ASPS-P1: Resource-Efficient Machine Learning II
Poster
Tue, 5 May, 14:00 - 16:00
Location: Poster Area 33
Session Type: Poster
Track: Applied Signal Processing Systems [AS]
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ASPS-P1.1: DECISION FUSEDCONV: EFFICIENT OFFLINE REINFORCEMENT LEARNING VIA FUSED STATE-REWARD ENCODING AND HYBRID TEMPORAL CONVOLUTION
Zhuojing Tian, Intelligent Game and Decision Lab(IGDL), China; Yushu Chen, Tsinghua university;National Supercomputing Center in Wuxi, China; Haoyu Ma, National Supercomputing Center in Wuxi, China; Wenlai Zhao, Tsinghua university;National Supercomputing Center in Wuxi, China; Liu Zhao, Zhengzhou University of Technology;National Supercomputing Center in Wuxi, China; Hongkun Yu, Wusheng Zhang, Tsinghua university;National Supercomputing Center in Wuxi, China; Shiming Song, Intelligent Game and Decision Lab(IGDL), China; Dianxi Shi, Advanced Institute of Big Data, China

ASPS-P1.2: DISPATCH: DISTILLING SELECTIVE PATCHES FOR SPEECH ENHANCEMENT
Dohwan Kim, Jung-Woo Choi, Korea Advanced Institute of Science and Technology (KAIST), Korea, Republic of

ASPS-P1.3: EFFICIENT FEW-SHOT LEARNING FOR EDGE AI VIA KNOWLEDGE DISTILLATION ON MOBILEVIT
Shuhei Tsuyuki, Tohoku University, Japan; Reda Bensaid, Jérémy Morlier, Mathieu Leonardon, IMT Atlantique, France; Naoya Onizawa, Tohoku University, Japan; Vincent Gripon, IMT Atlantique, France; Takahiro Hanyu, Tohoku University, Japan

ASPS-P1.4: COLLABORATIVE COMPRESSION FOR LARGE-SCALE MOE DEPLOYMENT ON EDGE
Yixiao Chen, Yanyue Xie, Ruining Yang, Northeastern University, United States of America; Wei Jiang, Wei Wang, Yong He, Yue Chen, Futurewei Technologies, Inc., United States of America; Pu Zhao, Yanzhi Wang, Northeastern University, United States of America

ASPS-P1.5: MI-PRUN: OPTIMIZE LARGE LANGUAGE MODEL PRUNING VIA MUTUAL INFORMATION
Hao Zhang, Zhibin Zhang, Guangxin Wu, He Chen, Jiafeng Guo, Xueqi Cheng, Institute of Computing Technology, China

ASPS-P1.6: SEDPA: SVD-ENHANCED DUAL PATH ATTENTION FOR EFFICIENT INFERENCE
Luchen Zhou, Hao Sun, Yiyue Hu, Zeyu Xue, Yongwen Wang, National University of Defense Technology, China

ASPS-P1.7: VISION MEETS LANGUAGE: ADAPTIVE JOINT PRUNING FOR EFFICIENT MULTIMODAL MODELS
Guangxin Wu, University of Chinese Academy of Sciences, China; Zumeng Zhang, Yunnan University, China; Hao Li, University of Arizona, United States of America; Yangfan He, University of Minnesota Twin Cities, United States of America; Yue Jiang, Fudan University, China; Zhaolu Kang, Peking University, China; Weilin Zhou, Nanjing Tech University, China; Hao Zhang, University of Chinese Academy of Sciences, China

ASPS-P1.8: ECM: Enhancing Compressibility of Quantized Vision Encoder and LLM for Large Vision-Language Models
Weilan Wang, City University of Hong Kong, Hong Kong; Yu Mao, MBZUAI, United Arab Emirates; Dongdong Tang, Nan Guan, City University of Hong Kong, Hong Kong; Chun Jason Xue, MBZUAI, United Arab Emirates

ASPS-P1.9: KNOWLEDGE DISTILLATION VIA GENERATIVE RECONSTRUCTION PATHWAYS FOR END-TO-END AUTOMATIC SPEECH RECOGNITION
Sang-Heon Jeong, Dong-Hyun Kim, Joon-Hyuk Chang, Hanyang University, Korea, Republic of

ASPS-P1.10: ENTROLLM: ENTROPY ENCODED WEIGHT COMPRESSION FOR EFFICIENT LARGE LANGUAGE MODEL INFERENCE ON EDGE DEVICES
Arnab Sanyal, University of Texas, Austin, United States of America; Gourav Datta, Case Western Reserve University, United States of America; Prithwish Mukherjee, Georgia Institute of Technology, United States of America; Sandeep Chinchali, Michael Orshansky, University of Texas, Austin, United States of America