← Authors

Yong Liu

248 papers · 2014–2026 · 19 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (19) πŸ—ΊοΈ Taxonomy Completionist (36) 🏠 Conference Loyalist (44) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ† Keyword Champion (4) πŸ† Grand Slam πŸ‘₯ Mega-Team (27) πŸ”¬ Deep Specialist (27) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) πŸ’Ž Century Club (240) πŸ—ƒοΈ Keyword Collector (94) ⚑ Prolific Year (17)

Conferences

AAAI (52) CVPR (30) NIPS (24) IJCAI (23) ICLR (20) ICML (19) ICCV (19) ECCV (13) EMNLP (11) MICCAI (11) ACL (11) JMLR (5) ACML (3) WACV (2) EACL (1) CORL (1) COLING (1) IJCNLP (1) INTERSPEECH (1)

Top co-authors

Mengmeng Wang (23) Jiangning Zhang (20) Chengjie Wang (19) Jian Li (17) Weiping Wang (14) Rick Siow Mong Goh (13) Shaojie Li (12) Mingsheng Long (11) Chunyan Miao (11) Jun Chen (11)

Research topics

Robotics (1) Statistics (1)

Keywords

large language model (19) generalization bound (16) kernel methods (12) semantic segmentation (11) model compression (10) contrastive learning (10) graph neural network (9) zero-shot learning (9) vision-language model (9) knowledge distillation (8) attention mechanism (8) representation learning (8) neural network optimization (7) convolutional neural network (7) self-supervised learning (6) image generation (6) multimodal learning (6) federated learning (6) transfer learning (6) object detection (5)

Papers

PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination AAAI 2026
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval AAAI 2026
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes AAAI 2026
OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization AAAI 2026
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection AAAI 2026
Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs AAAI 2026
Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026
LLM-Oriented Token-Adaptive Knowledge Distillation AAAI 2026
Do not Abstain! Identify and Solve the Uncertainty ACL 2025
Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control ACL 2025
RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery ACL 2025
HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual Perceiver CVPR 2025
GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model CVPR 2025
Planning with Multi-Constraints via Collaborative Language Agents COLING 2025
Action Detail Matters: Refining Video Recognition with Local Action Queries CVPR 2025
TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation CVPR 2025
SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes CVPR 2025
DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making ICML 2025
MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training ICML 2025
Sundial: A Family of Highly Capable Time Series Foundation Models ICML 2025
SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning ICML 2025
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning ICML 2025
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting ICLR 2025
REEF: Representation Encoding Fingerprints for Large Language Models ICLR 2025
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection ICLR 2025
ToolACE: Winning the Points of LLM Function Calling ICLR 2025
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization ICLR 2025
Federated Residual Low-Rank Adaptation of Large Language Models ICLR 2025
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2025
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective ICLR 2025
On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning ICLR 2025
Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization ICLR 2025
Flash-VStream: Efficient Real-Time Understanding for Long Video Streams ICCV 2025
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models ICCV 2025
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving ICCV 2025
Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation ICCV 2025
CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation ICCV 2025
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution ICCV 2025
LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation ICCV 2025
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models ICCV 2025
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot EMNLP 2025
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation EMNLP 2025
Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning EMNLP 2025
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025
Ad^2mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation WACV 2025
MedGCD: Generalized Category Discovery in Medical Imaging MICCAI 2025
DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis MICCAI 2025
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation MICCAI 2025
Towards Improved Risk Bounds for Transductive Learning IJCAI 2025
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization IJCAI 2025
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting IJCAI 2025
Understanding Model Ensemble in Transferable Adversarial Attack ICML 2025
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering AAAI 2025
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation AAAI 2025
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis AAAI 2025
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving AAAI 2025
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning AAAI 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025
Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents EMNLP 2025
Exploring the Limitations of Mamba in COPY and CoT Reasoning EMNLP 2025
Towards Reward Fairness in RLHF: From a Resource Allocation Perspective ACL 2025
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models ACL 2025
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger ACL 2025
Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NIPS 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NIPS 2024
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays NIPS 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing NIPS 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models NIPS 2024
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving NIPS 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning AAAI 2024
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding AAAI 2024
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt AAAI 2024
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition AAAI 2024
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets AAAI 2024
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm AAAI 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction AAAI 2024
Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024
ETAS: Zero-Shot Transformer Architecture Search via Network Trainability and Expressivity ACL 2024
Multi-Task Network Guided Multimodal Fusion for Fake News Detection ACML 2024
Open-Vocabulary Segmentation with Semantic-Assisted Calibration CVPR 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity CVPR 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection CVPR 2024
Universal Segmentation at Arbitrary Granularity with Language Instruction CVPR 2024
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking CVPR 2024
Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models CVPR 2024
Parameter-Efficient Conversational Recommender System as a Language Processing Task EACL 2024
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks ECCV 2024
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control ECCV 2024
Timestep-Aware Correction for Quantized Diffusion Models ECCV 2024
Tuning-Free Image Customization with Image and Text Guidance ECCV 2024
Structured Optimal Brain Pruning for Large Language Models EMNLP 2024
MC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexing EMNLP 2024
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ICLR 2024
Sentence-level Prompts Benefit Composed Image Retrieval ICLR 2024
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ICLR 2024
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables ICML 2024
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses ICML 2024
Perfect Alignment May be Poisonous to Graph Contrastive Learning ICML 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models ICML 2024
HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph IJCAI 2024
Concentration and Moment Inequalities for General Functions of Independent Random Variables with Heavy Tails JMLR 2024
Learning Discretized Neural Networks under Ricci Flow JMLR 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024
A New Perspective to Boost Performance Fairness For Medical Federated Learning MICCAI 2024
Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning MICCAI 2024
MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification MICCAI 2024
MedSynth: Leveraging Generative Model for Healthcare Data Sharing MICCAI 2024
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models MICCAI 2024
Multi-scale Region-aware Implicit Neural Network for Medical Images Matting MICCAI 2024
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development MICCAI 2024
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling MICCAI 2024
Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space CVPR 2023
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer CVPR 2023
Real3D-AD: A Dataset of Point Cloud Anomaly Detection NIPS 2023
Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses ICLR 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis ICLR 2023
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series AAAI 2023
Adaptive Assignment for Geometry Aware Local Feature Matching CVPR 2023
Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023
SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration NIPS 2023
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning CORL 2023
Towards Understanding Generalization of Graph Neural Networks ICML 2023
Consistency of Multiple Kernel Clustering ICML 2023
Optimal Convergence Rates for Agnostic NystrΓΆm Kernel Learning ICML 2023
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023
Understanding the Generalization Performance of Spectral Clustering Algorithms AAAI 2023
Next POI Recommendation with Dynamic Graph and Explicit Dependency AAAI 2023
Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023
Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning ICCV 2023
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation ICCV 2023
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction ICCV 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning ICCV 2023
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching ICCV 2023
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking ICCV 2023
Learning Global-aware Kernel for Image Harmonization ICCV 2023
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning ICCV 2023
Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition AAAI 2023
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer AAAI 2023
Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection ACML 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors NIPS 2023
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation NIPS 2023
High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning CVPR 2023
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution CVPR 2023
Distributed Randomized Sketching Kernel Learning AAAI 2022
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context ECCV 2022
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms NIPS 2022
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System EMNLP 2022
SoftPatch: Unsupervised Anomaly Detection with Noisy Data NIPS 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NIPS 2022
Toward Knowledge-Enriched Conversational Recommendation Systems ACL 2022
Global Spectral Filter Memory Network for Video Object Segmentation ECCV 2022
Go Wider Instead of Deeper AAAI 2022
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution AAAI 2022
Guide Local Feature Matching by Overlap Estimation AAAI 2022
High Probability Generalization Bounds with Fast Rates for Minimax Problems ICLR 2022
Concurrent Adversarial Learning for Large-Batch Training ICLR 2022
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means NIPS 2022
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails ICML 2022
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm ICML 2022
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel NIPS 2022
Enhancing Sequential Recommendation with Graph Contrastive Learning IJCAI 2022
Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022
Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase CVPR 2022
Region-Aware Face Swapping CVPR 2022
Class-Aware Contrastive Semi-Supervised Learning CVPR 2022
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow CVPR 2022
Ridgeless Regression with Random Features IJCAI 2022
Random Sharpness-Aware Minimization NIPS 2022
Learning to Train a Point Cloud Reconstruction Network without Matching ECCV 2022
Resolution-Free Point Cloud Sampling Network with Data Distillation ECCV 2022
SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud ECCV 2022
Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping ECCV 2022
Learning Quality-Aware Dynamic Memory for Video Object Segmentation ECCV 2022
Refined Learning Bounds for Kernel and Approximate $k$-Means NIPS 2021
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation IJCNLP 2021
One-shot Face Reenactment Using Appearance Adaptive Normalization AAAI 2021
Searching Parameterized AP Loss for Object Detection NIPS 2021
Medical Image Segmentation using Squeeze-and-Expansion Transformers IJCAI 2021
Spatial Context-Aware Self-Attention Model for Multi-Organ Segmentation WACV 2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model NIPS 2021
Towards Sharper Generalization Bounds for Structured Prediction NIPS 2021
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms ICLR 2021
A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021
Keyword-Guided Neural Conversational Model AAAI 2021
Self-Supervised Monocular Depth Estimation for All Day Images Using Domain Separation ICCV 2021
RFNet: Recurrent Forward Network for Dense Point Cloud Completion ICCV 2021
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation ACL 2021
Sharper Generalization Bounds for Clustering ICML 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning ICML 2021
EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning EMNLP 2021
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion AAAI 2021
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation AAAI 2021
Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation AAAI 2021
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation NIPS 2021
Contextualized Point-of-Interest Recommendation IJCAI 2020
FReeNet: Multi-Identity Face Reenactment CVPR 2020
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation CVPR 2020
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose AAAI 2020
Network Representation Learning Algorithm Based on Neighborhood Influence Sequence ACML 2020
RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization AAAI 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020
Divide-and-Conquer Learning with NystrΓΆm: Optimal Rate and Algorithm AAAI 2020
Towards Persona-Based Empathetic Conversational Models EMNLP 2020
FDN: Feature Decoupling Network for Head Pose Estimation AAAI 2020
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image ECCV 2020
Diversified Interactive Recommendation with Implicit Feedback AAAI 2020
Automated Spectral Kernel Learning AAAI 2020
Dive Deeper Into Box for Object Detection ECCV 2020
Learning Personalized Itemset Mapping for Cross-Domain Recommendation IJCAI 2020
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity IJCAI 2019
Face-to-Parameter Translation for Game Character Auto-Creation ICCV 2019
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019
Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NIPS 2019
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation IJCAI 2019
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019
Multi-Class Learning: From Theory to Algorithm NIPS 2018
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships CVPR 2018
Compact Feedforward Sequential Memory Networks for Small-footprint Keyword Spotting INTERSPEECH 2018
Fast Cross-Validation IJCAI 2018
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback IJCAI 2018
Efficient Kernel Selection via Spectral Analysis IJCAI 2017
Online Multitask Relative Similarity Learning IJCAI 2017
Large Margin Object Tracking With Circulant Feature Maps CVPR 2017
Learning User Dependencies for Recommendation IJCAI 2017
Exploring the Context of Locations for Personalized Location Recommendations IJCAI 2016
A Boosting Algorithm for Item Recommendation with Implicit Feedback IJCAI 2015
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014