Yong Liu

Renmin University of China, China

32 papers at tracked venues · 29 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-6739-621X ↗Google Scholar ↗Homepage ↗

Venues

AAAI ×6 NeurIPS ×6 ICLR ×5 ICML ×5 ACL ×4 IJCAI ×2 SIGKDD ×2 EMNLP ×1 SIGIR ×1

Frequent coauthors

Xiaolin Hu

×5

Shaojie Li

×5

Yulan Hu

×4

Weiping Wang

×4

Bowei Zhu

×4

Huayi Tang

×4

Dongrui Liu

×3

Jing Shao

×3

Jingyu Liu

×3

Wei Yao

×3

Sheng Ouyang

×3

Pengwei Tang

×2

Papers

Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge
AAAI 2026 ·
Pengwei Tang
,
Xiaolin Hu
, Yong Liu,
Lizhong Ding
,
Dongjie Zhang
,
Xing Wu
,
Debing Zhang
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
ICLR 2025 ·
Pengwei Tang
,
Xiaolin Hu
, Yong Liu
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
AAAI 2025 ·
Xiao Zhang
,
Sunhao Dai
,
Jun Xu
, Yong Liu,
Zhenhua Dong
Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
NeurIPS 2025 ·
Qijiong Liu
,
Jieming Zhu
,
Lu Fan
,
Kun Wang
,
Hengchang Hu
,
Wei Guo
, Yong Liu,
Xiao-Ming Wu
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
NeurIPS 2025 ·
Chen Qian
,
Dongrui Liu
,
Haochen Wen
,
Zhen Bai
, Yong Liu,
Jing Shao
Do not Abstain! Identify and Solve the Uncertainty
ACL 2025 ·
Jingyu Liu
,
JingquanPeng JingquanPeng
,
Xiaopeng Wu
,
Xubin Li
,
Tiezheng Ge
,
Bo Zheng
, Yong Liu
REEF: Representation Encoding Fingerprints for Large Language Models
ICLR 2025 ·
Jie Zhang
,
Dongrui Liu
,
Chen Qian
,
Linfeng Zhang
, Yong Liu,
Yu Qiao
,
Jing Shao
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
ICML 2025 ·
Zeyu Gan
,
Yun Liao
, Yong Liu
Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL
ACL 2025 ·
Wei Yao
,
Wenkai Yang
,
Ziqiao Wang
,
Yankai Lin
, Yong Liu
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin
EMNLP 2025 ·
Hao Yi
,
Qingyang Li
,
Yulan Hu
,
Fuzheng Zhang
,
Di Zhang
, Yong Liu
SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
NeurIPS 2025 ·
Ruyue Liu
,
Rong Yin
,
Xiangzhen Bo
,
Xiaoshuai Hao
, Yong Liu,
Jinwen Zhong
,
Can Ma
,
Weiping Wang
Stability and Sharper Risk Bounds with Convergence Rate Õ(1/n2)
NeurIPS 2025 ·
Bowei Zhu
,
Shaojie Li
,
Mingyang Yi
, Yong Liu
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
ICLR 2025 ·
Wenkai Yang
,
Shiqi Shen
,
Guangyao Shen
,
Wei Yao
, Yong Liu,
Gong Zhi
,
Yankai Lin
,
Ji-Rong Wen
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
ACL 2025 ·
Chen Qian
,
Dongrui Liu
,
Jie Zhang
, Yong Liu,
Jing Shao
Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization
ICLR 2025 ·
Zixuan Gong
,
Xiaolin Hu
,
Huayi Tang
, Yong Liu
Towards Improved Risk Bounds for Transductive Learning
IJCAI 2025 ·
Bowei Zhu
,
Shaojie Li
, Yong Liu
Towards Reward Fairness in RLHF: From a Resource Allocation Perspective
ACL 2025 ·
Sheng Ouyang
,
Yulan Hu
,
Ge Chen
,
Qingyang Li
,
Fuzheng Zhang
, Yong Liu
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
ICLR 2025 ·
Zeyu Gan
, Yong Liu
Understanding Model Ensemble in Transferable Adversarial Attack
ICML 2025 ·
Wei Yao
,
Zeliang Zhang
,
Huayi Tang
, Yong Liu
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
AAAI 2024 ·
Ruyue Liu
,
Rong Yin
, Yong Liu,
Weiping Wang
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
ICML 2024 ·
Shaojie Li
,
Bowei Zhu
, Yong Liu
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
ICML 2024 ·
Shaojie Li
, Yong Liu
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
NeurIPS 2024 ·
Xinhao Yao
,
Xiaolin Hu
,
Shenzhi Yang
, Yong Liu
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
AAAI 2024 ·
Jian Li
, Yong Liu,
Weiping Wang
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
AAAI 2024 ·
Jian Li
, Yong Liu,
Weiping Wang
IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders
SIGIR 2024 ·
Ge Chen
,
Yulan Hu
,
Sheng Ouyang
,
Zhirui Yang
, Yong Liu,
Cuicui Luo
Neural Retrievers are Biased Towards LLM-Generated Content
SIGKDD 2024 ·
Sunhao Dai
,
Yuqi Zhou
,
Liang Pang
,
Weihao Liu
,
Xiaolin Hu
, Yong Liu,
Xiao Zhang
,
Gang Wang
,
Jun Xu
Perfect Alignment May be Poisonous to Graph Contrastive Learning
ICML 2024 ·
Jingyu Liu
,
Huayi Tang
, Yong Liu
Reimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and Theorem
SIGKDD 2024 ·
Chen Qian
,
Huayi Tang
,
Hong Liang
, Yong Liu
Towards Sharper Risk Bounds for Minimax Problems
IJCAI 2024 ·
Bowei Zhu
,
Shaojie Li
, Yong Liu
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
NeurIPS 2024 ·
Ruifeng Ren
, Yong Liu
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
AAAI 2024 ·
Zhirui Yang
,
Yulan Hu
,
Sheng Ouyang
,
Jingyu Liu
,
Shuqiang Wang
,
Xibo Ma
,
Wenhan Wang
,
Hanjing Su
, Yong Liu