← Authors

Jing Yang

77 papers · 2017–2026 · 18 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (17) πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (104) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (5) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (68) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (290) ⚑ Prolific Year (12) πŸ”₯ Unstoppable (6)

Conferences

ICLR (13) AAAI (13) ICML (10) NIPS (8) ACL (5) CVPR (4) ICCV (4) AISTATS (4) EMNLP (3) COLING (3) ECCV (2) WACV (2) EACL (1) IJCAI (1) INTERSPEECH (1) MICCAI (1) NSDI (1) UAI (1)

Top co-authors

Cong Shen (16) Ruiquan Huang (12) Yingbin Liang (10) Chengshuai Shi (7) Keze Wang (6) Jusheng Zhang (6) Kaitong Cai (5) Georgios Tzimiropoulos (5) Jiankang Deng (5) Adrian Bulat (5)

Research topics

Differential Privacy (1)

Keywords

regret bound (7) multi-armed bandit (6) federated learning (4) large language model (4) representation learning (4) reinforcement learning (3) contrastive learning (3) face recognition (3) contextual bandit (3) in-context learning (3) linear contextual bandit (3) few-shot learning (3) multimodal learning (3) metric learning (2) monte carlo tree search (2) generative model (2) sample efficiency (2) feature embedding (2) neural network optimization (2) claim verification (2)

Papers

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