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Tang, Xinyu
17 publications
ICLR
2026
DrugTrail: Interpretable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference Optimization
Yurou Liu
,
Mingyang Li
,
Xinyuan Zhu
,
Rui Jiao
,
Yiming Dong
,
Xinyu Tang
,
Yang Liu
,
Jieping Ye
,
Bing Su
,
Zheng Wang
ICLR
2026
Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
Xinyu Tang
,
Zhenduo Zhang
,
Yurou Liu
,
Xin Zhao
,
Zujie Wen
,
Zhiqiang Zhang
,
Jun Zhou
NeurIPS
2025
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Xiaoxue Cheng
,
Junyi Li
,
Zhenduo Zhang
,
Xinyu Tang
,
Xin Zhao
,
XinYu Kong
,
Zhiqiang Zhang
ICLR
2025
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
Xiaolei Wang
,
Xinyu Tang
,
Junyi Li
,
Xin Zhao
,
Ji-Rong Wen
ICLR
2025
Privacy Auditing of Large Language Models
Ashwinee Panda
,
Xinyu Tang
,
Christopher A. Choquette-Choo
,
Milad Nasr
,
Prateek Mittal
TMLR
2025
Private Fine-Tuning of Large Language Models with Zeroth-Order Optimization
Xinyu Tang
,
Ashwinee Panda
,
Milad Nasr
,
Saeed Mahloujifar
,
Prateek Mittal
AAAI
2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-Based Model Optimizers
Xinyu Tang
,
Xiaolei Wang
,
Wayne Xin Zhao
,
Siyuan Lu
,
Yaliang Li
,
Ji-Rong Wen
ICML
2024
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
Ashwinee Panda
,
Xinyu Tang
,
Saeed Mahloujifar
,
Vikash Sehwag
,
Prateek Mittal
ICMLW
2024
Privacy Auditing of Large Language Models
Ashwinee Panda
,
Xinyu Tang
,
Milad Nasr
,
Christopher A. Choquette-Choo
,
Prateek Mittal
ICMLW
2024
Privacy Auditing of Large Language Models
Ashwinee Panda
,
Xinyu Tang
,
Milad Nasr
,
Christopher A. Choquette-Choo
,
Prateek Mittal
ICLR
2024
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang
,
Richard Shin
,
Huseyin A Inan
,
Andre Manoel
,
Fatemehsadat Mireshghallah
,
Zinan Lin
,
Sivakanth Gopi
,
Janardhan Kulkarni
,
Robert Sim
ICMLW
2024
Private Fine-Tuning of Large Language Models with Zeroth-Order Optimization
Xinyu Tang
,
Ashwinee Panda
,
Milad Nasr
,
Saeed Mahloujifar
,
Prateek Mittal
ICMLW
2023
Differentially Private Generation of High Fidelity Samples from Diffusion Models
Vikash Sehwag
,
Ashwinee Panda
,
Ashwini Pokle
,
Xinyu Tang
,
Saeed Mahloujifar
,
Mung Chiang
,
J Zico Kolter
,
Prateek Mittal
NeurIPS
2023
Differentially Private Image Classification by Learning Priors from Random Processes
Xinyu Tang
,
Ashwinee Panda
,
Vikash Sehwag
,
Prateek Mittal
ICML
2023
Effectively Using Public Data in Privacy Preserving Machine Learning
Milad Nasr
,
Saeed Mahloujifar
,
Xinyu Tang
,
Prateek Mittal
,
Amir Houmansadr
NeurIPSW
2021
A Novel Self-Distillation Architecture to Defeat Membership Inference Attacks
Xinyu Tang
,
Saeed Mahloujifar
,
Liwei Song
,
Virat Shejwalkar
,
Milad Nasr
,
Amir Houmansadr
,
Prateek Mittal
ICCV
2019
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning
Lifeng Fan
,
Wenguan Wang
,
Siyuan Huang
,
Xinyu Tang
,
Song-Chun Zhu