Alert button
Picture for Chenghao Liu

Chenghao Liu

Alert button

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning

Feb 23, 2024
Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun

Viaarxiv icon

MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network

Feb 08, 2024
Chengzhi Liu, Chong Zhong, Mingyu Jin, Zheng Tao, Zihong Luo, Chenghao Liu, Shuliang Zhao

Viaarxiv icon

Unified Training of Universal Time Series Forecasting Transformers

Feb 04, 2024
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo

Viaarxiv icon

CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Feb 04, 2024
Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven Hoi, Nhat Ho

Viaarxiv icon

Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques

Feb 04, 2024
Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun

Viaarxiv icon

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts

Dec 12, 2023
Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven Hoi

Figure 1 for HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Figure 2 for HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Figure 3 for HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Figure 4 for HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Viaarxiv icon

ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt

Oct 23, 2023
Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, Jianling Sun

Viaarxiv icon

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

Oct 23, 2023
Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

Viaarxiv icon

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain

Oct 10, 2023
Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo

Viaarxiv icon

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Sep 27, 2023
Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun

Figure 1 for Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Figure 2 for Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Figure 3 for Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Figure 4 for Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Viaarxiv icon