Tianyi Zhang

62 papers · 2019–2026 · 20 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (20) 🏃 Academic Marathon (6) 🗺️ Taxonomy Completionist (102) 🧬 Topic Evolution 🏆 Grand Slam 🏆 Keyword Champion (2) 👥 Mega-Team (20) 🗃️ Keyword Collector (268) ⚡ Prolific Year (16) 🚀 Conference Pioneer 💎 Century Club (61) 🔥 Unstoppable (7) ❓ The Questioner

Conferences

ICML (10) NIPS (9) EMNLP (9) AAAI (6) ACL (4) NAACL (3) ICLR (3) CVPR (3) ICCV (2) ECCV (2) ACML (2) EACL (1) COLT (1) COLING (1) IJCAI (1) INTERSPEECH (1) MICCAI (1) AISTATS (1) UAI (1) WACV (1)

Top co-authors

Anshumali Shrivastava (8) Zhaozhuo Xu (5) Masashi Sugiyama (3) Tao Yu (3) Li Zhang (3) Chris Callison-Burch (3) Han Lin (3) Yu Cao (3) Nan Lu (3) Tatsunori Hashimoto (3)

Research topics

Computer Vision (1)

Keywords

large language model (7) transformer architecture (4) representation learning (3) code generation (3) contrastive learning (3) semi-supervised learning (3) foundation model (2) spectral analysis (2) diffusion model (2) point cloud (2) graph representation (2) text generation (2) language model (2) graph theory (2) text classification (2) attention mechanism (2) text summarization (2) risk management (2) empirical risk minimization (2) benchmark evaluation (1)

Papers

Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy AAAI 2026

MASTER: A Multi-Agent System with LLM Specialized MCTS NAACL 2025

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems ACL 2025

Quanta Neural Networks: From Photons to Perception ICCV 2025

Probing Political Ideology in Large Language Models: How Latent Political Representations Generalize Across Tasks EMNLP 2025

A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation EMNLP 2025

Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation EMNLP 2025

From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization CVPR 2025

Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation ICML 2025

Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video ICLR 2025

Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos ICML 2025

Selective Prompt Anchoring for Code Generation ICML 2025

Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce AAAI 2025

Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy ICCV 2025

LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid ICLR 2025

A powerful and modern AAC composition tool for impaired speakers INTERSPEECH 2024

KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization NIPS 2024

NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention NIPS 2024

Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks NIPS 2024

Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation AAAI 2024

Transformer-Based Selective Super-resolution for Efficient Image Refinement AAAI 2024

Compositional Inversion for Stable Diffusion Models AAAI 2024

PROC2PDDL: Open-Domain Planning Representations from Texts ACL 2024

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision CVPR 2024

Robust Incremental Structure-from-Motion with Hybrid Features ECCV 2024

CodeJudge: Evaluating Code Generation with Large Language Models EMNLP 2024

A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks EMNLP 2024

GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs ICML 2024

Generating Progressive Images from Pathological Transitions via Diffusion Model MICCAI 2024

PDDLEGO: Iterative Planning in Textual Environments NAACL 2024

Patch-Based Selection and Refinement for Early Object Detection WACV 2024

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations EMNLP 2023

Evaluating Verifiability in Generative Search Engines EMNLP 2023

TempLM: Distilling Language Models into Template-Based Generators ACL 2023

Human-in-the-loop Schema Induction ACL 2023

Efficient Graph Field Integrators Meet Point Clouds ICML 2023

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation ICML 2023

Coder Reviewer Reranking for Code Generation ICML 2023

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback NIPS 2023

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions NIPS 2023

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs IJCAI 2023

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization EACL 2023

Graph Self-supervised Learning via Proximity Distribution Minimization UAI 2023

Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification EMNLP 2022

Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization ACML 2022

LADIS: Language Disentanglement for 3D Shape Editing EMNLP 2022

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing COLING 2022

Decentralized Training of Foundation Models in Heterogeneous Environments NIPS 2022

From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers ICML 2022

Retaining Knowledge for Learning with Dynamic Definition NIPS 2022

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection AAAI 2021

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery CVPR 2021

Learning to Stop with Surprisingly Few Samples COLT 2021

On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies NAACL 2021

Revisiting Few-sample BERT Fine-tuning ICLR 2021

Demystifying Orthogonal Monte Carlo and Beyond NIPS 2020

Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation ECCV 2020

A One-step Approach to Covariate Shift Adaptation ACML 2020

Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach AISTATS 2020

Identifying Mislabeled Data using the Area Under the Margin Ranking NIPS 2020

SWALP : Stochastic Weight Averaging in Low Precision Training ICML 2019

Simplifying Graph Convolutional Networks ICML 2019