Handong Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 112

Top Venues

Publications

Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. EACL (1) (2024)
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR (2024)
Hyunjae Kim, Seunghyun Yoon, Trung Bui, Handong Zhao, Quan Tran, Franck Dernoncourt, Jaewoo Kang
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing. CoRR (2024)
Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR (2024)
Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. ICASSP (2024)
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR (2024)
Hyunjae Kim, Seunghyun Yoon, Trung Bui, Handong Zhao, Quan Hung Tran, Franck Dernoncourt, Jaewoo Kang
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing. EACL (Findings) (2024)
Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang
VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs. CoRR (2024)
Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. NAACL-HLT (2024)
Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li
Revealing an Overlooked Challenge in Class-Incremental Graph Learning. Trans. Mach. Learn. Res. 2024 (2024)
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. CoRR (2024)
Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags. CoRR (2024)
Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova
A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) (2023)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. CoRR (2023)
Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) (2023)
Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. CoRR (2023)
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CVPR (2023)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR (2023)
Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu
Improving Cross-Domain Detection with Self-Supervised Learning. CVPR Workshops (2023)
Daiqing Qi, Handong Zhao, Sheng Li
Better Generative Replay for Continual Federated Learning. ICLR (2023)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS (2023)
Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. ICCV (2023)
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. CoRR (2023)
Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao
Interpretable Unsupervised Log Anomaly Detection. BigData (2023)
Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li
XDC: Adaptive Cross Domain Short Text Clustering. SDM (2023)
Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan
Content-aware Progressive Image Compression and Syncing. ISM (2023)
Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
SpotLight: Visual Insight Recommendation. WWW (Companion Volume) (2023)
Daiqing Qi, Handong Zhao, Sheng Li
Better Generative Replay for Continual Federated Learning. CoRR (2023)
Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types. BigData (2023)
Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI (2023)
Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD (2022)
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CoRR (2022)
Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu
Neural Contextual Bandits with Deep Representation and Shallow Exploration. ICLR (2022)
Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao
Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) (2022)
Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) (2022)
Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM (2022)
Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. CVPR (2022)
Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley
Query-Aware Sequential Recommendation. CIKM (2022)
Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun
Unified Pretraining Framework for Document Understanding. CoRR (2022)
Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) (2022)
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CoRR (2022)
Saed Rezayi, Handong Zhao, Sheng Li
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract). AAAI (2022)
Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW (2022)
Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu
Neural Point Process for Learning Spatiotemporal Event Dynamics. L4DC (2022)
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CIKM (2022)
Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi
AutoForecast: Automatic Time-Series Forecasting Model Selection. CIKM (2022)
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. EMNLP (2022)
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR (2022)
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys (2022)
Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. SIGIR (2022)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CVPR (2021)
Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
Insight-centric Visualization Recommendation. CoRR (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CoRR (2021)
Sibo Zhu, Handong Zhao, Hongfu Liu
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation. CoRR (2021)
Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu
Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning. CoRR (2021)
Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley
Locker: Locally Constrained Self-Attentive Sequential Recommendation. CIKM (2021)
Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks. CoRR (2021)
Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR (2021)
Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. NeurIPS (2021)
Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun
UniDoc: Unified Pretraining Framework for Document Understanding. NeurIPS (2021)
Haifeng Xia, Handong Zhao, Zhengming Ding
Adaptive Adversarial Network for Source-free Domain Adaptation. ICCV (2021)
Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation. ICCV (2021)
Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) (2021)
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR (2021)
Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan
EXACTA: Explainable Column Annotation. KDD (2021)
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT (2021)
Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu
Adversarial Memory Networks for Action Prediction. CoRR (2021)
Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu
Neural Point Process for Learning Spatiotemporal Event Dynamics. CoRR (2021)
Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao
Structured Policy Iteration for Linear Quadratic Regulator. ICML (2020)
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CIKM (2020)
Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu
Neural Contextual Bandits with Deep Representation and Shallow Exploration. CoRR (2020)
Jiuxiang Gu, Jason Kuen, Shafiq R. Joty, Jianfei Cai, Vlad I. Morariu, Handong Zhao, Tong Sun
Self-Supervised Relationship Probing. NeurIPS (2020)
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CoRR (2020)
Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar
Personalized Image Retrieval with Sparse Graph Representation Learning. KDD (2020)
Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR (2020)
Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR (2020)
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
Learnable Subspace Clustering. CoRR (2020)
Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. ECCV (11) (2020)
Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu
Cross-Domain Document Object Detection: Benchmark Suite and Method. CVPR (2020)
Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu
Cross-Domain Document Object Detection: Benchmark Suite and Method. CoRR (2020)
Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. CoRR (2020)
Sheng Li, Handong Zhao
A Survey on Representation Learning for User Modeling. IJCAI (2020)
Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao
Structured Policy Iteration for Linear Quadratic Regulator. CoRR (2020)
Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM (2019)
Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu
Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. KDD (2019)
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
Scene Graph Generation with External Knowledge and Image Reconstruction. CoRR (2019)
Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? KDD (2019)
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
Scene Graph Generation With External Knowledge and Image Reconstruction. CVPR (2019)
Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao
Linear Quadratic Regulator for Resource-Efficient Cloud Services. SoCC (2019)
Riazat Ryan, Handong Zhao, Ming Shao
CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression. IEEE BigData (2019)
Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang
Unpaired Image Captioning via Scene Graph Alignments. CoRR (2019)
Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang
Unpaired Image Captioning via Scene Graph Alignments. ICCV (2019)
Ryan A. Rossi, Youngsuk Park, Handong Zhao, Kanak Mahadik, Gang Wu
Linear Quadratic Regulator for Resource-Efficient Cloud Services. SoCC (2019)
Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu
Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions. IEEE Trans. Image Process. 27 (4) (2018)
Handong Zhao, Hongfu Liu, Zhengming Ding, Yun Fu
Consensus Regularized Multi-View Outlier Detection. IEEE Trans. Image Process. 27 (1) (2018)
Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu
Semantically Guided Visual Question Answering. WACV (2018)
Handong Zhao, Zhengming Ding, Yun Fu
Ensemble Subspace Segmentation Under Blockwise Constraints. IEEE Trans. Circuits Syst. Video Technol. 28 (7) (2018)
Joseph P. Robinson, Ming Shao, Handong Zhao, Yue Wu, Timothy Gillis, Yun Fu
RFIW: Large-Scale Kinship Recognition Challenge. ACM Multimedia (2017)
Jun Li, Hongfu Liu, Handong Zhao, Yun Fu
Projective Low-rank Subspace Clustering via Learning Deep Encoder. IJCAI (2017)

Handong Zhao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Handong Zhao