← Authors

Tong Zhang

330 papers · 2001–2026 · 22 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (24) 🌍 Conference Polyglot (21) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (62) 🌟 Keyword Trendsetter Combo (10) 🏠 Conference Loyalist (59) 🐺 Lone Wolf (6) πŸ”¬ Deep Specialist (29) 🌱 Topic Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (21) πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (25) ⚑ Prolific Year (25) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (316) πŸš€ Conference Pioneer πŸ’Ž Century Club (326) ❓ The Questioner (2)

Conferences

NIPS (59) ICML (49) ACL (32) CVPR (31) JMLR (30) EMNLP (29) ICLR (20) AAAI (15) ECCV (15) COLT (9) NAACL (8) IJCAI (6) ICCV (6) CORL (5) COLING (5) IJCNLP (3) CONLL (3) EACL (1) MICCAI (1) AISTATS (1) NSDI (1) WACV (1)

Top co-authors

Rui Pan (21) SHIZHE DIAO (21) Renjie Pi (20) Jipeng Zhang (18) Hanze Dong (16) Sabine SΓΌsstrunk (15) Wei Xiong (14) Mathieu Salzmann (14) Zhen Cui (14) Yong Lin (13)

Keywords

large language model (17) convex optimization (14) representation learning (13) stochastic optimization (12) regret bound (12) gradient descent (11) neural machine translation (10) stochastic gradient descent (10) greedy algorithm (10) function approximation (9) convolutional neural network (9) reinforcement learning (9) variance reduction (8) reinforcement learning from human feedback (8) graph neural network (8) domain adaptation (8) distributed learning (7) transfer learning (7) nonconvex optimization (7) semi-supervised learning (7)

Papers

PsyPARSE: Retrieval-Augmented Slow Thinking for Personalized Empathetic Counseling AAAI 2026
Monte Carlo Diffusion for Generalizable Learning-Based RANSAC AAAI 2026
Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning EACL 2026
Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models AAAI 2026
Generating Multimodal Driving Scenes via Next-Scene Prediction CVPR 2025
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data NAACL 2025
Let’s Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM’s Math Capability EMNLP 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning JMLR 2025
TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging ICCV 2025
AdaGrad under Anisotropic Smoothness ICLR 2025
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference ICLR 2025
Scene Graph-Grounded Image Generation AAAI 2025
FANS: Formal Answer Selection for LLM Natural Language Math Reasoning Using Lean4 EMNLP 2025
CANDY: Benchmarking LLMs’ Limitations and Assistive Potential in Chinese Misinformation Fact-Checking EMNLP 2025
ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense EMNLP 2025
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing CVPR 2025
Scaling Mesh Generation via Compressive Tokenization CVPR 2025
Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and Alignment EMNLP 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis ICCV 2025
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis IJCAI 2025
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network IJCAI 2025
PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance ICLR 2025
Building Math Agents with Multi-Turn Iterative Preference Learning ICLR 2025
Personalized Visual Instruction Tuning ICLR 2025
Refining CLIP's Spatial Awareness: A Visual-Centric Perspective ICLR 2025
An Orthogonal High-Rank Adaptation for Large Language Models EMNLP 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection CVPR 2025
Logarithmic Regret for Online KL-Regularized Reinforcement Learning ICML 2025
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards ICML 2025
FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point ACL 2025
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents ICML 2025
Demystifying Singular Defects in Large Language Models ICML 2025
MatchDiffusion: Training-free Generation of Match-Cuts ICCV 2025
ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming ACL 2025
SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detection ACL 2025
TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models ACL 2025
Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection ACL 2025
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation ACL 2025
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025
From Lists to Emojis: How Format Bias Affects Model Alignment ACL 2025
A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models ACL 2025
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting ACL 2025
Bridge-Coder: Transferring Model Capabilities from High-Resource to Low-Resource Programming Language ACL 2025
HuB: Learning Extreme Humanoid Balance CORL 2025
MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving ICML 2025
Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods ICML 2025
Faster Sampling via Stochastic Gradient Proximal Sampler ICML 2024
The Non-linear $F$-Design and Applications to Interactive Learning ICML 2024
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference EMNLP 2024
The Instinctive Bias: Spurious Images lead to Illusion in MLLMs EMNLP 2024
Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios NAACL 2024
Fast Rates in Pool-Based Batch Active Learning JMLR 2024
MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance EMNLP 2024
Active Prompting with Chain-of-Thought for Large Language Models ACL 2024
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards ACL 2024
Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation ACL 2024
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models ACL 2024
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning ACL 2024
Plum: Prompt Learning using Metaheuristics ACL 2024
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models ACL 2024
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts EMNLP 2024
Submodular-based In-context Example Selection for LLMs-based Machine Translation COLING 2024
Reverse Diffusion Monte Carlo ICLR 2024
A unique M-pattern for micro-expression spotting in long videos ICLR 2024
InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields CVPR 2024
PerceptionGPT: Effectively Fusing Visual Perception into LLM CVPR 2024
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption ICLR 2024
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo COLT 2024
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses CVPR 2024
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange CVPR 2024
Desigen: A Pipeline for Controllable Design Template Generation CVPR 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024
SiFT: A Serial Framework with Textual Guidance for Federated Learning MICCAI 2024
Mitigating the Alignment Tax of RLHF EMNLP 2024
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation EMNLP 2024
Spurious Feature Diversification Improves Out-of-distribution Generalization ICLR 2024
CVTHead: One-Shot Controllable Head Avatar With Vertex-Feature Transformer WACV 2024
PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs NAACL 2024
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning ICLR 2024
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation ICLR 2024
Data Augmentation via Latent Diffusion for Saliency Prediction ECCV 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NIPS 2024
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NIPS 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NIPS 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NIPS 2024
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference NIPS 2024
Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions NIPS 2024
A Sober Look at the Robustness of CLIPs to Spurious Features NIPS 2024
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own CORL 2024
General Flow as Foundation Affordance for Scalable Robot Learning CORL 2024
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation CORL 2024
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization NAACL 2024
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models NAACL 2024
R-Tuning: Instructing Large Language Models to Say β€˜I Don’t Know’ NAACL 2024
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization ECCV 2024
An Incremental Unified Framework for Small Defect Inspection ECCV 2024
SINDER: Repairing the Singular Defects of DINOv2 ECCV 2024
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise ICLR 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection AAAI 2024
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning ICML 2024
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption ICML 2024
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint ICML 2024
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency COLT 2023
NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects ICCV 2023
Particle-based Variational Inference with Preconditioned Functional Gradient Flow ICLR 2023
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ICLR 2023
Learn and Sample Together: Collaborative Generation for Graphic Design Layout IJCAI 2023
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training NIPS 2023
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NIPS 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation NIPS 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage NIPS 2023
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NIPS 2023
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes NIPS 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation CORL 2023
Deep Graph Structural Infomax AAAI 2023
Covariate-Shift Generalization via Random Sample Weighting AAAI 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML 2023
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories ACL 2023
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023
Generalized Polyak Step Size for First Order Optimization with Momentum ICML 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023
On the Convergence of Federated Averaging with Cyclic Client Participation ICML 2023
VO$Q$L: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation COLT 2023
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction CVPR 2023
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild CVPR 2023
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction CVPR 2023
DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata CVPR 2023
Multi-Consensus Decentralized Accelerated Gradient Descent JMLR 2023
Doolittle: Benchmarks and Corpora for Academic Writing Formalization EMNLP 2023
DetGPT: Detect What You Need via Reasoning EMNLP 2023
Towards Effective Automatic Debt Collection with Persona Awareness EMNLP 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data EMNLP 2023
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System EMNLP 2022
Bayesian Invariant Risk Minimization CVPR 2022
Exploring Geometric Consistency for Monocular 3D Object Detection CVPR 2022
MulT: An End-to-End Multitask Learning Transformer CVPR 2022
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy CVPR 2022
Sparse Invariant Risk Minimization ICML 2022
Probabilistic Bilevel Coreset Selection ICML 2022
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling COLT 2022
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022
Speeding up Transformer Decoding via an Attention Refinement Network COLING 2022
Multilingual Word Sense Disambiguation with Unified Sense Representation COLING 2022
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs COLING 2022
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games ICML 2022
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022
Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022
Toward Knowledge-Enriched Conversational Recommendation Systems ACL 2022
Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting ACL 2022
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums ICLR 2022
Semi-Supervised Monocular 3D Object Detection by Multi-View Consistency ECCV 2022
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering ECCV 2022
Frequency-Aware Contrastive Learning for Neural Machine Translation AAAI 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity NIPS 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NIPS 2022
Weakly Supervised Disentangled Generative Causal Representation Learning JMLR 2022
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint JMLR 2022
Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective EMNLP 2022
MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation EMNLP 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization ICML 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning ICLR 2022
Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-Guided Feature Imitation ICCV 2021
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation IJCNLP 2021
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation IJCNLP 2021
Multi-Hop Transformer for Document-Level Machine Translation NAACL 2021
Deep Wasserstein Graph Discriminant Learning for Graph Classification AAAI 2021
Graph Game Embedding AAAI 2021
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
Error Compensated Distributed SGD Can Be Accelerated NIPS 2021
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks COLT 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification NIPS 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NIPS 2021
Graph Deformer Network IJCAI 2021
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search CVPR 2021
Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021
Involution: Inverting the Inherence of Convolution for Visual Recognition CVPR 2021
Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling CVPR 2021
Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation CVPR 2021
TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation ACL 2021
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation ACL 2021
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation ACL 2021
TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation IJCNLP 2021
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate JMLR 2021
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval ICCV 2021
Improving Chinese Word Segmentation with Wordhood Memory Networks ACL 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS NIPS 2020
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks NIPS 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NIPS 2020
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks NIPS 2020
Decentralized Accelerated Proximal Gradient Descent NIPS 2020
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NIPS 2020
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NIPS 2020
Variational Pathway Reasoning for EEG Emotion Recognition AAAI 2020
Stable Learning via Sample Reweighting AAAI 2020
Optimal Feature Transport for Cross-View Image Geo-Localization AAAI 2020
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge ACL 2020
Pattern-Structure Diffusion for Multi-Task Learning CVPR 2020
Cross-Modal Pattern-Propagation for RGB-T Tracking CVPR 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders CVPR 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search ECCV 2020
Graph Wasserstein Correlation Analysis for Movie Retrieval ECCV 2020
Improving Constituency Parsing with Span Attention EMNLP 2020
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations EMNLP 2020
Black-Box Adversarial Attack with Transferable Model-based Embedding ICLR 2020
Graph inference learning for semi-supervised classification ICLR 2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization ICML 2020
Re-architecting Congestion Management in Lossless Ethernet NSDI 2020
Reinforced Training Data Selection for Domain Adaptation ACL 2019
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points COLT 2019
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition CVPR 2019
Neural Collaborative Subspace Clustering ICML 2019
DHER: Hindsight Experience Replay for Dynamic Goals ICLR 2019
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019
Robust Frequent Directions with Application in Online Learning JMLR 2019
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python JMLR 2019
Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations JMLR 2019
Divergence-Augmented Policy Optimization NIPS 2019
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement AAAI 2019
Neural Machine Translation with Adequacy-Oriented Learning AAAI 2019
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI ICML 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks ICML 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression ICML 2019
Exploiting Deep Representations for Neural Machine Translation EMNLP 2018
QuaSE: Sequence Editing under Quantifiable Guidance EMNLP 2018
Multi-Head Attention with Disagreement Regularization EMNLP 2018
Super-Identity Convolutional Neural Network for Face Hallucination ECCV 2018
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks ECCV 2018
Video Re-localization ECCV 2018
Neural Stereoscopic Image Style Transfer ECCV 2018
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem ICML 2018
Composite Functional Gradient Learning of Generative Adversarial Models ICML 2018
End-to-end Active Object Tracking via Reinforcement Learning ICML 2018
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization ICML 2018
Safe Element Screening for Submodular Function Minimization ICML 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents ICML 2018
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition ECCV 2018
Recurrent Fusion Network for Image captioning ECCV 2018
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry ECCV 2018
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective CVPR 2018
Stochastic Expectation Maximization with Variance Reduction NIPS 2018
Exponentially Weighted Imitation Learning for Batched Historical Data NIPS 2018
Communication Compression for Decentralized Training NIPS 2018
A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition IJCAI 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization NIPS 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator NIPS 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NIPS 2018
Adaptive Sampling Towards Fast Graph Representation Learning NIPS 2018
Gradient Hard Thresholding Pursuit JMLR 2018
Modeling Localness for Self-Attention Networks EMNLP 2018
Deep Pyramid Convolutional Neural Networks for Text Categorization ACL 2017
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning NIPS 2017
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization JMLR 2017
Projection-free Distributed Online Learning in Networks ICML 2017
Efficient Distributed Learning with Sparsity ICML 2017
Diffusion Approximations for Online Principal Component Estimation and Global Convergence NIPS 2017
Deep Subspace Clustering Networks NIPS 2017
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding NIPS 2017
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings ICML 2016
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation NIPS 2016
Exact Recovery of Hard Thresholding Pursuit NIPS 2016
Learning Sparse Low-Threshold Linear Classifiers JMLR 2015
Adaptive Stochastic Alternating Direction Method of Multipliers ICML 2015
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization ICML 2015
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks NAACL 2015
Matrix Factorization with Scale-Invariant Parameters IJCAI 2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling NIPS 2015
Local Smoothness in Variance Reduced Optimization NIPS 2015
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding NIPS 2015
A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014
Compressed Counting Meets Compressed Sensing COLT 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method ICML 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014
Truncated Power Method for Sparse Eigenvalue Problems JMLR 2013
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NIPS 2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013
Random Design Analysis of Ridge Regression COLT 2012
Selective Labeling via Error Bound Minimization NIPS 2012
Learning with Structured Sparsity JMLR 2011
Learning to Search Efficiently in High Dimensions NIPS 2011
Greedy Model Averaging NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Agnostic Active Learning Without Constraints NIPS 2010
Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010
Deep Coding Network NIPS 2010
Sparse Online Learning via Truncated Gradient JMLR 2009
Nonlinear Learning using Local Coordinate Coding NIPS 2009
Multi-Label Prediction via Compressed Sensing NIPS 2009
On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009
Multi-stage Convex Relaxation for Learning with Sparse Regularization NIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Sparse Online Learning via Truncated Gradient NIPS 2008
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information NIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search NIPS 2007
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007
A Discriminative Global Training Algorithm for Statistical MT ACL 2006
A Discriminative Global Training Algorithm for Statistical MT COLING 2006
Learning on Graph with Laplacian Regularization NIPS 2006
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data JMLR 2005
A High-Performance Semi-Supervised Learning Method for Text Chunking ACL 2005
A Localized Prediction Model for Statistical Machine Translation ACL 2005
Statistical Analysis of Some Multi-Category Large Margin Classification Methods JMLR 2004
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity JMLR 2003
HowtogetaChineseName(Entity): Segmentation and Combination Issues EMNLP 2003
A Robust Risk Minimization based Named Entity Recognition System CONLL 2003
Named Entity Recognition through Classifier Combination CONLL 2003
Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem CONLL 2003
Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003
Recommender Systems Using Linear Classifiers JMLR 2002
Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002
Text Chunking based on a Generalization of Winnow JMLR 2002
Text Chunking using Regularized Winnow ACL 2001