2 citations · 5 across the 26 of their papers we have counts for
28 papers
AlphaSeek: Trajectory-Level Self-Iterative Factor Mining Framework for Multi-Source Financial Data
Qilu Zhu, Zijun Lu, Jianmin Zhu +3
With the rapid rise of large language models, LLM-driven quantitative factor mining has become an increasingly active research area. However, existing methods still suffer from sub…
MotionCraft: Latent World Modeling with Sparse Attention for Visual Upscaling
Rong Fu, Chunlei Meng, Yangchen Zeng +9
Video super-resolution (VSR) aims to recover high-fidelity high-resolution videos from low-resolution inputs and is central to applications ranging from mobile capture to streaming…
CACR:Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning
Muge Qi, Rong Fu, Pengbin Feng +7
The task of temporal answer grounding in instructional video (TAGV), which aims to locate precise video segments that respond to natural language queries, is increasingly important…
VICR: Visual In-Context Restoration for Real-World Image Super-Resolution
Qichang Zhang, Hailong Wang, Baiang Li +4
Real-world image super-resolution (Real-ISR) requires balancing structural fidelity to degraded observations with realistic detail synthesis. However, existing generative Real-ISR…
NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation
Rong Fu, Yiqing Lyu, Chunlei Meng +9
Automatic generation of radiology reports seeks to reduce clinician workload while improving documentation consistency. Existing methods that adopt encoder-decoder or retrieval-aug…
MultiPress: A Multi-Agent Framework for Interpretable Multimodal News Classification
Tailong Luo, Hao Li, Rong Fu +7
With the growing prevalence of multimodal news content, effective news topic classification demands models capable of jointly understanding and reasoning over heterogeneous data su…
ModalImmune: Immunity Driven Unlearning via Self Destructive Training
Rong Fu, WeiZhi Tang, Ziming Wang +6
Multimodal systems are vulnerable to partial or complete loss of input channels at deployment, which undermines reliability in real-world settings. This paper presents ModalImmune,…
ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow
Jiekai Wu, Rong Fu, Chuangqi Li +9
Remote sensing segmentation in real deployment is inherently continual: new semantic categories emerge, and acquisition conditions shift across seasons, cities, and sensors. Despit…
S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering
Rong Fu, Yemin Wang, Tianxiang Xu +5
We present S-Path-RAG, a semantic-aware shortest-path Retrieval-Augmented Generation framework designed to improve multi-hop question answering over large knowledge graphs. S-Path-…
SwiftGS: Episodic Priors for Immediate Satellite Surface Recovery
Rong Fu, Jiekai Wu, Xiaowen Ma +4
Rapid, large-scale 3D reconstruction from multi-date satellite imagery is vital for environmental monitoring, urban planning, and disaster response, yet remains difficult due to il…
SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry
Rong Fu, Chunlei Meng, Jinshuo Liu +8
Reliable decision-making in complex multi-agent systems requires calibrated predictions and interpretable uncertainty. We introduce SphUnc, a unified framework combining hyperspher…
Multimodal Multi-Agent Empowered Legal Judgment Prediction
Zhaolu Kang, Junhao Gong, Qingxi Chen +7
Legal Judgment Prediction (LJP) aims to predict the outcomes of legal cases based on factual descriptions, serving as a fundamental task to advance the development of legal systems…
TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs
Rong Fu, Yibo Meng, Zeyu Zhang +4
Real-time schedulers must reason about tight deadlines under strict compute budgets. We present TempoNet, a reinforcement learning scheduler that pairs a permutation-invariant Tran…
CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras
Rong Fu, Yibo Meng, Rui Lu +2
City-scale person re-identification across distributed cameras must handle severe appearance changes from viewpoint, occlusion, and domain shift while complying with data protectio…
SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework
Rong Fu, Zijian Zhang, Kun Liu +3
Comparative analysis of adaptive immune repertoires at population scale is hampered by two practical bottlenecks: the near-quadratic cost of pairwise affinity evaluations and datas…
AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation
Rong Fu, Chunlei Meng, Shuo Yin +2
Graph neural networks frequently encounter significant performance degradation when confronted with structural noise or non-homophilous topologies. To address these systemic vulner…
LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
Rong Fu, Zijian Zhang, Jiekai Wu +8
The continuous expansion of digital learning environments has catalyzed the demand for intelligent systems capable of providing personalized educational content. While current exer…
Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection
Rong Fu, Ziming Wang, Shuo Yin +3
Emotional expression underpins natural communication and effective human-computer interaction. We present Emotion Collider (EC-Net), a hyperbolic hypergraph framework for multimoda…
Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis
Rong Fu, Ziming Wang, Chunlei Meng +4
As multimodal systems increasingly process sensitive personal data, the ability to selectively revoke specific data modalities has become a critical requirement for privacy complia…
GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search
Rong Fu, Jia Yee Tan, Chunlei Meng +4
As the burgeoning power requirements of sophisticated neural architectures escalate, the information retrieval community has recognized ecological sustainability as a pivotal prior…
DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles
Rong Fu, Jiekai Wu, Yang Li +3
The emergence of 3D Gaussian Splatting has fundamentally redefined the capabilities of photorealistic neural rendering by enabling high-throughput synthesis of complex environments…
NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering
Rong Fu, Yang Li, Zeyu Zhang +7
Large pretrained language models and neural reasoning systems have advanced many natural language tasks, yet they remain challenged by knowledge-intensive queries that require prec…
Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence
Rong Fu, Xiaowen Ma, Kun Liu +8
Deploying expressive learning models directly on programmable dataplanes promises line-rate, low-latency traffic analysis but remains hindered by strict hardware constraints and th…
NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
Rong Fu, Chunlei Meng, Haoyu Zhao +4
The pursuit of optimal trade-offs in high-dimensional search spaces under stringent computational constraints poses a fundamental challenge for contemporary multi-objective optimiz…