Publications

Full publication list, sorted by year where available.

2026
ACL 2026

AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts

Keyu Li, Junhao Shi, Yang Xiao, Mohan Jiang, Jie Sun, Yunze Wu, Dayuan Fu, Shijie Xia, Xiaojie Cai, Tianze Xu, Weiye Si, Wenjie Li, Dequan Wang#, Pengfei Liu#

Agentic AI
Benchmark
Long Context
Evaluation
arXiv
2026
ICLR 2026

Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems

Keyu Li, Jin Gao, Dequan Wang

Multi-Agent Systems
Bias
Alignment
Evaluation
arXiv
2026
ICLR 2026

Credit-Budgeted ICPC-Style Coding: When Agents Must Pay for Every Decision

Lingfeng Zhou*, Junhao Shi*, Jin Gao, Dequan Wang

Agentic AI
Coding
Evaluation
Budgeted Reasoning
arXiv
2026
ACM Computing Surveys (2026)

Data-Centric Foundation Models in Computational Healthcare: A Survey

Yunkun Zhang*, Jin Gao*, Zheling Tan, Lingfeng Zhou, Kexin Ding, Mu Zhou, Shaoting Zhang#, Dequan Wang#

Medical AI
Foundation Models
Survey
paper
2026
ADVANCED SCIENCE (2026)

From Natural Discovery to AI-Guided Design: A Curated Collection of Compact Enhancers for Crop Engineering

Qi Yao*, Jin Gao*, Keling Wang*, Yufeng Liu*, Peijin Han, Hong Pan, Xiaofeng Yang, Qianlan Yin, Dating Zhong, Lu Ye, Qi Deng, Lingling Gao, Xiaoyu Tu, Dequan Wang#, Yuming Lu#

AI for Science
Crop Engineering
Genomics
paper
2026
RSS 2026

Learning Native Continuation for Action Chunking Flow Policies

Yufeng Liu, Hang Yu, Juntu Zhao, Bocheng Li, Di Zhang, Mingzhu Li, Wenxuan Wu, Yingdong Hu, Junyuan Xie, Junliang Guo, Dequan Wang#, Yang Gao#

Robotics
Policy Learning
arXiv
2025
SCIENCE CHINA Life Sciences (2025)

AI4Protein: Transforming the Future of Protein Design

Dequan Wang*, Zheling Tan*, Jin Gao*, Shaoting Zhang, Jiaqi Shen, Yuming Lu

AI for Science
Protein Design
Scientific AI
paper
2025
COLM 2025

MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding

Mohan Jiang*, Jin Gao*, Jiahao Zhan, Dequan Wang

Multimodal AI
Scientific Understanding
Benchmark
arXiv
2025
COLM 2025

PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play?

Lingfeng Zhou, Jialing Zhang, Jin Gao, Mohan Jiang, Dequan Wang

Evaluation
LLM Judges
arXiv
2024
ECCV 2024

Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions

Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang

Multimodal AI
Benchmark
Robustness
arXiv
2024
ECCV 2024

Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models

Juntu Zhao, Junyu Deng*, Yixin Ye*, Chongxuan Li, Zhijie Deng#, Dequan Wang#

Diffusion
Text-to-Image
Alignment
arXiv
2023
CVPR 2023

Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption

Jin Gao*, Jialing Zhang*, Xihui Liu, Trevor Darrell, Evan Shelhamer#, Dequan Wang#

Robustness
Test-Time Adaptation
Diffusion
arXiv
2023
Scientific Data (2023)

MedFMC: A Real-world Dataset and Benchmark for Foundation Model Adaptation in Medical Image Classification

Dequan Wang*, Xiaosong Wang*, Lilong Wang, Mengzhang Li, Qian Da, Xiaoqiang Liu, Xiangyu Gao, Jun Shen, Junjun He, Tian Shen, Qi Duan, Jie Zhao, Kang Li, Yu Qiao#, Shaoting Zhang#

Medical AI
Foundation Models
Dataset
Benchmark
arXiv
2023
MICCAI 2023

Text-guided Foundation Model Adaptation for Pathological Image Classification

Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang

Medical AI
Foundation Models
Pathology
arXiv
GitHub
LinkedIn
X