works on

From the 1 of 27 linked papers with an AI index.

activity
20242026
collaborators

27 papers

cs.CV2026

Modularized Dynamic-Granularity Video LLM for Multi-Event Long Video Understanding

Wei Feng, Xin Wang, Yu-Wei Zhan +2

Video Large Language Models (Video LLMs) have made significant advancements in various video understanding tasks. However, long-video scenarios remain challenging due to the tensio…

cs.CV2026

Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models

Xin Wang, Wenxuan Liu, Tongtong Feng +1

The paper introduces autonomous video generation, a framework that creates future video frames conditioned on counterfactual interventions and embodiment constraints, enabling self…

cs.LG2026

OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction

Xin Wang, Linxin Xiao, Yang Yao +1

Drug synergy prediction (DSP) aims to identify efficacious drug combinations under various cellular contexts with different targets. However, the continual emergence of novel compo…

cs.RO2026

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform

Yu Shang, Yinzhou Tang, Yiding Ma +22

World models have emerged as a central paradigm for embodied intelligence, enabling agents to predict action-conditioned future and reason about environmental dynamics. However, ex…

cs.IR2026

Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization

Bin Huang, Xin Wang, Junwei Pan +6

Generative Recommendation (GenRec) models reformulate recommendation as a sequence generation task, representing items as discrete Semantic IDs used symmetrically as both inputs an…

cs.LG2026

A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning

Haibo Chen, Xin Wang, Jiaheng Chao +2

Leveraging Graph Neural Networks (GNNs) as graph encoders and aligning the resulting representations with Large Language Models (LLMs) through alignment instruction tuning has beco…