Houcheng Jiang

According to our database, Houcheng Jiang authored at least 18 papers between 2024 and 2026.

Collaborative distances:

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

2026

NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels.

Junfeng Fang, Nachuan Chen, Houcheng Jiang, Dan Zhang, Fei Shen, Xiang Wang, Xiangnan He, Tat-Seng Chua

CoRR, March, 2026

LPEdit: Locality-Preserving Knowledge Editing for MultiModal Large Language Models.

Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Xingyu Zhu, Xiang Wang, Xiangnan He

Proceedings of the ACM Web Conference 2026, 2026

2025

Contrastive Weak-to-strong Generalization.

Houcheng Jiang, Junfeng Fang, Jiaxin Wu, Tianyu Zhang, Chen Gao, Yong Li, Xiang Wang, Xiangnan He, Yang Deng

CoRR, October, 2025

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation.

Xingrui Qin, Wentao Zhao, Chuan Cao, Yihe Niu, Houcheng Jiang, Jingchuan Wang

CoRR, June, 2025

Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs.

Houcheng Jiang, Zetong Zhao, Junfeng Fang, Haokai Ma, Ruipeng Wang, Yang Deng, Xiang Wang, Xiangnan He

CoRR, June, 2025

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems.

Zherui Li, Yan Mi, Zhenhong Zhou, Houcheng Jiang, Guibin Zhang, Kun Wang, Junfeng Fang

CoRR, June, 2025

Accelerating Diffusion Transformer via Error-Optimized Cache.

Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, Yanbin Hao

CoRR, January, 2025

Explainable and Efficient Editing for Large Language Models.

Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He

Proceedings of the ACM on Web Conference 2025, 2025

Accelerating Diffusion Transformer via Error-Optimized Cache.

Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, Xingyu Zhu, Yanbin Hao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

AnyEdit: Edit Any Knowledge Encoded in Language Models.

Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Reinforced Lifelong Editing for Language Models.

Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LaMP-Val: Large Language Models Empower Personalized Valuation in Auction.

Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Neuron-Level Sequential Editing for Large Language Models.

Houcheng Jiang, Junfeng Fang, Tianyu Zhang, Baolong Bi, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang

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

2024

Large Language Models Empower Personalized Valuation in Auction.

Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Chi Luo, Junkang Wu, Jiancan Wu, An Zhang, Xiang Wang

CoRR, 2024

Neuron-Level Sequential Editing for Large Language Models.

Houcheng Jiang, Junfeng Fang, Tianyu Zhang, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang

CoRR, 2024

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua

CoRR, 2024

Towards Neuron Attributions in Multi-Modal Large Language Models.

Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024