Xinghao Chen

Affiliations:
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong
  • Eastern Institute of Technology, Digital Twin Institute, Ningbo, China


According to our database1, Xinghao Chen authored at least 12 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AutoDataset: A Lightweight System for Continuous Dataset Discovery and Search.
CoRR, March, 2026

UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking.
CoRR, February, 2026

2025
Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning.
CoRR, May, 2025

Integrating Chain-of-Thought for Multimodal Alignment: A Study on 3D Vision-Language Learning.
CoRR, March, 2025

Breaking the Pre-Planning Barrier: Real-Time Adaptive Coordination of Mission and Charging UAVs Using Graph Reinforcement Learning.
CoRR, January, 2025

Smart building evacuation by tracking multi-camera network and explainable Re-identification model.
Eng. Appl. Artif. Intell., 2025

Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MultiConIR: Towards Multi-Condition Information Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Multimodal Language Models See Better When They Look Shallower.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Instruction-Tuned LLMs Succeed in Document-Level MT Without Fine-Tuning - But BLEU Turns a Blind Eye.
CoRR, 2024

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024


  Loading...