Tianjun Zhang

Orcid: 0000-0003-2059-0709

According to our database1, Tianjun Zhang authored at least 58 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Underwater Organism Image Dataset and a Lightweight Module Designed for Object Detection Networks.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

MC-VEO: A Visual-Event Odometry With Accurate 6-DoF Motion Compensation.
IEEE Trans. Intell. Veh., January, 2024

A new oversampling-based full-duplex radar jamming method with a single antenna.
Digit. Signal Process., 2024

Recursive Introspection: Teaching Language Model Agents How to Self-Improve.
CoRR, 2024

Gaussian-Forest: Hierarchical-Hybrid 3D Gaussian Splatting for Compressed Scene Modeling.
CoRR, 2024

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models.
CoRR, 2024

GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications.
CoRR, 2024

RAFT: Adapting Language Model to Domain Specific RAG.
CoRR, 2024

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.
CoRR, 2024

Multitask Vision-Language Prompt Tuning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

In-Context Principle Learning from Mistakes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

R2E: Turning any Github Repository into a Programming Agent Environment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM-Assisted Code Cleaning For Training Accurate Code Generators.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AgentBench: Evaluating LLMs as Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLoCO: Learning Long Contexts Offline.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Iterative Prompt Relabeling for diffusion model with RLDF.
CoRR, 2023

Controllable Text-to-Image Generation with GPT-4.
CoRR, 2023

Gorilla: Large Language Model Connected with Massive APIs.
CoRR, 2023

Energy-based Predictive Representations for Partially Observed Reinforcement Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

The Wisdom of Hindsight Makes Language Models Better Instruction Followers.
Proceedings of the International Conference on Machine Learning, 2023

Adaptively Hashing 3DLUTs for Lightweight Real-time Image Enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

TEMPERA: Test-Time Prompt Editing via Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Spectral Decomposition Representation for Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Latent Variable Representation for Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Efficient Planning in a Compact Latent Action Space.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Online Correction of Camera Poses for the Surround-view System: A Sparse Direct Approach.
ACM Trans. Multim. Comput. Commun. Appl., 2022

CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-Agent Based Visual-Inertial SLAM.
IEEE Trans. Image Process., 2022

MOFIS<sub>SLAM</sub>: A Multi-Object Semantic SLAM System With Front-View, Inertial, and Surround-View Sensors for Indoor Parking.
IEEE Trans. Circuits Syst. Video Technol., 2022

TEMPERA: Test-Time Prompting via Reinforcement Learning.
CoRR, 2022

Graph Backup: Data Efficient Backup Exploiting Markovian Transitions.
CoRR, 2022

A free lunch from the noise: Provable and practical exploration for representation learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Contrastive Learning as Goal-Conditioned Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CLUT-Net: Learning Adaptively Compressed Representations of 3DLUTs for Lightweight Image Enhancement.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Making Linear MDPs Practical via Contrastive Representation Learning.
Proceedings of the International Conference on Machine Learning, 2022

Towards Underwater Image Restoration: A Physical-Accurate Pipeline and a Large Scale Full-Reference Benchmark.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Multi-objective Optimization by Learning Space Partition.
Proceedings of the Tenth International Conference on Learning Representations, 2022

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
A 2.46M Reads/s Seed-Extension Accelerator for Next-Generation Sequencing Using a String-Independent PE Array.
IEEE J. Solid State Circuits, 2021

Multi-objective Optimization by Learning Space Partitions.
CoRR, 2021

NovelD: A Simple yet Effective Exploration Criterion.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MADE: Exploration via Maximizing Deviation from Explored Regions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Space Partitions for Path Planning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ROECS: A Robust Semi-direct Pipeline Towards Online Extrinsics Correction of the Surround-view System.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Contrastive Code Representation Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
BeBold: Exploration Beyond the Boundary of Explored Regions.
CoRR, 2020

Multi-Agent Collaboration via Reward Attribution Decomposition.
CoRR, 2020

A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Oecs: Towards Online Extrinsics Correction For The Surround-View System.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

A 2.46M reads/s Genome Sequencing Accelerator using a 625 Processing-Element Array.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

2019
ANODEV2: A Coupled Neural ODE Evolution Framework.
CoRR, 2019

ANODEV2: A Coupled Neural ODE Framework.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018
AI Matrix - Synthetic Benchmarks for DNN.
CoRR, 2018

GenAx: A Genome Sequencing Accelerator.
Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

2017
基于均匀设计的差分进化算法的参数设定 (Parameter Establishment of Differential Evolution Algorithm Based on Uniform Design).
计算机科学, 2017

2016
Parameter Establishment of Differential Evolution Algorithm Based on Uniform Design and the Effect of Different Number of Levels.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016


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