Ting Chen

48 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌍 Conference Polyglot (13) 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (4)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (4) 🏃 Academic Marathon (12) 🌟 Keyword Trendsetter Combo (5) 👑 Triple Crown 🏆 Grand Slam 💎 Century Club (47) 🚀 Conference Pioneer 📈 Trend Setter ⚡ Prolific Year (9) 🗃️ Keyword Collector (188) ❓ The Questioner 🔥 Unstoppable (8)

Conferences

NIPS (10) AAAI (7) ICLR (7) ICML (5) IJCAI (4) CVPR (3) EMNLP (3) ACL (2) ICCV (2) INTERSPEECH (2) IJCNLP (1) NAACL (1) OSDI (1)

Top co-authors

Yizhou Sun (5) Lala Li (5) Simon Kornblith (5) Geoffrey Hinton (4) Mohammad Norouzi (4) Han Zhang (3) Huaixiao Tou (3) Saurabh Saxena (3) zhongyu wei (3) Shiyu Huang (3)

Keywords

contrastive learning (7) self-supervised learning (7) representation learning (6) data augmentation (3) multi-task learning (3) generative adversarial network (3) graph neural network (3) prompt learning (2) semi-supervised learning (2) diffusion model (2) image classification (2) vision transformer (2) domain adaptation (2) instance segmentation (2) semantic segmentation (2) object detection (2) unsupervised learning (2) image generation (2) few-shot learning (2) graph representation learning (2)

Papers

RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment AAAI 2026 HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning AAAI 2025 Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration AAAI 2025 Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection CVPR 2025 VividMed: Vision Language Model with Versatile Visual Grounding for Medicine NAACL 2025 CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction AAAI 2025 Improving Multilingual Text-to-Speech with Mixture-of-Language-Experts and Accent Disentanglement INTERSPEECH 2024 Denoising Autoregressive Representation Learning ICML 2024 μSlope: High Compression and Fast Search on Semi-Structured Logs OSDI 2024 DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024 Perceptual Group Tokenizer: Building Perception with Iterative Grouping ICLR 2024 Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning ICLR 2023 Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study EMNLP 2023 A Generalist Framework for Panoptic Segmentation of Images and Videos ICCV 2023 Scalable Adaptive Computation for Iterative Generation ICML 2023 DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection CVPR 2023 A Unified Sequence Interface for Vision Tasks NIPS 2022 Pix2seq: A Language Modeling Framework for Object Detection ICLR 2022 Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation NIPS 2022 Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding AAAI 2022 A compact transformer-based GAN vocoder INTERSPEECH 2022 Improved Transformer for High-Resolution GANs NIPS 2021 Improving Contrastive Learning on Imbalanced Data via Open-World Sampling NIPS 2021 Intriguing Properties of Contrastive Losses NIPS 2021 Why Do Better Loss Functions Lead to Less Transferable Features? NIPS 2021 MURAL: Multimodal, Multitask Representations Across Languages EMNLP 2021 Big Self-Supervised Models Advance Medical Image Classification ICCV 2021 Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction ICLR 2021 SVQN: Sequential Variational Soft Q-Learning Networks ICLR 2020 Robust Pre-Training by Adversarial Contrastive Learning NIPS 2020 A Simple Framework for Contrastive Learning of Visual Representations ICML 2020 Differentiable Product Quantization for End-to-End Embedding Compression ICML 2020 Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding IJCAI 2020 Graph Contrastive Learning with Augmentations NIPS 2020 Big Self-Supervised Models are Strong Semi-Supervised Learners NIPS 2020 The Origins and Prevalence of Texture Bias in Convolutional Neural Networks NIPS 2020 Understanding Why Neural Networks Generalize Well Through GSNR of Parameters ICLR 2020 Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019 Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph EMNLP 2019 Self-Supervised GANs via Auxiliary Rotation Loss CVPR 2019 Combo-Action: Training Agent For FPS Game with Auxiliary Tasks AAAI 2019 Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph IJCNLP 2019 Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity IJCAI 2019 On Self Modulation for Generative Adversarial Networks ICLR 2019 Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations ICML 2018 Task-oriented Dialogue System for Automatic Diagnosis ACL 2018 Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events IJCAI 2016 Social Influence Locality for Modeling Retweeting Behaviors IJCAI 2013