Tong Zhang
Employers on the program
- 2026Gartner2 talks
- 2026Amazon Web Services1 talk
- 2021Hong Kong University of Science and Technology1 talk
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- ACML (Asian Conference on Machine Learning)
- AWS re:Invent
- Gartner Data & Analytics Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Hands-on training world models and deploying agents for Physical AI as Amazon (AWS) Physical AI is transforming robotics and autonomous systems with world models that enable agents to understand and interact with their environments. Training…Show lessPhysical AI is transforming robotics and autonomous systems with world models that enable agents to understand and interact with their environments. Training and deploying these large-scale vision-language-action (VLA) models requires complex distributed infrastructure. | |
| Jun 16, 2026 | Gartner Data & Analytics Summit 2026 (Sydney) | Gartner Data & Analytics Summit | speaker | Ask the Analyst: What You Need to Know About China Innovation as Gartner China’s AI is evolving along a unique trajectory, characterized by widely recognized trends and emerging dynamics. Key themes shaping the landscape include…Show lessChina’s AI is evolving along a unique trajectory, characterized by widely recognized trends and emerging dynamics. Key themes shaping the landscape include open-source leadership, a focus on model efficiency, development of data flywheel effects, rapid development and expansion of AI infrastructure, rise of agentic AI and early leadership in physical AI. In this session, we will share the latest progress on these topics. | |
| Jun 16, 2026 | Gartner Data & Analytics Summit 2026 (Sydney) | Gartner Data & Analytics Summit | speaker | Hype Cycle for Generative AI, 2026 as Gartner Generative AI technologies and techniques are evolving at an unprecedented pace, accompanied by significant hype, making it challenging for leaders to navigate…Show lessGenerative AI technologies and techniques are evolving at an unprecedented pace, accompanied by significant hype, making it challenging for leaders to navigate this dynamic landscape. AI leaders can leverage this Hype Cycle to identify the innovations most worth pursuing as they shape and execute their AI strategies. | |
| Nov 17, 2021 | ACML 2021 | ACML (Asian Conference on Machine Learning) | keynote | Understanding Overparameterized Machine Learning Models: Optimization, Sampling, Generalization, and Privacy as Hong Kong University of Science and Technology |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Jianying Lang | 1 | 1 | 2026 |
| Pierre Lienhart | 1 | 1 | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.