Shih-Yang Liu - RankMe

25 papers A* 8Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	31.1 A 14.08-to-135.69Token/s ReRAM-on-Logic Stacked Outlier-Free Large-Language-Model Accelerator with Block-Clustered Weight-Compression and Adaptive Parallel-Speculative-Decoding. ISSCC Pingcheng Dong, Yonghao Tan, Xuejiao Liu, Peng Luo, Yu Liu, Di Pang, Songchen Ma, Xijie Huang, Shih-Yang Liu, Dong Zhang, Zhichao Lu, Luhong Liang, Chi-Ying Tsui, Fengbin Tu, Liang Zhao, Kwang-Ting Cheng
2026	J	`jnl`	GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization. CoRR Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Peter Belcak, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov
2025	—	`conf`	A 28nm 0.22μJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation. ISSCC Pingcheng Dong, Yonghao Tan, Xuejiao Liu, Peng Luo, Yu Liu, Luhong Liang, Yitong Zhou, Di Pang, Manto Yung, Dong Zhang, Xijie Huang, Shih-Yang Liu, Yongkun Wu, Fengshi Tian, Chi-Ying Tsui, Fengbin Tu, Kwang-Ting Cheng
2025	A*	`conf`	APSQ: Additive Partial Sum Quantization with Algorithm-Hardware Co-Design. DAC Yonghao Tan, Pingcheng Dong, Yongkun Wu, Yu Liu, Xuejiao Liu, Peng Luo, Shih-Yang Liu, Xijie Huang, Dong Zhang, Luhong Liang, Kwang-Ting Cheng
2025	J	`jnl`	APSQ: Additive Partial Sum Quantization with Algorithm-Hardware Co-Design. CoRR Yonghao Tan, Pingcheng Dong, Yongkun Wu, Yu Liu, Xuejiao Liu, Peng Luo, Shih-Yang Liu, Xijie Huang, Dong Zhang, Luhong Liang, Kwang-Ting Cheng
2025	J	`jnl`	DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning. CoRR Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov
2025	A*	`conf`	Hymba: A Hybrid-head Architecture for Small Language Models. ICLR Xin Dong, 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, Pavlo Molchanov
2024	—	`conf`	CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels. CVPR Workshops Chi-Hsuan Wu, Shih-Yang Liu, Xijie Huang, Xingbo Wang, Rong Zhang, Luca Minciullo, Wong Kai Yiu, Kenny Kwan, Kwang-Ting Cheng
2024	A*	`conf`	DoRA: Weight-Decomposed Low-Rank Adaptation. ICML Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen
2024	J	`jnl`	DoRA: Weight-Decomposed Low-Rank Adaptation. CoRR Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen
2024	J	`jnl`	EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation. CoRR 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, Min-Hung Chen
2024	A*	`conf`	Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. DAC Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng
2024	J	`jnl`	Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. CoRR Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng
2024	J	`jnl`	Hymba: A Hybrid-head Architecture for Small Language Models. CoRR Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Lin, Jan Kautz, Pavlo Molchanov
2024	—	`conf`	RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization. EMNLP (Findings) Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng
2024	J	`jnl`	RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization. CoRR Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng
2024	J	`jnl`	Robust and Efficient Quantization-aware Training via Coreset Selection. Trans. Mach. Learn. Res. Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng
2023	J	`jnl`	CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels. CoRR Chi-Hsuan Wu, Shih-Yang Liu, Xijie Huang, Xingbo Wang, Rong Zhang, Luca Minciullo, Wong Kai Yiu, Kenny Kwan, Kwang-Ting Cheng
2023	J	`jnl`	Efficient Quantization-aware Training with Adaptive Coreset Selection. CoRR Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng
2023	A*	`conf`	LLM-FP4: 4-Bit Floating-Point Quantized Transformers. EMNLP Shih-Yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting Cheng
2023	J	`jnl`	LLM-FP4: 4-Bit Floating-Point Quantized Transformers. CoRR Shih-Yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting Cheng
2023	A*	`conf`	Oscillation-free Quantization for Low-bit Vision Transformers. ICML Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng
2023	J	`jnl`	Oscillation-free Quantization for Low-bit Vision Transformers. CoRR Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng
2022	A*	`conf`	Forecasting Asset Dependencies to Reduce Portfolio Risk. AAAI Haoren Zhu, Shih-Yang Liu, Pengfei Zhao, Yingying Chen, Dik Lun Lee
2022	A*	`conf`	IPR: Interaction-level Preference Ranking for Explicit feedback. SIGIR Shih-Yang Liu, Hsien-Hao Chen, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang