Search Results for author: Haoming Li

Found 12 papers, 5 papers with code

RRescue: Ranking LLM Responses to Enhance Reasoning Over Context

no code implementations15 Nov 2023 Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu

Our approach, named RRescue, suggests a promising avenue for enhancing LLMs' contextual understanding via response ranking.

Question Answering Response Generation

Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures

no code implementations14 Jun 2023 Haoming Li, Yu Xiang, Haodong Xu, Wenyong Wang

As a hot topic in recent years, the ability of pedestrians identification based on radar micro-Doppler signatures is limited by the lack of adequate training data.

Moccasin: Efficient Tensor Rematerialization for Neural Networks

1 code implementation27 Apr 2023 Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina

The deployment and training of neural networks on edge computing devices pose many challenges.


Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint

no code implementations17 Oct 2022 Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye

To tackle the challenge, we introduce an intermediate variable for grasp contact areas to constrain the grasp generation; in other words, we factorize the mapping into two sequential stages by assuming that grasping poses are fully constrained given contact maps: 1) we first learn contact map distributions to generate the potential contact maps for grasps; 2) then learn a mapping from the contact maps to the grasping poses.

Grasp Generation Robotic Grasping +1

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

no code implementations14 Apr 2022 Jiamin Liang, Xin Yang, Yuhao Huang, Haoming Li, Shuangchi He, Xindi Hu, Zejian Chen, Wufeng Xue, Jun Cheng, Dong Ni

Our main contributions include: 1) we present the first work that can synthesize realistic B-mode US images with high-resolution and customized texture editing features; 2) to enhance structural details of generated images, we propose to introduce auxiliary sketch guidance into a conditional GAN.

Image Generation

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback

1 code implementation13 Aug 2021 Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He

The delayed feedback problem is one of the imperative challenges in online advertising, which is caused by the highly diversified feedback delay of a conversion varying from a few minutes to several days.

GuideBoot: Guided Bootstrap for Deep Contextual Bandits

no code implementations18 Jul 2021 Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He

The proposed method is efficient as it can make decisions on-the-fly by utilizing only one randomly chosen model, but is also effective as we show that it can be viewed as a non-Bayesian approximation of Thompson sampling.

Multi-Armed Bandits Thompson Sampling

Classification with Strategically Withheld Data

1 code implementation18 Dec 2020 Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer

To this end, we present {\sc IC-LR}, a modification of Logistic Regression that removes the incentive to strategically drop features.

Classification General Classification +1

Minimizing Time-to-Rank: A Learning and Recommendation Approach

1 code implementation27 May 2019 Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye

Consider the following problem faced by an online voting platform: A user is provided with a list of alternatives, and is asked to rank them in order of preference using only drag-and-drop operations.

A Cost-Effective Framework for Preference Elicitation and Aggregation

1 code implementation14 May 2018 Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey Kephart, Nicholas Mattei, Hui Su, Lirong Xia

We propose a cost-effective framework for preference elicitation and aggregation under the Plackett-Luce model with features.

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