Tianshi Li

Orcid: 0000-0003-0877-5727

According to our database1, Tianshi Li authored at least 32 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices.
CoRR, 2024

{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation.
CoRR, 2024

Human-Centered Privacy Research in the Age of Large Language Models.
CoRR, 2024

2023
C-PAK: Correcting and Completing Variable-Length Prefix-Based Abbreviated Keystrokes.
ACM Trans. Comput. Hum. Interact., February, 2023

Rationality manipulation during consumer decision-making process: an analysis of Alibaba's online shopping carnival.
Electron. Commer. Res., 2023

"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents.
CoRR, 2023

Shaping the Emerging Norms of Using Large Language Models in Social Computing Research.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022
Alert Now or Never: Understanding and Predicting Notification Preferences of Smartphone Users.
ACM Trans. Comput. Hum. Interact., 2022

Charting App Developers' Journey Through Privacy Regulation Features in Ad Networks.
Proc. Priv. Enhancing Technol., 2022

Understanding Privacy-Related Advice on Stack Overflow.
Proc. Priv. Enhancing Technol., 2022

Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention.
Pervasive Mob. Comput., 2021

OTFS modulation performance in a satellite-to-ground channel at sub-6-GHz and millimeter-wave bands with high mobility.
Frontiers Inf. Technol. Electron. Eng., 2021

Honeysuckle: Annotation-Guided Code Generation of In-App Privacy Notices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

The Design of the User Interfaces for Privacy Enhancements for Android.
CoRR, 2021

2020
How Developers Talk About Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on Reddit.
Proc. ACM Hum. Comput. Interact., 2020

Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps.
CoRR, 2020

2019
Demystifying Complex Workload-DRAM Interactions: An Experimental Study.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study.
CoRR, 2019

The Impact of Online Shopping Carnival on Consumer Decision-Making: The Moderating Role of Gender.
Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019

2018
Coconut: An IDE Plugin for Developing Privacy-Friendly Apps.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips.
CoRR, 2018

2017
Using ECC DRAM to Adaptively Increase Memory Capacity.
CoRR, 2017

2016
Multi-phase Word Sense Embedding Learning Using a Corpus and a Lexical Ontology.
CoRR, 2016

Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Learning Word Sense Embeddings from Word Sense Definitions.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Discourse Parsing with Attention-based Hierarchical Neural Networks.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Improving Chinese Semantic Role Labeling with English Proposition Bank.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2016

2015
Semantic Role Labeling Using Recursive Neural Network.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

2000
A Novel Direct Sequence Spread Spectrum CDMA System with Analog Frequency Modulation.
Int. J. Wirel. Inf. Networks, 2000


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