Zhao, Handong

37 publications

NeurIPS 2025 Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding Daiqing Qi, Dongliang Guo, Hanzhang Yuan, Handong Zhao, Mengxuan Hu, Lehan Yang, Sheng Li

CVPR 2025 The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique like Photographers Daiqing Qi, Handong Zhao, Jing Shi, Simon Jenni, Yifei Fan, Franck Dernoncourt, Scott Cohen, Sheng Li

ICCV 2025 VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang

NeurIPS 2024 Easy Regional Contrastive Learning of Expressive Fashion Representations Daiqing Qi, Handong Zhao, Sheng Li

ECCV 2024 Generalizing to Unseen Domains via Text-Guided Augmentation Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li

TMLR 2024 Revealing an Overlooked Challenge in Class-Incremental Graph Learning Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li

ICLR 2024 SOHES: Self-Supervised Open-World Hierarchical Entity Segmentation Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang

JMLR 2024 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao

ICLR 2023 Better Generative Replay for Continual Federated Learning Daiqing Qi, Handong Zhao, Sheng Li

AAAI 2023 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao

ICCV 2023 Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang

CVPRW 2023 Improving Cross-Domain Detection with Self-Supervised Learning Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu

NeurIPS 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

CVPR 2023 Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang

CVPR 2022 EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie

ICLR 2022 Neural Contextual Bandits with Deep Representation and Shallow Exploration Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu

L4DC 2022 Neural Point Process for Learning Spatiotemporal Event Dynamics Zihao Zhou, Xingyi Yang, Ryan Rossi, Handong Zhao, Rose Yu

AAAI 2022 XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract) Saed Rezayi, Handong Zhao, Sheng Li

ICCV 2021 Adaptive Adversarial Network for Source-Free Domain Adaptation Haifeng Xia, Handong Zhao, Zhengming Ding

ICCV 2021 ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu

ICLR 2021 Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman, Aaron Chan, Siddhant Agarwal, PeiFeng Wang, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren

CVPR 2021 SelfDoc: Self-Supervised Document Representation Learning Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu

NeurIPS 2021 Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu

NeurIPS 2021 UniDoc: Unified Pretraining Framework for Document Understanding Jiuxiang Gu, Jason Kuen, Vlad I Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun

IJCAI 2020 A Survey on Representation Learning for User Modeling Sheng Li, Handong Zhao

ECCV 2020 Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li

NeurIPS 2020 Self-Supervised Relationship Probing Jiuxiang Gu, Jason Kuen, Shafiq Joty, Jianfei Cai, Vlad I. Morariu, Handong Zhao, Tong Sun

ICML 2020 Structured Policy Iteration for Linear Quadratic Regulator Youngsuk Park, Ryan Rossi, Zheng Wen, Gang Wu, Handong Zhao

WACV 2018 Semantically Guided Visual Question Answering Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu

IJCAI 2017 Large-Scale Subspace Clustering by Fast Regression Coding Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu

AAAI 2017 Multi-View Clustering via Deep Matrix Factorization Handong Zhao, Zhengming Ding, Yun Fu

IJCAI 2017 Projective Low-Rank Subspace Clustering via Learning Deep Encoder Jun Li, Hongfu Liu, Handong Zhao, Yun Fu

IJCAI 2016 Incomplete Multi-Modal Visual Data Grouping Handong Zhao, Hongfu Liu, Yun Fu

AAAI 2016 Pose-Dependent Low-Rank Embedding for Head Pose Estimation Handong Zhao, Zhengming Ding, Yun Fu

AAAI 2016 Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu

IJCAI 2015 Dual-Regularized Multi-View Outlier Detection Handong Zhao, Yun Fu

IJCAI 2015 Semantic Single Video Segmentation with Robust Graph Representation Handong Zhao, Yun Fu