Forecasting Asset Dependencies to Reduce Portfolio Risk. - Haoren Zhu; Shih-Yang Liu; Pengfei Zhao; Yingying Chen 004; Dik Lun Lee (AAAI, 2022)

IPR: Interaction-level Preference Ranking for Explicit feedback. - Shih-Yang Liu; Hsien-Hao Chen; Chih-Ming Chen 003; Ming-Feng Tsai; Chuan-Ju Wang (SIGIR, 2022)

LLM-FP4: 4-Bit Floating-Point Quantized Transformers. - Shih-Yang Liu; Zechun Liu; Xijie Huang; Pingcheng Dong; Kwang-Ting Cheng (EMNLP, 2023)

Oscillation-free Quantization for Low-bit Vision Transformers. - Shih-Yang Liu; Zechun Liu; Kwang-Ting Cheng (ICML, 2023)

Efficient Quantization-aware Training with Adaptive Coreset Selection. - Xijie Huang; Zechun Liu; Shih-Yang Liu; Kwang-Ting Cheng (CoRR, 2023)

CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels. - Chi-Hsuan Wu; Shih-Yang Liu; Xijie Huang; Xingbo Wang 001; Rong Zhang 011; Luca Minciullo; Wong Kai Yiu; Kenny Kwan; Kwang-Ting Cheng (CVPR Workshops, 2024)

Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. - Pingcheng Dong; Yonghao Tan; Dong Zhang; Tianwei Ni; Xuejiao Liu; Yu Liu 007; Peng Luo; Luhong Liang; Shih-Yang Liu; Xijie Huang; Huaiyu Zhu 004; Yun Pan; et al. (DAC, 2024)

RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization. - Xijie Huang; Zechun Liu; Shih-Yang Liu; Kwang-Ting Cheng (EMNLP (Findings), 2024)

DoRA: Weight-Decomposed Low-Rank Adaptation. - Shih-Yang Liu; Chien-Yi Wang; Hongxu Yin; Pavlo Molchanov 001; Yu-Chiang Frank Wang; Kwang-Ting Cheng; Min-Hung Chen (ICML, 2024)

EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation. - Shih-Yang Liu; Huck Yang; Chein-Yi Wang; Nai Chit Fung; Hongxu Yin; Charbel Sakr; Saurav Muralidharan; Kwang-Ting Cheng; Jan Kautz; Yu-Chiang Frank Wang; Pavlo Molchanov 001; Min-Hung Chen (CoRR, 2024)

Robust and Efficient Quantization-aware Training via Coreset Selection. - Xijie Huang; Zechun Liu; Shih-Yang Liu; Kwang-Ting Cheng (Trans. Mach. Learn. Res., 2024)

Hymba: A Hybrid-head Architecture for Small Language Models. - Xin Dong 009; Yonggan Fu; Shizhe Diao; Wonmin Byeon; Zijia Chen; Ameya Sunil Mahabaleshwarkar; Shih-Yang Liu; Matthijs Van Keirsbilck; Min-Hung Chen; Yoshi Suhara; Yingyan Celine Lin; Jan Kautz; et al. (ICLR, 2025)

A 28nm 0.22μJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation. - Pingcheng Dong; Yonghao Tan; Xuejiao Liu; Peng Luo; Yu Liu 007; Luhong Liang; Yitong Zhou; Di Pang; Manto Yung; Dong Zhang; Xijie Huang; Shih-Yang Liu; et al. (ISSCC, 2025)

APSQ: Additive Partial Sum Quantization with Algorithm-Hardware Co-Design. - Yonghao Tan; Pingcheng Dong; Yongkun Wu; Yu Liu 007; Xuejiao Liu; Peng Luo; Shih-Yang Liu; Xijie Huang; Dong Zhang; Luhong Liang; Kwang-Ting Cheng (CoRR, 2025)