Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Bionic Body Wave Control for an Eel-like Robot Based on Segmented Soft Actuator Array
Ronghao Dang, Haisong Gong, Yuxin Wang, Tianyi Huang, Zhuofan Shi, Xinwen Zhang, Yunfeng Wu, Yi Sun, Peng Qi
CCC, July, 2021
Develop an entire eel-like fish with a fully soft flexible body, which is composed of four fiber-reinforced, bidirectionally bending, fluidic elastomer actuators (FEAs) as its tail.
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu,Liang Wang
AAAI2024, March, 2024
This paper presents HeterFC, where word-level heterogenous is build for graph reasoning. An attention-based method is utilized to integrate information. Multitask loss function is proposed to account for potential inaccuracies in evidence retrieval.
Recommended citation: Gong, H., Xu, W., Wu, S., Liu, Q., & Wang, L. (2024). Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. Proceedings of the AAAI Conference on Artificial Intelligence, 38(1), 100-108.
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Text-Guided Molecule Generation with Diffusion Language Model
Haisong Gong, Qiang Liu, Shu Wu, Liang Wang
AAAI2024, March, 2024
This paper presents TGM-DLM, the first diffusion language model designed for SMILE-based molecule generation, replacing traditional auto-regressive models. It highlights improved data efficiency, achieving superior results with a reduced amount of training data.
Recommended citation: Gong, H., Liu, Q., Wu, S., & Wang, L. (2024). Text-Guided Molecule Generation with Diffusion Language Model. Proceedings of the AAAI Conference on Artificial Intelligence, 38(1), 109-117.
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MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction
Lianwei Yang, Zhikai Li, Junrui Xiao, Haisong Gong, Qingyi Gu
ICIP2024, June, 2024
This paper presents MGRA (Mixed Granularity Reconstruction Quantization) to improve post-training quantization for vision transformer.
DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers
Lianwei Yang, Haisong Gong, Qingyi Gu
arXiv, July, 2024
This paper introduces Distribution-Friendly and Outlier-Aware Post-training Quantization method for Vision Transformers, named DopQ-ViT. It includes Tan Quatizer (TanQ) and Median as the Optimal Scaling Factor (MOSF).
Navigating the Noisy Crowd: Finding Key Information for Claim Verification
Haisong Gong, Huanhuan Ma, Qiang Liu, Shu Wu, Liang Wang
arXiv, July, 2024
This paper introduces EACon where evidence abstraction and claim deconstruction are proposed to improve LLM’s performance in claim verification.
Leveraging Implicit Sentiments: Enhancing Reliability and Validity in Psychological Trait Evaluation of LLMs
Huanhuan Ma, Haisong Gong, Xiaoyuan Yi, Xing Xie, Dongkuan Xu
submitting, September, 2024
We propose the Core Sentiment Inventory (CSI), a novel tool inspired by the Implicit Association Test, to evaluate sentiment tendencies in Large Language Models.
Breaking Event Rumor Detection via Stance-Separated Multi-Agent Debate
Mingqing Zhang*, Haisong Gong*, Qiang Liu, Shu Wu, Liang Wang
arXiv, December, 2024
This paper introduces S2MAD, which investigate the use of multi-agent debate for rumor detection in social media within the context of breaking event scenarios.
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.