Jing Yang

Reinforcement Learning for Diffusion LLMs via Energy-Based Gibbs Alignment ACL 2026 Multi-Metric Preference Alignment for Generative Speech Restoration AAAI 2026 DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts AAAI 2026 HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution AAAI 2026 Cost-Effective Communication: An Auction-based Method for Language Agent Interaction AAAI 2026 Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation AAAI 2026 Top-Down Semantic Refinement for Image Captioning AAAI 2026 3DAlign-DAER: Dynamic Attention Policy and Efficient Retrieval Strategy for Fine-grained 3D-Text Alignment at Scale AAAI 2026 Persona Prompting as a Lens on LLM Social Reasoning EACL 2026 RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability AAAI 2026 Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping ICLR 2025 MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction ICLR 2025 Exploring Semantic Filtering Heuristics For Efficient Claim Verification ACL 2025 Comparing LLMs and BERT-based Classifiers for Resource-Sensitive Claim Verification in Social Media ACL 2025 A Shared Low-Rank Adaptation Approach to Personalized RLHF AISTATS 2025 Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process ICML 2025 Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis UAI 2025 Dissecting and Streamlining the Interactive Loop of Mobile Cloud Gaming NSDI 2025 Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning MICCAI 2025 On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures ICML 2025 Exploiting Temporal State Space Sharing for Video Semantic Segmentation CVPR 2025 CCG: Rare-Label Prediction via Neural SEM–Driven Causal Game EMNLP 2025 Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media EMNLP 2025 Exploring Large Language Models’ World Perception: A Multi-Dimensional Evaluation through Data Distribution EMNLP 2025 Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning ICLR 2025 Pretrained Reversible Generation as Unsupervised Visual Representation Learning ICCV 2025 HUST: High-Fidelity Unbiased Skin Tone Estimation via Texture Quantization ICCV 2025 Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations ICCV 2025 Localized Gaussian Splatting Editing with Contextual Awareness WACV 2025 On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery ICLR 2025 Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function ICML 2025 How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias ICML 2025 Federated Representation Learning in the Under-Parameterized Regime ICML 2024 Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NIPS 2024 PMET: Precise Model Editing in a Transformer AAAI 2024 Non-asymptotic Convergence of Training Transformers for Next-token Prediction NIPS 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification NIPS 2024 Rethinking Word-level Adversarial Attack: The Trade-off between Efficiency, Effectiveness, and Imperceptibility COLING 2024 Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups NIPS 2024 DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis CVPR 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ICLR 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Provably Efficient UCB-type Algorithms For Learning Predictive State Representations ICLR 2024 Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games ICML 2024 Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints ICML 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NIPS 2023 FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection WACV 2023 ALIP: Adaptive Language-Image Pre-Training with Synthetic Caption ICCV 2023 Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack ACL 2023 Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 Non-stationary Reinforcement Learning under General Function Approximation ICML 2023 Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023 Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL ICLR 2023 Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs ICLR 2023 Unicom: Universal and Compact Representation Learning for Image Retrieval ICLR 2023 Light Sampling Field and BRDF Representation for Physically-based Neural Rendering ICLR 2023 Pre-training Strategies and Datasets for Facial Representation Learning ECCV 2022 Provable Benefit of Multitask Representation Learning in Reinforcement Learning NIPS 2022 Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing AAAI 2022 The USTC-NELSLIP Offline Speech Translation Systems for IWSLT 2022 ACL 2022 Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes COLING 2022 PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks COLING 2022 Killing Two Birds With One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC CVPR 2022 Federated Linear Contextual Bandits NIPS 2021 Knowledge distillation via softmax regression representation learning ICLR 2021 Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NIPS 2021 Variational Prototype Learning for Deep Face Recognition CVPR 2021 Federated Multi-armed Bandits with Personalization AISTATS 2021 Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021 FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition AAAI 2020 CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory AAAI 2020 Stochastic Linear Contextual Bandits with Diverse Contexts AISTATS 2020 Decentralized Multi-player Multi-armed Bandits with No Collision Information AISTATS 2020 Training binary neural networks with real-to-binary convolutions ICLR 2020 To learn image super-resolution, use a GAN to learn how to do image degradation first ECCV 2018 Cost-aware Cascading Bandits IJCAI 2018 On the Duration of Mandarin Tones INTERSPEECH 2017