Research Fellow (incoming) · Show Lab, NUS

Ke Sun

I study how to tell the real from the generated — and I ship what I learn.

I am an incoming Research Fellow at Show Lab, National University of Singapore, working with Prof. Mike Zheng Shou. I received my M.S. and Ph.D. from Xiamen University (MAC Lab), advised by Prof. Rongrong Ji, and I have been a visiting scholar at Westlake University with Prof. Yue Zhang, studying AI-generated text detection and paper originality.

My research spans AIGC detection across text, images and video — face forgery & deepfake detection, LLM-generated text detection, and multimodal learning. The goal: make AIGC controllable and manageable. Previously a research intern at Tencent YouTu and CATL.

Now AIGC detection · face forgery & deepfakes · LLM-generated text
Next video generation · forgery detection · embodied intelligence — let's talk
01

News

02

Publications

Journal
CamoDiffusion — TPAMI 2024

Conditional Diffusion Models for Camouflaged and Salient Object Detection

Ke Sun, Zhongxi Chen, Xianming Lin, Hong Liu, Xiaoshuai Sun, Rongrong Ji

TPAMI 2024
Continual face forgery detection — IJCV 2024

Continual Face Forgery Detection via Historical Distribution Preserving

Ke Sun, Shen Chen, Taiping Yao, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji

IJCV 2024
Conference
Prototype-based routing for text detection — ICML 2026

Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection

Ke Sun, Guangsheng Bao, Han Cui, Yue Zhang

ICML 2026
Visual-linguistic face forgery detection — CVPR 2025

Towards General Visual-Linguistic Face Forgery Detection

Ke Sun, Shen Chen, Taiping Yao, Ziyin Zhou, Jiayi Ji, Xiaoshuai Sun, Chia-Wen Lin, Rongrong Ji

CVPR 2025
DiffusionFake — NeurIPS 2024

DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion

Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji

NeurIPS 2024
StealthDiffusion — ACM MM 2024

StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model

Ziyin Zhou*, Ke Sun*, Zhongxi Chen, Huafeng Kuang, Xiaoshuai Sun, Rongrong Ji

ACM MM 2024
Self-information attention — ECCV 2022

An Information Theoretic Approach for Attention-Driven Face Forgery Detection

Ke Sun, Hong Liu, Taiping Yao, Xiaoshuai Sun, Shen Chen, Shouhong Ding, Rongrong Ji

ECCV 2022
Dual contrastive learning — AAAI 2022

Dual Contrastive Learning for General Face Forgery Detection

Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jili Lin, Rongrong Ji

AAAI 2022
Learning to weight — AAAI 2021

Domain General Face Forgery Detection by Learning to Weight

Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji

AAAI 2021
03

Side Projects

Papers are hypotheses; products are proofs. Four things I designed, built and run myself, for real people — one of them was built for my grandmother.

checkai.space
CheckAI landing page — AI Detection, Fix as You Go

01 · Research → Product

CheckAI

AI detection, fix as you go.

My detection research, productized. Full-modality AIGC detection for text, image and video, reporting word- and sentence-level forgery rates instead of one opaque score — then a built-in humanizer rewrites exactly the flagged spans to remove the “AI flavor” while keeping the meaning. Ships with a browser extension and a public API.

3,000+Users
200,000+Detections served
Text · Image · VideoHumanizer Browser extensionOpen API
speakkin.com
SpeakKin — the family in a voice, always there

02 · For Grandma

SpeakKin

The family in a voice, always there.

My grandmother is nearly 90 and lives with severe Alzheimer’s. I fine-tuned a VoxCPM voice model on my own childhood voice, wired it to an agent that remembers her life story, and put it inside a XiaoZhi ESP32 speaker — so “little me” can chat with her in real time, endlessly and patiently. It is now a small public service: any family can clone a voice, write down an elder’s memories, and set up a companion of their own.

“That afternoon, Grandma said more than she had in the whole week before.” — my mom, after grandma’s first afternoon with it
20 sOf audio to clone a voice
90Years old — its first user
Agent + memoryVoxCPM2 TTS Voice cloningXiaoZhi ESP32
geochat.chat
GeoChat — map-based site-selection reports

03 · Location Intelligence

GeoChat

From one question to a site-selection report.

A location-intelligence copilot with store-opening knowledge distilled into it. Ask in plain words — “should I open a coffee shop near Xiamen University?” — and it queries live AMap data for competitors, crowd flow and commutes, then writes a SWOT site-selection report in minutes. Paired with a companion app that counts real passers-by on site, so the numbers aren’t just estimates.

AMap MCPSWOT reports Retail knowledgeFoot-traffic counter app

04 · WeChat Mini Program

Check-in Together

Habit streaks are better with friends.

A WeChat mini-program where a group commits to one shared task and checks in together — everyone sees everyone’s streak, so nobody wants to be the one who breaks it. Simple, social, and surprisingly sticky.

20,000+Users
WeChat Mini ProgramSocial habits
04

Awards & Service

Honors & Awards
  • DeepFake Detection Challenge (DFDC), Gold Medal (9 / 2265) — team “Detective Cauchy” page
  • Chalearn Face Presentation Attack Detection Challenge @ ICCV 2021, 2nd place — team We Only Look Once page
  • China Association for Science and Technology Young Talent Support Project
  • Technology Construction Award, Tencent YouTu, 2022
  • National Award, 2019
Academic Service
  • ICML 2026 Silver Reviewer
  • Conference reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, ACL, ICRA
  • Journal reviewer: TPAMI, IJCV, TIFS, TIP, TCSVT, SPL, PR