Haixin Liu

Computer Networks and Communications · with Deng · 2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haixin Liu trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. R. V. D. Geijn (in Hardware and Architecture)

Papers from Haixin Liu's perspective

Ordered by how strongly the researchers Haixin Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. In-datacenter performance analysis of a tensor processing unit
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
  4. Wide & Deep Learning for Recommender Systems
  5. Deep Interest Network for Click-Through Rate Prediction
  6. Deep Learning Recommendation Model for Personalization and Recommendation Systems
  7. Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
  8. Factorization Machines
  9. Deep & Cross Network for Ad Click Predictions (ADKDD@KDD)
  10. NVIDIA Tensor Core Programmability, Performance & Precision (IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum)

Their papers