影响力指数

77.04/100

前 1.7%

全站排名 #1,081

发表论文13 篇

平均评分6.2

年均产出6.5 篇/年

Tianyi Chen

Associate Professor@Cornell University·美国·OpenReview

研究方向

Bilevel learning and optimization · Distributed optimization and federated learning · Stochastic optimization · Wireless data transmission

8.2

Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions

NeurIPS 2025Oral

通讯

7.3

Objective Soups: Multilingual Multi-Task Modeling for Speech Processing

NeurIPS 2025Poster

通讯

6.6

A First-order Generative Bilevel Optimization Framework for Diffusion Models

ICML 2025Poster

通讯

6.5

Objective Soups: Multilingual Multi-Task Acoustic Modeling for Automatic Speech Recognition

ICLR 2025Rejected

通讯

6.4

Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions

NeurIPS 2025Poster

通讯

6.1

Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance

ICML 2025Spotlight

通讯

5.8

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

NeurIPS 2024Poster

通讯

5.0

Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning

合作者 (20)

Tianyi Chen

Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions

Objective Soups: Multilingual Multi-Task Modeling for Speech Processing

A First-order Generative Bilevel Optimization Framework for Diffusion Models

Objective Soups: Multilingual Multi-Task Acoustic Modeling for Automatic Speech Recognition

Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions

Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance

SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection

Unlocking Global Optimality in Bilevel Optimization: A Pilot Study

Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning

FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning

Towards Exact Gradient-based Training on Analog In-memory Computing

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning