y., Zhao, Y., Yang, J., Gu, Y., Wu, B., Chen, B., Qiao, Z., Long, Q., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 5

Dynamic Parallel Tree Search for Efficient LLM Reasoning

Ding, Y., Jiang, W., Liu, S., Jing, Y., Guo, J., Wang, Y., Zhang, J., Wang, Z., Liu, Z., Du, B., et al. (2025) · arXiv

Natural Language Processing TechniquesAI-based Problem Solving and Planning

Cited by 3

O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

Luo, H., Shen, L., He, H., Wang, Y., Liu, S., Li, W., Tan, N., Cao, X., & Tao, D. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Why Self-Rewarding Works: Theoretical Guarantees for Iterative Alignment of Language Models

Fu, S., Wang, Y., Hu, S., Wang, P., & Tao, D. (2026) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Better, Faster: Harnessing Self-Improvement in Large Reasoning Models

Zhong, Q., Ding, L., Liu, J., Du, B., Rutkowski, L., & Tao, D. (2026) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 0

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents

Wang, Z., Li, Y., Wu, Y., Chen, K., Liu, Z., Wai, F. K., Chen, P.-Y., Thing, V. L. L., Li, B., Tao, D., et al. (2026) · arXiv

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 0

Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing

Wu, Y., Ding, L., Shen, L., & Tao, D. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

VeriWeb: Verifiable Long-Chain Web Benchmark for Agentic Information-Seeking

Liu, S., Liu, M., Zhou, H., Cui, Z., Zhou, Y., Zhou, Y., Gao, J., Zhou, H., Yang, Y., Fan, W., et al. (2025) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 0