Bo Li

394 papers · 2008–2026 · 28 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (55) 🧭 Keyword Pioneer 🌍 Conference Polyglot (27) 🐝 Cross-Pollinator (4) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (17) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🏠 Conference Loyalist (56) 🌟 Keyword Trendsetter Combo (11) 🤝 Dynamic Duo (32) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion (2) 🏆 Grand Slam 👥 Mega-Team (29) 🌱 Topic Pioneer 🔬 Deep Specialist (51) 🚀 Conference Pioneer 🔥 Unstoppable (13) ❓ The Questioner (12) 💎 Century Club (384) 🗃️ Keyword Collector (209) ⚡ Prolific Year (29) 📈 Trend Setter

Conferences

NIPS (56) ICML (56) AAAI (49) CVPR (46) ICLR (41) INTERSPEECH (23) IJCAI (21) ACL (18) EMNLP (17) ICCV (16) ECCV (15) COLING (6) AISTATS (6) NAACL (5) IJCNLP (3) WACV (2) NSDI (2) JMLR (2) ACML (1) EACL (1) MLHC (1) CORL (1) AACL (1) COLT (1) OSDI (1) RSS (1) UAI (1) CLEAR (1)

Top co-authors

Dawn Song (32) Chaowei Xiao (23) Linyi Li (19) Ding Zhao (16) Boxin Wang (14) Peng Cui (14) Chulin Xie (14) Hao Zhang (14) Mintong Kang (13) Peng-tao Jiang (13)

Research topics

Privacy (4) Deep Learning (1) Applications (1) Differential Privacy (1)

Keywords

adversarial robustness (21) large language model (21) adversarial attack (19) adversarial learning (18) domain adaptation (17) approximation algorithm (14) backdoor attack (13) adversarial example (13) causal inference (12) multimodal learning (11) automatic speech recognition (11) federated learning (10) neural network (10) representation learning (10) knowledge distillation (9) object detection (9) semantic segmentation (9) diffusion model (8) convolutional neural network (8) optimal transport (7)

Papers

Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG AAAI 2026

GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging AAAI 2026

Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving AAAI 2026

MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization AAAI 2026

Uncovering and Aligning Anomalous Attention Heads to Defend Against NLP Backdoor Attacks AAAI 2026

Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation AAAI 2026

Information Elicitation Mechanisms for Bayesian Auctions (Abstract Reprint) AAAI 2026

Intention Knowledge Graph Construction for User Intention Relation Modeling EACL 2026

Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making AAAI 2026

Language Drift in Multilingual Retrieval-Augmented Generation: Characterization and Decoding-Time Mitigation AAAI 2026

DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles AAAI 2025

HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking AAAI 2025

Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking AAAI 2025

The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective AAAI 2025

COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks AAAI 2025

Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning AAAI 2025

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection AAAI 2025

RLLTE: Long-Term Evolution Project of Reinforcement Learning AAAI 2025

On Memorization of Large Language Models in Logical Reasoning AACL 2025

MixEval-X: Any-to-any Evaluations from Real-world Data Mixture ICLR 2025

Multi-Task Dense Predictions via Unleashing the Power of Diffusion ICLR 2025

GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping CVPR 2025

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities ACL 2025

LIME: Less Is More for MLLM Evaluation ACL 2025

EgoLife: Towards Egocentric Life Assistant CVPR 2025

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale ACL 2025

MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation ACL 2025

Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications ACL 2025

MPL: Multiple Programming Languages with Large Language Models for Information Extraction ACL 2025

Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity ICLR 2025

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal ICLR 2025

ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning ICML 2025

Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models ICML 2025

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression ICML 2025

Settling the Maximin Share Fairness for Scheduling among Groups of Machines ICML 2025

Reliable and Efficient Amortized Model-based Evaluation ICML 2025

Tamper-Resistant Safeguards for Open-Weight LLMs ICLR 2025

Diagram-Driven Course Questions Generation EMNLP 2025

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search EMNLP 2025

LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models ICLR 2025

MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration ICCV 2025

LGA-Net: Learning Local and Global Affinities for Sparse Scribble based Image Colorization ICCV 2025

ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning ICCV 2025

SDMatte: Grafting Diffusion Models for Interactive Matting ICCV 2025

Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025

Large Multi-modal Models Can Interpret Features in Large Multi-modal Models ICCV 2025

Diversity-Enhanced Distribution Alignment for Dataset Distillation ICCV 2025

$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning ICLR 2025

Minder: Faulty Machine Detection for Large-scale Distributed Model Training NSDI 2025

DisComp: A Two-Stage Prompt Optimization Framework Combining Task-Agnostic and Task-Aware Compression NAACL 2025

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models NAACL 2025

AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories ICLR 2025

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models ICLR 2025

Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025

SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations ICLR 2025

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning ICML 2025

GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning ICML 2025

Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity COLT 2025

MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation COLING 2025

On Memorization of Large Language Models in Logical Reasoning IJCNLP 2025

PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion IJCAI 2025

Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing IJCAI 2025

AdvAgent: Controllable Blackbox Red-teaming on Web Agents ICML 2025

Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources ICML 2025

Learning Adaptive Lighting via Channel-Aware Guidance ICML 2025

OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance ICML 2025

UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning ICML 2025

Meetalk: Retrieval-Augmented and Adaptively Personalized Meeting Summarization with Knowledge Learning from User Corrections ACL 2025

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models ICML 2025

Can LLMs Recognize Their Own Analogical Hallucinations? Evaluating Uncertainty Estimation for Analogical Reasoning ACL 2025

AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models ICLR 2025

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs ICLR 2025

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset ICLR 2025

Can Watermarks be Used to Detect LLM IP Infringement For Free? ICLR 2025

EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE ICLR 2025

Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study AAAI 2025

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning AAAI 2025

Boosting Vision State Space Model with Fractal Scanning AAAI 2025

RedCode: Risky Code Execution and Generation Benchmark for Code Agents NIPS 2024

Effective and Efficient Federated Tree Learning on Hybrid Data ICLR 2024

DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer ICLR 2024

An improved analysis of per-sample and per-update clipping in federated learning ICLR 2024

BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models ICLR 2024

COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits ICLR 2024

Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR 2024

BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment NIPS 2024

Data Free Backdoor Attacks NIPS 2024

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks NIPS 2024

Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024

The Limits of Differential Privacy in Online Learning NIPS 2024

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation NIPS 2024

QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs NIPS 2024

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness NIPS 2024

3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration NIPS 2024

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NIPS 2024

AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases NIPS 2024

Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024

Massive End-to-end Speech Recognition Models with Time Reduction NAACL 2024

Gradual Domain Adaptation: Theory and Algorithms JMLR 2024

CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning AAAI 2024

Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion AAAI 2024

Envy-Free House Allocation under Uncertain Preferences AAAI 2024

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024

Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks AAAI 2024

A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna IJCAI 2024

Improved Approximation of Weighted MMS Fairness for Indivisible Chores IJCAI 2024

Public Event Scheduling with Busy Agents IJCAI 2024

Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024

CaMML: Context-Aware Multimodal Learner for Large Models ACL 2024

LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation ACL 2024

ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs ACL 2024

Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio IJCAI 2024

Enhancing Distributional Stability among Sub-populations AISTATS 2024

Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content ICML 2024

SHINE: Shielding Backdoors in Deep Reinforcement Learning ICML 2024

Differentially Private Synthetic Data via Foundation Model APIs 2: Text ICML 2024

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining ICML 2024

Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing ICML 2024

Fair Federated Learning via the Proportional Veto Core ICML 2024

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal ICML 2024

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications ICML 2024

Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy ICML 2024

Certifiably Byzantine-Robust Federated Conformal Prediction ICML 2024

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models ICML 2024

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles CVPR 2024

Revisiting Single Image Reflection Removal In the Wild CVPR 2024

Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024

PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024

Multi-Task Dense Prediction via Mixture of Low-Rank Experts CVPR 2024

Improving Depth Completion via Depth Feature Upsampling CVPR 2024

ASAM: Boosting Segment Anything Model with Adversarial Tuning CVPR 2024

MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos CVPR 2024

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression ICML 2024

Improving Adversarial Energy-Based Model via Diffusion Process ICML 2024

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding ICML 2024

GRATH: Gradual Self-Truthifying for Large Language Models ICML 2024

Octopus: Embodied Vision-Language Programmer from Environmental Feedback ECCV 2024

FunQA: Towards Surprising Video Comprehension ECCV 2024

Beta-Tuned Timestep Diffusion Model ECCV 2024

MMBENCH: Is Your Multi-Modal Model an All-around Player? ECCV 2024

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging ECCV 2024

Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation ECCV 2024

BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models EMNLP 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging EMNLP 2024

Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge EMNLP 2024

SambaLingo: Teaching Large Language Models New Languages EMNLP 2024

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023

Sparse Mixture-of-Experts are Domain Generalizable Learners ICLR 2023

On the Robustness of Safe Reinforcement Learning under Observational Perturbations ICLR 2023

Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation ICLR 2023

Measure the Predictive Heterogeneity ICLR 2023

DensePure: Understanding Diffusion Models for Adversarial Robustness ICLR 2023

Content-based Unrestricted Adversarial Attack NIPS 2023

CBD: A Certified Backdoor Detector Based on Local Dominant Probability NIPS 2023

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference NIPS 2023

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI NIPS 2023

Graph Transformer GANs for Graph-Constrained House Generation CVPR 2023

PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification CVPR 2023

On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023

TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023

Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition CVPR 2023

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds CVPR 2023

BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models CVPR 2023

Panoptic Video Scene Graph Generation CVPR 2023

Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval CVPR 2023

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study EMNLP 2023

Can Brain Signals Reveal Inner Alignment with Human Languages? EMNLP 2023

Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders EMNLP 2023

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning EMNLP 2023

LRRU: Long-short Range Recurrent Updating Networks for Depth Completion ICCV 2023

SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment ACL 2023

Class Lifelong Learning for Intent Detection via Structure Consolidation Networks ACL 2023

Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction AAAI 2023

Sequence Generation with Label Augmentation for Relation Extraction AAAI 2023

AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification ICCV 2023

Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents IJCAI 2023

Delving into the Adversarial Robustness of Federated Learning AAAI 2023

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation AAAI 2023

Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule AAAI 2023

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023

Factual Observation Based Heterogeneity Learning for Counterfactual Prediction CLEAR 2023

Logic and Commonsense-Guided Temporal Knowledge Graph Completion AAAI 2023

Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations AAAI 2023

Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity AAAI 2023

Flor: An Open High Performance RDMA Framework Over Heterogeneous RNICs OSDI 2023

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits ICML 2023

How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH 2023

Speaker-aware Cross-modal Fusion Architecture for Conversational Emotion Recognition INTERSPEECH 2023

Mixture-of-Expert Conformer for Streaming Multilingual ASR INTERSPEECH 2023

Modular Domain Adaptation for Conformer-Based Streaming ASR INTERSPEECH 2023

DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification NIPS 2023

Large Language Models are Visual Reasoning Coordinators NIPS 2023

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand NIPS 2023

Fair Allocation of Indivisible Chores: Beyond Additive Costs NIPS 2023

FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning NIPS 2023

An Inductive Bias for Tabular Deep Learning NIPS 2023

Optimized Covariance Design for AB Test on Social Network under Interference NIPS 2023

UMD: Unsupervised Model Detection for X2X Backdoor Attacks ICML 2023

Stable Estimation of Heterogeneous Treatment Effects ICML 2023

Reconstructive Neuron Pruning for Backdoor Defense ICML 2023

Efficient Decision-based Black-box Patch Attacks on Video Recognition ICCV 2023

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023

Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization NIPS 2023

Continuous Parametric Optical Flow NIPS 2023

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data NIPS 2023

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection CVPR 2022

General Cutting Planes for Bound-Propagation-Based Neural Network Verification NIPS 2022

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NIPS 2022

Fairness in Federated Learning via Core-Stability NIPS 2022

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection NIPS 2022

Exact Shape Correspondence via 2D graph convolution NIPS 2022

LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NIPS 2022

AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies NIPS 2022

DENSE: Data-Free One-Shot Federated Learning NIPS 2022

Product Ranking for Revenue Maximization with Multiple Purchases NIPS 2022

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles NIPS 2022

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022

CoPur: Certifiably Robust Collaborative Inference via Feature Purification NIPS 2022

Certifying Some Distributional Fairness with Subpopulation Decomposition NIPS 2022

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NIPS 2022

Distributionally Robust Optimization with Data Geometry NIPS 2022

Improving Certified Robustness via Statistical Learning with Logical Reasoning NIPS 2022

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models NIPS 2022

CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation CORL 2022

Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification AAAI 2022

Invariant Information Bottleneck for Domain Generalization AAAI 2022

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion ACL 2022

Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference COLING 2022

Detecting Camouflaged Object in Frequency Domain CVPR 2022

PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022

Unsupervised Learning of Accurate Siamese Tracking CVPR 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection CVPR 2022

Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022

Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022

Cross Domain Object Detection by Target-Perceived Dual Branch Distillation CVPR 2022

Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022

Efficient Multi-View Stereo by Iterative Dynamic Cost Volume CVPR 2022

Shape Matters: Deformable Patch Attack ECCV 2022

SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination ECCV 2022

Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking ECCV 2022

Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation ECCV 2022

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing ICLR 2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks ICLR 2022

On the Certified Robustness for Ensemble Models and Beyond ICLR 2022

TPC: Transformation-Specific Smoothing for Point Cloud Models ICML 2022

Double Sampling Randomized Smoothing ICML 2022

Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022

How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection ICML 2022

Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond ICML 2022

Provable Domain Generalization via Invariant-Feature Subspace Recovery ICML 2022

Certifying Out-of-Domain Generalization for Blackbox Functions ICML 2022

Instrumental Variable Regression with Confounder Balancing ICML 2022

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization ICML 2022

Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022

Counterfactual Prediction for Outcome-Oriented Treatments ICML 2022

Bayesian Auctions with Efficient Queries (Extended Abstract) IJCAI 2022

Turn-Taking Prediction for Natural Conversational Speech INTERSPEECH 2022

Streaming Intended Query Detection using E2E Modeling for Continued Conversation INTERSPEECH 2022

A Language Agnostic Multilingual Streaming On-Device ASR System INTERSPEECH 2022

Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification INTERSPEECH 2022

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction MLHC 2022

SemAttack: Natural Textual Attacks via Different Semantic Spaces NAACL 2022

Perturbation type categorization for multiple adversarial perturbation robustness UAI 2022

Self-Supervised Pretraining Improves Self-Supervised Pretraining WACV 2022

Multi-Branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions WACV 2022

Disentangled High Quality Salient Object Detection ICCV 2021

Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation IJCNLP 2021

Stable Adversarial Learning under Distributional Shifts AAAI 2021

Multi-view Inference for Relation Extraction with Uncertain Knowledge AAAI 2021

Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation ACL 2021

Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NIPS 2021

Mechanism Design for Facility Location Problems: A Survey IJCAI 2021

MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning IJCAI 2021

Rescuing Deep Hashing from Dead Bits Problem IJCAI 2021

Budget-feasible Maximum Nash Social Welfare is Almost Envy-free IJCAI 2021

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration ICCV 2021

Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021

Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021

When Cloud Storage Meets RDMA NSDI 2021

Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings? ICCV 2021

Fair Scheduling for Time-dependent Resources NIPS 2021

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective ICLR 2021

Approximate Group Fairness for Clustering ICML 2021

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks ICLR 2021

Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling ICLR 2021

FILTRA: Rethinking Steerable CNN by Filter Transform ICML 2021

Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability ICML 2021

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators NIPS 2021

Anti-Backdoor Learning: Training Clean Models on Poisoned Data NIPS 2021

Adversarial Attack Generation Empowered by Min-Max Optimization NIPS 2021

Heterogeneous Risk Minimization ICML 2021

Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NIPS 2021

Residual Energy-Based Models for End-to-End Speech Recognition INTERSPEECH 2021

An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling INTERSPEECH 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation AAAI 2021

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021

UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification CVPR 2021

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021

Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021

Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021

Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness EMNLP 2021

Adversarial Mutual Information for Text Generation ICML 2020

Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States AAAI 2020

On Convergence of Nearest Neighbor Classifiers over Feature Transformations NIPS 2020

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding EMNLP 2020

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack EMNLP 2020

SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing ECCV 2020

Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants ECCV 2020

A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension CVPR 2020

Referring Image Segmentation via Cross-Modal Progressive Comprehension CVPR 2020

Controllable Orthogonalization in Training DNNs CVPR 2020

QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks CVPR 2020

Graph Enhanced Dual Attention Network for Document-Level Relation Extraction COLING 2020

Neural Zero-Inflated Quality Estimation Model for Automatic Speech Recognition System INTERSPEECH 2020

Low Latency Speech Recognition Using End-to-End Prefetching INTERSPEECH 2020

Improved Noisy Student Training for Automatic Speech Recognition INTERSPEECH 2020

Single Camera Training for Person Re-Identification AAAI 2020

Frame-Guided Region-Aligned Representation for Video Person Re-Identification AAAI 2020

Reinforcement Learning with Perturbed Rewards AAAI 2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020

Rule-Guided Compositional Representation Learning on Knowledge Graphs AAAI 2020

Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives AAAI 2020

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NIPS 2020

Counterfactual Prediction for Bundle Treatment NIPS 2020

DBA: Distributed Backdoor Attacks against Federated Learning ICLR 2020

Towards Stable and Efficient Training of Verifiably Robust Neural Networks ICLR 2020

Efficient Probabilistic Logic Reasoning with Graph Neural Networks ICLR 2020

Unrestricted Adversarial Examples via Semantic Manipulation ICLR 2020

Improving Robustness of Deep-Learning-Based Image Reconstruction ICML 2020

Nuclei segmentation by using convolutional network with distance map and contour information ACML 2019

SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks CVPR 2019

Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data ACL 2019

Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network IJCAI 2019

MeshAdv: Adversarial Meshes for Visual Recognition CVPR 2019

Deep Incremental Hashing Network for Efficient Image Retrieval CVPR 2019

Approximately Maximizing the Broker's Profit in a Two-sided Market IJCAI 2019

Generating 3D Adversarial Point Clouds CVPR 2019

Maximin-Aware Allocations of Indivisible Goods IJCAI 2019

Community Focusing: Yet Another Query-Dependent Community Detection AAAI 2019

Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019

Strategyproof and Approximately Maxmin Fair Share Allocation of Chores IJCAI 2019

Weighted Maxmin Fair Share Allocation of Indivisible Chores IJCAI 2019

Towards Efficient Data Valuation Based on the Shapley Value AISTATS 2019

PointCloud Saliency Maps ICCV 2019

Multi-source Domain Adaptation for Semantic Segmentation NIPS 2019

AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos ICCV 2019

Group-Wise Deep Object Co-Segmentation With Co-Attention Recurrent Neural Network ICCV 2019

“Bilingual Expert” Can Find Translation Errors AAAI 2019

Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space IJCAI 2019

Shallow-Fusion End-to-End Contextual Biasing INTERSPEECH 2019

SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection AAAI 2019

Robust Inference via Generative Classifiers for Handling Noisy Labels ICML 2019

Characterizing Audio Adversarial Examples Using Temporal Dependency ICLR 2019

Robust Physical-World Attacks on Deep Learning Visual Classification CVPR 2018

Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition INTERSPEECH 2018

Distractor-aware Siamese Networks for Visual Object Tracking ECCV 2018

Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms ECCV 2018

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation ECCV 2018

Learning Neural Representation for CLIR with Adversarial Framework EMNLP 2018

Alibaba Speech Translation Systems for IWSLT 2018 EMNLP 2018

Alibaba Submission for WMT18 Quality Estimation Task EMNLP 2018

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ICLR 2018

Spatially Transformed Adversarial Examples ICLR 2018

Decision Boundary Analysis of Adversarial Examples ICLR 2018

Joint Learning from Labeled and Unlabeled Data for Information Retrieval COLING 2018

Dynamic Fair Division Problem with General Valuations IJCAI 2018

Generating Adversarial Examples with Adversarial Networks IJCAI 2018

High Performance Visual Tracking With Siamese Region Proposal Network CVPR 2018

Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs IJCAI 2017

A Comparison of Sequence-to-Sequence Models for Speech Recognition INTERSPEECH 2017

Multi-View 3D Object Detection Network for Autonomous Driving CVPR 2017

Reducing the Computational Complexity of Two-Dimensional LSTMs INTERSPEECH 2017

An Analysis of “Attention” in Sequence-to-Sequence Models INTERSPEECH 2017

Endpoint Detection Using Grid Long Short-Term Memory Networks for Streaming Speech Recognition INTERSPEECH 2017

Acoustic Modeling for Google Home INTERSPEECH 2017

Data Poisoning Attacks on Factorization-Based Collaborative Filtering NIPS 2016

Vehicle Detection from 3D Lidar Using Fully Convolutional Network RSS 2016

Multi-Language Multi-Speaker Acoustic Modeling for LSTM-RNN Based Statistical Parametric Speech Synthesis INTERSPEECH 2016

Recognizing Car Fluents From Video CVPR 2016

Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition INTERSPEECH 2016

Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks INTERSPEECH 2016

Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings AISTATS 2015

Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs CVPR 2015

Feature Cross-Substitution in Adversarial Classification NIPS 2014

Modeling Occlusion by Discriminative AND-OR Structures ICCV 2013

Clustering Comparable Corpora For Bilingual Lexicon Extraction ACL 2011

Improving Corpus Comparability for Bilingual Lexicon Extraction from Comparable Corpora COLING 2010

Mining Chinese-English Parallel Corpora from the Web IJCNLP 2008