Yu Wang

18 papers A* 4A 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers.
AAAI
Boxun Xu, Yu Wang, Zihu Wang, Peng Li
2025 — conf
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation.
NAACL (Findings)
Yu Wang, Jiaxin Zhang, Xiang Gao, Wendi Cui, Peng Li, Kamalika Das
2025 J jnl
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation.
CoRR
Yu Wang, Jiaxin Zhang, Xiang Gao, Wendi Cui, Peng Li, Kamalika Das
2024 A conf
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models.
ICCAD
Yuxuan Yin, Yu Wang, Boxun Xu, Peng Li
2024 J jnl
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models.
CoRR
Yuxuan Yin, Yu Wang, Boxun Xu, Peng Li
2024 J jnl
Contrastive Learning with Consistent Representations.
Trans. Mach. Learn. Res.
Zihu Wang, Yu Wang, Zhuotong Chen, Hanbin Hu, Peng Li
2024 J jnl
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory.
Trans. Mach. Learn. Res.
Karthik Somayaji N. S., Yu Wang, Malachi Schram, Ján Drgona, Mahantesh M. Halappanavar, Frank Liu, Peng Li
2024 A* conf
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling.
ICML
Yuxuan Yin, Yu Wang, Peng Li
2024 A* conf
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach.
AAAI
Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li
2024 J jnl
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective.
CoRR
Yu Wang, Yuxuan Yin, Peng Li
2023 A* conf
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution.
AAAI
Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li
2023 J jnl
Contrastive Learning with Consistent Representations.
CoRR
Zihu Wang, Yu Wang, Hanbin Hu, Peng Li
2023 J jnl
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory.
CoRR
Karthik Somayaji N. S., Yu Wang, Malachi Schram, Ján Drgona, Mahantesh Halappanavar, Frank Liu, Peng Li
2023 J jnl
High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling.
CoRR
Yuxuan Yin, Yu Wang, Peng Li
2023 J jnl
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach.
CoRR
Yu Wang, Yuxuan Yin, Karthik Somayaji Nanjangud Suryanarayana, Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li
2021 — conf
Algorithm and Hardware Co-Design for FPGA Acceleration of Hamiltonian Monte Carlo Based No-U-Turn Sampler.
ASAP
Yu Wang, Peng Li
2020 — conf
A Scalable FPGA Engine for Parallel Acceleration of Singular Value Decomposition.
ISQED
Yu Wang, Jeong-Jun Lee, Yu Ding, Peng Li
2017 — conf
A clock interpolation structure using DLL for clock distribution in ADC.
ASICON
Shijia Zhu, Yu Wang, Fan Ye, Jun Xu