Haichang Li

HelloWorld ✍

I am Haichang(Charles) Li(李海畅), currently a senior Undergraduate student at Purdue University studying Information and Communication. At Purdue University, I was affiliated with DE4M Lab and AIM, and I was lucky enough to be mentored by Prof. Liang He and Prof. Yung hsiang Lu. In addition, I am a founding member of SOUNDING.AI, which is a startup receiving 10M+ CNY to explore how to build AI-based systems and I built a group of AI technical teams here. Currenlty, a startup founded by my collaborator, MEMO.AI, is open to discussions with VCs. I am leading research within the team, focusing on exploring the potential of an AI glasses research prototype. We're looking for researchers and investors now to expand the team:)

Before coming to Purdue University, I dropped out of the EEE joint program with the grade of the first class honor before deciding to shift paths. Those days working with circuits and chips made me realize that I enjoy creating tools and collaborating with people more than focusing on hardware. This realization clarified my research interest to make "Everyone is a Product Manager.":

Designing, building, and evaluating Next-Generation tool¹ that enhance creativity/productivity² and also make them accessible to all³. My ultimate goal is to make human-computer interaction resemble the way a product manager leads a team, where users concentrate on ideation and expressing their needs, and the system autonomously brings those ideas and needs to life.

¹ In my vision, next-generation tools will harness the capabilities of AGI to create truly transformative user experiences. My work focuses on leveraging AI to build these systems, and at the current stage, I see AR and interactive visualization as key mediums for presenting and interacting with information.
² My belief that technology should serve humanity fuels my passion for developing assistant tools in creative and productivity contexts, such as writing, music, and design.
³ This effort extends beyond supporting people with disabilities to include underserved groups(The elderly, the children, and even the new graduates).

In general, my research interests lie at the intersection of generative AI and HCI, within the areas of productivity/creativity/accessibility support to explore how to amplify the help of AI to us. I aim to naturally integrate AI into existing workflows, enhancing rather than disrupting them. I believe that AI should be able to improve user experience in a way that aligns with users' intuition, allowing them to continue their work with greater support without needing to adapt to entirely new processes—much like a copilot. If you are also interested, feel free to drop an email to me:)!

Past 🎯

MEMO: AI-Assisted Memory Aid and Visualization

[In Pre-sale] A full commercial product system with SOTA AI glasses and mobile app integration

The pre-sale version of MEMO is a complete commercial product, featuring state-of-the-art AI glasses and a compatible mobile app. Current MEMO is more than just a device—it's a comprehensive platform with its own computing power and edge AI models, allowing for real-time data processing directly on the glasses. In addition, MEMO features its own app store, where users can download custom applications designed to enhance and extend the functionality of the system, creating a versatile and scalable ecosystem.

Meanwhile, ongoing research explores advanced memory search techniques and visualization through AI-driven graph structures, aiming to further enhance how users interact with their memories and integrate additional mental health support functionalities. The proposed ptototype provides memory recall, graph-based memory visualization, and personalized mental health counseling.

Pre-Order WEB / Research Prototype(In Progress)

Mus2Vid: Music Visualization based on Synesthesia

[Leading Project] Supervised By Prof. Yung Hsiang Lu and Prof. Yeon-Ji Yun, near completion

Mus2Vid addresses synesthesia alignment and continuity in autonomous music visualization by developing a recurrent architecture that ensures consistency in long video generation through iterative parsing and regex-based referencing. It transforms music visualization into storyboard design then generates key frames and assembles them hierarchically for videos, adapting to continuous music performances. Additionally, it introduces a novel criterion for evaluating alignment, ensuring that visual elements consistently match the musical features.

Prior Survey (2024 IEEE Conference On Artificial Intelligence) / WEB / CODE / Technical Paper (Coming Soon)

ShineResume: Resume Writing System for Confused Graduates

[Founding Member] A "0 to 1" entrepreneurial experience obtaining 10M+ CNY funding support

The Post-COVID-19 era has brought a cold winter to the Chinese job market, with layoffs and hiring freezes. Many graduates from ordinary schools, lacking clear career goals or job search strategies, are stuck in an information gap. We aim to use AI, centered on individuals, to help them by recommending industries, optimizing resumes, and offering professional photo style transfers. Our goal is to make AI valuable for underserved groups, helping them find opportunities and succeed.

WEB(CHINESE)

Social Robot for the Depressed and Lonely

[Project Prototype]Project for Assistive Tech with Taehyeon Kim, instructed By Prof. Byung-Cheol Min

To address mental health for those with special needs, like the depressed or isolated elderly, we're developing social robots that use multimodal interaction, sentiment analysis, and natural language processing. This approach ensures accessibility by accommodating different communication methods and provides a more empathetic, human-like interaction. Our goal is to enhance emotional well-being by deeply understanding and supporting the mental health needs of our users.

PROPOSAL / WEB / CODE / PDF

Contact With Me 🍔

I always enjoy discussing and exchanging ideas with others, welcome to communicate with me.📤