Tianyang Han

Orcid: 0000-0001-5541-0806

According to our database1, Tianyang Han authored at least 24 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Replacement Learning: Training Neural Networks with Fewer Parameters.
CoRR, May, 2026

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training.
CoRR, May, 2026

Correct Is Not Enough: Training Reasoning Planners with Executor-Grounded Rewards.
CoRR, May, 2026

2025
Beyond Words and Pixels: A Benchmark for Implicit World Knowledge Reasoning in Generative Models.
CoRR, November, 2025

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions.
CoRR, September, 2025

MAN++: Scaling Momentum Auxiliary Network for Supervised Local Learning in Vision Tasks.
CoRR, July, 2025

PositionIC: Unified Position and Identity Consistency for Image Customization.
CoRR, July, 2025

Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks.
CoRR, June, 2025

An adaptive traffic signal control scheme with Proximal Policy Optimization based on deep reinforcement learning for a single intersection.
Eng. Appl. Artif. Intell., 2025

Personalized Visual Instruction Tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
A Coordination Graph Based Framework for Network Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., October, 2024

CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration.
CoRR, 2024

The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs.
CoRR, 2024

MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance.
CoRR, 2024

Intersection Dynamics-Aware Continuous Learning in Adaptive Traffic Signal Control Featuring Fast Startup and Adaptation.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Instinctive Bias: Spurious Images lead to Illusion in MLLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
A Dual-Flow Attentive Network With Feature Crossing for Chained Trip Purpose Inference.
IEEE Trans. Intell. Transp. Syst., January, 2023

2022
DEMOC: a deep embedded multi-omics learning approach for clustering single-cell CITE-seq data.
Briefings Bioinform., 2022

QueueLearner: A Knowledge-Combined Reinforcement Learning to Understand Queuing Evolution in Isolated Traffic Signal Control.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

WaveLearner: A Knowledge-Combined Reinforcement Learning to Understand Coordinated Traffic Signal Control along Urban Arteries.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

A plug-in memory network for trip purpose classification.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2019
Large-scale Traffic Data Imputation Using Matrix Completion on Graphs.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


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