Xin Li

279 papers · 2001–2026 · 18 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🏃 Academic Marathon (24) 🌍 Conference Polyglot (18) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) 🏆 Keyword Champion 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (32) 🔬 Deep Specialist (34) 🤝 Dynamic Duo (36) 🚀 Conference Pioneer ⚡ Prolific Year (16) 🔥 Unstoppable (13) 🗃️ Keyword Collector (71) 💎 Century Club (265) 📈 Trend Setter ❓ The Questioner (3)

Conferences

AAAI (52) CVPR (50) ICCV (31) IJCAI (24) EMNLP (23) ECCV (22) NIPS (20) ACL (14) ICML (10) ICLR (9) NAACL (6) IJCNLP (5) COLING (3) CONLL (3) AISTATS (3) WACV (2) COLT (1) INTERSPEECH (1)

Top co-authors

Lidong Bing (36) Wai Lam (17) Fan Yang (16) Zhibo Chen (16) Weisheng Dong (15) GUANGMING Shi (15) Cheng Wang (13) Chenglu Wen (13) Hongyu Zang (11) Mingzhong Wang (11)

Research topics

Keywords

large language model (15) representation learning (14) attention mechanism (14) knowledge distillation (13) neural network (13) graph neural network (11) diffusion model (11) 3d object detection (11) convolutional neural network (10) point cloud (10) transfer learning (9) semantic segmentation (9) object detection (9) domain adaptation (8) image generation (8) multi-task learning (7) generative model (7) sequence labeling (7) multimodal learning (7) aspect-based sentiment analysis (7)

Papers

La La LiDAR: Large-Scale Layout Generation from LiDAR Data AAAI 2026

Test-Time Preference Optimization for Image Restoration AAAI 2026

Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors AAAI 2026

UniFit: Towards Universal Virtual Try-on with MLLM-Guided Semantic Alignment AAAI 2026

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization AAAI 2026

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026

From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026

Generative Branching for Mixed-Integer Linear Programming AAAI 2026

SGAT: Learning Feature Matching with Singularity-enhanced Graph Attention Network AAAI 2026

VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation AAAI 2026

KPDM: Key Phrase Dynamic Masking for Robust Text-to-Image Person Retrieval AAAI 2026

FIA-Edit: Frequency-Interactive Attention for Efficient and High-Fidelity Inversion-Free Text-Guided Image Editing AAAI 2026

Sonic4D: Spatial Audio Generation for Immersive 4D Scene Exploration AAAI 2026

Beyond Euclidean Assumptions: Geometry-Aware Adaptive Routing for Remote Sensing Segmentation AAAI 2026

Parameterized Blur Kernel Prior Learning for Local Motion Deblurring CVPR 2025

VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM CVPR 2025

Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes CVPR 2025

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization ICLR 2025

Learning Spatial-Semantic Features for Robust Video Object Segmentation ICLR 2025

PolaFormer: Polarity-aware Linear Attention for Vision Transformers ICLR 2025

OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents ICLR 2025

CADDreamer: CAD Object Generation from Single-view Images CVPR 2025

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment CVPR 2025

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving ICCV 2025

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads ICCV 2025

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining ICCV 2025

Controllable 3D Outdoor Scene Generation via Scene Graphs ICCV 2025

Motal: Unsupervised 3D Object Detection by Modality and Task-specific Knowledge Transfer ICCV 2025

CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition ICCV 2025

ET-MIER: Entity Type-guided Key Mention Identification and Evidence Retrieval for Document-level Relation Extraction EMNLP 2025

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment EMNLP 2025

When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning EMNLP 2025

PRIM: Towards Practical In-Image Multilingual Machine Translation EMNLP 2025

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation EMNLP 2025

MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification CVPR 2025

A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations using Semantic Significance WACV 2025

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs NAACL 2025

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages NAACL 2025

WebQuality: A Large-scale Multi-modal Web Page Quality Assessment Dataset with Multiple Scoring Dimensions NAACL 2025

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model AAAI 2025

TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation AAAI 2025

Training-Free Image Manipulation Localization Using Diffusion Models AAAI 2025

Symbolic Neural Ordinary Differential Equations AAAI 2025

Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning AAAI 2025

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner IJCAI 2025

RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation IJCAI 2025

PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing IJCAI 2025

ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark CVPR 2025

ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction IJCAI 2025

From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation ACL 2025

MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning ACL 2025

WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications ACL 2025

RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025

Learning Fused State Representations for Control from Multi-View Observations ICML 2025

Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion ICML 2025

QMamba: On First Exploration of Vision Mamba for Image Quality Assessment ICML 2025

V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection CVPR 2025

Tight Bounds for Noisy Computation of High-Influence Functions, Connectivity, and Threshold COLT 2025

RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding ICML 2025

Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy CVPR 2025

KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling CVPR 2024

Commonsense Prototype for Outdoor Unsupervised 3D Object Detection CVPR 2024

Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models CVPR 2024

Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis? CVPR 2024

HRVDA: High-Resolution Visual Document Assistant CVPR 2024

Towards Explainable Computerized Adaptive Testing with Large Language Model EMNLP 2024

SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework EMNLP 2024

AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation EMNLP 2024

Image Manipulation Detection With Implicit Neural Representation and Limited Supervision ECCV 2024

MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks ECCV 2024

Spatial-Temporal Multi-level Association for Video Object Segmentation ECCV 2024

CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection ECCV 2024

FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection ECCV 2024

Disentangled Clothed Avatar Generation from Text Descriptions ECCV 2024

UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt ECCV 2024

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models ECCV 2024

Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal ECCV 2024

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration ECCV 2024

Towards Multi-modal Transformers in Federated Learning ECCV 2024

ZSEE: A Dataset based on Zeolite Synthesis Event Extraction for Automated Synthesis Platform NAACL 2024

Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle NIPS 2024

Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective NIPS 2024

MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization NIPS 2024

Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection AAAI 2024

Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection AAAI 2024

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation AAAI 2024

SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking AAAI 2024

MobileInst: Video Instance Segmentation on the Mobile AAAI 2024

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives AAAI 2024

Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention AAAI 2024

Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024

Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024

MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024

CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos NIPS 2024

MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search NIPS 2024

Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning NIPS 2024

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving NIPS 2024

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models NIPS 2024

WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations ACL 2024

SeaLLMs - Large Language Models for Southeast Asia ACL 2024

Revitalizing Real Image Deraining via a Generic Paradigm towards Multiple Rainy Patterns IJCAI 2024

TARN-VIST: Topic Aware Reinforcement Network for Visual Storytelling COLING 2024

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search ICML 2024

Learning Latent Dynamic Robust Representations for World Models ICML 2024

Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models ICML 2024

From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems ICML 2024

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models ICLR 2024

CLEX: Continuous Length Extrapolation for Large Language Models ICLR 2024

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation CVPR 2024

Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding CVPR 2024

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding CVPR 2024

SeD: Semantic-Aware Discriminator for Image Super-Resolution CVPR 2024

Multi-Space Alignments Towards Universal LiDAR Segmentation CVPR 2024

FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models CVPR 2024

HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection CVPR 2024

RTracker: Recoverable Tracking via PN Tree Structured Memory CVPR 2024

KVQ: Kwai Video Quality Assessment for Short-form Videos CVPR 2024

Negative Flux Aggregation to Estimate Feature Attributions IJCAI 2023

UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models NIPS 2023

A Bounded Ability Estimation for Computerized Adaptive Testing NIPS 2023

GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph NIPS 2023

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NIPS 2023

GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NIPS 2023

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader NIPS 2023

SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023

AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer AAAI 2023

The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training AAAI 2023

Transformation-Equivariant 3D Object Detection for Autonomous Driving AAAI 2023

Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding AAAI 2023

Learning Compact Features via In-Training Representation Alignment AAAI 2023

WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series AAAI 2023

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA AAAI 2023

Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning ACL 2023

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations ACL 2023

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks ACL 2023

mPMR: A Multilingual Pre-trained Machine Reader at Scale ACL 2023

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach ACL 2023

Enhancing Cross-lingual Prompting with Dual Prompt Augmentation ACL 2023

Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023

SCPNet: Semantic Scene Completion on Point Cloud CVPR 2023

Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective CVPR 2023

LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion CVPR 2023

Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring CVPR 2023

Micron-BERT: BERT-Based Facial Micro-Expression Recognition CVPR 2023

Vector Quantization With Self-Attention for Quality-Independent Representation Learning CVPR 2023

Virtual Sparse Convolution for Multimodal 3D Object Detection CVPR 2023

Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning EMNLP 2023

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding EMNLP 2023

CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations ICCV 2023

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase ICCV 2023

Surface Extraction from Neural Unsigned Distance Fields ICCV 2023

GAFlow: Incorporating Gaussian Attention into Optical Flow ICCV 2023

DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds ICCV 2023

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions ICCV 2023

Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention ICCV 2023

Batch-based Model Registration for Fast 3D Sherd Reconstruction ICCV 2023

Fast Full-frame Video Stabilization with Iterative Optimization ICCV 2023

LMR: A Large-Scale Multi-Reference Dataset for Reference-Based Super-Resolution ICCV 2023

Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells ICCV 2023

CiteTracker: Correlating Image and Text for Visual Tracking ICCV 2023

Behavior Prior Representation learning for Offline Reinforcement Learning ICLR 2023

Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023

Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification IJCAI 2023

Neural Collaborative Graph Machines for Table Structure Recognition CVPR 2022

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ACL 2022

Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution IJCAI 2022

NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition CVPR 2022

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition CVPR 2022

Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence CVPR 2022

Unsupervised Learning of Accurate Siamese Tracking CVPR 2022

Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution ECCV 2022

Neural Color Operators for Sequential Image Retouching ECCV 2022

RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection ECCV 2022

Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition ECCV 2022

Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection ECCV 2022

Learning Optical Flow with Adaptive Graph Reasoning AAAI 2022

A Joint Learning Framework for Restaurant Survival Prediction and Explanation EMNLP 2022

ConNER: Consistency Training for Cross-lingual Named Entity Recognition EMNLP 2022

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation EMNLP 2022

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples EMNLP 2022

Robust Depth Completion with Uncertainty-Driven Loss Functions AAAI 2022

AttCAT: Explaining Transformers via Attentive Class Activation Tokens NIPS 2022

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning NIPS 2022

Learning Optical Flow With Kernel Patch Attention CVPR 2022

Multi-Object Tracking Meets Moving UAV CVPR 2022

Vector-quantized Image Modeling with Improved VQGAN ICLR 2022

SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning AAAI 2022

DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NIPS 2021

Towards Generative Aspect-Based Sentiment Analysis IJCNLP 2021

Paint Transformer: Feed Forward Neural Painting With Stroke Prediction ICCV 2021

Towards Generative Aspect-Based Sentiment Analysis ACL 2021

Saliency-Associated Object Tracking ICCV 2021

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer ICCV 2021

Explaining Deep Neural Network Models with Adversarial Gradient Integration IJCAI 2021

Tracklet Proposal Network for Multi-Object Tracking on Point Clouds IJCAI 2021

Uncertainty-Driven Loss for Single Image Super-Resolution NIPS 2021

Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection ICCV 2021

Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare Maximization AAAI 2021

Limitations of Autoregressive Models and Their Alternatives NAACL 2021

Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer CVPR 2021

Multilingual AMR Parsing with Noisy Knowledge Distillation EMNLP 2021

Aspect Sentiment Quad Prediction as Paraphrase Generation EMNLP 2021

Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution AAAI 2021

Weakly-Supervised Object Representation Learning for Few-Shot Semantic Segmentation WACV 2021

Mutual Graph Learning for Camouflaged Object Detection CVPR 2021

Learning Semantic Person Image Generation by Region-Adaptive Normalization CVPR 2021

Aspect-based Sentiment Analysis in Question Answering Forums EMNLP 2021

Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints AAAI 2021

Probabilistic Model Distillation for Semantic Correspondence CVPR 2021

Hybrid Graph Neural Networks for Crowd Counting AAAI 2020

LIRA: Lifelong Image Restoration from Unknown Blended Distortions ECCV 2020

Cascade Graph Neural Networks for RGB-D Salient Object Detection ECCV 2020

Multi-Task Driven Feature Models for Thermal Infrared Tracking AAAI 2020

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling AAAI 2020

Relevance-Promoting Language Model for Short-Text Conversation AAAI 2020

Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020

Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests AAAI 2020

On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks AAAI 2020

Training Recurrent Neural Networks Online by Learning Explicit State Variables ICLR 2020

Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020

Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability IJCAI 2020

Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement NIPS 2020

Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration ECCV 2020

Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction ECCV 2020

DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition ECCV 2020

RF-Net: An End-To-End Image Matching Network Based on Receptive Field CVPR 2019

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction AAAI 2019

NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences CVPR 2019

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis EMNLP 2019

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification AAAI 2019

Target-Aware Deep Tracking CVPR 2019

LO-Net: Deep Real-Time Lidar Odometry CVPR 2019

BMN: Boundary-Matching Network for Temporal Action Proposal Generation ICCV 2019

Small and Practical BERT Models for Sequence Labeling IJCNLP 2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning IJCNLP 2019

Improving Fine-grained Entity Typing with Entity Linking IJCNLP 2019

Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search CVPR 2019

Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis ICCV 2019

Decoding EEG by Visual-guided Deep Neural Networks IJCAI 2019

A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment IJCAI 2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning EMNLP 2019

Improving Fine-grained Entity Typing with Entity Linking EMNLP 2019

Small and Practical BERT Models for Sequence Labeling EMNLP 2019

Transformation Networks for Target-Oriented Sentiment Classification ACL 2018

Non-translational Alignment for Multi-relational Networks IJCAI 2018

Aspect Term Extraction with History Attention and Selective Transformation IJCAI 2018

Contour Knowledge Transfer for Salient Object Detection ECCV 2018

Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network IJCAI 2018

An Audio Based Piano Performance Evaluation Method Using Deep Neural Network Based Acoustic Modeling INTERSPEECH 2017

FoveaNet: Perspective-Aware Urban Scene Parsing ICCV 2017

SBGAR: Semantics Based Group Activity Recognition ICCV 2017

Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017

A Structural Representation Learning for Multi-relational Networks IJCAI 2017

Video Scene Parsing With Predictive Feature Learning ICCV 2017

Object-Aware Dense Semantic Correspondence CVPR 2017

Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction EMNLP 2017

Adversarial Examples Detection in Deep Networks With Convolutional Filter Statistics ICCV 2017

Saliency Transfer: An Example-Based Method for Salient Object Detection IJCAI 2016

Aligning Users across Social Networks Using Network Embedding IJCAI 2016

Learning Parametric Sparse Models for Image Super-Resolution NIPS 2016

Simplified Mirror-Based Camera Pose Computation via Rotation Averaging CVPR 2015

Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation IJCAI 2015

Semi-Supervised Zero-Shot Classification With Label Representation Learning ICCV 2015

3D Fragment Reassembly Using Integrated Template Guidance and Fracture-Region Matching ICCV 2015

Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015

Detecting Promotion Campaigns in Community Question Answering IJCAI 2015

Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels AISTATS 2015

Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015

Latent Semantic Representation Learning for Scene Classification ICML 2014

Active Learning with Multi-Label SVM Classification IJCAI 2013

Adaptive Active Learning for Image Classification CVPR 2013

Empirical Exploitation of Click Data for Task Specific Ranking EMNLP 2009

Question Classification using Multiple Classifiers IJCNLP 2005

Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification CONLL 2005

Using Gene Expression Programming to Construct Sentence Ranking Functions for Text Summarization COLING 2004

Robust Reading: Identification and Tracing of Ambiguous Names NAACL 2004

Phrasenet: towards context sensitive lexical semantics CONLL 2003

Learning Question Classifiers COLING 2002

Exploring evidence for shallow parsing CONLL 2001