Li-Cheng Lan

Joined

September 2020

Names

Li-Cheng Lan (Preferred)

Emails

****@cs.ucla.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

University of California, Los Angeles (ucla.edu)

2019 – 2025

MS student

National Chiao Tung University (nctu.edu.tw)

2015 – 2017

Undergrad student

National Chiao Tung University (nctu.edu.tw)

2011 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Cho-Jui Hsieh

2019 – 2024

Expertise

No areas of expertise listed

Publications

Exploring Expert Failures Improves LLM Agent Tuning
Li-Cheng Lan, Andrew Bai, Minhao Cheng, Cho-Jui Hsieh, Tianyi Zhou
- Submitted to ICLR 2026
- Readers: Everyone
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee
- ICML 2024 Poster
- Readers: Everyone
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang, Chien Feng, Li-Cheng Lan, Wei-Fang Sun, Cho-Jui Hsieh, Chun-Yi Lee
- Submitted to ICLR 2024
- Readers: Everyone
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Learning to Schedule Learning rate with Graph Neural Networks
Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
- 2022 (modified: 01 Nov 2022)
- ICLR 2022
- Readers: Everyone
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
Learning to Schedule Learning rate with Graph Neural Networks
Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Rethinking the Role of Hyperparameter Tuning in Optimizer Benchmarking
Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh
- 18 May 2021 (modified: 24 May 2023)
- Submitted to NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh
- 2021 (modified: 28 Sept 2021)
- AAAI 2021
- Readers: Everyone

View all 17 publications