Tong Yang
33 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
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Cross-Pollinator
(10)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(52)
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
π
Triple Crown
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Grand Slam
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Century Club
(29)
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Conference Pioneer
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(112)
π₯
Unstoppable
(8)
Conferences
NIPS (7)
AAAI (5)
CVPR (4)
ICML (4)
ACL (3)
ICLR (3)
MICCAI (2)
RSS (2)
AISTATS (1)
NSDI (1)
UAI (1)
Top co-authors
Keywords
object detection
(8)
diffusion model
(3)
sketch algorithm
(2)
attention mechanism
(2)
coverage path planning
(2)
knowledge distillation
(2)
neural network optimization
(2)
neural network
(2)
semi-supervised learning
(1)
policy optimization
(1)
semantic segmentation
(1)
bayesian inference
(1)
scene understanding
(1)
graph theory
(1)
transformer architecture
(1)
non-convex optimization
(1)
temporal modeling
(1)
reinforcement learning
(1)
self-supervised learning
(1)
mathematical reasoning
(1)
Papers
Thinking with Reasoning Skills: Fewer Tokens, More Accuracy
ACL 2026
TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
ACL 2026
KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference
AAAI 2026
RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network
AAAI 2026
Continuous Semi-Implicit Models
ICML 2025
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
ICLR 2025
HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference
ACL 2025
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
AISTATS 2025
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
UAI 2025
Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
MICCAI 2025
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
ICML 2025
LAMP: Learn A Motion Pattern for Few-Shot Video Generation
CVPR 2024
Reflected Flow Matching
ICML 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
NIPS 2024
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
NIPS 2024
Cephalometric Landmark Detection across Ages with Prototypical Network
MICCAI 2024
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
ICLR 2024
Optimal Non-Redundant Manipulator Surface Coverage with Rank-Deficient Manipulability Constraints
RSS 2024
LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
NIPS 2024
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
ICLR 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
NIPS 2023
Slot-guided Volumetric Object Radiance Fields
NIPS 2023
Optimization for Amortized Inverse Problems
ICML 2023
Anchor DETR: Query Design for Transformer-Based Detector
AAAI 2022
LGD: Label-Guided Self-Distillation for Object Detection
AAAI 2022
LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using Sketchlets
NSDI 2021
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
AAAI 2021
Points As Queries: Weakly Semi-Supervised Object Detection by Points
CVPR 2021
You Only Look One-Level Feature
CVPR 2021
Learning Human-Object Interaction Detection Using Interaction Points
CVPR 2020
Non-revisiting Coverage Task with Minimal Discontinuities for Non-redundant Manipulators
RSS 2020
DetNAS: Backbone Search for Object Detection
NIPS 2019
MetaAnchor: Learning to Detect Objects with Customized Anchors
NIPS 2018