Australia’s ETM says its 2016 “strategic relationship” with state-backed Shenghe has effectively ended; wants to strip Shenghe of shareholding top-up rights linked to stalled Kvanefjeld project
Australia’s ETM says its 2016 “strategic relationship” with state-backed Shenghe has effectively ended; wants to strip Shenghe of shareholding top-up rights linked to stalled Kvanefjeld project
The project is helmed by Director Wang Shenghe, and starring #DengJiajia, #SuXiaoding, #HaiLu, #SunRui and #LiuXun.
The project is helmed by Director Wang Shenghe, and starring #DengJiajia, #SuXiaoding, #HaiLu, #SunRui and #LiuXun.
‘China Rare Earth Group net profit H1’2026 236.95 million yuan, up 47%…China Rare Earth Nonferrous Metals estimating H1’2026 430 million yuan, up <600%…Shenghe Resources Holding expects H1’2026 net profit up 112-147%…Xiamen Tungsten net profit likely grew 129%’
‘China Rare Earth Group net profit H1’2026 236.95 million yuan, up 47%…China Rare Earth Nonferrous Metals estimating H1’2026 430 million yuan, up <600%…Shenghe Resources Holding expects H1’2026 net profit up 112-147%…Xiamen Tungsten net profit likely grew 129%’
Real-world robot learning is constrained by the cost of collecting experience and evaluating candidate behaviors. Video generation models offer a scalable…
Shenghe Zheng et al.
Real-world robot learning is constrained by the cost of collecting experience and evaluating candidate behaviors. Video generation models offer a scalable…
Shenghe Zheng et al.
https://asia.nikkei.com/spotlight/supply-chain/china-s-shenghe-raises-bid-for-australian-rare-earth-miner-peak-by-23
https://asia.nikkei.com/spotlight/supply-chain/china-s-shenghe-raises-bid-for-australian-rare-earth-miner-peak-by-23
Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou
tl;dr: VO scheduling and visual–inertial fusion->sequential decision->RL
arxiv.org/abs/2511.21083
Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou
tl;dr: VO scheduling and visual–inertial fusion->sequential decision->RL
arxiv.org/abs/2511.21083
Scaling Physical Reasoning with the PHYSICS Dataset
https://arxiv.org/abs/2506.00022
Scaling Physical Reasoning with the PHYSICS Dataset
https://arxiv.org/abs/2506.00022