← Authors

Wei Chen

245 papers · 2008–2026 · 22 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (22) πŸ—ΊοΈ Taxonomy Completionist (49) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (38) 🌟 Keyword Trendsetter Combo (8) 🀝 Dynamic Duo (31) πŸ‘‘ Triple Crown πŸ† Keyword Champion (4) πŸ† Grand Slam πŸ”¬ Deep Specialist (32) ❓ The Questioner (5) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ⚑ Prolific Year (36) πŸ’Ž Century Club (239) πŸ—ƒοΈ Keyword Collector (151)

Conferences

AAAI (43) NIPS (38) ICML (28) IJCAI (25) ACL (17) ICCV (16) ICLR (16) EMNLP (15) CVPR (11) COLING (10) ECCV (6) INTERSPEECH (3) JMLR (3) NAACL (3) WACV (2) UAI (2) SEMEVAL (2) IJCNLP (1) NSDI (1) ACML (1) COLT (1) AISTATS (1)

Top co-authors

Tie-yan Liu (31) Qi Meng (16) Tengjiao Wang (14) Huishuai Zhang (13) Zhi-ming Ma (11) zhongyu wei (9) Bo Xu (9) Ruichu Cai (8) Xueqi Cheng (8) Minfeng Zhu (8)

Research topics

Privacy (2) Differential Privacy (1)

Keywords

regret bound (20) multi-armed bandit (19) large language model (16) combinatorial optimization (15) online learning (14) graph neural network (9) knowledge graph (9) influence maximization (9) approximation algorithm (8) representation learning (8) neural machine translation (7) knowledge distillation (7) model compression (7) diffusion model (7) neural network (6) social network (6) contrastive learning (6) sample complexity (6) neural network optimization (6) information retrieval (5)

Papers

Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports from Scratch with Agentic Framework AAAI 2026
AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale AAAI 2026
Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026
MHED-SLAM: Multi-Scale Hybrid Encoding-Based Decoupled SLAM AAAI 2026
Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension AAAI 2026
Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models AAAI 2026
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study COLING 2025
Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification COLING 2025
Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback COLING 2025
EMGLLM: Data-to-Text Alignment for Electromyogram Diagnosis Generation with Medical Numerical Data Encoding ACL 2025
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective ACL 2025
ACORD: An Expert-Annotated Retrieval Dataset for Legal Contract Drafting ACL 2025
Learnware Specification via Dual Alignment ICML 2025
Dequantified Diffusion-SchrΓΆdinger Bridge for Density Ratio Estimation ICML 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification ICLR 2025
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning ACL 2025
LLMs Can Simulate Standardized Patients via Agent Coevolution ACL 2025
Don’t Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation ACL 2025
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting ICLR 2025
HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts ICLR 2025
Large Convolutional Model Tuning via Filter Subspace ICLR 2025
Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models ICLR 2025
Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study ICLR 2025
QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation ICCV 2025
Sparse Fine-Tuning of Transformers for Generative Tasks ICCV 2025
HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery ICCV 2025
Task-Decoupled Bezier Surface Constraint for Uneven Low-Light Image Enhancement ICCV 2025
M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking ICCV 2025
Pyrrha: Congestion-Root-Based Flow Control to Eliminate Head-of-Line Blocking in Datacenter NSDI 2025
Octopus: On-device language model for function calling of software APIs NAACL 2025
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection IJCAI 2025
A3GS: Arbitrary Artistic Style into Arbitrary 3D Gaussian Splatting ICCV 2025
DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation ICCV 2025
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations ICCV 2025
Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics ICCV 2025
R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization ICCV 2025
Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction ICCV 2025
Growing a Twig to Accelerate Large Vision-Language Models ICCV 2025
FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025
Following Occam’s Razor: Dynamic Combination of Structured Knowledge for Multi-Hop Question Answering using LLMs EMNLP 2025
Can Large Language Models Translate Unseen Languages in Underrepresented Scripts? EMNLP 2025
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training EMNLP 2025
Jailbreak LLMs through Internal Stance Manipulation EMNLP 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing EMNLP 2025
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models CVPR 2025
CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation CVPR 2025
Multi-view Clustering via Multi-granularity Ensemble IJCAI 2025
Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing IJCAI 2025
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis IJCAI 2025
Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration IJCAI 2025
Offline Learning for Combinatorial Multi-armed Bandits ICML 2025
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models AAAI 2025
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement AAAI 2025
GRPose: Learning Graph Relations for Human Image Generation with Pose Priors AAAI 2025
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data AAAI 2025
Scalable Trajectory-User Linking with Dual-Stream Representation Networks AAAI 2025
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation AAAI 2025
Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing AAAI 2025
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework AAAI 2025
Learnware Specification via Label-Aware Neural Embedding AAAI 2025
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning AAAI 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation AAAI 2025
Debiased Active Learning with Variational Gradient Rectifier AAAI 2025
A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation AAAI 2025
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks AAAI 2025
Data with High and Consistent Preference Difference Are Better for Reward Model AAAI 2025
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction AAAI 2025
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting COLING 2025
AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator COLING 2025
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024
Can Graph Learning Improve Planning in LLM-based Agents? NIPS 2024
Graph Diffusion Policy Optimization NIPS 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding NIPS 2024
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NIPS 2024
Generative Retrieval Meets Multi-Graded Relevance NIPS 2024
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models NIPS 2024
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense NIPS 2024
Query-Efficient Correlation Clustering with Noisy Oracle NIPS 2024
Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection AAAI 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction AAAI 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning ACL 2024
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models ACL 2024
From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning ACL 2024
Combinatorial Causal Bandits without Graph Skeleton ACML 2024
KPatch: Knowledge Patch to Pre-trained Language Model for Zero-Shot Stance Detection on Social Media COLING 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing CVPR 2024
Language-Image Pre-training with Long Captions ECCV 2024
An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding ECCV 2024
BAFFLE: A Baseline of Backpropagation-Free Federated Learning ECCV 2024
Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs ECCV 2024
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering EMNLP 2024
Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback ICLR 2024
Cascading Reinforcement Learning ICLR 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024
Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond ICML 2024
Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation IJCAI 2024
Active Deep Multi-view Clustering IJCAI 2024
Individual Causal Structure Learning from Population Data IJCAI 2024
Causal-learn: Causal Discovery in Python JMLR 2024
Combinatorial Causal Bandits AAAI 2023
Scalable Fair Influence Maximization NIPS 2023
Fourier-Net: Fast Image Registration with Band-Limited Deformation AAAI 2023
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding EMNLP 2023
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction EMNLP 2023
Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection ACL 2023
Inner Product-based Neural Network Similarity NIPS 2023
Collaborative Pure Exploration in Kernel Bandit ICLR 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models ICCV 2023
KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition ACL 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023
Combinatorial Pure Exploration of Causal Bandits ICLR 2023
Multi-Fidelity Multi-Armed Bandits Revisited NIPS 2023
Closing the gap between the upper bound and lower bound of Adam's iteration complexity NIPS 2023
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023
Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection IJCAI 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits ICML 2023
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023
Learning Cooperative Interactions for Multi-Overlap Aspect Sentiment Triplet Extraction EMNLP 2022
TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed CVPR 2022
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights ECCV 2022
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation ACL 2022
A Structure-Aware Argument Encoder for Literature Discourse Analysis COLING 2022
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis COLING 2022
Online Competitive Influence Maximization AISTATS 2022
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations ACL 2022
FT-DeepNets: Fault-Tolerant Convolutional Neural Networks With Kernel-Based Duplication WACV 2022
Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles AAAI 2022
Does Momentum Change the Implicit Regularization on Separable Data? NIPS 2022
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior ICLR 2022
Gradient Information Matters in Policy Optimization by Back-propagating through Model ICLR 2022
Continual Learning with Filter Atom Swapping ICLR 2022
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks NIPS 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NIPS 2022
Feature-Proxy Transformer for Few-Shot Segmentation NIPS 2022
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret NIPS 2022
Adaptive Long-Short Pattern Transformer for Stock Investment Selection IJCAI 2022
Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation IJCAI 2022
Mutual Distillation Learning Network for Trajectory-User Linking IJCAI 2022
Branching Reinforcement Learning ICML 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames ICML 2022
EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning EMNLP 2021
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation ACL 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
Combinatorial Pure Exploration with Bottleneck Reward Function NIPS 2021
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation IJCNLP 2021
R-Drop: Regularized Dropout for Neural Networks NIPS 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction NIPS 2021
Recovering Latent Causal Factor for Generalization to Distributional Shifts NIPS 2021
Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021
Time Series Domain Adaptation via Sparse Associative Structure Alignment AAAI 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations AAAI 2021
The Sogou System for Short-Duration Speaker Verification Challenge 2021 INTERSPEECH 2021
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021
Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach AAAI 2021
FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism CVPR 2021
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation CVPR 2021
Path-BN: Towards effective batch normalization in the Path Space for ReLU networks UAI 2021
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021
Network Inference and Influence Maximization from Samples ICML 2021
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation ICML 2021
Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network NAACL 2021
Combinatorial semi-bandit in the non-stationary environment UAI 2021
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks ICML 2021
Large Scale Private Learning via Low-rank Reparametrization ICML 2021
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NIPS 2021
Robust Neural Machine Translation with ASR Errors ACL 2020
Combinatorial Pure Exploration for Dueling Bandit ICML 2020
Optimization from Structured Samples for Coverage Functions ICML 2020
Gradient Perturbation is Underrated for Differentially Private Convex Optimization IJCAI 2020
(Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations IJCAI 2020
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features CVPR 2020
EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network AAAI 2020
Dual Refinement Underwater Object Detection Network ECCV 2020
Online Influence Maximization under Linear Threshold Model NIPS 2020
PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation WACV 2020
Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020
Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization AAAI 2020
Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations AAAI 2020
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis CVPR 2019
Type Sequence Preserving Heterogeneous Information Network Embedding AAAI 2019
Adapting Translation Models for Transcript Disfluency Detection AAAI 2019
Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space ICLR 2019
Improved Algorithm on Online Clustering of Bandits IJCAI 2019
BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019
Adaptive Influence Maximization with Myopic Feedback NIPS 2019
An Online Attention-Based Model for Speech Recognition INTERSPEECH 2019
Learning for Disparity Estimation Through Feature Constancy CVPR 2018
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin INTERSPEECH 2018
On the Local Hessian in Back-propagation NIPS 2018
Community Exploration: From Offline Optimization to Online Learning NIPS 2018
Unsupervised Neural Machine Translation with Weight Sharing ACL 2018
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets NAACL 2018
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach IJCAI 2018
Thompson Sampling for Combinatorial Semi-Bandits ICML 2018
Towards Binary-Valued Gates for Robust LSTM Training ICML 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications IJCAI 2018
Semi-Supervised Disfluency Detection COLING 2018
The Sogou-TIIC Speech Translation System for IWSLT 2018 EMNLP 2018
Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction SEMEVAL 2018
Dual Supervised Learning ICML 2017
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017
Asynchronous Stochastic Gradient Descent with Delay Compensation ICML 2017
Opinion-aware Knowledge Graph for Political Ideology Detection IJCAI 2017
Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions NIPS 2017
Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach ICCV 2017
Towards Compact and Fast Neural Machine Translation Using a Combined Method EMNLP 2017
LightGBM: A Highly Efficient Gradient Boosting Decision Tree NIPS 2017
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NIPS 2017
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems IJCAI 2017
Combinatorial Multi-Armed Bandit with General Reward Functions NIPS 2016
A Character-Aware Encoder for Neural Machine Translation COLING 2016
Contextual Combinatorial Cascading Bandits ICML 2016
Asynchronous Accelerated Stochastic Gradient Descent IJCAI 2016
A Communication-Efficient Parallel Algorithm for Decision Tree NIPS 2016
pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection SEMEVAL 2016
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016
Stochastic Online Greedy Learning with Semi-bandit Feedbacks NIPS 2015
Action Detection by Implicit Intentional Motion Clustering ICCV 2015
Multi-Task Learning for Subspace Segmentation ICML 2015
Semi-supervised Chinese Word Segmentation based on Bilingual Information EMNLP 2015
Exploiting Community Emotion for Microblog Event Detection EMNLP 2014
Detecting Click Fraud in Online Advertising: A Data Mining Approach JMLR 2014
Actionness Ranking with Lattice Conditional Ordinal Random Fields CVPR 2014
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014
Combinatorial Pure Exploration of Multi-Armed Bandits NIPS 2014
Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013
A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search IJCAI 2013
Two-Layer Generalization Analysis for Ranking Using Rademacher Average NIPS 2010
Ranking Measures and Loss Functions in Learning to Rank NIPS 2009
Dimensions of Subjectivity in Natural Language ACL 2008