4 citations · 9 across the 11 of their papers we have counts for
12 papers
ReGRA: Residual-Gradient Adaptation for Complementary Low-Rank Fine-Tuning
Fanyao Li, Yuxi Liu, Xiaohao Liu +3
Low-rank adaptation (LoRA) enables parameter-efficient fine-tuning by learning low-rank weight updates. Increasing rank expands adaptation capacity, but does not guarantee that all…
Scattered Hypothesis Generation for Open-Ended Event Forecasting
He Chang, Zhulin Tao, Lifang Yang +2
Despite the importance of open-ended event forecasting for risk management, current LLM-based methods predominantly target only the most probable outcomes, neglecting the intrinsic…
AUV-Fusion: Cross-Modal Adversarial Fusion of User Interactions and Visual Perturbations Against VARS
Hai Ling, Tianchi Wang, Xiaohao Liu +3
Modern Visual-Aware Recommender Systems (VARS) exploit the integration of user interaction data and visual features to deliver personalized recommendations with high precision. How…
ChronoTailor: Harnessing Attention Guidance for Fine-Grained Video Virtual Try-On
Jinjuan Wang, Wenzhang Sun, Ming Li +7
Video virtual try-on aims to seamlessly replace the clothing of a person in a source video with a target garment. Despite significant progress in this field, existing approaches st…
Fine-tuning Multimodal Large Language Models for Product Bundling
Xiaohao Liu, Jie Wu, Zhulin Tao +3
Recent advances in product bundling have leveraged multimodal information through sophisticated encoders, but remain constrained by limited semantic understanding and a narrow scop…
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting
He Chang, Chenchen Ye, Zhulin Tao +5
Recently, Large Language Models (LLMs) have demonstrated great potential in various data mining tasks, such as knowledge question answering, mathematical reasoning, and commonsense…
ToDA: Target-oriented Diffusion Attacker against Recommendation System
Xiaohao Liu, Zhulin Tao, Ting Jiang +4
Recommendation systems (RS) have become indispensable tools for web services to address information overload, thus enhancing user experiences and bolstering platforms' revenues. Ho…
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction
Yunshan Ma, Xiaohao Liu, Yinwei Wei +3
Automatic bundle construction is a crucial prerequisite step in various bundle-aware online services. Previous approaches are mostly designed to model the bundling strategy of exis…
INO at Factify 2: Structure Coherence based Multi-Modal Fact Verification
Yinuo Zhang, Zhulin Tao, Xi Wang +1
This paper describes our approach to the multi-modal fact verification (FACTIFY) challenge at AAAI2023. In recent years, with the widespread use of social media, fake news can spre…
BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization
Yixin Yang, Zhongzheng Peng, Xiaoyu Du +3
How to effectively explore the colors of reference exemplars and propagate them to colorize each frame is vital for exemplar-based video colorization. In this paper, we present an…
UA-FedRec: Untargeted Attack on Federated News Recommendation
Jingwei Yi, Fangzhao Wu, Bin Zhu +4
News recommendation is critical for personalized news distribution. Federated news recommendation enables collaborative model learning from many clients without sharing their raw d…
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
Xiaolong Wei, LiFang Yang, Xianglin Huang +4
At present, attention mechanism has been widely applied to the fields of deep learning models. Structural models that based on attention mechanism can not only record the relations…