activity
20232026
most citedDistinguishing the formation paths of massive compact ETGs through their internal dynamical structures

3 citations · 3 across the 10 of their papers we have counts for

collaborators

14 papers

cs.HC2026

Afterglow: A Place-Based Memorial Ecology for AI-Mediated Pet Bereavement

Hanjing Shi, Dominic DiFranzo

Pet bereavement often receives little social recognition. Generative AI can give a continuing bond a responsive voice, but a comforting reply may also claim authority to forgive or…

cs.CY2026

His Name, Their Judgment: Expert Authority in Posthumous Persona AI

Hanjing Shi, Dominic DiFranzo

Persona AI can make deceased experts available for decisions they never encountered. Users may seek these personas precisely because they lack the knowledge needed to judge their a…

cs.HC2026

How Far Do Capability Cues Travel? Anthropomorphism and Differentiated Trust in a Platform-Embedded AI Assistant

Chenchen Mao, Hanjing Shi, Haiyan Jia +1

Visible AI capabilities need not translate into broader judgments of trustworthiness. In a randomized 2 x 2 experiment with 270 U.S.-based Reddit users, an embedded assistant displ…

cs.CY2026

When Agents Act Unwatched: The Reduced-Supervision Paradox in Agentic AI

Hanjing Shi, Dominic DiFranzo

Agentic AI is sold on a simple promise: the system keeps acting when the user stops watching. That promise creates an accountability inversion. As stepwise supervision recedes, ver…

cs.CY2026

Beloved Afterlives: Governing AI Resurrection Beyond Consent

Hanjing Shi, Dominic DiFranzo

AI resurrection is often framed as a question of consent: did the represented person authorize being made to speak? That question matters, but it freezes authority at the moment of…

cs.HC2026

Same Team Label, Different Evidence: A Full-Text Audit of Claim Denominators in Human-AI Teaming Research

Hanjing Shi, Kimberly Wang, Sabrina Doherty +1

Human-AI Teaming (HAT) reviews often group studies by labels such as advisor, teammate, or coordinator. Yet the same label can describe one person taking AI advice, several people…

cs.HC2026

When Readability and Source Retention Diverge: An Evaluability Gap in AI Translation

Chenchen Mao, Hanjing Shi, Haiyan Jia +2

Readable AI output can leave an evaluability gap: even when the source is shown, an overall-quality judgment may not reflect what an output preserves. We investigated how source-te…

cs.HC2026

Outer Limits: An Experimental Approach to Controlled Content Manipulation within the Reddit Interface

Chenchen Mao, Hanjing Shi, Haiyan Jia +3

Independent researchers often lack access to intervention capabilities for controlled experiments on live social media platforms. We present Outer Limits, a browser-based system fo…

cs.AI2026

Alignment in Time: Peak-Aware Orchestration for Long-Horizon Agentic Systems

Hanjing Shi, Dominic DiFranzo

Traditional AI alignment primarily focuses on individual model outputs; however, autonomous agents in long-horizon workflows require sustained reliability across entire interaction…

cs.CY2026

When Visibility Outpaces Verification: Delayed Verification and Narrative Lock-in in Agentic AI Discourse

Hanjing Shi, Dominic DiFranzo

Agentic AI systems-autonomous entities capable of independent planning and execution-reshape the landscape of human-AI trust. Long before direct system exposure, user expectations…

cs.AI2026

Human Control Is the Anchor, Not the Answer: Early Divergence of Oversight in Agentic AI Communities

Hanjing Shi, Dominic DiFranzo

Oversight for agentic AI is often discussed as a single goal ("human control"), yet early adoption may produce role-specific expectations. We present a comparative analysis of two…

cs.CL2026

Culturally-Grounded Governance for Multilingual Language Models: Rights, Data Boundaries, and Accountable AI Design

Hanjing Shi, Dominic DiFranzo

Multilingual large language models (MLLMs) are increasingly deployed across cultural, linguistic, and political contexts, yet existing governance frameworks largely assume English-…

astro-ph.GA2025★ 3 cited

Distinguishing the formation paths of massive compact ETGs through their internal dynamical structures

Ling Zhu, Ana L. Chies-Santos, Micheli Trindade Moura +1

Massive early-type galaxies (ETGs) are thought to form in two phases: an initial phase of rapid star formation and a later phase of mergers. A small fraction of these galaxies, cal…

cs.HC2023

A Critique of Human-Autonomous Team Dynamics: Contrasting Qualitative and Quantitative Perspectives

Hanjing Shi

The critique paper provides an in-depth analysis of two influential studies in the field of Human-Autonomous Teams (HATs). Musick et al. explored qualitative dimensions of HAT dyna…