Chen Tang
@ChenTangMark
Followers
234
Following
247
Media
6
Statuses
52
Incoming Assistant Professor in New Mobility @UCLA | CS Postdoc @UTAustin | ME PhD @UCBerkeley
Austin, TX
Joined June 2020
I’m excited to share that I will be joining the CEE Department at @UCLA as an Assistant Professor in New Mobility this Fall! I am recruiting Ph.D. students for Fall25/Spring 26/Fall26. There are also opportunities for master’s, undergrads, and postdocs.
3
3
43
RT @yoonchangsung: I’m hiring multiple PhD students and one postdoc at NTU Singapore, starting in Spring or Fall 2026, to push the frontier….
0
61
0
RT @ThomasYuxinChen: 💡Can we let an arm-mounted quadrupedal robot to perform task with both arms and legs? . Introducing ReLIC: Reinforceme….
0
50
0
RT @cuijiaxun: [1/n] Can LLM Agents learn to communicate and coordinate in natural language in driving scenarios 🚗 through self-play intera….
0
9
0
RT @TheOfficialACM: 🙌 Meet the 2024 ACM Technical Awards Recipients!.We’re proud to honor this year’s innovators in autonomous systems, cry….
0
14
0
I am deeply grateful to my advisors, mentors, friends, and family for their support throughout my job search! Looking forward to this new chapter at UCLA!.
0
0
2
Check out my website for more details about opportunities for prospective students: Feel free to share this with anyone who might be interested!.
1
0
2
At UCLA, I will be building a research group focused on autonomous driving, robotics, and AI/ML-driven control, aiming to enable the safe and trustworthy deployment of autonomous mobility systems in human-centered environments, including transportation systems and beyond.
1
0
2
Organizers: @ChenTangMark, @yifengzhu_ut, Yue Meng, @siddkaramcheti, @andreea7b . Advisory Board: @yukez, @PeterStone_TX.
0
0
0
We are also inviting contributions! If your research aligns with our workshop themes, we’d love to see your work presented. Looking forward to seeing you in Atlanta soon!. Workshop Website:
1
0
0
A fantastic lineup of robotics and AI experts will discuss new paradigms for human-robot interaction powered by large models and datasets and the challenges in making this vision a reality.
1
0
0
Foundation models like LLMs and VLMs have transformed AI and our digital interactions, but what challenges arise when these models operate in physical, human-centric environments? Join us at the human-centered robot learning workshop at #ICRA2025 to explore these questions!
1
13
28
RT @sunjiao123sun_: Mitigating racial bias from LLMs is a lot easier than removing it from humans! . Can’t believe this happened at the bes….
0
813
0
RT @JiahengHu1: 🚀Unsupervised RL can learn skills purely from reward-free interactions with an environment. But what form of skills can fac….
0
15
0
RT @Chenfeng_X: Please stop by our poster if you are at #IROS . We propose a simple yet effective method for representing learning in traje….
0
1
0
RT @RL_Conference: 30 years of RL research and superhuman Gran Turismo: so excited to share @PeterStone_TX's talk:.(link below) https://t.c….
0
43
0
RT @JiahengHu1: 🚀 Despite efforts to scale up Behavior Cloning for Robots, large-scale BC has yet to live up to its promise. How can we bre….
0
37
0
RT @sethzhao506: Introducing our paper recently accepted to #IROS2024: Pre-training on Synthetic Driving Data for Trajectory Prediction, wh….
0
1
0
RT @JieWang_ZJUI: Fantastic Survey on Robot Learning.I've stayed tuned for more beautiful insights.
0
3
0
RT @rohanchandra30: How has Deep RL impacted real world robotics? A very exciting collaboration with @UTAustin and @texas_robotics.
0
3
0