Zekun Wang

Orcid: 0000-0003-0151-5367

Affiliations:
  • Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, Harbin, China


According to our database1, Zekun Wang authored at least 17 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Exploring & exploiting high-order graph structure for sparse knowledge graph completion.
Frontiers Comput. Sci., February, 2025

Improved Diffusion-based Generative Model with Better Adversarial Robustness.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
CoRR, 2024

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
TAGNet: a tiny answer-guided network for conversational question generation.
Int. J. Mach. Learn. Cybern., May, 2023

Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion.
CoRR, 2023

SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models.
CoRR, 2023

GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Distilled Dual-Encoder Model for Vision-Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure.
Proceedings of the 28th International Conference on Computational Linguistics, 2020


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