Bo Li

GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging AAAI 2026 Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks ACL 2026 Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning ACL 2026 Video-MMMU: Evaluating Knowledge Acquisition from Multidisciplinary Professional Videos ACL 2026 Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM Sycophancy ACL 2026 MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference ACL 2026 Instruction Data Selection via Answer Divergence ACL 2026 Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning ACL 2026 MMSearch-R1: Incentivizing LMMs to Search ACL 2026 Uncovering and Aligning Anomalous Attention Heads to Defend Against NLP Backdoor Attacks AAAI 2026 Information Elicitation Mechanisms for Bayesian Auctions (Abstract Reprint) AAAI 2026 Intention Knowledge Graph Construction for User Intention Relation Modeling EACL 2026 MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization AAAI 2026 Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving AAAI 2026 Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation AAAI 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 Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG AAAI 2026 Diversity-Enhanced Distribution Alignment for Dataset Distillation ICCV 2025 SDMatte: Grafting Diffusion Models for Interactive Matting ICCV 2025 Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing IJCAI 2025 EgoLife: Towards Egocentric Life Assistant CVPR 2025 GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping CVPR 2025 ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning ICCV 2025 LGA-Net: Learning Local and Global Affinities for Sparse Scribble based Image Colorization ICCV 2025 MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration ICCV 2025 Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025 Diagram-Driven Course Questions Generation EMNLP 2025 VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search EMNLP 2025 SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models ICML 2025 UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning ICML 2025 OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance ICML 2025 Learning Adaptive Lighting via Channel-Aware Guidance ICML 2025 Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources ICML 2025 AdvAgent: Controllable Blackbox Red-teaming on Web Agents ICML 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning ICML 2025 Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning ICML 2025 Reliable and Efficient Amortized Model-based Evaluation ICML 2025 Settling the Maximin Share Fairness for Scheduling among Groups of Machines ICML 2025 Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression ICML 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models ICML 2025 ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning ICML 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 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 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 Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 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 LIME: Less Is More for MLLM Evaluation ACL 2025 SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities ACL 2025 Can LLMs Recognize Their Own Analogical Hallucinations? Evaluating Uncertainty Estimation for Analogical Reasoning ACL 2025 Meetalk: Retrieval-Augmented and Adaptively Personalized Meeting Summarization with Knowledge Learning from User Corrections ACL 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 MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation COLING 2025 Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity COLT 2025 LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models ICLR 2025 EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE ICLR 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 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 Tamper-Resistant Safeguards for Open-Weight LLMs ICLR 2025 $R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning ICLR 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 SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations ICLR 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 Large Multi-modal Models Can Interpret Features in Large Multi-modal Models ICCV 2025 Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR 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 COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits ICLR 2024 Enhancing Distributional Stability among Sub-populations AISTATS 2024 BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models ICLR 2024 Certifiably Byzantine-Robust Federated Conformal Prediction ICML 2024 C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models ICML 2024 Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging EMNLP 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 Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge EMNLP 2024 SambaLingo: Teaching Large Language Models New Languages EMNLP 2024 MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos CVPR 2024 ASAM: Boosting Segment Anything Model with Adversarial Tuning CVPR 2024 Improving Depth Completion via Depth Feature Upsampling CVPR 2024 Multi-Task Dense Prediction via Mixture of Low-Rank Experts CVPR 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 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 RedCode: Risky Code Execution and Generation Benchmark for Code Agents 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 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 Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio IJCAI 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 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression ICML 2024 Gradual Domain Adaptation: Theory and Algorithms JMLR 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 Improving Adversarial Energy-Based Model via Diffusion Process ICML 2024 Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024 Effective and Efficient Federated Tree Learning on Hybrid Data ICLR 2024 Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024 Revisiting Single Image Reflection Removal In the Wild CVPR 2024 ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles CVPR 2024 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer ICLR 2024 HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding ICML 2024 GRATH: Gradual Self-Truthifying for Large Language Models ICML 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 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 An improved analysis of per-sample and per-update clipping in federated learning ICLR 2024 Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning EMNLP 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 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 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023 Optimized Covariance Design for AB Test on Social Network under Interference NIPS 2023 An Inductive Bias for Tabular Deep Learning NIPS 2023 Content-based Unrestricted Adversarial Attack NIPS 2023 FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning NIPS 2023 Fair Allocation of Indivisible Chores: Beyond Additive Costs NIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand NIPS 2023 Large Language Models are Visual Reasoning Coordinators NIPS 2023 DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification NIPS 2023 Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity AAAI 2023 Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations AAAI 2023 Logic and Commonsense-Guided Temporal Knowledge Graph Completion AAAI 2023 Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule AAAI 2023 Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation AAAI 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 Sequence Generation with Label Augmentation for Relation Extraction AAAI 2023 Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction AAAI 2023 Class Lifelong Learning for Intent Detection via Structure Consolidation Networks ACL 2023 SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment ACL 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023 Factual Observation Based Heterogeneity Learning for Counterfactual Prediction CLEAR 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 AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification ICCV 2023 LRRU: Long-short Range Recurrent Updating Networks for Depth Completion ICCV 2023 Efficient Decision-based Black-box Patch Attacks on Video Recognition ICCV 2023 DensePure: Understanding Diffusion Models for Adversarial Robustness ICLR 2023 Measure the Predictive Heterogeneity ICLR 2023 Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation ICLR 2023 On the Robustness of Safe Reinforcement Learning under Observational Perturbations ICLR 2023 Sparse Mixture-of-Experts are Domain Generalizable Learners ICLR 2023 Reconstructive Neuron Pruning for Backdoor Defense ICML 2023 Stable Estimation of Heterogeneous Treatment Effects ICML 2023 UMD: Unsupervised Model Detection for X2X Backdoor Attacks ICML 2023 Competing for Shareable Arms in Multi-Player Multi-Armed Bandits ICML 2023 Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents IJCAI 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 Flor: An Open High Performance RDMA Framework Over Heterogeneous RNICs OSDI 2023 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 AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies NIPS 2022 Efficient Multi-View Stereo by Iterative Dynamic Cost Volume CVPR 2022 Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022 Cross Domain Object Detection by Target-Perceived Dual Branch Distillation CVPR 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 LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NIPS 2022 Exact Shape Correspondence via 2D graph convolution NIPS 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection NIPS 2022 Fairness in Federated Learning via Core-Stability NIPS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NIPS 2022 Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022 Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Equalized Focal Loss for Dense Long-Tailed Object Detection CVPR 2022 Unsupervised Learning of Accurate Siamese Tracking CVPR 2022 PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022 Detecting Camouflaged Object in Frequency Domain CVPR 2022 Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection CVPR 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 General Cutting Planes for Bound-Propagation-Based Neural Network Verification NIPS 2022 Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference COLING 2022 CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion ACL 2022 Invariant Information Bottleneck for Domain Generalization AAAI 2022 Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification AAAI 2022 Bayesian Auctions with Efficient Queries (Extended Abstract) IJCAI 2022 CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation CORL 2022 Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models NIPS 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning NIPS 2022 Distributionally Robust Optimization with Data Geometry NIPS 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 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NIPS 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition NIPS 2022 GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction MLHC 2022 SemAttack: Natural Textual Attacks via Different Semantic Spaces NAACL 2022 CoPur: Certifiably Robust Collaborative Inference via Feature Purification NIPS 2022 Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022 SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles NIPS 2022 Product Ranking for Revenue Maximization with Multiple Purchases NIPS 2022 DENSE: Data-Free One-Shot Federated Learning NIPS 2022 Perturbation type categorization for multiple adversarial perturbation robustness UAI 2022 Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation ECCV 2022 Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking ECCV 2022 SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination ECCV 2022 Shape Matters: Deformable Patch Attack ECCV 2022 Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability ICML 2021 FILTRA: Rethinking Steerable CNN by Filter Transform ICML 2021 Disentangled High Quality Salient Object Detection ICCV 2021 Energy-Based Open-World Uncertainty Modeling for Confidence Calibration ICCV 2021 Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings? ICCV 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021 Fair Scheduling for Time-dependent Resources NIPS 2021 Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness EMNLP 2021 Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation IJCNLP 2021 G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators 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 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NIPS 2021 TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NIPS 2021 Adversarial Attack Generation Empowered by Min-Max Optimization NIPS 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data NIPS 2021 Approximate Group Fairness for Clustering ICML 2021 Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021 CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021 Heterogeneous Risk Minimization ICML 2021 UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification CVPR 2021 Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 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 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation ACL 2021 Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling ICLR 2021 Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks ICLR 2021 When Cloud Storage Meets RDMA NSDI 2021 InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective ICLR 2021 Multi-view Inference for Relation Extraction with Uncertain Knowledge AAAI 2021 Stable Adversarial Learning under Distributional Shifts AAAI 2021 ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation AAAI 2021 Low Latency Speech Recognition Using End-to-End Prefetching INTERSPEECH 2020 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NIPS 2020 Counterfactual Prediction for Bundle Treatment NIPS 2020 On Convergence of Nearest Neighbor Classifiers over Feature Transformations NIPS 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 Graph Enhanced Dual Attention Network for Document-Level Relation Extraction COLING 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 Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States AAAI 2020 T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack EMNLP 2020 AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding EMNLP 2020 Unrestricted Adversarial Examples via Semantic Manipulation ICLR 2020 Efficient Probabilistic Logic Reasoning with Graph Neural Networks ICLR 2020 Towards Stable and Efficient Training of Verifiably Robust Neural Networks ICLR 2020 DBA: Distributed Backdoor Attacks against Federated Learning ICLR 2020 Neural Zero-Inflated Quality Estimation Model for Automatic Speech Recognition System INTERSPEECH 2020 Improved Noisy Student Training for Automatic Speech Recognition INTERSPEECH 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 Adversarial Mutual Information for Text Generation ICML 2020 Improving Robustness of Deep-Learning-Based Image Reconstruction ICML 2020 Approximately Maximizing the Broker's Profit in a Two-sided Market IJCAI 2019 SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection AAAI 2019 Shallow-Fusion End-to-End Contextual Biasing INTERSPEECH 2019 Deep Incremental Hashing Network for Efficient Image Retrieval CVPR 2019 Generating 3D Adversarial Point Clouds CVPR 2019 AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos ICCV 2019 Nuclei segmentation by using convolutional network with distance map and contour information ACML 2019 Multi-source Domain Adaptation for Semantic Segmentation NIPS 2019 Group-Wise Deep Object Co-Segmentation With Co-Attention Recurrent Neural Network ICCV 2019 Towards Efficient Data Valuation Based on the Shapley Value AISTATS 2019 MeshAdv: Adversarial Meshes for Visual Recognition CVPR 2019 Characterizing Audio Adversarial Examples Using Temporal Dependency ICLR 2019 Community Focusing: Yet Another Query-Dependent Community Detection AAAI 2019 SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks CVPR 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019 Robust Inference via Generative Classifiers for Handling Noisy Labels ICML 2019 PointCloud Saliency Maps ICCV 2019 “Bilingual Expert” Can Find Translation Errors AAAI 2019 Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data ACL 2019 Weighted Maxmin Fair Share Allocation of Indivisible Chores IJCAI 2019 Strategyproof and Approximately Maxmin Fair Share Allocation of Chores IJCAI 2019 Maximin-Aware Allocations of Indivisible Goods IJCAI 2019 Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space IJCAI 2019 Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network IJCAI 2019 Joint Learning from Labeled and Unlabeled Data for Information Retrieval COLING 2018 Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation ECCV 2018 Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms ECCV 2018 Distractor-aware Siamese Networks for Visual Object Tracking ECCV 2018 Decision Boundary Analysis of Adversarial Examples ICLR 2018 Spatially Transformed Adversarial Examples ICLR 2018 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ICLR 2018 High Performance Visual Tracking With Siamese Region Proposal Network CVPR 2018 Robust Physical-World Attacks on Deep Learning Visual Classification CVPR 2018 Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition INTERSPEECH 2018 Learning Neural Representation for CLIR with Adversarial Framework EMNLP 2018 Generating Adversarial Examples with Adversarial Networks IJCAI 2018 Alibaba Speech Translation Systems for IWSLT 2018 EMNLP 2018 Dynamic Fair Division Problem with General Valuations IJCAI 2018 Alibaba Submission for WMT18 Quality Estimation Task EMNLP 2018 Reducing the Computational Complexity of Two-Dimensional LSTMs INTERSPEECH 2017 Multi-View 3D Object Detection Network for Autonomous Driving CVPR 2017 Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs IJCAI 2017 Acoustic Modeling for Google Home INTERSPEECH 2017 A Comparison of Sequence-to-Sequence Models for Speech Recognition INTERSPEECH 2017 Endpoint Detection Using Grid Long Short-Term Memory Networks for Streaming Speech Recognition INTERSPEECH 2017 An Analysis of “Attention” in Sequence-to-Sequence Models INTERSPEECH 2017 Recognizing Car Fluents From Video CVPR 2016 Multi-Language Multi-Speaker Acoustic Modeling for LSTM-RNN Based Statistical Parametric Speech Synthesis INTERSPEECH 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 Vehicle Detection from 3D Lidar Using Fully Convolutional Network RSS 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NIPS 2016 Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs CVPR 2015 Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings AISTATS 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