Hanlin Tang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Verifiable Fuzzy Multi-Keyword Search with Public Verification over Encrypted Cloud Databases.
KSII Trans. Internet Inf. Syst., March, 2026

Shiva-DiT: Residual-Based Differentiable Top-<i>k</i> Selection for Efficient Diffusion Transformers.
CoRR, February, 2026

2025
DWTAT-DASIS: Fusion of discrete wavelet transform and access tree for distributed authentication in secret image sharing.
Comput. Stand. Interfaces, 2025

Lightweight Traceable Data Circulation Encryption Scheme for Edge Computing.
Concurr. Comput. Pract. Exp., 2025

RazorAttention: Efficient KV Cache Compression Through Retrieval Heads.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads.
CoRR, 2024

SPLICEGNN: SPLIt and ConnEct Tracklets in a Unified Graph Neural Network.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023
Attribute-based multi-user collaborative searchable encryption in COVID-19.
Comput. Commun., May, 2023

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
MKQ-BERT: Quantized BERT with 4-bits Weights and Activations.
CoRR, 2022

1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.
CoRR, 2021

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

ErrorCompensatedX: error compensation for variance reduced algorithms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed.
Proceedings of the 38th International Conference on Machine Learning, 2021

On the geometry of generalization and memorization in deep neural networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance.
IEEE Micro, 2020

APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm.
CoRR, 2020

ATRW: A Benchmark for Amur Tiger Re-identification in the Wild.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020



Emergence of Separable Manifolds in Deep Language Representations.
Proceedings of the 37th International Conference on Machine Learning, 2020

Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Central Server Free Federated Learning over Single-sided Trust Social Networks.
CoRR, 2019

MLPerf Training Benchmark.
CoRR, 2019

Using Image Priors to Improve Scene Understanding.
CoRR, 2019

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.
CoRR, 2019

Generalization to Novel Objects using Prior Relational Knowledge.
CoRR, 2019

Amur Tiger Re-identification in the Wild.
CoRR, 2019

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.
CoRR, 2019

Using Scene Graph Context to Improve Image Generation.
CoRR, 2019

Untangling in Invariant Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distributed Learning over Unreliable Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression.
Proceedings of the 36th International Conference on Machine Learning, 2019

Triplet-Aware Scene Graph Embeddings.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

SpaceNet MVOI: A Multi-View Overhead Imagery Dataset.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Compact Scene Graphs for Layout Composition and Patch Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Channel Attention Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Decentralization Meets Quantization.
CoRR, 2018

Communication Compression for Decentralized Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

D<sup>2</sup>: Decentralized Training over Decentralized Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Recurrent computations for visual pattern completion.
CoRR, 2017

2016
A machine learning approach to predict episodic memory formation.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016


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