Qifan Wang

Karthik Abinav Sankararaman

Lifu Huang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

K-order Ranking Preference Optimization for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Optical Flow as Spatial-Temporal Attention Learners.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

On the Equivalence of Graph Convolution and Mixup.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2024

MixingMask: A contour-aware approach for joint object detection and instance segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

CompCap: Improving Multimodal Large Language Models with Composite Captions.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics.

[BibT_eX]

[DOI]

CoRR, 2024

RoRA-VLM: Robust Retrieval-Augmented Vision Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

[BibT_eX]

[DOI]

CoRR, 2024

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Visual Agents as Fast and Slow Thinkers.

[BibT_eX]

[DOI]

CoRR, 2024

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Inertial Confinement Fusion Forecasting via LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations.

[BibT_eX]

[DOI]

CoRR, 2024

InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States.

[BibT_eX]

[DOI]

CoRR, 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.

[BibT_eX]

[DOI]

CoRR, 2024

Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration.

[BibT_eX]

[DOI]

CoRR, 2024

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.

[BibT_eX]

[DOI]

CoRR, 2024

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models are Learnable Planners for Long-Term Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

FIRP: Faster LLM Inference via Future Intermediate Representation Prediction.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2024

HYDRA: Model Factorization Framework for Black-Box LLM Personalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Visual Fourier Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM-Rec: Personalized Recommendation via Prompting Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Prototypical Transformer As Unified Motion Learners.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Translation as Diffusion Visual Programmers.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Representation Deficiency in Masked Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Direct Multi-Turn Preference Optimization for Language Agents.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

C-ICL: Contrastive In-context Learning for Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Radiance Field Learners As UAV First-Person Viewers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

AMD: Automatic Multi-step Distillation of Large-Scale Vision Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Minimal Distillation Schedule for Extreme Language Model Compression.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes.

[BibT_eX]

[DOI]

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ProMotion: Prototypes as Motion Learners.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Multimodal Instruction Tuning with Conditional Mixture of LoRA.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2023

Boosting adversarial robustness via self-paced adversarial training.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

CatGCN: Graph Convolutional Networks With Categorical Node Features.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

Interactive active learning for fairness with partial group label.

[BibT_eX]

[DOI]

AI Open, January, 2023

DualGNN: Dual Graph Neural Network for Multimedia Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

[BibT_eX]

[DOI]

CoRR, 2023

Federated Generalization via Information-Theoretic Distribution Diversification.

[BibT_eX]

[DOI]

CoRR, 2023

Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

ClusterFormer: Clustering As A Universal Visual Learner.

[BibT_eX]

[DOI]

CoRR, 2023

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Recommendation Unlearning via Influence Function.

[BibT_eX]

[DOI]

CoRR, 2023

The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning.

[BibT_eX]

[DOI]

CoRR, 2023

MMViT: Multiscale Multiview Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

SVT: Supertoken Video Transformer for Efficient Video Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Stochastic Clustered Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

CoRR, 2023

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

A Causal View for Item-level Effect of Recommendation on User Preference.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

[BibT_eX]

[DOI]

Fan Yao

Chuanhao Li

Karthik Abinav Sankararaman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unified 3D Segmenter As Prototypical Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ClusterFomer: Clustering As A Universal Visual Learner.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TransFlow: Transformer as Flow Learner.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Disentangled Phonetic Representation for Chinese Spelling Correction.

[BibT_eX]

[DOI]

Zihong Liang

Xiaojun Quan

Karthik Abinav Sankararaman

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Video Captioning Using Global-Local Representation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Graph convolution machine for context-aware recommender system.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler.

[BibT_eX]

[DOI]

Yifang Chen

CoRR, 2022

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.

[BibT_eX]

[DOI]

CoRR, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.

[BibT_eX]

[DOI]

CoRR, 2022

Fall Detection from Audios with Audio Transformers.

[BibT_eX]

[DOI]

Prabhjot Kaur

Weisong Shi

CoRR, 2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Partial Multiplex Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

WebFormer: The Web-page Transformer for Structure Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MAVE: A Product Dataset for Multi-source Attribute Value Extraction.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GL-RG: Global-Local Representation Granularity for Video Captioning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Federated Model Decomposition with Private Vocabulary for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

XPrompt: Exploring the Extreme of Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

VIRT: Improving Representation-based Text Matching via Virtual Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Autoregressive Entity Generation for End-to-End Task-Oriented Dialog.

[BibT_eX]

[DOI]

Guanhuan Huang

Xiaojun Quan

Proceedings of the 29th International Conference on Computational Linguistics, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Graph Convolution Machine for Context-aware Recommender System.

[BibT_eX]

[DOI]

CoRR, 2020

Big Bird: Transformers for Longer Sequences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ETC: Encoding Long and Structured Inputs in Transformers.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Constructing a Comprehensive Events Database from the Web.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

Instance-Level Label Propagation with Multi-Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

General, Nested, and Constrained Wiberg Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Elastic net regularized dictionary learning for image classification.

[BibT_eX]

[DOI]

Bao-Di Liu

Multim. Tools Appl., 2016

Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

One-Class Maximum Margin Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016

2015

Learning compact hashing codes with complex objectives from multiple sources for large scale similarity search

[BibT_eX]

[DOI]

PhD thesis, 2015

Latent Discriminative Models for Social Emotion Detection with Emotional Dependency.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2015

An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Ranking Preserving Hashing for Fast Similarity Search.

[BibT_eX]

[DOI]

Zhiwei Zhang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning to Hash on Partial Multi-Modal Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Piecewise linear dimension reduction for nonnegative data.

[BibT_eX]

[DOI]

Jan P. Allebach

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2015, 2015

LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis.

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Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

Learning to Hash on Structured Data.

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Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds.

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Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Cross-domain and cross-category emotion tagging for comments of online news.

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Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Preference preserving hashing for efficient recommendation.

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Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Active hashing with joint data example and tag selection.

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Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules.

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Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval.

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Proceedings of the Computer Vision - ECCV 2014, 2014

Binary Codes Embedding for Fast Image Tagging with Incomplete Labels.

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Proceedings of the Computer Vision - ECCV 2014, 2014

Sparse Semantic Hashing for Efficient Large Scale Similarity Search.

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Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification.

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Lingyun Ruan

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Semantic hashing using tags and topic modeling.

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Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Weighted hashing for fast large scale similarity search.

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Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Learning compact hashing codes for efficient tag completion and prediction.

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Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification.

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Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Query Expansion and Message-Passing Algorithms for TREC Microblog Track.

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Proceedings of The Twentieth Text REtrieval Conference, 2011

A robust one-class bayesian approach for masquerade detection.

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Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010

A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences.

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