Qianli Xing

Edu-Eval: A Large-Scale Multimodal Benchmark for MLLMs in Authentic Educational Scenarios

Zhiyi Duan, Jiangshan Guan, Qianli Xing

The modern classroom is an inherently multimodal environment, rich with the teacher's speech, student expressions, and interactive instructional resources. Effective AI assistants should therefore perceive this complex pedagogical process, not just answer text-based questions. However, existing evaluation methods are fundamentally misaligned. Current …

cn (code pays fourni par la source)

From Bounding Boxes to Visual Reasoning: An On-Policy Data Annotation Tool for Vision-Language Models

Like Zhang, Runliang Niu, Shiqi Wang, Xiyu Hu et autres

Vision-language models (VLMs) are rapidly advancing toward sophisticated grounded structured visual reasoning. Training models for such advanced capabilities demands a new genre of data that seamlessly unifies spatial coordinates, open-vocabulary descriptions, structured attributes, and topological relationships into a singular representation. However, existing …

From Bounding Boxes to Visual Reasoning: An On-Policy Data Annotation Tool for Vision-Language Models

Like Zhang, Runliang Niu, S Q Wang, Xiyu Hu et autres

Vision-language models (VLMs) are rapidly advancing toward sophisticated grounded structured visual reasoning. Training models for such advanced capabilities demands a new genre of data that seamlessly unifies spatial coordinates, open-vocabulary descriptions, structured attributes, and topological relationships into a singular representation. However, existing …

es, cn, gr (code pays fourni par la source)

HC-GLAD: Dual hyperbolic contrastive learning for unsupervised graph-level anomaly detection

Yali Fu, Jiahong Liu, Qianli Xing, Yanyan Wang et autres

cn, hk (code pays fourni par la source)

Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference

Xuanning Hu, Anchen Li, Qianli Xing, Jinglong Ji et autres

Publisher Copyright: © 2026 Owner/Author.

cn, jp (code pays fourni par la source)

Learning Optimal Policies With Local Observations for Cooperative Multiagent Reinforcement Learning

He Kong, Qianli Xing, Qi Wang, Hechang Chen et autres

The cooperative multiagent reinforcement learning (MARL) has been widely used in many practical applications. Despite its success, a fundamental issue arises in MARL that agents face the dilemma of whether to select the best action to maximize rewards or to acquire more …

cn, hk (code pays fourni par la source)

Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision–Language Models

Yongguang Li, Jindong Li, Qi Wang, Qianli Xing et autres

Vision-language models (VLMs) have gained widespread attention for their strong zero-shot capabilities across numerous downstream tasks. However, these models assume that each test image’s class label is drawn from a predefined label set and lack a reliable mechanism to reject samples from …

cn, us (code pays fourni par la source)

Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference

Xuanning Hu, Anchen Li, Qianli Xing, Jinglong Ji et autres

Large Language Models (LLMs) possess strong representation and reasoning capabilities, but their application to structure-based drug design (SBDD) is limited by insufficient understanding of protein structures and unpredictable molecular generation. To address these challenges, we propose Exploration-Augmented Latent Inference for LLMs (ELILLM), …

Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference

Xuanning Hu, Anchen Li, Qianli Xing, Jinglong Ji et autres

Large Language Models (LLMs) possess strong representation and reasoning capabilities, but their application to structure-based drug design (SBDD) is limited by insufficient understanding of protein structures and unpredictable molecular generation. To address these challenges, we propose Exploration-Augmented Latent Inference for LLMs (ELILLM), …

GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model

Yali Fu, Jindong Li, Yanyan Wang, Qianli Xing

cn (code pays fourni par la source)

Reinforcement learning with formation energy feedback for material diffusion models

Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang

cn (code pays fourni par la source)

ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction

Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang

Property prediction is a fundamental task in crystal material research. To model atoms and structures, structures represented as graphs are widely used and graph learning-based methods have achieved significant progress. Bond angles and bond distances are two key structural information that greatly …

cn (code pays fourni par la source)