activity
20212026
most citedDanceGen: Supporting Choreography Ideation and Prototyping with Generative AI

28 citations · 60 across the 14 of their papers we have counts for

collaborators

14 papers

physics.chem-ph2026

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

Xinwu Ye, Yicheng Mao, Yuxuan Liao +16

Current chemical large language models (LLMs) predominantly rely on explicit Chain-of-Thought (CoT) to solve complex reasoning problems. However, forcing nonverbal tacit chemical l…

cs.HC2026

AlignUI: A Method for Designing LLM-Generated UIs Aligned with User Preferences

Yimeng Liu, Misha Sra, Chang Xiao

Designing user interfaces that align with user preferences is a time-consuming process, which requires iterative cycles of prototyping, user testing, and refinement. Recent advance…

cs.HC2025

TaskLens: Generating Task-Conditioned Scaffolded Interfaces for Learning Professional Creative Software

Yimeng Liu, Misha Sra

Professional creative software has steep learning curves for novices due to complex interfaces, limited guidance, and unfamiliar terminology. To support educators and tool creators…

cs.HC2025★ 1 cited

ReUseIt: Synthesizing Reusable AI Agent Workflows for Web Automation

Yimeng Liu, Misha Sra, Jeevana Priya Inala +1

AI-powered web agents have the potential to automate repetitive tasks, such as form filling, information retrieval, and scheduling, but they struggle to reliably execute these task…

cs.HC2025

Designing Scaffolded Interfaces for Enhanced Learning and Performance in Professional Software

Yimeng Liu, Misha Sra

Professional software offers immense power but also presents significant learning challenges. Its complex interfaces, as well as insufficient built-in structured guidance and unfam…

cs.HC2024★ 17 cited

ARLang: An Outdoor Augmented Reality Application for Portuguese Vocabulary Learning

Arthur Caetano, Alyssa Lawson, Yimeng Liu +1

With recent computer vision techniques and user-generated content, we can augment the physical world with metadata that describes attributes, such as names, geo-locations, and visu…

cs.HC2024

CrowdGenUI: Aligning LLM-Based UI Generation with Crowdsourced User Preferences

Yimeng Liu, Misha Sra, Chang Xiao

Large Language Models (LLMs) have demonstrated remarkable potential across various design domains, including user interface (UI) generation. However, current LLMs for UI generation…

cs.RO2024

LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality

Kojiro Takeyama, Yimeng Liu, Misha Sra

Understanding human locomotion is crucial for AI agents such as robots, particularly in complex indoor home environments. Modeling human trajectories in these spaces requires insig…

cs.HC2024

TR-LLM: Integrating Trajectory Data for Scene-Aware LLM-Based Human Action Prediction

Kojiro Takeyama, Yimeng Liu, Misha Sra

Accurate prediction of human behavior is crucial for AI systems to effectively support real-world applications, such as autonomous robots anticipating and assisting with human task…

cs.HC2024★ 4 cited

SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Making

Sherry X. Chen, Alex Christopher Lim, Yimeng Liu +2

Virtual try-on (VTO) applications aim to replicate the in-store shopping experience and enhance online shopping by enabling users to interact with garments. However, many existing…

cs.HC2024★ 28 cited

DanceGen: Supporting Choreography Ideation and Prototyping with Generative AI

Yimeng Liu, Misha Sra

Choreography creation requires high proficiency in artistic and technical skills. Choreographers typically go through four stages to create a dance piece: preparation, studio, perf…

cs.HC2024★ 2 cited

Interaction Design for Human-AI Choreography Co-creation

Yimeng Liu

Human-AI co-creation aims to combine human and AI strengths for artistic results exceeding individual capabilities. Frameworks exist for painting, music, and poetry, but choreograp…

cs.HC2024★ 8 cited

Exploring AI-assisted Ideation and Prototyping for Choreography

Yimeng Liu, Misha Sra

Choreography creation is a multimodal endeavor, demanding cognitive abilities to develop creative ideas and technical expertise to convert choreographic ideas into physical dance m…

eess.IV2021

Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text

Pulkit Tandon, Shubham Chandak, Pat Pataranutaporn +5

Video represents the majority of internet traffic today, driving a continual race between the generation of higher quality content, transmission of larger file sizes, and the devel…