MPLS Inter-Autonomous System (AS) Traffic Engineering (TE) Requirements. - Raymond Zhang; Jean-Philippe Vasseur (RFC, 2005)

Requirements for Header Compression over MPLS. - Jerry Ash; Bur Goode; Jim Hand; Raymond Zhang (RFC, 2005)

Reoptimization of Multiprotocol Label Switching (MPLS) Traffic Engineering (TE) Loosely Routed Label Switched Path (LSP). - Jean-Philippe Vasseur; Yuichi Ikejiri; Raymond Zhang (RFC, 2006)

The evolution of carrier ethernet services-requirements and deployment case studies [next-generation carrier ethernet]. - Luyuan Fang; Nabil Bitar; Raymond Zhang; Michael Taylor (IEEE Commun. Mag., 2008)

OSPF Protocol Extensions for Path Computation Element (PCE) Discovery. - Jean-Louis Le Roux; Jean-Philippe Vasseur; Yuichi Ikejiri; Raymond Zhang (RFC, 2008)

IS-IS Protocol Extensions for Path Computation Element (PCE) Discovery. - Jean-Louis Le Roux; Jean-Philippe Vasseur; Yuichi Ikejiri; Raymond Zhang (RFC, 2008)

A Per-Domain Path Computation Method for Establishing Inter-Domain Traffic Engineering (TE) Label Switched Paths (LSPs). - Jean-Philippe Vasseur; Arthi Ayyangar; Raymond Zhang (RFC, 2008)

Inter-AS Requirements for the Path Computation Element Communication Protocol (PCECP). - Nabil Bitar; Raymond Zhang; Kenji Kumaki (RFC, 2008)

A Backward-Recursive PCE-Based Computation (BRPC) Procedure to Compute Shortest Constrained Inter-Domain Traffic Engineering Label Switched Paths. - Jean-Philippe Vasseur; Raymond Zhang; Nabil Bitar; Jean-Louis Le Roux (RFC, 2009)

Requirements for Supporting Customer Resource ReSerVation Protocol (RSVP) and RSVP Traffic Engineering (RSVP-TE) over a BGP/MPLS IP-VPN. - Kenji Kumaki; Raymond Zhang; Yuji Kamite (RFC, 2010)

Mandatory Features in a Layer 3 Multicast BGP/MPLS VPN Solution. - Thomas Morin; Ben Niven-Jenkins; Yuji Kamite; Raymond Zhang; Nicolai Leymann; Nabil Bitar (RFC, 2012)

MPLS Transport Profile (MPLS-TP) Applicability: Use Cases and Design. - Luyuan Fang; Nabil Bitar; Raymond Zhang; Masahiro Daikoku; Ping Pan (RFC, 2013)

T-RECSYS: A Novel Music Recommendation System Using Deep Learning. - Ferdos Fessahaye; Luis Perez; Tiffany Zhan; Raymond Zhang; Calais Fossier; Robyn Markarian; Carter Chiu; Justin Zhan; Laxmi P. Gewali; Paul Yu Oh (ICCE, 2019)

On the Suboptimality of Thompson Sampling in High Dimensions. - Raymond Zhang; Richard Combes (NeurIPS, 2021)

Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems. - Alvaro Cabrejas Egea; Raymond Zhang; Neil Walton (CoRR, 2021)

Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies. - Raymond Zhang; Neha Nayak Kennard; Daniel Scott Smith; Daniel A. McFarland; Andrew McCallum; Katherine Keith (ACL (Findings), 2023)

Curse of Dimension of Thompson Sampling for Combinatorial Bandits : (Invited presentation). - Richard Combes; Raymond Zhang (Allerton, 2023)

ACPO: AI-Enabled Compiler-Driven Program Optimization. - Amir H. Ashouri; Muhammad Asif Manzoor; Duc Minh Vu; Raymond Zhang; Ziwen Wang; Angel Zhang; Bryan Chan; Tomasz S. Czajkowski; Yaoqing Gao (CoRR, 2023)

Work-in-Progress:ACPO: An AI-Enabled Compiler Framework. - Amir H. Ashouri; Muhammad Asif Manzoor; Minh Vu; Raymond Zhang; Ziwen Wang; Angel Zhang; Bryan Chan; Tomasz S. Czajkowski; Yaoqing Gao (CASES, 2024)

Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox. - Raymond Zhang; Richard Combes (NeurIPS, 2024)

Linear Bandits on Ellipsoids: Minimax Optimal Algorithms. - Raymond Zhang; Hedi Hadiji; Richard Combes (COLT, 2025)