Jason Chun Lok Li

According to our database, Jason Chun Lok Li authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

RSTFA: Efficient Training-Free Human-Preference Alignment via Rejection Sampling for Text-to-Image Diffusion Models.

Hongzheng Yang, Jason Chun Lok Li, Kun Li, Wenao Ma, Mingjie Xu, Yuzhi Zhao, Lai-Man Po

IEEE Trans. Image Process., 2026

VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models.

Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training.

Donglai Xu, Hongzheng Yang, Yuzhi Zhao, Pingping Zhang, Jinpeng Chen, Wenao Ma, Zhijian Hou, Mengyang Wu, Xiaolei Li, Senkang Hu, Ziyi Guan, Jason Chun Lok Li, Lai Man Po

CoRR, November, 2025

Lite It Fly: An All-Deformable-Butterfly Network.

Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong

IEEE Trans. Neural Networks Learn. Syst., January, 2025

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-Vocabulary Scene Graph Generation with Enhanced Spatial Relations.

Mingjie Xu, Mengyang Wu, Yuzhi Zhao, Jason Chun Lok Li, Weifeng Ou

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation.

Ziyi Guan, Jason Chun Lok Li, Zhijian Hou, Pingping Zhang, Donglai Xu, Yuzhi Zhao, Mengyang Wu, Jinpeng Chen, Thanh-Toan Nguyen, Pengfei Xian, Wenao Ma, Shengchao Qin, Graziano Chesi, Ngai Wong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers.

Binxiao Huang, Jason Chun Lok Li, Chang Liu, Ngai Wong

CoRR, 2024

Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution.

Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Nonparametric Teaching of Implicit Neural Representations.

Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik-Chung Wu, Ngai Wong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference.

Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Spatially Collaged Fourier Bases for Implicit Neural Representation.

Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PECAN: A Product-Quantized Content Addressable Memory Network.

Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

A Unifying Tensor View for Lightweight CNNs.

Jason Chun Lok Li, Rui Lin, Jiajun Zhou, Edmund Yin Mun Lam, Ngai Wong

Proceedings of the 15th IEEE International Conference on ASIC, 2023