Feature Selection Framework for XGBoost Based on Electrodermal Activity in Stress Detection. - Cheng-Ping Hsieh; Yi-Ta Chen; Win-Ken Beh; An-Yeu Andy Wu (SiPS, 2019)

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. - Mingkai Deng; Jianyu Wang; Cheng-Ping Hsieh; Yihan Wang; Han Guo; Tianmin Shu; Meng Song; Eric P. Xing; Zhiting Hu (EMNLP, 2022)

Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text. - Cheng-An Hsieh; Cheng-Ping Hsieh; Pu-Jen Cheng (CoRR, 2022)

Adapter-Based Extension of Multi-Speaker Text-To-Speech Model for New Speakers. - Cheng-Ping Hsieh; Subhankar Ghosh; Boris Ginsburg (INTERSPEECH, 2023)

Universal Model in Online Customer Service. - Shu-Ting Pi; Cheng-Ping Hsieh; Qun Liu 009; Yuying Zhu 009 (WWW (Companion Volume), 2023)

RULER: What's the Real Context Size of Your Long-Context Language Models? - Cheng-Ping Hsieh; Simeng Sun; Samuel Kriman; Shantanu Acharya; Dima Rekesh; Fei Jia; Yang Zhang 089; Boris Ginsburg (CoRR, 2024)

nGPT: Normalized Transformer with Representation Learning on the Hypersphere. - Ilya Loshchilov; Cheng-Ping Hsieh; Simeng Sun; Boris Ginsburg (ICLR, 2025)

How much do contextualized representations encode long-range context? - Simeng Sun; Cheng-Ping Hsieh (NAACL (Findings), 2025)

L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution. - Simeng Sun; Cheng-Ping Hsieh; Faisal Ladhak; Erik Arakelyan; Santiago Akle Serano; Boris Ginsburg (CoRR, 2025)

SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling. - Krishna C. Puvvada; Faisal Ladhak; Santiago Akle Serrano; Cheng-Ping Hsieh; Shantanu Acharya; Somshubra Majumdar; Fei Jia; Samuel Kriman; Simeng Sun; Dima Rekesh; Boris Ginsburg (CoRR, 2025)