64 citations · 74 across the 20 of their papers we have counts for
21 papers
DeAR: Decentralized Agentic Reasoning via Capability Grounding and Collaborative Thought Navigation
Xing Wei, Changmeng Zheng, XiaoYong Wei +2
Existing agentic reasoning systems typically rely on centralized protocols. This design introduces routing bottlenecks and static role allocations that often fail when handling com…
Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning
Qi Peng, Jiatong Li, Sirui Huang +10
Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress…
Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning
Dayong Liang, Kaisong Gong, Yi Cai +2
Existing multi-agent debate frameworks suffer from two critical limitations: they rely on static architectures where agent roles and coordination patterns are fixed at design time,…
Progressive Approximation in Deep Residual Networks: Theory and Validation
Wei Wang, Xiao-Yong Wei, Qing Li
The Universal Approximation Theorem (UAT) guarantees universal function approximation but does not explain how residual models distribute approximation across layers. We reframe re…
Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design
Wengyu Zhang, Xiao-Yong Wei, Qing Li
Text-guided molecular design is a key capability for AI-driven drug discovery, yet it remains challenging to map sequential natural-language instructions with non-linear molecular…
Self-Paced Learning for Images of Antinuclear Antibodies
Yiyang Jiang, Guangwu Qian, Jiaxin Wu +4
Antinuclear antibody (ANA) testing is a crucial method for diagnosing autoimmune disorders, including lupus, Sjögren's syndrome, and scleroderma. Despite its importance, manual ANA…
Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning
Dayong Liang, Changmeng Zheng, Zhiyuan Wen +3
Traditional scene graphs primarily focus on spatial relationships, limiting vision-language models' (VLMs) ability to reason about complex interactions in visual scenes. This paper…
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
Liangbo Ning, Ziran Liang, Zhuohang Jiang +8
With the advancement of web techniques, they have significantly revolutionized various aspects of people's lives. Despite the importance of the web, many tasks performed on it are…
Cardiac Evidence Backtracking for Eating Behavior Monitoring using Collocative Electrocardiogram Imagining
Xu-Lu Zhang, Zhen-Qun Yang, Dong-Mei Jiang +4
Eating monitoring has remained an open challenge in medical research for years due to the lack of non-invasive sensors for continuous monitoring and the reliable methods for automa…
Mean of Means: Human Localization with Calibration-free and Unconstrained Camera Settings (extended version)
Tianyi Zhang, Wengyu Zhang, Xulu Zhang +4
Accurate human localization is crucial for various applications, especially in the Metaverse era. Existing high precision solutions rely on expensive, tag-dependent hardware, while…
PolySmart @ TRECVid 2024 Video Captioning (VTT)
Jiaxin Wu, Wengyu Zhang, Xiao-Yong Wei +1
In this paper, we present our methods and results for the Video-To-Text (VTT) task at TRECVid 2024, exploring the capabilities of Vision-Language Models (VLMs) like LLaVA and LLaVA…
PolySmart @ TRECVid 2024 Medical Video Question Answering
Jiaxin Wu, Yiyang Jiang, Xiao-Yong Wei +1
Video Corpus Visual Answer Localization (VCVAL) includes question-related video retrieval and visual answer localization in the videos. Specifically, we use text-to-text retrieval…
PolySmart and VIREO @ TRECVid 2024 Ad-hoc Video Search
Jiaxin Wu, Chong-Wah Ngo, Xiao-Yong Wei +1
This year, we explore generation-augmented retrieval for the TRECVid AVS task. Specifically, the understanding of textual query is enhanced by three generations, including Text2Tex…
Knowledge Pyramid Construction for Multi-Level Retrieval-Augmented Generation
Rubing Chen, Xulu Zhang, Jiaxin Wu +3
This paper addresses the need for improved precision in existing knowledge-enhanced question-answering frameworks, specifically Retrieval-Augmented Generation (RAG) methods that pr…
Mean of Means: A 10-dollar Solution for Human Localization with Calibration-free and Unconstrained Camera Settings
Tianyi Zhang, Wengyu Zhang, Xulu Zhang +4
Accurate human localization is crucial for various applications, especially in the Metaverse era. Existing high precision solutions rely on expensive, tag-dependent hardware, while…
A Survey on Personalized Content Synthesis with Diffusion Models
Xulu Zhang, Xiaoyong Wei, Wentao Hu +6
Recent advancements in diffusion models have significantly impacted content creation, leading to the emergence of Personalized Content Synthesis (PCS). By utilizing a small set of…
Generative Active Learning for Image Synthesis Personalization
Xulu Zhang, Wengyu Zhang, Xiao-Yong Wei +4
This paper presents a pilot study that explores the application of active learning, traditionally studied in the context of discriminative models, to generative models. We specific…
A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning
Changmeng Zheng, Dayong Liang, Wengyu Zhang +3
This paper presents a pilot study aimed at introducing multi-agent debate into multimodal reasoning. The study addresses two key challenges: the trivialization of opinions resultin…
Compositional Inversion for Stable Diffusion Models
Xulu Zhang, Xiao-Yong Wei, Jinlin Wu +4
Inversion methods, such as Textual Inversion, generate personalized images by incorporating concepts of interest provided by user images. However, existing methods often suffer fro…
Multi-agent Attacks for Black-box Social Recommendations
Shijie Wang, Wenqi Fan, Xiao-yong Wei +3
The rise of online social networks has facilitated the evolution of social recommender systems, which incorporate social relations to enhance users' decision-making process. With t…
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Jiatong Li, Yunqing Liu, Wenqi Fan +4
Molecule discovery plays a crucial role in various scientific fields, advancing the design of tailored materials and drugs. However, most of the existing methods heavily rely on do…