Jiawei Zhang

Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation EACL 2026 DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs ACL 2026 SparseSurf: Sparse-View 3D Gaussian Splatting for Surface Reconstruction AAAI 2026 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models ICLR 2025 Event-guided HDR Reconstruction with Diffusion Priors ICCV 2025 DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution ICCV 2025 GSV3D: Gaussian Splatting-based Geometric Distillation with Stable Video Diffusion for Single-Image 3D Object Generation ICCV 2025 TeRA: Rethinking Text-guided Realistic 3D Avatar Generation ICCV 2025 CoTD-PO: Chain-of-Thought Distillation with Preference Optimization EMNLP 2025 Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction EMNLP 2025 Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability ICML 2025 Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints ICML 2025 A Diffusion-Based Framework for Occluded Object Movement AAAI 2025 DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts AAAI 2025 FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles AAAI 2025 Rethinking Time Encoding via Learnable Transformation Functions ICML 2025 FATE: Full-head Gaussian Avatar with Textural Editing from Monocular Video CVPR 2025 SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models ICML 2025 Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach ICML 2025 InsTaG: Learning Personalized 3D Talking Head from Few-Second Video CVPR 2025 AdvAgent: Controllable Blackbox Red-teaming on Web Agents ICML 2025 UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning ICML 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning ICML 2025 EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE ICLR 2025 DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization CVPR 2024 Robust Synthetic-to-Real Transfer for Stereo Matching CVPR 2024 CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization ECCV 2024 Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems NIPS 2024 Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs ACL 2024 Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmark ACL 2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024 Unveiling the Magic: Investigating Attention Distillation in Retrieval-Augmented Generation NAACL 2024 Uniformly Stable Algorithms for Adversarial Training and Beyond ICML 2024 A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback ICML 2024 TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting ECCV 2024 ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles CVPR 2024 Diffusion-based Blind Text Image Super-Resolution CVPR 2024 Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis ICCV 2023 Unsupervised Multi-document Summarization with Holistic Inference AACL 2023 DiffuSum: Generation Enhanced Extractive Summarization with Diffusion ACL 2023 Contrastive Hierarchical Discourse Graph for Scientific Document Summarization ACL 2023 Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise COLT 2023 Extractive Summarization via ChatGPT for Faithful Summary Generation EMNLP 2023 SummIt: Iterative Text Summarization via ChatGPT EMNLP 2023 HumanMAC: Masked Motion Completion for Human Motion Prediction ICCV 2023 Pruning Deep Neural Networks from a Sparsity Perspective ICLR 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Unsupervised Multi-document Summarization with Holistic Inference IJCNLP 2023 Improving Certified Robustness via Statistical Learning with Logical Reasoning NIPS 2022 Double Sampling Randomized Smoothing ICML 2022 RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs CVPR 2022 Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective CVPR 2022 What is a Good Metric to Study Generalization of Minimax Learners? NIPS 2022 HEGEL: Hypergraph Transformer for Long Document Summarization EMNLP 2022 A Self-Supervised Mixed-Curvature Graph Neural Network AAAI 2022 Learning a Non-Blind Deblurring Network for Night Blurry Images CVPR 2021 Blind Deblurring for Saturated Images CVPR 2021 Efficient Deep Image Denoising via Class Specific Convolution AAAI 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work NIPS 2021 Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021 Learning RAW-to-sRGB Mappings With Inaccurately Aligned Supervision ICCV 2021 Deep Blind Video Super-Resolution ICCV 2021 Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification ICCV 2021 Attention-based Multi-level Feature Fusion for Named Entity Recognition IJCAI 2020 Cross-Scale Internal Graph Neural Network for Image Super-Resolution NIPS 2020 Learning a Reinforced Agent for Flexible Exposure Bracketing Selection CVPR 2020 Visually Imbalanced Stereo Matching CVPR 2020 Self-Guided Novel View Synthesis via Elastic Displacement Network WACV 2020 A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems NIPS 2020 Learning to Deblur Face Images via Sketch Synthesis AAAI 2020 Learning Signed Network Embedding via Graph Attention AAAI 2020 BANANA: when Behavior ANAlysis meets social Network Alignment IJCAI 2020 Learning Event-Driven Video Deblurring and Interpolation ECCV 2020 OID: Outlier Identifying and Discarding in Blind Image Deblurring ECCV 2020 EfficientFCN: Holistically-guided Decoding for Semantic Segmentation ECCV 2020 Text Graph Transformer for Document Classification EMNLP 2020 Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae ACL 2019 Spatio-Temporal Filter Adaptive Network for Video Deblurring ICCV 2019 Learning Network Embedding with Community Structural Information IJCAI 2019 DAVANet: Stereo Deblurring With View Aggregation CVPR 2019 Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification ECCV 2018 Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation NIPS 2018 Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach IJCAI 2018 Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks CVPR 2018 Learning Dual Convolutional Neural Networks for Low-Level Vision CVPR 2018 Gated Fusion Network for Single Image Dehazing CVPR 2018 Learning to Hallucinate Face Images via Component Generation and Enhancement IJCAI 2017 Fast Preprocessing for Robust Face Sketch Synthesis IJCAI 2017 CREST: Convolutional Residual Learning for Visual Tracking ICCV 2017 Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution CVPR 2017 Integrated Anchor and Social Link Predictions across Social Networks IJCAI 2015