Yangjun Ruan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Top Venues

IEEE Commun. Lett.

Publications

Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. CoRR (2024)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. ICLR (2024)
Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
Observational Scaling Laws and the Predictability of Language Model Performance. CoRR (2024)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. CoRR (2023)
Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
Weighted Ensemble Self-Supervised Learning. ICLR (2023)
Yangjun Ruan, Yann Dubois, Chris J. Maddison
Optimal Representations for Covariate Shift. ICLR (2022)
Yangjun Ruan, Saurabh Singh, Warren R. Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
Weighted Ensemble Self-Supervised Learning. CoRR (2022)
Yangjun Ruan, Yann Dubois, Chris J. Maddison
Optimal Representations for Covariate Shift. CoRR (2022)
Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem. CoRR (2022)
Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
Augment with Care: Contrastive Learning for Combinatorial Problems. ICML (2022)
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. ICML (2021)
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. CoRR (2021)
Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh
Learning to Learn by Zeroth-Order Oracle. ICLR (2020)
Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
FastSpeech: Fast, Robust and Controllable Text to Speech. NeurIPS (2019)
Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh
Learning to Learn by Zeroth-Order Oracle. CoRR (2019)
Jinke Ren, Yangjun Ruan, Guanding Yu
Data Transmission in Mobile Edge Networks: Whether and Where to Compress? IEEE Commun. Lett. 23 (3) (2019)
Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
FastSpeech: Fast, Robust and Controllable Text to Speech. CoRR (2019)