Handong Zhao

Orcid: 0000-0003-3775-2954

According to our database1, Handong Zhao authored at least 93 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.
CoRR, 2024

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
CoRR, 2024

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
CoRR, 2023

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer.
CoRR, 2023

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis.
CoRR, 2023

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
CoRR, 2023

SpotLight: Visual Insight Recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

XDC: Adaptive Cross Domain Short Text Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Content-aware Progressive Image Compression and Syncing.
Proceedings of the IEEE International Symposium on Multimedia, 2023

Better Generative Replay for Continual Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Critical Analysis of Document Out-of-Distribution Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Cross-Domain Detection with Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types.
Proceedings of the IEEE International Conference on Big Data, 2023

Interpretable Unsupervised Log Anomaly Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learnable Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unified Pretraining Framework for Document Understanding.
CoRR, 2022

FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Bundle MCR: Towards Conversational Bundle Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Neural Point Process for Learning Spatiotemporal Event Dynamics.
Proceedings of the Learning for Dynamics and Control Conference, 2022

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Neural Contextual Bandits with Deep Representation and Shallow Exploration.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hierarchical Conversational Preference Elicitation with Bandit Feedback.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Query-Aware Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoForecast: Automatic Time-Series Forecasting Model Selection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Few-Shot Class-Incremental Learning for Named Entity Recognition.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Adversarial Memory Networks for Action Prediction.
CoRR, 2021

IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation.
CoRR, 2021

Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning.
CoRR, 2021

RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks.
CoRR, 2021

Insight-centric Visualization Recommendation.
CoRR, 2021

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UniDoc: Unified Pretraining Framework for Document Understanding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Edge: Enriching Knowledge Graph Embeddings with External Text.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

EXACTA: Explainable Column Annotation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Adaptive Adversarial Network for Source-free Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SelfDoc: Self-Supervised Document Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Locker: Locally Constrained Self-Attentive Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Contextualized Knowledge Structures for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Learning Contextualized Knowledge Structures for Commonsense Reasoning.
CoRR, 2020

Self-Supervised Relationship Probing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Personalized Image Retrieval with Sparse Graph Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Survey on Representation Learning for User Modeling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Structured Policy Iteration for Linear Quadratic Regulator.
Proceedings of the 37th International Conference on Machine Learning, 2020

Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions.
Proceedings of the Computer Vision - ECCV 2020, 2020

Cross-Domain Document Object Detection: Benchmark Suite and Method.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Learning Representation for Multi-View Data Analysis - Models and Applications
Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-030-00733-1, 2019

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Unpaired Image Captioning via Scene Graph Alignments.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Scene Graph Generation With External Knowledge and Image Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Linear Quadratic Regulator for Resource-Efficient Cloud Services.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Consensus Regularized Multi-View Outlier Detection.
IEEE Trans. Image Process., 2018

Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions.
IEEE Trans. Image Process., 2018

Ensemble Subspace Segmentation Under Blockwise Constraints.
IEEE Trans. Circuits Syst. Video Technol., 2018

Semantically Guided Visual Question Answering.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
RFIW: Large-Scale Kinship Recognition Challenge.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Large-scale Subspace Clustering by Fast Regression Coding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Projective Low-rank Subspace Clustering via Learning Deep Encoder.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-View Clustering via Deep Matrix Factorization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Fast Low-Rank Projection for Image Classification.
IEEE Trans. Image Process., 2016

Incomplete Multi-Modal Visual Data Grouping.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Pose-Dependent Low-Rank Embedding for Head Pose Estimation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Image aesthetics enhancement using composition-based saliency detection.
Multim. Syst., 2015

Image composite authentication using a single shadow observation.
Sci. China Inf. Sci., 2015

Dual-Regularized Multi-View Outlier Detection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semantic Single Video Segmentation with Robust Graph Representation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Block-wise constrained sparse graph for face image representation.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2013
Visual saliency detection based on photographic composition.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

2012
Photographic composite detection using circles.
Frontiers Comput. Sci., 2012

Video object segmentation with shortest path.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2011
Photographic Composite Detection Using Two Circles.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

2010
Detecting and extracting the photo composites using planar homography and graph cut.
IEEE Trans. Inf. Forensics Secur., 2010


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