Technical Program

DLW-L.1: Design and Implementation of Deep Learning for Wireless Communications

Symposium: Design, Implementation and Optimization of Deep Learning for Wireless Communications
Session Type: Lecture
Time: Thursday, November 29, 11:00 - 12:30
Location: Monorail
Session Chair: Yuan-Hao Huang, National Tsing Hua University
 
11:00 - 11:18
DLW-L.1.1: POLAR FEATURE BASED DEEP ARCHITECTURES FOR AUTOMATIC MODULATION CLASSIFICATION CONSIDERING CHANNEL FADING
         Chieh-Fang Teng; National Taiwan University
         Ching-Chun Liao; National Taiwan University
         Chun-Hsiang Chen; National Taiwan University
         An-Yeu (Andy) Wu; National Taiwan University
 
11:18 - 11:36
DLW-L.1.2: LOW-COMPLEXITY MESSAGE PASSING MIMO DETECTION ALGORITHM WITH DEEP NEURAL NETWORK
         Xiaosi Tan; Southeast University
         Zhiwei Zhong; Southeast University
         Zaichen Zhang; Southeast University
         Xiaohu You; Southeast University
         Chuan Zhang; Southeast University
 
11:36 - 11:54
DLW-L.1.3: USING DEEP CROSS MODAL HASHING AND ERROR CORRECTING CODES FOR IMPROVING THE EFFICIENCY OF ATTRIBUTE GUIDED FACIAL IMAGE RETRIEVAL
         Veeru Talreja; West Virginia University
         Fariborz Taherkhani; West Virginia University
         Matthew Valenti; West Virginia University
         Nasser Nasrabadi; West Virginia University
 
11:54 - 12:12
DLW-L.1.4: NEURAL LATTICE DECODERS
         Vincent Corlay; Mitsubishi Electric R&D Centre Europe
         Joseph J. Boutros; Texas A&M University
         Philippe Ciblat; Telecom ParisTech
         Loic Brunel; Mitsubishi Electric R&D Centre Europe
 
12:12 - 12:30
DLW-L.1.5: DEEP LEARNING BASED POWER CONTROL FOR QUALITY-DRIVEN WIRELESS VIDEO TRANSMISSIONS
         Chuang Ye; Syracuse University
         M. Cenk Gursoy; Syracuse University
         Senem Velipasalar; Syracuse University