Pengliang Ji

According to our database, Pengliang Ji authored at least 23 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning.

Yutong Wang, Pengliang Ji, Kaixin Li, Baolong Bi, Tao Feng, Guillaume Sartoretti

CoRR, August, 2025

MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation.

Yutong Wang, Pengliang Ji, Chaoqun Yang, Kaixin Li, Ming Hu, Jiaoyang Li, Guillaume Sartoretti

CoRR, February, 2025

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts.

Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding.

Kaijing Ma, Haojian Huang, Jin Chen, Haodong Chen, Pengliang Ji, Xianghao Zang, Han Fang, Chao Ban, Hao Sun, Mulin Chen, Xuelong Li

CoRR, 2024

NeuroBind: Towards Unified Multimodal Representations for Neural Signals.

Fengyu Yang, Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng, Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin Zhao, Yuanning Li, Alex Wong

CoRR, 2024

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

Yixiao Wang, Yifei Zhang, Mingxiao Huo, Ran Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka

CoRR, 2024

Composition Vision-Language Understanding via Segment and Depth Anything Model.

Mingxiao Huo, Pengliang Ji, Haotian Lin, Junchen Liu, Yixiao Wang, Yijun Chen

CoRR, 2024

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts.

Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng

CoRR, 2024

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation.

Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment.

Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Make Continual Learning Stronger via C-Flat.

Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Mang Wang, Zixiang Zhao, Aojun Lu, Pengliang Ji, Tao Feng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

T2VBench: Benchmarking Temporal Dynamics for Text-to-Video Generation.

Pengliang Ji, Chuyang Xiao, Huilin Tai, Mingxiao Huo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TlTScore: Towards Long-Tail Effects in Text-to-Visual Evaluation with Generative Foundation Models.

Pengliang Ji, Junchen Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Study on the dynamic stability of circular saw blade during medium density fiberboard sawing process with thermo-mechanical coupling.

Mingyang Yu, Bin Wang, Pengliang Ji, Bo Li, Luo Zhang, Qingdong Zhang

Comput. Electron. Agric., August, 2023

Cross-Modal 2D-3D Localization with Single-Modal Query.

Zhipeng Zhao, Huai Yu, Chenwei Lyu, Pengliang Ji, Xiangli Yang, Wen Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Self-Supervised Dense Depth Estimation with Panoramic Image and Sparse Lidar.

Chenwei Lyu, Huai Yu, Zhipeng Zhao, Pengliang Ji, Xiangli Yang, Wen Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation.

Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.

Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

IMC-NET: Learning Implicit Field with Corner Attention Network for 3D Shape Reconstruction.

Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Biao Leng

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval.

Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Zehao Tang, Zhang Xiong

CoRR, 2021

Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test.

Pengliang Ji, Li Ruan, Yunzhi Xue, Limin Xiao, Qian Dong

CoRR, 2021

Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test.

Pengliang Ji, Ruan Li, Yunzhi Xue, Qian Dong, Limin Xiao, Rui Xue

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021