Hao Chen

Carnegie Mellon University, PA, USA

23 papers at tracked venues · 20 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-1960-4803 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×6 ICML ×5 ICLR ×3 AAAI ×2 ACL ×2 CVPR ×2 EMNLP ×2 ECCV ×1

Frequent coauthors

Jindong Wang

×14

Bhiksha Raj

×12

Xiang Li

×10

Zicheng Liu

×5

Rita Singh

×5

Yidong Wang

×5

Xing Xie

×5

Ze Wang

×4

Masashi Sugiyama

×4

Jiang Liu

×3

Ximeng Sun

×3

Kaijie Zhu

×3

Papers

Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions?
AAAI 2026 ·
Ming Liu
, Hao Chen,
Jindong Wang
,
Liwen Wang
,
Jingchen Sun
,
Wensheng Zhang
Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning
ACL 2026 ·
Zhikun Xu
,
Xiaodong Yu
,
Ben Zhou
,
Jiang Liu
,
Jialian Wu
,
Ze Wang
,
Ximeng Sun
, Hao Chen,
Zicheng Liu
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
ACL 2026 ·
Miaomiao Li
, Hao Chen,
Yang Wang
,
Tingyuan Zhu
,
Weijia Zhang
,
Kaijie Zhu
,
Kam-Fai Wong
,
Jindong Wang
CAARMA: Class Augmentation with Adversarial Mixup Regularization
EMNLP 2025 ·
Massa Baali
,
Xiang Li
, Hao Chen,
Syed Abdul Hannan
,
Rita Singh
,
Bhiksha Raj
From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
NeurIPS 2025 ·
Hao Sun
,
Zhongyi Han
, Hao Chen,
Jindong Wang
,
Xin Gao
,
Yilong Yin
ImageFolder: Autoregressive Image Generation with Folded Tokens
ICLR 2025 ·
Xiang Li
,
Kai Qiu
, Hao Chen,
Jason Kuen
,
Jiuxiang Gu
,
Bhiksha Raj
,
Zhe Lin
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
ICML 2025 · Hao Chen,
Yujin Han
,
Fangyi Chen
,
Xiang Li
,
Yidong Wang
,
Jindong Wang
,
Ze Wang
,
Zicheng Liu
,
Difan Zou
,
Bhiksha Raj
On Fairness of Unified Multimodal Large Language Model for Image Generation
NeurIPS 2025 ·
Ming Liu
, Hao Chen,
Jindong Wang
,
Liwen Wang
,
Bhiksha Raj
,
Wensheng Zhang
Rethinking the Bias of Foundation Model under Long-tailed Distribution
ICML 2025 ·
Jiahao Chen
,
Bin Qin
,
Jiangmeng Li
, Hao Chen,
Bing Su
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
CVPR 2025 · Hao Chen,
Ze Wang
,
Xiang Li
,
Ximeng Sun
,
Fangyi Chen
,
Jiang Liu
,
Jindong Wang
,
Bhiksha Raj
,
Zicheng Liu
,
Emad Barsoum
Unleashing Hour-Scale Video Training for Long Video-Language Understanding
NeurIPS 2025 ·
Jingyang Lin
,
Jialian Wu
,
Ximeng Sun
,
Ze Wang
,
Jiang Liu
,
Yusheng Su
,
Xiaodong Yu
, Hao Chen,
Jiebo Luo
,
Zicheng Liu
,
Emad Barsoum
A General Framework for Learning from Weak Supervision
ICML 2024 · Hao Chen,
Jindong Wang
,
Lei Feng
,
Xiang Li
,
Yidong Wang
,
Xing Xie
,
Masashi Sugiyama
,
Rita Singh
,
Bhiksha Raj
AgentReview: Exploring Peer Review Dynamics with LLM Agents
EMNLP 2024 ·
Yiqiao Jin
,
Qinlin Zhao
,
Yiyang Wang
, Hao Chen,
Kaijie Zhu
,
Yijia Xiao
,
Jindong Wang
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
ICML 2024 ·
Qinlin Zhao
,
Jindong Wang
,
Yixuan Zhang
,
Yiqiao Jin
,
Kaijie Zhu
, Hao Chen,
Xing Xie
Completing Visual Objects via Bridging Generation and Segmentation
ICML 2024 ·
Xiang Li
,
Yinpeng Chen
,
Chung-Ching Lin
, Hao Chen,
Kai Hu
,
Rita Singh
,
Bhiksha Raj
,
Lijuan Wang
,
Zicheng Liu
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
CVPR 2024 · Hao Chen,
Ran Tao
,
Han Zhang
,
Yidong Wang
,
Xiang Li
,
Wei Ye
,
Jindong Wang
,
Guosheng Hu
,
Marios Savvides
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
NeurIPS 2024 · Hao Chen,
Ankit Shah
,
Jindong Wang
,
Ran Tao
,
Yidong Wang
,
Xiang Li
,
Xing Xie
,
Masashi Sugiyama
,
Rita Singh
,
Bhiksha Raj
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024 ·
Hao Qian
,
Hongting Zhou
,
Qian Zhao
, Hao Chen,
Hongxiang Yao
,
Jingwei Wang
,
Ziqi Liu
,
Fei Yu
,
Zhiqiang Zhang
,
Jun Zhou
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
NeurIPS 2024 ·
Yizhou Zhao
,
Hengwei Bian
,
Kaihua Chen
,
Pengliang Ji
,
Liao Qu
,
Shao-yu Lin
,
Weichen Yu
,
Haoran Li
, Hao Chen,
Jun Shen
,
Bhiksha Raj
,
Min Xu
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
ICLR 2024 ·
Yidong Wang
,
Zhuohao Yu
,
Wenjin Yao
,
Zhengran Zeng
,
Linyi Yang
,
Cunxiang Wang
, Hao Chen,
Chaoya Jiang
,
Rui Xie
,
Jindong Wang
,
Xing Xie
,
Wei Ye
,
Shikun Zhang
,
Yue Zhang
R2-Bench: Benchmarking the Robustness of Referring Perception Models Under Perturbations
ECCV 2024 ·
Xiang Li
,
Kai Qiu
,
Jinglu Wang
,
Xiaohao Xu
,
Rita Singh
,
Kashu Yamazaki
, Hao Chen,
Xiaonan Huang
,
Bhiksha Raj
Slight Corruption in Pre-training Data Makes Better Diffusion Models
NeurIPS 2024 · Hao Chen,
Yujin Han
,
Diganta Misra
,
Xiang Li
,
Kai Hu
,
Difan Zou
,
Masashi Sugiyama
,
Jindong Wang
,
Bhiksha Raj
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
ICLR 2024 · Hao Chen,
Jindong Wang
,
Ankit Shah
,
Ran Tao
,
Hongxin Wei
,
Xing Xie
,
Masashi Sugiyama
,
Bhiksha Raj