Publications (13)
OSC Community Lab: The Integration Test Bed for O-RAN Software Community
Fransiscus Asisi Bimo, Ferlinda Feliana, Shu-Hua Liao +6
O-RAN Software Community (OSC) is an open-source project collaborated by O-RAN Alliance and Linux Foundation, aiming to develop reference software components based on 3GPP and O-RA…
Validation of Matching
Ya Le, Eric Bax, Nicola Barbieri +3
We introduce a technique to compute probably approximately correct (PAC) bounds on precision and recall for matching algorithms. The bounds require some verified matches, but those…
Motubrain: An Advanced World Action Model for Robot Control
Motubrain Team, Chendong Xiang, Fan Bao +17
Motubrain is a unified world action model that jointly learns video and robot actions using a UniDiffuser and Mixture-of-Transformers architecture, enabling policy learning, world…
UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale
Hanyu Li, Yi-Ping Hsu, Aditya Mantha +17
Modern recommendation systems predominantly train retrieval and ranking as separate models despite both increasingly relying on large transformers encoding the same user behavior d…
Quantization Robustness of Monotone Operator Equilibrium Networks
James Li, Philip H. W. Leong, Thomas Chaffey
Monotone operator equilibrium networks are implicit-layer models whose output is the unique equilibrium of a monotone operator, guaranteeing existence, uniqueness, and convergence.…
Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest
Zhibo Fan, Hongtao Lin, Haoyu Chen +4
Industrial recommendation systems are typically composed of multiple stages, including retrieval, ranking, and blending. The retrieval stage plays a critical role in generating a h…
VCG Payments for Portfolio Allocations in Online Advertising
James Li, Eric Bax, Nilanjan Roy +1
Some online advertising offers pay only when an ad elicits a response. Randomness and uncertainty about response rates make showing those ads a risky investment for online publishe…
Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed
Cheng Ju, James Li, Bram Wasti +1
Graph-based semi-supervised learning is a fundamental machine learning problem, and has been well studied. Most studies focus on homogeneous networks (e.g. citation network, friend…
Venus as an Exoplanet: I. An Initial Exploration of the 3-D Energy Balance for a CO Exoplanetary Atmosphere Around an M-Dwarf Star
Christopher D. Parkinson, Stephen W. Bougher, Franklin P. Mills +5
The chemical evolution of an exoplanetary Venus-like atmosphere is dependent upon the ultraviolet to near ultraviolet (FUV-NUV) radiation ratio from the parent star, the balance be…
Total Outcome Logic: Unified Reasoning for a Taxonomy of Program Logics
James Li, Noam Zilberstein, Alexandra Silva
While there is a long tradition of reasoning about (non)termination in program analysis, specialized logics are typically needed to give different termination criteria. This includ…
Exponential Weight Functions for Quasi-Proportional Auctions
Eric Bax, James Li, Zheng Wen
In quasi-proportional auctions, the allocation is shared among bidders in proportion to their weighted bids. The auctioneer selects a bid weight function, and bidders know the weig…
Revenue-Maximizing Mechanism Design for Quasi-Proportional Auctions
Zheng Wen, Eric Bax, James Li
In quasi-proportional auctions, each bidder receives a fraction of the allocation equal to the weight of their bid divided by the sum of weights of all bids, where each bid's weigh…
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting
Yu Huang, James Li, Min Shi +5
Ocean current, fluid mechanics, and many other spatio-temporal physical dynamical systems are essential components of the universe. One key characteristic of such systems is that c…