Tiejin Chen

9 papers at tracked venues · 6 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ACL ×4 EACL ×2 AAAI ×1 SDM ×1 SIGKDD ×1

Frequent coauthors

Hua Wei

×9

Xiaoou Liu

×3

Longchao Da

×3

Pingzhi Li

×3

Kaixiong Zhou

×3

Tianlong Chen

×3

Jia Chen

×2

Evangelos E. Papalexakis

×2

Vishnu Nandam

×1

Kuanru Liou

×1

Huaiyuan Yao

×1

Kaishen Wang

×1

Papers

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
EACL 2026 · Tiejin Chen,
Xiaoou Liu
,
Vishnu Nandam
,
Kuanru Liou
,
Hua Wei
Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
ACL 2026 · Tiejin Chen,
Huaiyuan Yao
,
Jia Chen
,
Evangelos E. Papalexakis
,
Hua Wei
Uncertainty Quantification of Large Language Models through Multiple Uncertainty Sources
ACL 2026 · Tiejin Chen,
Xiaoou Liu
,
Longchao Da
,
Jia Chen
,
Evangelos E. Papalexakis
,
Hua Wei
Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models
EACL 2026 · Tiejin Chen,
Kaishen Wang
,
Hua Wei
Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness
SDM 2025 · Tiejin Chen,
Longchao Da
,
Huixue Zhou
,
Pingzhi Li
,
Kaixiong Zhou
,
Tianlong Chen
,
Hua Wei
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
SIGKDD 2025 ·
Xiaoou Liu
, Tiejin Chen,
Longchao Da
,
Chacha Chen
,
Zhen Lin
,
Hua Wei
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
ACL 2025 · Tiejin Chen,
Pingzhi Li
,
Kaixiong Zhou
,
Tianlong Chen
,
Hua Wei
Vision Language Model Helps Private Information De-Identification in Vision Data
ACL 2025 · Tiejin Chen,
Pingzhi Li
,
Kaixiong Zhou
,
Tianlong Chen
,
Hua Wei
Uncertainty Regularized Evidential Regression
AAAI 2024 ·
Kai Ye
, Tiejin Chen,
Hua Wei
,
Liang Zhan