Liu Yu

19 papers A* 8A 3B 1Misc 1Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs.
AAAI
Liu Yu, Zhonghao Chen, Ping Kuang, Zhikun Feng, Fan Zhou, Lan Wang, Gillian Dobbie
2026 J jnl
TIPS: Two-level prompt selection for more stability-plasticity balance in continual learning.
Pattern Recognit.
Zhikun Feng, Liang Peng, Kang Dang, Mian Zhou, Ping Kuang, Mingyu Wu, Liu Yu, Jionglong Su
2025 J jnl
Amplifying commonsense knowledge via bi-directional relation integrated graph-based contrastive pre-training from large language models.
Inf. Process. Manag.
Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou
2025 A* conf
Bimodal Debiasing for Text-to-Image Diffusion: Adaptive Guidance in Textual and Visual Spaces.
ACM Multimedia
Liu Yu, Jiajun Sun, Ping Kuang, Rui Zhou, Fan Zhou, Zhikun Feng
2025 Misc conf
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences.
ICASSP
Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou
2025 J jnl
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences.
CoRR
Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou
2025 J jnl
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs.
CoRR
Liu Yu, Zhonghao Chen, Ping Kuang, Zhikun Feng, Fan Zhou, Lan Wang, Gillian Dobbie
2025 A conf
Decoupling Overlapped Feature Spaces: When Continual Learning Meets Fine-Grain Classification.
ICME
Zhikun Feng, Mingyu Wu, Ping Kuang, Kang Dang, Mian Zhou, Liu Yu
2025 A conf
Delight-UPS: Uncalibrated Photometric Stereo via Diffusion Model-Based Relighting.
ICME
Zhenyu Qiao, Jiajun Sun, MingYun He, Liu Yu, Rui Zhou, Ping Kuang
2025 A conf
Knowledge Graphs Acquisition via Forward-Reverse Relation Enhanced Contrastive Pretraining from Large-scale Models.
ICME
Liu Yu, Fenghui Tian, Ping Kuang, Zhikun Feng, Fan Zhou
2024 A* conf
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract).
AAAI
Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou
2024 A* conf
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract).
AAAI
Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou
2023 — conf
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning.
ACL (1)
Fan Zhou, Yuzhou Mao, Liu Yu, Yi Yang, Ting Zhong
2023 A* conf
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract).
AAAI
Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong
2023 A* conf
Mixup-based Unified Framework to Overcome Gender Bias Resurgence.
SIGIR
Liu Yu, Yuzhou Mao, Jin Wu, Fan Zhou
2023 B conf
Self-Supervised Rumor Detection with Augmented Variational Graphs.
GLOBECOM
Leyuan Liu, Junyi Chen, Liu Yu, Fan Zhou
2022 A* conf
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract).
AAAI
Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou
2022 J jnl
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction.
Knowl. Based Syst.
Liu Yu, Xovee Xu, Goce Trajcevski, Fan Zhou
2021 A* conf
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction.
SIGIR
Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski