DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback

1 code implementation • 13 Jun 2023 • Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin

1) The travel time of a vehicle is delayed feedback on the effectiveness of TSC policy at each traffic intersection since it is obtained after the vehicle has left the road network.

Reinforcement Learning (RL)

Visual Tuning

no code implementations • 10 May 2023 • Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen

With the surprising development of pre-trained visual foundation models, visual tuning jumped out of the standard modus operandi that fine-tunes the whole pre-trained model or just the fully connected layer.

Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training

1 code implementation • CVPR 2023 • Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen

During inference, instead of changing the motion generator, our method reformulates the input text into a masked motion as the prompt for the motion generator to ``reconstruct'' the motion.

Language Modelling Zero-Shot Learning

Road Network Guided Fine-Grained Urban Traffic Flow Inference

1 code implementation • 29 Sep 2021 • Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Junfan Lin, Liang Lin

Furthermore, we take the road network feature as a query to capture the long-range spatial distribution of traffic flow with a transformer architecture.

Towards a Reliable and Robust Dialogue System for Medical Automatic Diagnosis

no code implementations • 1 Jan 2021 • Junfan Lin, Lin Xu, Ziliang Chen, Liang Lin

To this end, we propose a novel DSMAD agent, INS-DS (Introspective Diagnosis System) comprising of two separate yet cooperative modules, i. e., an inquiry module for proposing symptom-inquiries and an introspective module for deciding when to inform a disease.

Decision Making

CAT-SAC: Soft Actor-Critic with Curiosity-Aware Entropy Temperature

no code implementations • 1 Jan 2021 • Junfan Lin, Changxin Huang, Xiaodan Liang, Liang Lin

The curiosity is added to the target entropy to increase the entropy temperature for unfamiliar states and decrease the target entropy for familiar states.

Reinforcement Learning (RL)

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp

1 code implementation • 30 Nov 2020 • Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin

Although deep reinforcement learning (RL) has been successfully applied to a variety of robotic control tasks, it's still challenging to apply it to real-world tasks, due to the poor sample efficiency.

Continuous Control Reinforcement Learning (RL)

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis

1 code implementation • 14 Mar 2020 • Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin

To eliminate this bias and inspired by the propensity score matching technique with causal diagram, we propose a propensity-based patient simulator to effectively answer unrecorded inquiry by drawing knowledge from the other records; Bias (ii) inherently comes along with the passively collected data, and is one of the key obstacles for training the agent towards "learning how" rather than "remembering what".

Medical Diagnosis