Chen, Jiahao

19 publications

ICML 2025 Are High-Quality AI-Generated Images More Difficult for Models to Detect? Yao Xiao, Binbin Yang, Weiyan Chen, Jiahao Chen, Zijie Cao, Ziyi Dong, Xiangyang Ji, Liang Lin, Wei Ke, Pengxu Wei

MLJ 2025 ArithmeticGPT: Empowering Small-Size Large Language Models with Advanced Arithmetic Skills Zitao Liu, Ying Zheng, Zhibo Yin, Jiahao Chen, Tianqiao Liu, Mi Tian, Weiqi Luo

AAAI 2025 CAMH: Advancing Model Hijacking Attack in Machine Learning Xing He, Jiahao Chen, Yuwen Pu, Qingming Li, Chunyi Zhou, Yingcai Wu, Jinbao Li, Shouling Ji

ICML 2025 CSV-Occ: Fusing Multi-Frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism Ziming Zhu, Yu Zhu, Jiahao Chen, Xiaofeng Ling, Huanlei Chen, Lihua Sun

ICLR 2025 DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-Based 3D Molecular Pre-Training Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su

AAAI 2025 Enhancing Adversarial Transferability with Adversarial Weight Tuning Jiahao Chen, Zhou Feng, Rui Zeng, Yuwen Pu, Chunyi Zhou, Yi Jiang, Yuyou Gan, Jinbao Li, Shouling Ji

ICLRW 2025 Interpretable Enzyme Function Prediction via Residue-Level Detection Zhao Yang, Bing Su, Jiahao Chen, Ji-Rong Wen

ICML 2025 Rethinking the Bias of Foundation Model Under Long-Tailed Distribution Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su

CoRL 2024 Adapting Humanoid Locomotion over Challenging Terrain via Two-Phase Training Wenhao Cui, Shengtao Li, Huaxing Huang, Bangyu Qin, Tianchu Zhang, Hanjincha Hanjinchao, Liang Zheng, Ziyang Tang, Chenxu Hu, Ning Yan, Jiahao Chen, Zheyuan Jiang

AAAI 2024 Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge Sixing Wu, Jiong Yu, Jiahao Chen, Xiaofan Deng, Wei Zhou

CVPR 2024 NeRF-HuGS: Improved Neural Radiance Fields in Non-Static Scenes Using Heuristics-Guided Segmentation Jiahao Chen, Yipeng Qin, Lingjie Liu, Jiangbo Lu, Guanbin Li

TMLR 2023 Fairness via In-Processing in the Over-Parameterized Regime: A Cautionary Tale with MinDiff Loss Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

AAAI 2023 Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-Centric Cognitive Representations Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo

CVPR 2023 Transfer Knowledge from Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution Jiahao Chen, Bing Su

NeurIPS 2023 XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng

ICLR 2023 simpleKT: A Simple but Tough-to-Beat Baseline for Knowledge Tracing Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo

NeurIPS 2022 pyKT: A Python Library to Benchmark Deep Learning Based Knowledge Tracing Models Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo

NeurIPS 2021 Are My Deep Learning Systems Fair? an Empirical Study of Fixed-Seed Training Shangshu Qian, Viet Hung Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah

ICML 2020 FACT: A Diagnostic for Group Fairness Trade-Offs Joon Sik Kim, Jiahao Chen, Ameet Talwalkar